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I suppose the most direct comparison would be the …

Oct 12 • 1:38 PM EDT • Sports • sports.yahoo.com

Apple MacBook Pro 16 vs Microsoft Surface Laptop Ultra: Poll shows clear winner

With the launch of the newest Microsoft Surface Laptop Ultra, many people are comparing the laptop to the Apple MacBook Pro 16 with the M5 Pro. This comparison is quite apt, as both machines target the same audience. A poll run by Hardware Canucks has now revealed which laptop users prefer more.

Oct 12 • 6:25 AM EDT • Technology • notebookcheck.net

iPhone 18 Pro vs iPhone 17 Pro: Is the Upgrade Worth It?

iPhone 18 Pro vs iPhone 17 Pro: Check the camera, display, design, battery, charging, price and other one-on-one specs comparison here.

Oct 11 • 1:01 PM EDT • Technology • gizmochina.com

In MLB’s final 4, it’s the sport’s biggest spender and 3 budget-savvy rivals

A comparison of rosters brings into stark relief the vastness of the Dodgers’ financial edge over the Brewers, Guardians and Rays.

Oct 10 • 10:45 PM EDT • Sports • nytimes.com

A New Live Business Show Wants to Be CNBC for Gen-Z. A TBPN Designer Called It a 'Shameless Ripoff'

A social-media debate erupted after a tech entrepreneur posted side-by-side comparisons of the two live business shows.

Oct 9 • 8:00 AM EDT • Business • inc.com

Dallas Goedert Has Interesting Comparison for Cam Jurgens Trade

Oct 8 • 8:45 PM EDT • Sports • sports.yahoo.com

VistaJet receives luxury and business awards

VistaJet was commended by a luxury magazine, while also receiving an award for brand image and service at a Chinese finance summit.

Oct 6 • 2:47 PM EDT • Business • privatejetcardcomparisons.com

Apple iPhone 18 Pro Max gaming test shows up to 69% less performance loss than iPhone 17 Pro Max

I think it’s safe to say that the iPhone 18 Pro Max’s sustained thermal performance is pretty nice.

Oct 3 • 2:22 PM EDT • Technology • notebookcheck.net

Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs

Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share

Oct 2 • 1:57 PM EDT • Science • publisherpt.substack.com

Vance embodies Nixon’s populist, outsider qualities

There have been countless comparisons between the late President Richard Nixon and President Donald Trump, due to their cunning, guile, and Machiavellian approaches to politics. Nixon himself, in a 1987 letter to Trump, a then-celebrity businessman, saw a political future for the younger man in response to a Phil Donahue Show television appearance. But there’s […]

Oct 2 • 12:59 PM EDT • Politics • coloradopolitics.com

Orlando Magic's Nikola Vučević Draws Flattering Comparison for Sean Sweeney

The veteran center praises new head coach Sean Sweeney’s collaborative style, drawing a high-stakes parallel to the coach who sparked the best seasons of his storied career.

Oct 1 • 5:33 PM EDT • Sports • sports.yahoo.com

Yes, A Shark Can Hear You Scream. Scientists Just Proved They Can Hear Up To 70 Meters Away

That’s the length of the Bayeux Tapestry if you'd like a topical comparison.

Oct 1 • 12:08 PM EDT • Science • iflscience.com

September Monthly Review: Health MCP Guy?

For all the time I spend talking about APIs and data exchange, this newsletter has had embarrassingly little interoperability of its own. It’s old-school SaaS, baby - UI or bust. Not all of that is my fault! Substack, for all its popularity, is (as mentioned before) really frustrating as my system of record. The primary user it optimizes towards is the reader, whose attention feeds the app, the Notes feed, and the recommendation network that Substack is actually selling. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe They’re falling into the same trap that Medium once sprinted into, albeit at a much more glacial speed. Younger generations may not remember (or never knew) it, but Medium once lured publications like The Ringer and Signal v. Noise onto its platform, only to lose them as it rebuilt itself around a paywall and an algorithmic feed. Substack’s original pitch circa 2020 was the antidote (you own your list), but every new feed feature chips away at it. I get it: writers are generic supply in the eyes of the Substack product team. Generic supply follows demand, so the consistent pressure on the PMs is to generate demand, which leads to every product cycle going toward discovery (Notes, recommendations, the app, live video). The end result lackluster author tools (laggy and broken analytics are truly crippling) all despite the premium price point. The archive is where it crosses from authorial gripes to actual reader impact, though. Across Substack and LinkedIn, I’ve published 1,218 posts and nearly 900,000 words since 2018. Substack’s native search can see only the 464 posts that live on Substack, and even there it’s woefully inadequate at surfacing relevant content (even for the guy who wrote it)! Readers have the same problem, writ large. Ask the Archive Fixing search (for both my readers and my own use) turned out to be extremely non-trivial, unfortunately: There’s no public API for readers to access content RSS exists for new content notification, but it only carries the 20 most recent posts and cuts paid ones off at the preview The only Substack MCP is an admin tool for analytics The export exists for authors, but it’s painfully awkward and slow. So I built something to work around that: the Health API Guy MCP. It’s a private MCP server holding the full text of everything I’ve written across Substack and LinkedIn. Add it to Claude or ChatGPT as a connector and you can ask things like: It pairs keyword search (for acronyms and case names, of which we have many) with semantic search. Every post is also labeled by topic, form, and court case, so you can pull a lawsuit’s (or multiple cases’) entire docket across Substack and LinkedIn in one query: Hail, Healthapiguyhydra This is also a bit of me eating my own cooking. I’ve spent the year arguing that headless healthcare is arriving and that developers want primitives over abstractions. Last week in Hail, Benihydra, I watched Salesforce plug its platform into Claude and bet that the records underneath outlive whatever interface sits on top: Salesforce must believe that the Hydra’s immortal head is the records, permissions, and business logic (in that they will survive whatever happens to the interface). It felt a bit hypocritical to keep my own archive behind a Substack search bar. The archive is the body. Substack is one head, and now whatever tool you might use is another. Will the EHRs follow my lead? Probably not imminently, but one can hope! Why Founding Members Only The MCP is available to Founding Member subscribers. A few reasons: It costs money and time to run. Hosting, the database, Clerk usage and AI compute for search and labeling are significant operational costs (that increase with usage). Substack gives me no way to automate access. There’s no API to check whether someone is a paid subscriber, so every user is manual operations for now. It’s a beta. We’ll need to improve things and parts will break. I’d rather they break for a small group of dedicated readers who will tell me about it. The Founding tier deserved a real benefit. Until now it was mostly a generous tip. Now it comes with something. If you’re already a Founding Member, reply to this email with the address you’d like provisioned. If you’re not and want in, upgrade here. Larger teams (such as companies) can get access too: group subscriptions at the Founding tier come with the group discount. The admin for the subscription can reply with the list of addresses to provision. Get 20% off a group subscription Pricing Founding membership is now a flat $200 a year, replacing the old suggested $150 that readers could adjust. Existing Founding Members will have access grandfathered in at their previous rate. Month in Review Articles Published Make Networks Dumb Again (Sep 11): AI is making old analog networks cheaper to use and flooding them with machine traffic in the process. A plea for agent-native rails with the intelligence at the endpoints, and for Washington to drag them to ubiquity. Interoperability, Unbuttoned (Sep 29): Interoperability is a series of workflows in a trenchcoat, and this post finally takes the trenchcoat off. A color-coded map shows which provider workflows went digital, which are fragmented, and which still run on fax. Video Content Antitrust’s System of Record Problem (Sep 3): The FTC’s investigation into Epic prompted a ninety-minute webinar, now posted with chapters and a smoothed transcript. We get into why market definition, missing B2B share data, and the SSNIP test leave antitrust poorly suited to systems of record, plus why information blocking may be doing more than any pending lawsuit. The Information Exchange: Cerner Milking Edition (Sep 18): This was so fucking fun. Ryan Tucker, Ryan Brickner, Brad Thorson, and I try an Around the Horn format, complete with points, penalties, and a mute button. We debate whether Oracle Health is dead, who would actually buy Cerner (IBM enters the chat), p(Doom), and why the front desk still hands you a clipboard. Regulatory Ask Not What Your Network Can Do (Sep 23): CDC’s RFI on public health data intermediaries lists use cases already served, unevenly, by eCR, lab reporting, IZ Gateway, and syndromic surveillance. The real opportunity sits in one question about AI: a network that can handle the next emergency without another interface project. Court cases Particle v. Epic: The Naughty Schoolteacher (Sep 4): After a summer-long vigil, the answer on Epic’s early summary judgment bid is two paragraphs and a remedial assignment. Particle advances to the next grade, and market definition gets another year of discovery. The Epic Discovery Files (Sep 8): Texas’s motions to compel arrive with a 251-page appendix of requests, objections, and meet-and-confer letters with Cravath. Inside: Epic using generative AI for document review, denied interoperability requests in scope, and Noerr-Pennington raised against lobbying discovery. Epic v. Health Gorilla: “Working as Designed” (Sep 9): Epic wants nothing to do with the data breach MDL, and explaining why puts fresh discovery on the public docket. The spiciest allegation: Health Gorilla told GuardDog to scrub its law firm business from its website instead of cutting off access. Veeva v. Epic: Legal Bypass Surgery (Sep 15): Veeva asks the Wisconsin Supreme Court to skip the Court of Appeals, while law professors and three policy groups line up as amici. Meanwhile, Epic’s lawyers apologize for another round of citation errors, including a quote that never existed. Texas v. Epic: Behind the Black Bars (Sep 17): The court portal served up Epic’s unredacted filings, revealing a $5 million document review budget and the AI workflow behind it. Also inside: the 200-plus company names Texas wants searched, and one very expensive Zoom invitation. OpenEvidence v. Doximity: Consequences Will Follow (Sep 25): OpenEvidence tells the court it will not comply with a discovery order, and its own lawyers at Quinn Emanuel say they won’t defend the choice. Add years of Slack reported unrecoverable, and Rule 37 sanctions come into view. Health Tech Keeps Choosing Violence (Sep 28): Doximity moves to end OpenEvidence’s case, Epic asks Texas to show its work, and a sleepy Audacious Inquiry patent fight sprouts antitrust and information blocking counterclaims. The main event is a long-sealed Cognizant v. Infosys ruling that hints where system of record antitrust claims can survive. EHRs One Verb for Oracle Health (Sep 14): Oracle’s earnings call quantifies every data center to the decimal point, while Oracle Health gets a single verb: “accelerate.” Panning the few healthcare mentions turns up an agentic care management system, a research-to-care ledger play, and the question of whether healthcare gets Larry’s patience. Epic’s Forretress Under Siege (Sep 30): Judy Faulkner tells a panel Epic paused hundreds of projects to harden its software and calls it a “shame,” while a spokesperson insists the roadmap hasn’t changed. Project Glasswing, a Pokémon-branded QAN sprint, and a trove of Jodel grievances reconcile the two Epics and preview the Jevons paradox coming for all software. Industry Analysis Scanning for a Network (Sep 1): Scan.com raises $220M to build the imaging network labs never got, speedrunning Zocdoc’s consumer-to-B2B pivot. Its wedge to network density may be the most American one available: personal injury litigation. The Front Desk Wants the Damn Whole Building (Sep 16): Hello Patient buys Converse Health, pushing its AI front desk into referrals, chart work, and prior auth. The copilot categories keep blurring, and your distribution partner is still your final boss. Cross-industry Comparisons A Different Patchwork Quilt (Sep 10): Healthcare loves to envy open banking, but the US version has no mandate, a toll booth at Chase, and data quality problems of its own. The grass isn’t greener; it’s another American patchwork quilt, and perhaps a worse one. Hail, Benihydra (Sep 21): Salesforce brings its platform into Claude, Slack, and its own agent, inviting the interfaces that might replace it. Cut off one head and more grow back, so long as the records underneath stay put. Living on A Trade Secret Prayer (Sep 22): Six credit unions are suing Fiserv, the Epic of core banking, by claiming their own member records as trade secrets. Banking has no Cures Act, so its lawyers reach for legal alchemy that healthcare has already tried. Other News None this month External Media Nabla Accelerate NYC: I kicked off fall conference season at Nabla’s Accelerate event in New York, where Delphine Groll opened by asking the room to picture the company it wants to become and the one it doesn’t. I liked her framework of bureaucracy, fear, and ego as the blockers. I also love vendor conferences/events in general - different vibe than industry biggies. Healthcare 101 with Nikhil Krishnan: I briefly guest lectured Out-Of-Pocket’s Healthcare 101 class. Appreciated Nikhil’s takeaways cover whether AI doctors can query HIEs, why healthcare’s data-liberation rules beat most industries’, and the hi-res graphic is in the comments. HCN: Epic Probed by the FTC: I joined the HCN guys to talk through the FTC’s investigation into Epic. Cedric’s new hairdo was an unexpected plot twist. The episode also covers MFN drug pricing, healthcare M&A and Eli Lilly’s acquisition streak. Fall Conferences: At eHealth Exchange’s Annual Meeting in Austin on Oct 27, I’ll moderate a panel on the tensions between AI, HIEs, and timely patient access with Jean Ross (Primary Record), Therasa Bell (Kno2), Byron Crowe (Doctronic), and Michael Marchant (Freenome). Here’s the rest of my schedule if you want to meet up: CommonWell (Redwood Shores, CA): Oct 13-14 Will be participating in a fun Jeopardy event Open@Epic (Madison, WI): Oct 20-23 Will be enjoying Verona, Willy Street, and other local adventures eHealth Exchange and Sequoia Project (Austin, TX): Oct 27-29 Yeehaw HLTH (Vegas): Nov 15-18 Groundhog Day, Venetian Edition RSNA (Chicago): Nov 30-Dec 2 See me at “Governing AI in Breast Imaging: What Health Systems Are Actually Doing” Digital Health Counsel 2026 AI Summit (Seattle): December 2-3 Will likely be speaking to a bunch of lawyers about information blocking Posts I Liked ChatGPT’s Epic integration: game changer or nothing burger?: Joshua Liu, MD offers five thoughts on OpenAI’s Epic launch, starting from the point that it rides the same open APIs available to anyone. He argues read-only access leaves ordering to Art and the ambient startups, and asks why HCA is piloting it alongside Commure. He’s sorta a must-follow at this point - consistently excellent, thought-provoking takes. Epic, Lilly, and the Discovery pass: Seth Chaney reads Epic’s first major Discovery deal (with Eli Lilly), as well as its revised developer terms on commercial displays, as the pipe finally opening between EHRs and pharma. Life sciences and health continue to collide. Scott Rossignol on EHR payer platforms and ePA fees: Scott argues the top ambulatory EHR vendors are turning the prior auth mandate into a per-member-per-year toll on payers, for an API whose operating cost has nothing to do with covered lives. His fix is two lines of regulatory text: put the CRD/DTR/PAS certification criteria in the Base EHR definition, and bring payer-facing ePA connectivity under § 170.404’s cost-based fee rules. It’s a good solution. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe

Oct 1 • 4:36 AM EDT • Health • healthapiguy.substack.com

In Shanghai's 'Science City,' China's ascendant biotechs make their pitch to the world

A small conference with big ambitions mirrors the rapid growth of Chinese biotech, invites comparisons to U.S. biotech gathering also known for deal-making.

Oct 1 • 4:30 AM EDT • Science • statnews.com

Kevin Huerter Has Been Fighting the Kyle Korver Label

Kevin Huerter has heard the same comparison since college, and he says Detroit is where he finally answers it. #Pistons

Sep 30 • 8:20 PM EDT • Sports • sports.yahoo.com

Gustavo Sá Dismisses Comparison Between Greek and Portuguese Leagues

Olympiacos midfielder Gustavo Sa reflects on his record-breaking tenure at Famalicão while detailing why the tactical quality of Portuguese football remains a step ahead of the Greek Super League.

Sep 30 • 4:44 PM EDT • Sports • sports.yahoo.com

Detroit Pistons: Langdon Draws Zion Williamson Comparison With Jalen Duren

Despite an offseason filled with negotiation, Jalen Duren still hasn’t signed a contract with the Detroit Pistons

Sep 29 • 7:00 AM EDT • Sports • sports.yahoo.com

I'm Still Shocked at the Pixel 11 Pro Being 56% Off

There aren’t many deals that we find that seem too good to be true, yet basically are as good as advertised. When you throw a wireless carrier into the mix of the deal, you then almost always assume the worst. However, Verizon is still running a Pixel 11 Pro deal that really is as good...

Sep 28 • 2:09 PM EDT • Technology • droid-life.com

Apple releases macOS 27.0.1, macOS 26.7.1 and macOS 15.8.1

Following two release candidates, Apple today released macOS Tahoe 26.7.1 and macOS Sequoia 15.8.1, as well as macOS 27.0.1.

Sep 28 • 1:15 PM EDT • Technology • 9to5mac.com

Famitsu sales (9/14/26 - 9/20/26) - first week sales revealed for Fire Emblem: Fortune's Weave

The latest Japanese hardware sales from Famitsu are as follows: Switch 2 – 34,341 PS5 Digital Edition – 7,441 Switch OLED – 2,634 Switch Lite – 2,248 Switch – 823 PS5 Pro – 219 PS5 – 187 Xbox Series X – 136 Xbox Series X Digital Edition – 116 Xbox Series S – 19 For comparison’s sake, here are the...

Sep 28 • 9:14 AM EDT • Technology • nintendoeverything.com

Jakobi Meyers had perfect comparison for facing former Patriots team

Jaguars wide receiver Jakobi Meyers is looking forward to facing his former team, the Patriots, on Sunday.

Sep 26 • 1:01 PM EDT • Sports • sports.yahoo.com

Xiaomi 18 Pro vs. Xiaomi 18 Pro Max: Video shows big difference between the two Leica main cameras

There are obvious and less obvious differences between the two new Leica camera flagships based on the 2 nm Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6 chipsets. The difference between their main camera sensors is far from transparent, but it makes a major difference in daily life, as a comparison video demonstrates.

Sep 26 • 9:47 AM EDT • Technology • notebookcheck.net

Intel Panther Lake Teardown, 18A, BSPD, GAAFET, SemiAnalysis STEEL

Panther Lake debuts the first commercial implementation of backside power delivery (BSPDN), introduces Intel’s first iteration of gate-all-around (GAA) transistors, and showcases their advanced packaging capabilities with its Foveros-S assembly. With Panther Lake, Intel’s manufacturing arc has shifted from nebulous roadmaps to shipped silicon, a significant milestone on their long road back to competitive semiconductor manufacturing. To evaluate the extent of Intel’s comeback, we tore down Panther Lake. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Our teardown traces 18A from its four-sheet RibbonFETs (Intel’s marketing name for GAAFETs) and gate stacks through contacts, frontside and backside wiring, and the bonded carrier. We explain how these material and integration choices improve gate control and reduce resistance, while adding capacitance, thermal resistance, and process complexity. Our measurements put Panther Lake’s 18A compute logic and TSMC N3E GPU logic at similar logic density. However, 18A does not lead TSMC N3P, N2 or Samsung SF2 in peak density. Panther Lake’s CPU cores are incremental updates, and the high-end GPU still uses TSMC N3E. Panther Lake assembles one compute tile, one GPU tile, and one I/O tile atop a passive base tile using Intel’s Foveros-S advanced packaging. Both compute tile variants use Intel 18A. The Xe3 GPU options are a 4-core GT1 tile on Intel 3 and a larger 12-core GT2 tile on TSMC N3E. Both I/O tile variants use TSMC N6. [1], [2] Our analysis centers on the PTL-U compute tile, both the 4-core and 12-core GPU tiles, as well as the 12-lane I/O tile. In conventional chips, power and signal are routed through the same frontside metal stack towards the device frontend. Power rails consume scarce routing resources near the transistors, while tall via stacks carry VDD and VSS from the coarse upper wires to local rails. Backside power delivery (BSPD) moves the main power network behind the transistor layer, to the backside, separating it from frontside signal routing. We covered BSPD and its impacts in 2024. [3], [4], [5] Intel’s BSPD implementation, branded as “PowerVia”, routes power through dedicated backside metals to nano-TSVs, which connect those rails to local source/drain (S/D) contacts. Implementing that separation requires Intel to build the interconnect stacks from both sides of the wafer. The frontside comprises the M0-M14 signal stack, while the backside comprises the BM0-BM5 power stack. M0 and BM0 are closest to the transistors. The nano-TSVs connect the two sides, but Intel patterns and etches each via from the front after forming the contacts. A narrow via runs from the side of the contact deep into the silicon substrate. Intel then completes the frontside signal metal stack, bonds the wafer to a carrier, flips it and removes the original substrate until the buried via tips are exposed. The backside metal stack is then deposited directly on the revealed vias. The nano-TSV and backside-via profiles taper in opposite directions because Intel forms them from opposite sides of the wafer. The transistor structures form the FEOL. Local contacts and nano-TSVs connect them to the wiring. M0 begins the frontside interconnect stack. The silicon carrier remains attached above the frontside interconnects. It supports the device wafer during substrate removal and backside processing and remains part of the finished chip’s thermal path. PowerVia removes the main power distribution from the congested frontside metals, routing supply through shorter and wider backside wires. Its lateral landing still occupies area in the standard cell, so it recovers less cell area than a direct backside contact. [3] Nano-TSVs beside the logic devices carry VDD or VSS from the backside power network, while signal connections continue upward through the frontside metals. Backside Interconnects Samsung SF2 data is included for comparison to Panther Lake’s within this article. SF2 is the incumbent GAA foundry node but lacks BSPD, serving as a useful reference to evaluate 18A. A full teardown of Samsung’s S26 products, processed on SF2, will be shared soon.Nanosheet-cut EDS comparison. The PowerVia supply path runs from the backside Cu rails through Mo-lined W nano-TSVs to the local transistor contacts. In this cross section, the tapered connection spans roughly 150 nm from the contact level to BM0. The Ta liner confines Cu and promotes adhesion to the surrounding stack; the AlOₓ etch stop controls the next dielectric etch above the rail. Dielectric beneath the ribbons electrically separates the devices from the backside wiring and removes the conducting silicon body below the channel. [6] AlOₓ serves as an etchstop (ES), enabling endpointing and protecting the underlying layers. Low-volatility aluminum fluoride reaction products resist the fluorinated plasma, allowing a thin AlOₓ film to protect the metal while the surrounding low-k dielectric is removed. [6], [7]. While the BM0 and layers above the M1 lines show double AlOx layers, Our SMIC N+3 teardown showed single AlOₓ layers. SMIC uses a simpler local AlOₓ substack, while the remaining cap and etch sequence provide the required landing protection. So why double layers? The closely spaced AlOₓ doublets provide two protected endpoints in the etch sequence. Intel documents an AlOₓ/SiN/AlOₓ stack that explains the benefit. The main dielectric plasma etch stops on the first AlOₓ film; a selective wet clear opens that film; a second plasma etch removes the intermediate SiN and stops on the second AlOₓ film. The final wet clear exposes the metal landing surface. SiN is the intermediate dielectric in Intel’s published example. [8] The second stop protects the metal through a cap breakthrough. Wide openings can etch faster than narrow ones, and etch depth varies across the wafer. Metal under an early-clearing opening would otherwise be exposed while other openings still need more etching. Staged protection widens the process window and reduces metal erosion, corrosion and void formation. [8] TSMC documents AlN/AlOₓ/SiOC/AlOₓ above Cu, with AlN blocking Cu diffusion, and a simpler AlN/SiOC/AlOₓ variant that omits one AlOx film. [9] Levels with different opening sizes, aspect ratios, pattern densities and cap materials need different etch margins. A double AlOx stop is useful where another protected endpoint justifies the added processing. The extra film adds formation, selective opening and cleaning steps, plus another set of interfaces to control adhesion, moisture, and stress. These blanket films are opened through the existing via pattern, so each film does not require another lithography mask. AlOₓ adds parasitic capacitance when it replaces lower-k dielectric; two thin AlOₓ films can nevertheless contain less AlOₓ than one thick film. Total thickness, placement, and theintermediate dielectric determine the electrical cost. Deposition chemistry also changes AlOx permittivity and residual hydroxyl content, which can oxidize the underlying metal. [7], [8], [10], [11] The backside stack separates into relatively fine BM0-BM2 wiring near the devices and coarser BM3-BM5 power distribution. The largest pitch increase occurs between BM2 and BM3. BM0’s pitch closely matches the logic-row height, fitting local power delivery to the cell rows. Higher levels aggregate current through larger conductors: routing density becomes less important than low resistance and current capacity as the network approaches the package. This hierarchy provides wide power wiring for the power delivery network without consuming scarce frontside signal-routing resources. [3] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Frontside Interconnects Intel 18A combines Mo-lined W contacts and nano-TSVs with a separate backside Cu power network. Samsung SF2 keeps power on the frontside, using Ti-based contact interfaces and Ta-based barriers and Co liners around Cu wiring. In 18A standard-cell rows, backside power rails supply the devices through nano-TSVs within the cells, freeing frontside routing resources. Samsung’s M0 accommodates both power and signal connections. From the device toward M0, the connection runs through a Ti-based S/D interface, W contact fill, a Mo-lined W via, and the Cu M0 wire. Mo supplies a conductive nucleation and adhesion layer for W, replacing the resistive TiN liner used in conventional W integration. This increases the effective conduction volume within the feature while retaining W fill and its established polishing, cleaning and etching processes. Intel’s Mo/W patent describes this integration tradeoff. The nano-TSV uses the same Mo-lined W construction in the backside supply path. [12] The move from TiN to Mo is an incremental change. While a full Co or Mo fill can also reduce the volume lost to liners in very small features, it requires new integration schemes that increase complexity and risk. Cu remains attractive for wider wires due to its low resistance. As wires and vias shrink, the diffusion barrier consumes an increasing fraction of their cross-section. [12], [12], [14] Intel uses Co/Ru liners at M0-M1, Co at M2-M4, and Nb at M5-M9. The lower-level liners help Cu adhere and reduce void formation during trench fills. Applied Materials’ Endura has new thermal control that facilitate wetting process, so the thin film continuity is good enough that good capillary pressure will drive Cu atoms to the via bottom without voiding. Intel’s choice to use Nb is particularly interesting. Intel’s Nb patent describes a conductive diffusion barrier intended to reduce the barrier’s contribution to resistance relative to conventional Ta-based barriers, particularly at via bottoms where all current crosses the barrier. The patent pairs Nb in coarser levels with the option of lower-cost PVD processing. [15], [16] The upper metal layers support thicker barriers formed through physical vapor deposition (PVD) despite its worse coverage and uniformity. Meanwhile, the lower metal layers require thinner barriers deposited through conformal atomic layer deposition (ALD). Co/Ru adds another material interface and requires controlled deposition and Cu fill. Changing liners and barriers by metal layer allows Intel to optimize interconnect resistance, process complexity, and reliability. [15, 16] RibbonFET, Intel’s name for its gate-all-around FETs (GAAFETs), replaces the FinFET’s vertical fins with four stacked horizontal silicon nanosheets, allowing the gate to surround the channel on every side. The path to GAAFET begins with the planar transistor. A planar MOSFET places the gate above the channel between its source and drain. Pairing an NMOS with a PMOS transistor creates a CMOS inverter, in which the NMOS pulls the output low for a high input, and the PMOS pulls it high for a low input. The gate must retain electrostatic control of the channel to ensure clean switching. As gate lengths shrank, the drain began to compete with the gate for that control, increasing off-state leakage. Electrostatic control was restored through an architectural evolution that raised the channel into a vertical fin and wrapping the gate around three sides. Called “FinFET”, this new architecture packed more effective channel width into a smaller footprint. Further scaling made it harder to maintain both drive current and leakage within smaller cells, and reintroduced the same problems planar MOSFETs faced. Nanosheet GAAFETs close the fourth side by replacing the vertical fin with a stack of horizontal nanosheets, each surrounded by the gate. The tighter electrostatic control suppresses leakage at shorter gate lengths while stacking adds effective channel width within the cell footprint. In a FinFET process, channel width changes in discrete steps as designers must add or remove whole fins. Nanosheet width can instead be adjusted continuously within the process’s design rules. Wider sheets increase drive current, while narrower sheets reduce capacitance at the cost of drive current. Intel 18A uses stacks of four nanosheets each and varies their widths across logic and SRAM. At the process level, adding more sheets to each stack increases effective channel width and drive current, but complicates fabrication. RibbonFET vs MBCFET Samsung began GAAFET production in 2022 with SF3E, following with SF3 and now SF2. Its ‘MBCFET’ provides a useful structural comparison with Intel’s first RibbonFET implementation. [17] STEEL is digging deeper into SF2, used in the Exynos 2600, and TSMC’s GAAFET N2, used in Apple’s A20 Pro, in upcoming newsletter articles. We’re throwing some teasers on X. Let’s compare Samsung SF2’s MBCFET with Intel 18A’s RibbonFET. Subscribe Even to the untrained eye, Intel’s extra nanosheet is obvious. Intel stacks four ribbons to Samsung’s three. Samsung’s sheets are much wider in these fields, so both sheet count and width matter to the available channel perimeter. Sheet width also changes which silicon surfaces carry current. On conventional (001) silicon, wide nanosheets emphasize the broad top and bottom surfaces, favoring electron transport; the larger sidewall contribution in a narrow sheet favors hole transport. Thinner sheets improve gate control but increase confinement and scattering. This makes width and thickness part of the NMOS/PMOS balance, alongside strain and threshold voltage. [18], [19] GAAFET designs like 18A use different work-function-metal (WFM) stacks for NMOS and PMOS. Around each ribbon, a thin SiOx interfacial layer separates the silicon channel from the HfOx high-k dielectric, with La providing dipole tuning and the WFM wrapping the dielectric. NMOS uses a TiAl-based stack, while PMOS uses TiN WFM. W fills the remaining gate trench, providing a lower-resistivity path where the work-function layers are no longer needed. In this field, the PMOS stacks leave room for W between ribbons, while the NMOS stacks occupy more of those gaps. A silicon-based dielectric marks the P/N boundary, allowing the PMOS and NMOS gates, sharing the same gate trench, to be processed sequentially. Fast logic paths, retention circuits, and SRAM need a family of threshold options. Changing threshold without substantially changing device dimensions, capacitance or fabrication complexity is valuable. FinFET processes typically use different work-function-metal stacks. In a four-ribbon GAA stack, the narrow sheet-to-sheet gap limits how much WFM can fit around each channel. La in the gate dielectric creates interfacial dipoles at the SiOx/HfOx boundary, shifting effective work function and tuning threshold voltage. This gives Intel another control alongside its NMOS and PMOS WFM stacks. Low-threshold devices improve critical-path drive; higher thresholds reduce leakage elsewhere. Dipole tuning is especially useful in GAA because it changes threshold without consuming the narrow intersheet gap with thicker WFM. Precise control of La incorporation, diffusion and interface quality has long been a challenge, limiting viability in high volume production but is now seen from every leading-edge foundry. Intel’s patent describes depositing a dipole-forming oxide above HfOx and annealing it toward the interfacial oxide before completing the work-function and fill metals. This separates threshold tuning from the space available for metal. Newer research addresses the thermal cost: imec’s 2026 dipole-middle research inserts the shifter between two HfOx depositions, shortening the diffusion path while protecting SiOx during patterning. [20], [21]Matched-cut EDS, Intel 18A (left) vs. Samsung SF2 (right). Intel retains raised source/drain epi beneath its contacts, while Samsung recesses W deep into the epi to form a V-shaped Ti-lined interface. The deeper contact increases metal-to-semiconductor area and shortens the current path from the lower sheets, reducing contact and spreading resistance. It also removes epi volume and brings the contact etch closer to the channel ends. Retaining more epi preserves the material available for strain transfer, especially from SiGe into PMOS. These geometries balance contact access against stress engineering and etch margin. [22], [23] Samsung stacks three sheets to Intel’s four ribbons, and both processes use sheet width to tune drive strength. In our Samsung cross-sections, widths range roughly from 19 to 30 nm in the NPU rows and 37 to 50 nm in the CU cell. The Samsung nanosheets taper, with the widest sheet at the bottom and the narrowest at the top. Both processes use HfOx gate dielectric and Ti-based work-function stacks, with Al in the NMOS stack. In the Samsung devices shown here, the dielectric and WFM occupy the intersheet gaps, leaving W above the top sheet. Intel’s PMOS stack leaves more room between ribbons, and W fills those gaps while the thicker NMOS stack leaves W mainly in the upper trench. Gate-stack EDS maps. The W between Intel’s PMOS ribbons provides a conductive path close to the lower gates. Where WFM fills the entire gap, the gate still surrounds the channel, but voltage reaches it through the more resistive work-function films. Thinner WFM and dipole tuning preserve room for low-resistivity fill; Mo and Ru are alternative fill metals being developed for further scaling. [24] A masked, sequential WFM flow explains the different gate heights and inter-nanosheet fill. The proposed sequence below shows how separate NMOS and PMOS work-function steps produce that geometry. Enabled by the BSPDN process, Intel replaces the dense-logic silicon subfin with dielectric, removing the parasitic conduction path below the ribbons and reducing substrate-related capacitance. A retained silicon body as in classical, non-SOI, planar and FinFET designs needs junction and punchthrough-stop engineering to suppress leakage. Dielectric isolation makes that leakage less sensitive to the subfin doping profile but adds removal and fill steps. It also weakens the direct thermal path through silicon, making the contacts, metal stacks and package more important for heat extraction. [24], [26] Fluorine is concentrated around selected Intel device structures in the maps. WF6 is a standard precursor for W nucleation and fill, while barrier films protect adjacent dielectrics from fluorine attack. Low-fluorine W processes reduce the residual-F burden. Chloride-based precursors avoid introducing F during W deposition, but require control of chlorine attack, nucleation and fill quality. The integration target is a continuous, low-resistance W path with a thin protective liner and minimal chemical damage to the surrounding stack. [20], [27], [28] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. We measured cell height, gate pitch, metal geometry, and ribbon dimensions at the XTEM sites shown below. The tables group these dimensions by site and device polarity. Our “sheet cuts” cross the silicon channel and show the ribbons end-on. “gate cuts” run along the channel through successive gates. The 18A logic cell dimensions point to a five-track logic library while the N3E and Intel 3 cell dimensions evidence a seven-track logic library. The DDR-PHY uses wider M0 wires and much larger spacing than core logic. That trades routing density for lower wire resistance and weaker coupling between neighboring nets. The geometry suits the current delivery and coupling requirements of analog, clock, and I/O circuitry. PowerVia lets 18A combine a compact cell height with wider M0 geometry by moving the main power rails off the signal-routing tracks. That relaxes local wire scaling while preserving a small cell footprint. Cell height and gate pitch set the geometric density; pin access and routability determine how much of it a real block can use. [29] The biggest takeaway from our gate-pitch measurements is that Intel 18A compute logic and TSMC N3E GPU logic have similar density in the Bohr representative-cell model. The 18A example is 18.6% denser than the Intel 3 GPU example. Gate pitches are nearly identical across the three sites, so cell height drives most of the difference. The Bohr model combines a four-transistor NAND2 spanning three gate pitches and a 32-transistor scan flip-flop (SFF) spanning nineteen pitches, weighting their densities 60:40. The sensitivity column shows how independently changing cell height and gate pitch by ±1 nm changes the result. This compares representative cell geometries; whole-die density also depends on cell mix and placement. The 18A P-core gives M0 substantially more metal cross section than the N3E vector engine. Treating each profile as a trapezoid gives 2.63 times the area per line and 1.84 times the area after normalization by routing pitch. The larger section reduces the geometric contribution to line resistance and lowers current density for a given current. Taller and wider wires also add capacitance, so circuit delay depends on the balance of resistance and capacitance. The DDR-PHY has less metal area per routing width than the 18A core fields, while remaining above N3E. [30] Area = height × (top CD + bottom CD) / 2, including liners. Area/pitch normalizes by routing width. Taper is the symmetric sidewall angle from vertical, with the largest angle belonging to the DDR-PHY. Compute tile The measurements show how ribbon dimensions and gate-stack geometry vary across the compute tile and between NMOS and PMOS to balance channel drive, gate load and the space needed for the dielectric/WFM stack across logic, SRAM and the DDR-PHY. Width mainly changes available channel perimeter; thickness also changes electrostatic control and carrier confinement. Gate-stack thickness then determines the space left for low-resistivity fill P-core and LP E-core logic Both the P-core and LP E-core use multiple nanosheet widths. Widths are measured on high-magnification XTEMs while wider-field images demonstrate additional width choices within the LP E-core. Multiple widths are expected even within an LP E-core. Timing-critical paths, buffers and cells with different fanout need different drive strengths. The lower-magnification fields show this width diversity beyond the sites quantified in the table. L2 and L3 SRAM GAA gives SRAM designers another way to balance the pull-up (PU), pass-gate (PG), and pull-down (PD) transistors. FinFET bitcells set device strength through fin count while GAA adds nanosheet width as a sizing knob. In a 6T SRAM cell, a strong pull-down relative to the pass-gate limits read disturbance, while a strong pass-gate relative to the pull-up improves writability. During a write, the pass-gate and write driver pull the node storing “1” below the inverter trip point. During a read, the pull-down holds the node storing “0” low. Bias, threshold voltage, mismatch and assist circuitry set the remaining margin. FinFET high-current cells commonly use a PU:PG:PD fin-count pattern of 1:2:2, a device-sizing ratio rather than a current ratio. Ribbon width lets Intel balance SRAM strengths without adding whole fins. The L2 cell uses its narrowest ribbons for PU and widest for PD, improving writability and read stability respectively. Intel’s disclosed HCC operates without assist; its denser HDC uses negative-bitline write assist. Pulling the selected bitline briefly below ground increases pass-gate overdrive so it can overpower the pull-up at lower supply voltage. That buys density and low voltage writability at the cost of boosting circuitry, switching energy, and additional voltage stress that must be controlled. [31], [32] Four rectangular ribbons give the perimeter = 8 × (width + thickness), before corner rounding. PG/PU is 1.49 and PD/PG is 1.16. The L3 structures closely resemble L2 in layout and cell height. Fewer L3 nanosheet widths are tabulated because fewer high-magnification images were available. DDR PHY The DDR-PHY trades density for controlled analog behavior and reliable off-chip signaling. It contains drivers, receivers, delay circuits, and calibration logic that set drive strength, sampling time, and voltage margin. Repeated four-sheet devices with similar widths fit the use of regular transistor units for matching and programmable drive. Its wider local wiring provides room for current delivery and separation of sensitive signals, while consuming more area than a dense core-logic grid. The layout serves the memory channel’s electrical requirements as well as digital logic density. [33] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Intel 3 GPU devices Vector engine logic Intel 3’s XVE logic uses two-fin PMOS and NMOS devices with power rails in M0. Its cell height and M0 pitch give a seven-track geometry, two tracks more than the 18A logic. One-fin groups also appear among the two-fin devices. Intel 3 L2 SRAM The Intel 3 L2 SRAM uses the familiar HCC sizing pattern: one PU fin, two PG fins, and two PD fins. N3E GPU devices Vector engine logic The N3E XVE field contains repeated two-fin devices with seven-track cell geometry. N3E remains a FinFET process, giving Panther Lake a direct FinFET-to-RibbonFET comparison. N3E L2 SRAM The N3E L2 SRAM uses the same PU:PG:PD fin-count pattern of 1:2:2. Panther Lake-U follows Lunar Lake’s floorplan quite closely. Both pair 4 P-cores with 4 LP E-cores and NPU, media and display engines in similar locations. Lunar Lake also uses Xe2, the direct predecessor to Panther Lake’s Xe3 GPU. This makes Lunar Lake the most direct basis for our comparisons. Arrow Lake differs in core count and uses the older Xe-LPG GPU architecture, so we only use it where it offers a more direct component-level comparison. Compute tile Panther Lake compute-tile floorplans remain sparse even months after launch. Intel 18A’s backside metal and dielectric stack must be removed without damaging the underlying structures before a clean transistor-level floorplan can be imaged. Most published die shots hide or heavily process the background, but we are quite proud of the die shot we achieved and are excited to show the work we have done. We measured the areas of the key components on the compute tile and compared them with their Lunar Lake predecessors on TSMC N3B. These help us to capture changes in block area and compare the two chips across process nodes and designs. Our total tile areas exclude the scribe-line area. The compute-plus-GPU subtotal below uses the PTL-U compute tile and GT1 GPU; it excludes the I/O tile and passive base. Individual block areas use the boundaries marked on the floorplans The compute-plus-GPU row is recomputed from the displayed PTL-U and GT1 areas. Component rows use their stated per-region counts and are not an additive partition of the whole tile. The P-core area remains almost unchanged between Lunar Lake and Panther Lake, despite L2 capacity increasing from 2.5 MiB to 3 MiB. Arrow Lake uses the same Lion Cove core as Lunar Lake but also has a 3 MiB L2. Cougar Cove fits 20% more L2 into the same P-core area. The larger private cache keeps more of each core’s working set close to its execution units, reducing access to shared L3 and DRAM. Extra capacity adds storage leakage and lookup energy, so designers balance it against avoided lower-level accesses. The shared P-core L3 cache also shrank by 14.8%. [2] Cougar Cove combines a similar footprint with Intel’s reported power-efficiency improvements. RibbonFET’s tighter channel control reduces leakage, while PowerVia reduces supply droop and allows tighter voltage guardbands. [1] Darkmont’s four-core LP E-core cluster is 5.0% smaller than Skymont’s on Lunar Lake, with most of the reduction in its L2 regions. The 1 MiB region shrank by 8.4% and the 1.5 MiB region by 14.9%. The tag arrays also use one fewer visible row. Tags identify which memory addresses the data array holds, so rearranging them changes the cache’s layout and wiring without requiring less data capacity. [2] The LP E-cores share one L2. This pools capacity and avoids duplicating all the cache machinery, but the four cores contend for its banks and bandwidth. Their separate cluster also keeps light work away from the performance cluster and its L3, allowing that larger domain to sleep. [1], [2] Cache area includes more than the storage cells. Tags identify each line, decoders select rows, sense amplifiers read the small bitline signal, and wires connect to the banks. Splitting an array into smaller sections shortens wordlines and bitlines, improving access speed, but duplicates peripheral circuits. Panther Lake’s smaller cache regions therefore reflect the complete memory implementation, including how much of each region is devoted to storage. [34] Unlike Meteor Lake and Arrow Lake, Panther Lake has no separate SoC tile. The NPU, LP E-cores, memory controllers, PHYs, media and display engines now share the compute tile. This removes an active die and keeps CPU memory traffic on one die. The cost is moving PHY and I/O-related circuitry onto 18A: drivers, receivers and analog circuits must still meet external voltage, loading and signal-integrity requirements, so their area does not shrink like dense digital logic. [1], [2] The biggest shrink comes from the NPU, which occupies 36.9% less area. NPU 5 consolidates the same total INT8 MAC count into half as many neural compute engines. Each of the three NCEs has a larger MAC array to make the complete NCE envelope 22.6% larger than an NPU 4 engine. Consolidation also halves the number of scratchpads and SHAVE DSPs, from 12 to 6. The MAC array handles matrix multiplication and convolution, while SHAVE executes vector and custom operations that fit the array poorly. [1], [2], [35] The paired floorplans identify each NCE envelope and its scratchpad, MAC, and SHAVE regions. Each measured MAC polygon is counted once per NCE in the area accounting below. The scratchpads store weights, activations, and intermediate results near the MAC arrays, allowing repeated use without fetching them again from DRAM. Halving their number delivers the largest measured area saving but leaves less local storage for the same total MAC count. Layers that no longer fit locally require smaller working tiles or more transfers of intermediate data. The benefit depends on keeping the enlarged arrays busy while managing that tighter storage budget. [36] NPU 5 also adds native FP8. Using half the operand width of FP16 reduces storage and transfer demand, helping workloads fit the smaller local memory budget. Lower precision and format-dependent range make scaling and model validation part of deployment. Hardware activation functions further reduce work that would otherwise occupy the programmable DSPs. [1], [2] Microsoft requires an NPU to deliver at least 40 TOPS for Copilot+ PCs. Both Lunar Lake and Panther Lake meet this threshold, but Panther Lake uses significantly less silicon. GPU tiles Panther Lake is Intel’s first product with Xe3, its latest GPU architecture. It offers two different GPU tiles: a smaller GT1 tile with 4 Xe3 cores on Intel 3 and a larger GT2 tile with 12 Xe3 cores on TSMC N3E. Panther Lake allows us to compare the same GPU architecture across both Intel 3 and TSMC N3E. Wildcat Lake adds a third Xe3 implementation on Intel 18A. A future newsletter will detail Xe3 and its implementation differences across all three process nodes. GT2 scales Xe3 to a different physical layout, with render slices arranged vertically instead of GT1’s horizontal arrangement. Slice placement sets the distances to shared cache banks and the D2D interface. Those wires consume area and add delay, so scaling the number of Xe cores also requires a new balance of cache placement, routing and timing. [1] What’s immediately obvious is that the GT2 tile on TSMC N3E has much smaller Xe cores than GT1. These block areas include logic, caches, and routing. An Xe core on the GT1 tile is ~69% larger than one on Lunar Lake, and ~55% larger than one on GT2. Intel 3 therefore uses substantially more area per Xe core. The block-area gap exceeds the measured logic and SRAM density gaps, bringing routing, timing targets, cell mix, and floorplan allocation into the comparison. The measured vector/matrix engine region is almost unchanged between Lunar Lake and Panther Lake’s GT2 tile. Xe3 retains eight 512-bit vector engines and eight 2048-bit XMX engines per core. Its gains also come from feeding those engines more effectively: more resident threads hide stalls, and variable register allocation lets shaders trade registers per thread against the number of threads kept active. [1] The shared L1/SLM capacity increased by 33% from 192 KiB to 256 KiB, while its area increased only 5%, raising effective density by 27%. L1 retains reused cache lines, while software-managed SLM lets a thread group share data locally. Both reduce traffic to more distant memory. Allocating more SLM per group can also limit how many groups reside on a core at once. [1], [37] The GT1 tile carries 4 MiB of L2 against 16 MiB on the GT2 tile. GT1 divides its L2 cache into four 1 MiB banks, while GT2 uses eight 2 MiB banks. Each bank contains 128 macros, but each N3E macro stores 16 KiB, twice the Intel 3 macro’s 8 KiB capacity. The N3E macro is only 54% larger while holding twice as many bits, giving it 30% higher density: ~23.7 Mbit/mm² versus 18.3 Mbit/mm². Including bank-level circuitry, the gap widens to ~16.9 Mbit/mm² on GT2 versus ~10.4 Mbit/mm² on GT1. GT2 gains density with its macros storing more bits per unit area, and those macros occupy more of each cache bank. Larger macros spread decoder and sense-amplifier overhead across more storage, while a more compact bank layout reduces the share spent on control and routing. The compromise is longer wordlines and bitlines that carry more capacitance. [34] I/O tile Panther Lake uses two I/O tile variants, both fabricated on TSMC N6. The smaller one provides 4 PCIe 5.0 and 8 PCIe 4.0 lanes and serves lower-tier systems as well as those without a discrete GPU, while the larger one adds 8 PCIe 5.0 lanes, bringing the total to 20 lanes, for discrete-GPU connectivity. Panther Lake SKUs with the larger 10- or 12-Xe GPUs use the smaller I/O tile. [38] The smaller I/O tile adds a PCIe 4.0 block and a Thunderbolt block to Lunar Lake’s I/O layout, providing four additional PCIe 4.0 lanes and another Thunderbolt 4 port. Its repeated N6 blocks retain nearly identical areas and layouts. Reusing these proven PHYs and controllers avoids porting and requalifying external interfaces on 18A, where faster digital logic offers less benefit to circuits constrained by the off-chip link. [38] SemiAnalysis’s teardown lab (STEEL) dives deep into the world’s advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. We’re hiring technical experts from system to transistor and everywhere in between. Check out our Careers page. Panther Lake offers scalability and modularity through its disaggregated packaging that partition compute, GPU, and I/O silicon into separate tiles allowing for a suite of tile configurations. This partitioning makes the package part of Intel’s node economics as it determines how much leading-edge wafer area each product consumes, which functions can remain on other processes, and how much configuration freedom Intel can offer from a shared set of tiles. Furthermore, fabricating the compute and GPU tiles separately confines the new 18A process to the compute tile and allows graphics and I/O to use other, more established, and more cost-effective processes. For Panther Lake, the GPU and I/O tiles are assembled alongside the compute tile on a passive silicon base using Foveros-S. Intel’s current technology brief lists a nominal 36 µm pitch for Foveros-S. Through-silicon vias (TSVs) in the base connect the fine wiring above to the larger package connections below. The functional tiles sit side by side on that passive base in a 2.5D configuration. [39] Our cross-section through the compute and GPU tiles shows the package’s wiring hierarchy. Microbumps connect each active tile to the passive silicon base; its fine redistribution layer (RDL) carries the short, dense tile-to-tile links. TSVs carry connections through the base to the package substrate, which fans them out to the much coarser motherboard solder joints. The base supplies interconnect, while computation remains in the active tiles above it. [39] At the compute-tile edge, the higher-magnification inset shows a local microbump spacing of approximately 25.24 µm and a feature width of 12.33 µm. These local spacings are finer than Intel’s nominal Foveros-S value. The X-ray fields further confirm tighter neighboring bumps, consistent across every die-to-die area found on each tile. Additional X-ray analysis is offered after the paywall. Putting the memory controller beside the CPU removes the D2D transfer that CPU memory requests required in Meteor Lake and Arrow Lake. This avoids the extra transmitter, receiver, and link traversal, saving interface energy and latency. Panther Lake’s separate GPU still crosses a D2D link to reach DRAM, so its larger local caches also help contain package traffic. [1], [40] Smaller dies are less likely to contain a random fatal defect, and screening them before assembly prevents one bad tile from consuming a complete package of good silicon. Reuse also spreads design and qualification work across more products. Against those gains, Intel pays for the passive base, D2D circuits, extra bonding and test steps, and losses during assembly. Cost per working product across the portfolio captures the combined effect of wafer yield, reuse, test, and assembly. [29] Wildcat Lake packaging Intel launched Core Series 3, formerly Wildcat Lake, on 16 April 2026 for value mobile and edge systems. Wildcat Lake keeps 18A but removes the passive base and combines more functions on one die to simplify the package. The two products therefore reveal two distinct ways to commercialize the same leading-edge process. [41] Wildcat Lake’s 18A die combines up to two Cougar Cove P-cores, four Darkmont LP E-cores, two Xe3 cores and a smaller NPU. A separate platform-controller die supplies I/O, connected through UCIe, Intel’s first processor implementation of the standard. Consolidating graphics remove a tile boundary and the passive base, reducing assembly complexity for a modest-bandwidth value product. It also ties CPU and graphics scaling to the same die, giving up Panther Lake’s ability to swap in a much larger GPU. [42], [43] In July 2021, Intel CEO Pat Gelsinger set out an ambitious process roadmap aimed at regaining performance leadership by 2025, later described as five nodes in four years. Five years and one CEO later, Intel’s comeback story is not as unambiguously positive as Pat may have hoped. [44], [45] Intel once set the pace for process technology, bringing high-k metal gate technology and FinFETs into volume production years ahead of the rest of the industry. Its 22 nm FinFET process reached consumers with Ivy Bridge in 2012. [46] Intel’s integrated device manufacturing (IDM) model allowed its architects and process engineers to co-optimize products and processes. Starting with Sandy Bridge, Intel dominated x86, while AMD struggled with Bulldozer. That lead faltered at 14 nm and broke at 10 nm. Intel targeted a massive 2.7× density increase, but the node arrived years late and required several revisions before it could support Intel’s full lineup. This delay forced Intel to stretch 14 nm across six generations, while TSMC moved ahead in process technology and AMD recovered in x86. By 2019, Intel was still shipping 14 nm across most of its product stack, with its 10 nm client ramp focused on Ice Lake mobile processors. Meanwhile, TSMC was shipping N7 and N7+, and AMD’s Zen 2 compute chiplets used N7 to raise core counts and improve efficiency. Intel’s process failures were central to its decline, but unsound business decisions furthered their downward slide. Product delays compounded product mistakes, pushing client, server, and FPGA roadmaps off schedule. Several attempts to enter AI (Nervana and Gaudi) and networking (Tofino) also failed to establish lasting businesses. Intel’s recovery has focused on consumer CPUs and advanced packaging. Tiger Lake, Alder Lake, Lunar Lake and now Panther Lake have restored Intel’s consumer roadmap. On the process side, Intel 4 shipped with Meteor Lake, Intel 3 with Granite Rapids and Sierra Forest, and Intel 18A with Panther Lake. Intel has also made advanced packaging part of its foundry offering. However, Intel is still playing catch-up in servers. Several Xeon generations arrived years late and trailed contemporary AMD and Arm server CPUs in performance, efficiency, and core count. The process roadmap is back, but Intel does not hold the same process-technology leadership position it held prior to 10 nm. The introduction of gate-all-around nanosheets and backside power delivery are two of the biggest changes to transistor integration in a decade. Intel took on both changes at once: 18A paired its first RibbonFET with PowerVia in Panther Lake. Panther Lake is a substantial manufacturing milestone. Our cross-sections show how RibbonFET and PowerVia reshape local contacts and wiring, while the floorplans show where architectural consolidation and process choices save area. A sustained competitive lead depends on product performance, cost, yield, and the next implementation. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page.. [1] Intel, “Intel Tech Tour 2025 Panther Lake recap,” Doc. 866361, 2025. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/866361/ITT_2025_Panther_Lake_Recap1.pdf [2] Intel, “Core Ultra processors Series 3 datasheet, volume 1,” Doc. 872188-001, Jan. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/872188/872188-001.pdf [3] N. Horiguchi and E. Beyne, “Backside power delivery: How to power chips from the backside,” imec Reading Room, Nov. 25, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://www.imec-int.com/en/articles/how-power-chips-backside [4] W. Hafez et al., “Intel PowerVia technology: Backside power delivery for high density and high-performance computing,” in Proc. IEEE Symp. VLSI Technol. Circuits, Kyoto, Japan, Jun. 2023, pp. 1–2, doi: 10.23919/vlsitechnologyandcir57934.2023.10185208. [5] K. Fischer et al., “Intel 18A platform technology featuring RibbonFET (GAA) and PowerVia for advanced high-performance computing,” in Proc. Symp. VLSI Technol. Circuits, Kyoto, Japan, Jun. 2025, pp. 1–3, doi: 10.23919/vlsitechnologyandcir65189.2025.11075006. [6] K.-F. Cheng, C.-L. Teng, H.-Y. Huang, and H.-C. Chen, “Metal oxide composite as etch stop layer,” U.S. Patent 12 176 247 B2, Dec. 24, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US12176247B2/en [7] S. W. King, “Dielectric barrier, etch stop, and metal capping materials for state of the art and beyond metal interconnects,” ECS J. Solid State Sci. Technol., vol. 4, no. 1, pp. N3029–N3047, 2015, doi: 10.1149/2.0051501jss. [8] A. V. Mule’, D. J. Towner, D. Seghete, C. R. Ryder, and A. A. Gonzalez, “Multi-layer etch stop layers for advanced integrated circuit structure fabrication,” U.S. Patent Appl. 20220102343 A1, Mar. 31, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US20220102343A1/en [9] C.-C. Wang and J. H. Wang, “Interconnect structure with dielectric cap layer and etch stop layer stack,” U.S. Patent Appl. 20230253247 A1, Aug. 10, 2023. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US20230253247A1/en [10] Y. J. Wu, K.-F. Cheng, C.-C. Lee, H.-K. Chang, and H.-Y. Huang, “Etch stop layer for interconnect structures,” U.S. Patent Appl. 20240332070 A1, Oct. 3, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US20240332070A1/en [11] M. G. Rainville, N. Shankar, K. S. Reddy, and D. M. Hausmann, “Deposition of aluminum oxide etch stop layers,” U.S. Patent Appl. 20180197770 A1, Jul. 12, 2018. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.justia.com/patent/20180197770 [12] J. S. Leib et al., “Conductive lines having molybdenum liner and tungsten fill for advanced integrated circuit structure fabrication,” U.S. Patent Appl. 20240429126 A1, Dec. 26, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.justia.com/patent/20240429126 [13] M. Naik, “Cobalt enables power and performance scaling at single-digit logic nodes,” Applied Materials, Dec. 17, 2018. Accessed: Sep. 14, 2026. [Online]. Available: https://www.appliedmaterials.com/us/en/blog/blog-posts/cobalt-enables-power-and-performance-scaling-at-single-digit-logic-nodes.html [14] Lam Research, “Breaking through AI’s invisible barrier with molybdenum,” Lam Research Newsroom, May 6, 2025. Accessed: Sep. 14, 2026. [Online]. Available: https://newsroom.lamresearch.com/molybdenum-metallization-ai-revolution [15] P. Yashar, G. Malyavanatham, and H. Vijwani, “Integrated circuit interconnect structures with niobium barrier materials,” U.S. Patent Appl. 20240112951 A1, Apr. 4, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US20240112951A1/en [16] Applied Materials, “Applied Materials unveils chip wiring innovations for more energy-efficient computing,” Applied Materials Investor Relations, Jul. 8, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://ir.appliedmaterials.com/news-releases/news-release-details/applied-materials-unveils-chip-wiring-innovations-more-energy [17] Samsung, “Samsung showcases AI-era vision and latest foundry technologies at SFF 2024,” Samsung Semiconductor, Jun. 13, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://semiconductor.samsung.com/news-events/news/samsung-showcases-ai-era-vision-and-latest-foundry-technologies-at-sff-2024/ [18] C. W. Yeung et al., “Channel geometry impact and narrow sheet effect of stacked nanosheet,” in Proc. IEEE Int. Electron Devices Meeting (IEDM), Dec. 2018, pp. 28.6.1–28.6.4, doi: 10.1109/iedm.2018.8614608. [19] S. Mochizuki et al., “Evaluation of (110) versus (001) channel orientation for improved nFET/pFET device performance trade-off in gate-all-around nanosheet technology,” in Proc. Int. Electron Devices Meeting (IEDM), Dec. 2023, pp. 1–4, doi: 10.1109/iedm45741.2023.10413854. [20] D. G. Ouellette et al., “Fabrication of gate-all-around integrated circuit structures having molybdenum nitride metal gates and gate dielectrics with a dipole layer,” U.S. Patent 12 051 698 B2, Jul. 30, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US12051698B2/en [21] imec, “Advancing the CFET-based device roadmap with novel integration modules and standard-cell architectures,” imec, 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.imec-int.com/en/articles/advancing-cfet-based-device-roadmap-novel-integration-modules-and-standard-cell [22] A. Reznicek, X. Miao, C. Lee, and J. Zhang, “Wrap around contact for nanosheet source drain epitaxy,” U.S. Patent 11 302 813 B2, Apr. 12, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US11302813B2/en [23] J. A. Kittl, J. G. Hong, D. R. Palle, and M. S. Rodder, “Methods for varied strain on nano-scale field effect transistor devices,” U.S. Patent 9 978 833 B2, May 22, 2018. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US9978833B2/en [24] S. Gandikota et al., “Method of reducing metal gate resistance for next generation NMOS device application,” Int. Patent Appl. WO 2024/137272 A1, Jun. 27, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/WO2024137272A1/en [25] J. Zhang et al., “Full bottom dielectric isolation to enable stacked nanosheet transistor for low power and high performance applications,” in Proc. IEEE Int. Electron Devices Meeting (IEDM), Dec. 2019, pp. 11.6.1–11.6.4, doi: 10.1109/iedm19573.2019.8993490. [26] C. Yoo, J. Chang, Y. Seon, H. Kim, and J. Jeon, “Analysis of self-heating effects in multi-nanosheet FET considering bottom isolation and package options,” IEEE Trans. Electron Devices, vol. 69, no. 3, pp. 1524–1531, Mar. 2022, doi: 10.1109/ted.2022.3141327. [27] S. S. Pradhan, D. B. Bergstrom, J.-S. Chun, and J. Chiu, “Tungsten gates for non-planar transistors,” European Patent Appl. EP 3 506 367 A1, Jul. 3, 2019. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/EP3506367A1/en [28] L. Schloss and X. Ba, “Tungsten films having low fluorine content,” U.S. Patent 9 754 824 B2, Sep. 5, 2017. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US9754824B2/en [29] Intel Foundry, “Accelerating AI and HPC with advanced process and packaging technologies,” Doc. 367370-001US, Jun. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2025-11/intel-foundry-hpc-ai-brief.pdf [30] M. Lofrano, X. Chang, H. Oprins, and Z. Tokei, “Mitigating the thermal bottleneck in advanced interconnects,” imec, Sep. 28, 2023. Accessed: Sep. 14, 2026. [Online]. Available: https://www.imec-int.com/en/articles/mitigating-thermal-bottleneck-advanced-interconnects [31] S. Bair, “Intel at ISSCC 2025: Navid Shahriari invited talk, eight papers, forums, panelist & product details,” Intel Community, Feb. 19, 2025. Accessed: Sep. 14, 2026. [Online]. Available: https://community.intel.com/t5/Blogs/Tech-Innovation/Edge-5G/Intel-at-ISSCC-2025-Navid-Shahriari-Invited-Talk-Eight-Papers/post/1667592 [32] D. Chandra, E. Potladhurthi, D. R. S. Reddy, and K. S. Rengarajan, “Tunable negative bitline write assist and boost attenuation circuit,” U.S. Patent Appl. 20160203857 A1, Jul. 14, 2016. Accessed: Sep. 14, 2026. [Online]. Available: https://patents.google.com/patent/US20160203857A1/en [33] Synopsys, “Advantages of firmware-based training in high-speed DDR IP,” Synopsys IP Technical Bulletin. Accessed: Sep. 14, 2026. [Online]. Available: https://www.synopsys.com/articles/firmware-based-training-ddr-ip.html [34] N. Muralimanohar, R. Balasubramonian, and N. P. Jouppi, “CACTI 6.0: A tool to understand large caches,” Hewlett-Packard Laboratories, 2009. Accessed: Sep. 14, 2026. [Online]. Available: https://users.cs.utah.edu/~rajeev/cacti6/cacti6-tr.pdf [35] Intel, “Intel Tech Tour 2024 Lunar Lake AI hardware accelerators,” Doc. 824436, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/824436/2024_Intel_Tech%20Tour%20TW_Lunar%20Lake%20AI%20Hardware%20Accelerators.pdf [36] Y.-H. Chen, J. Emer, and V. Sze, “Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,” in Proc. 43rd ACM/IEEE Annu. Int. Symp. Comput. Archit. (ISCA), Jun. 2016, pp. 367–379, doi: 10.1109/isca.2016.40. [37] Intel, “Introduction to the Xe-HPG architecture,” Doc. 758306, Nov. 4, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/developer/articles/technical/introduction-to-the-xe-hpg-architecture.html [38] Intel, “Core Ultra processors Series 3 for the edge,” Doc. 855291. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/855291/Intel%C2%AE%20Core%E2%84%A2%20Ultra%20Processors%20Series%203%20for%20Edge%20Overview_2.pdf [39] Intel Foundry, “Foveros technology brief,” Doc. 366411-001US, Feb. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2025-07/foveros-25d-product-brief.pdf [40] D. Das Sharma, “UCIe: Building an open chiplet ecosystem,” UCIe Consortium, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://www.uciexpress.org/_files/ugd/0c1418_c5970a68ab214ffc97fab16d11581449.pdf [41] Intel, “Intel launches Intel Core Series 3 processors,” Intel Newsroom, Apr. 16, 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/newsroom/news/client-computing/intel-launches-intel-core-series-3-processors-changing-the-game-for-everyday-computing.html [42] Intel, “Core Series 3 launch press deck,” Apr. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://download.intel.com/newsroom/2026/Intel-Core-Series-3/Intel-Core-Series-3-Launch-Press-Deck.pdf [43] Intel, “Intel outlines architectures for agentic AI at Hot Chips 2026,” Intel Newsroom, Aug. 24, 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/newsroom/news/client-computing/intel-outlines-architectures-for-agentic-ai-at-hot-chips-2026.html [44] Intel, “Intel accelerates process and packaging innovations,” Intel Investor Relations, Jul. 26, 2021. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/filings-reports/all-sec-filings/content/0001193125-21-224438/d199788dex991.htm [45] Intel, “Intel reports third-quarter 2021 financial results,” Intel Investor Relations, Oct. 21, 2021. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/news-events/press-releases/detail/1505/intel-reports-third-quarter-2021-financial-results [46] Intel, “3rd generation Intel Core processors bring exciting new experiences and fun to the PC,” Intel Investor Relations, Apr. 23, 2012. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/news-events/press-releases/detail/577/3rd-generation-intel-core-processors-bring-exciting

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The Big Holes in Wearable Heart Rate Variability And Readiness Scores

On September 9th, Apple announced it was revamping its Apple Watch Health Sensing System, rolling out a Readiness score (0 to 10), and increasing the frequency of heart rate variability (HRV) outputs 24-fold. This can be viewed as upping its competition with various other consumer wearable sensors. These “readiness scores” as a composite of multiple metrics, with heart rate variability (HRV) being front and center for most. The majority of Americans are now using wearable sensors, which equates to well over 100 million adults. HRV and Readiness scores are increasingly being marketed as a measurement of autonomic nervous system health, a digital marker for future disease, a clock for biological age, and a holistic metric to promote healthspan and even longevity. (Apple also introduced a new longevity tab and “Health Age”.) None of this has been proven. In this edition of Ground Truths I am going to review what we know about heart rate variability and readiness scores. Heart Rate Variability HRV is the variation in normal heart cycle timing. The variability of the heart rate, the barely perceptible millisecond changes in time between consecutive heart beats (see R-R intervals in the Figure below, left panel), is due to interplay between the sympathetic and parasympathetic (vagal nerve) inputs. Distinct from heart rate, individuals with the same heart rate can have very different HRVs. It is a rough reflection of the autonomic nervous system (ANS) activity, inadequate to say whether a person’s ANS function is abnormal. For more than three decades, heart rate variability (HRV) has been measured and several studies have found an association of low HRV and clinical outcomes, particularly a link with higher all-cause and cardiovascular mortality. There have also been less well established links of low HRV to risk of early cognitive impairment, dementia, mental illness, Type 2 diabetes and substance abuse. An important reminder is that HRV is a surrogate marker without any established cause-and-effect relationship. If you increase your HRV, that doesn’t mean it will improve health outcomes. In fact, there is no hard evidence for that. All that work linking to health outcomes was done with electrocardiogram (ECG) derived HRV. Now, in the era of consumer wearables, this is getting assessed differently, by optical pulse (yes, the lights you see) plethysmography (PPG) or what is called pulse rate variability (PRV). They are not the same, as shown below (right panel) and only concordant when the delay between the ECG and pulse is kept constant, which basically means at rest. I should mention there’s also what I will call MPV, a mattress mechanical movement sensor, a derived heart rate variability, that companies like Eight Sleep use, even further away from directly measuring HRV. HRV has not one uniform measurement but many different types of quantification, such as RMSSD, the magnitude of difference between successive R-R intervals of normal sinus beats (N-N) or SDNN, the standard deviation of NN intervals, both in milliseconds. SDNN is one of the so-called frequency domain HRVs (others are LF, HF, LF/HF). Different wearable sensors use different metics; Apple has relied on SDNN and nearly all of the others use RMSSD, which is generally considered the more accurate metric. There’s also the different length of time measured, such as for a matter of minutes, all day, or an overnight’s sleep. Short measurements are especially problematic since they don’t capture enough of respiratory modulation and other factors that influence HRV. Share Ground Truths How well does HRV correlate with PRV? There are very limited studies, especially independently done. One that is commonly cited was conducted by Air Force researchers in only 13 healthy adults assessing Oura ring 3 and 4, Whoop 4.0, and Garmin Fenix 6 and showed a correlation coefficient of 0.88 to 0.97 and a mean absolute percentage error from 6 to 10%. The correlation is not a perfect 1.0, but there’s at least a fairly high level of correlation. HRV is supposed to increase during the night due to takeover of the parasympathetic nervous system, and higher during deep sleep. A recent example of my 1 week, all day “HRV,” and one during sleep is shown below. As you can see, the N of 1 data are inconsistent for the same days from different sensors (Oura, AppleWatch, Fitbit Air, and Eight Sleep) by patterns, absolute numbers, and comparison with prior days and weeks. The largest study in over 8 million Fitbit users (the old version, not Google Fitbit Air, introduced in May 2026) gives you a sense of the effect of age, sex, and the 2 different main HRV (here PRV) metrics, with RMSSD on the left and SDRR (=SDNN) on the right below. That study, from data collected in 2018, is a major outlier, since all the more recent ones are tiny with respect to sample size. Many of the companies have not had independent evaluation of their HRV, such as Eight Sleep, but have published a low standard error on their website. There are some other published studies on the correlation between HRV and PRV, but they are all small and only in healthy adults. A scoping review emphasized the lack of study in underrepresented individuals, including the aged, people of color (which affects the PPG signal), and individuals who are underweight or obese. Add the typical adult age 60 plus with one or more chronic diseases. For example, one study in over 900 adults found poor correlation of HRV and PRV, non-uniformly underestimated across many chronic diseases (cardiovascular, endocrine, neurological, respiratory, and others), concluding PRV is “an invalid surrogate for HRV.” A recent systematic review of 43 studies comparing HRV and PRV found reasonable pooled absolute standardized error (HRV as gold standard) but only 10 of the studies provided quantitative synthesis in ideal conditions. Their main conclusion was similarly cautious: “PPG-derived HRV [PRV] should not be regarded as universally interchangeable with ECG-derived HRV across all devices, populations, and recording contexts.” Factors Affecting HRV and PRV That gets me to the long list of factors that affect HRV (and PRV) besides the device, the type of measurement (RMSSD, SDNN or others), the person’s signal, the sensor site, the duration of data capture, if weighting by sleep stage is used, how artifact is processed and corrected. And this list is not complete!: Oura puts out data from their community of users (who input data) on what affects their overnight HRV. The factors currently provided are: no alcohol (increase 8%), melatonin (increase 2%, float tank (increase 2%), wine (decrease 4%), and party (decrease 14%) in overnight HRV. Must be some big parties! Subscribe What is a PRV measurement good for? It has been falsely characterized as an index of “autonomic balance” and a specific indicator of stress. A 2018 review of the studies available for HRV and its relationship to stress, not using any of the current wearables, found that stress can lower HRV. But so can many other factors. The non-specificity of the signal, indexed to the table above, is striking. Evidence from a UK Biobank study of over 46,000 participants with actual HRV looked at genetically predicted HRV, a genetic risk score, that failed to show the expected HRV-mortality link, indicating that _HRV is likely not causa_l, but rather a reflection of person’s physiologic state. A review of consumer wearable HRV data from 5 longitudinal studies showed that nighttime PRV was not associated with perceived stress, and surprisingly higher HRV, in the largest cohort (N=717 participants), was correlated with higher stress. An Oura ring cohort of 525 first-year college students found a link between overnight PRV and perceived stress, but that was also seen with resting heart rate, sleep, and respiratory rate. Several very small studies have examined the relationship of HRV and athletic injuries or guiding training with mixed, and predominantly negative results. HRV biofeedback training with paced breathing had no significant effect on reducing stress or raising HRV, as demonstrated with sham controlled trials. When HRV for multiple days showed a decline in conjunction with body temperature, the Oura ring published data for prediction of Covid. The WHOOP company sponsored an observational study, published in 2026, of 30,000 users for 72 weeks, without a control group, that reported reduced alcohol intake (5.8 % points) by self-report. That doesn’t tell us much, and particularly about the merits of HRV for behavioral change. If you use the same device and conditions as longitudinal trends for multiple (at least 2-3) weeks that may be the one way to get something useful from the measurements. Data for overnight sleep with minimal motion and using RMSSD is the best proxy for real HRV. The reason to look at trends rather than any given night is that it more likely represents something, even though you won’t know with certainty what the “it” is. Keep in mind there are no data, no peer-reviewed evidence, to show that HRV fluctuation in-person has any correlation with health outcomes. Share Readiness Scores These are proprietary scores that integrate different metrics for each of the wearables: no algorithms have been disclosed. They are unvalidated against health outcomes. In a review of 14 composite health scores of readiness and recovery, HRV contributed 86% to the scores, followed by reading heart rate (79%), physical activity and sleep duration (both at 71%). That review noted the substantial variability in measurement protools and lack of standardization. Sleep staging is notoriously inconsistent and inaccurate by these sensors, which adds further to the HRV uncertainties for what the scores, which use sleep stage data, mean. Only resting heart rate has been shown consistently across devices to be extremely accurate. I’ve made a Table to summarize what we know about which metrics are included, the scores, any peer-reviewed studies that compared the readiness score with health outcomes, and the corresponding (if any, NA-not available) citation. You will note that some companies do not use the term “readiness," such as WHOOP for recovery, and Garmin, which has 2 different scores, one of which is Body Battery. Eight Sleep uses the term “Fitness Score.” They all include HRV; Apple includes a new metric they call “Recovery HRV” which among other components uses 7-days of sleep, but it is unclear what this means or how it is differentiated from other scores (there are clearly no data for outcomes). We have no knowledge of how the different components are weighted or whether any of these scores are better than resting heart rate, HRV alone, physical activity, or any other single metric. Since none of these are standardized, they are not interchangeable, so if you get a 90 for Oura that has no relationship to a 90 on a Google Fitbit Air. Notably, the company can update its algorithm for readiness score at any point without notification to device users. Without any useful evidence of actionability for these scores or established relationship with health outcomes, it is hard to make a case for their value. At the Apple recent announcement they showed their Readiness score (0-10) on the watch (Figure below) but there are no published data on this score, not even on their website. It’s available only on their new Watch Series 12 or Ultra 4 [of course, ;-)]. That exemplifies the problems with these scores, lack of data and evidence for being meaningful to promote health. Perhaps the best study (which isn’t saying much) is the WHOOP Recovery for golfer performance, because it did correlate with an objective outcome, even though there was no control group and the authors were all from the company. Among the 389 pro golfers, an absolute 10-per cent point increase in Recovery score was associated with about 0.5 fewer strokes per round. But that’s hardly a health outcome! WHOOP is also conducting a study in over 2,700 runners to see if their recovery score will be linked to less injuries and improved performance, but that is not yet published and has no control group or randomization. Putting This in Context For two decades I’ve been enthusiastic about the potential for digital health and particularly wearable biosensors. Over the years, we’ve seen some great progress for their ability to promote physical activity and accurately detect atrial fibrillation (the first FDA cleared deep learning AI for consumers). That work was the subject of rigorous research. But there are holes in the data and evidence for other metrics. One notable one is the “VO2 max” story that I wrote about earlier this year. At that time many subscribers asked me to cover heart rate variability, which I finally got to here. When I dived into the research and publication for HRV and readiness scores, I expected to find at least some that were of high quality and demonstrated their utility by linkage to health outcomes. To my surprise, I found none. The wearable sensor measurements for HRV (PRV) are, for the most part, accurate, but that validation work has only been done in small studies of healthy adults and does not take into account the long list of factors, from the device, software side, and the user side, that affect HRV measurements. Moreover, this metric chiefly relies on optical sensing and, as we have learned for heart rate PPG sensing, may be less accurate in people of color. Keep in mind that all of the health outcome association evidence comes from ECG-derived HRV; none are from wearable sensor data. I will repeat the key point: there's no peer-reviewed evidence to show that in-person HRV fluctuation—or efforts to raise your HRV— has any correlation with health outcomes. For those of you who look at your HRV on awakening, or even 2+ week trends of it being low, I hope this context helps to relieve any anxiety. Yes, low HRV (not PRV) has been shown to increase risk of some diseases as summarized above. But efforts to raise your HRV—a surrogate metric— has not been established for improving any health outcomes. HRV does not have any evidence of causality (the genetic evidence actually goes against this possibility). In this summary, I have not included data for other wearable sensors such as Polar, Samsung, Withings, Suunto, Amazfit, Coros, Ultrahuman, or additional mattress sensors. These are beyond my first-hand experience, and as far as I know from my in-depth review none have any peer-reviewed published data that differ from the 6 sensors I’ve reviewed here. From the points I’ve gone over above, we’re not ready for readiness scores. Besides being proprietary, they are predominantly based on metrics that have their own issues. It’s compounding the problem, like building a house without a solid foundation that has never undergone a rigorous inspection, and then selling it. Like I mentioned for PRV, you can look at trends over weeks rather than any single day, to get a handle, but even that may not be helpful. There’s simply no evidence that these scores meaningfully relate to health outcomes. I’d emphasize they might, but that requires doing prospective or randomized studies to prove it. None exist. There’s great promise for HRV/PRV utility_. For example**,**_ Prof Maiken Nedergaard, who discovered the brain glymphatics that are essential in eliminating metabolic waste products from the brain during sleep, has posited that HRV could be a non-invasive marker for neuromodulator oscillations, brain-body regulatory circuits, and brain clearance. That would be extremely useful, but like everything else on HRV and readiness scores it requires solid research and validation. The lay media isn’t helping much to get the story straight. Earlier this year The Economist published a piece entitled “The most useful indicator of your overall health” which ordained HRV as an “accumulated stress score.” That’s akin to the false assertion about VO2max: “V02 max is the singular most powerful marker for longevity.” As I’ve summarized here, that is not established. The fact is that so many things can lower HRV, including physical exercise (especially an intense workout), reduced sleep quality, stress, the list above, no less the device, signal, and software. Whatever fluctuations observed have not been correlated with any health outcome. Sadly, “datamaxxers” are widely using HRV and readiness scores that have never been validated to mean anything. We already know that for some people using the sensors for sleep metrics, it can induce “orthosomnia,” an obsession to get high sleep quality, with associated high levels of anxiety. In an experiment done by a company to promote sleep quality for its employees, “For those employees who did use the trackers, many reported feeling perfectly rested until their tracker told them they had had a terrible night. Others were told that they had slept like a baby when they had actually been lying awake worrying about the quality of their sleep. “ The same problem can result from preoccupation with HRV or readiness scores, with anxiety that would lead to further reduction in both. It you are using a wearable like >100 million American adults, it’s OK to look at these data, but contextualized with the major caveats reviewed here. If you are one to require evidence that HRV or readiness scores are linked to health outcomes, you may not even want to look. The companies make it hard to turn them off! Let me end with the companies that make and sell wearables. Apple’s doubling down on HRV (24-fold more reporting and heart rate very 5 seconds) and introduction of a Readiness score tells us that consumers have bought into these metrics and they are joining the club. However, all of this is occurring with a backdrop of tens millions of users, claims about the data that are not backed up by adequate evidence, marketing way out in front of whatever limited data exists, and not being transparent about their readiness score algorithms. The companies can well afford to do the research that is needed to connect these metrics with health outcomes show, once and for all, that increasing HRV or using readiness scores promotes our health. If they believed and invested in the products they are selling, we’d not be in this position of not knowing. That’s essentially where we are with HRV and readiness scores. Perhaps someday this will change and we’ll have good reason to embrace them. NB: I wrote this post. No AI. I have no conflicts of interest with any of its content. Loading... Ground Truths has 215,000 subscribers from every US state and 214 countries. There are over 300,000 followers of Ground Truths so more than 90,000 folks who can easily convert to be free subscribers. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you’re not a subscriber, please join! If you found this interesting PLEASE share it! Share Ground Truths The proceeds from all voluntary paid subscriptions go to support our summer internship program. It enabled us to accept and support a record number of 62 summer interns that joined us in 2026! These are high school, college and medical students selected from thousands of applicants. We couldn’t do this expanded program without the funds coming in through Ground Truths. Thank you!

Sep 19 • 10:05 AM EDT • Technology • erictopol.substack.com

Derek Hough Details Daughter's 1st Visit to 'DWTS' Ballroom: 'Extraordinary'

Derek Hough may have won six Dancing With the Stars trophies, but the experience pales in comparison to becoming a dad.

Sep 19 • 9:01 AM EDT • Entertainment • heraldsun.com

Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading

Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.

Sep 18 • 10:35 AM EDT • Technology • newsletter.semianalysis.com

Paramount Business Jets gains two industry safety certificates

Paramount Business Jets has attained certified broker status from both the ARGUS and Wyvern safety audit programs

Sep 18 • 12:27 AM EDT • Business • privatejetcardcomparisons.com

Who has the edge between the Patriots and Steelers?

A head-to-head comparison between the Patriots and Steelers ahead of their Sunday meeting.

Sep 17 • 11:44 AM EDT • Sports • sports.yahoo.com

Big Ten Preview: Week 3

FRIDAY NIGHT Portland State (0-3) at Oregon (1-1), 10:30 p.m. on BTN Details: The 2025 Penn State comparisons are fully in effect for the Ducks. They were a playoff team and returned a lot, highlighted by Dante Moore deciding to return at quarterback. Well, the Ducks, picked by plenty of pundits to win the conference […]

Sep 17 • 11:02 AM EDT • Sports • sports.yahoo.com

Trump taking notes from India? US$5,000 cash pitch draws ‘freebie’ comparisons

Indian politicians and commentators accuse the US president of mimicking South Asia’s election playbook to woo voters ahead of the midterms.

Sep 16 • 8:00 AM EDT • Politics • scmp.com

‘Even KP couldn’t come close’: Ben Stokes makes huge Harry Brook-Kevin Pietersen comparison

Harry Brook scored an unbeaten 114 off 49 balls against Sri Lanka. Ben Stokes lauded Brook's talent, comparing him favorably to Kevin Pietersen. Brook's recent move to number three has yielded significant T20I success. He joined Jos Buttler as the second Englishman with centuries in all formats. England secured a dominant 119-run victory in the first T20I.

Sep 16 • 5:14 AM EDT • Sports • sports.yahoo.com

Which Nvidia GPU Is Equivalent To The Meta Quest 3?

The Meta Quest 3 utilizes the Snapdragon XR2 Gen 2, which can rival an Nvidia GTX 960, but a one-to-one comparison doesn't paint the whole picture.

Sep 15 • 5:47 PM EDT • Technology • bgr.com

Bayer Leverkusen and BVB Are Interested in Barcelona’s ‘New Lahm’

German giants are scouting Xavi Espart, a versatile 19-year-old talent whose tactical intelligence and defensive flexibility at Barcelona have drawn comparisons to a legendary World Cup winner.

Sep 15 • 10:06 AM EDT • Sports • sports.yahoo.com

Please Stop Conflating Sports Betting Handle With Spending On Entertainment

Editor’s note: The Cashout for paid subscribers will publish on Tuesday. Every September there’s a huge uptick in how much people bet on sports with the start of football season. Which means it’s time to get ahead of a ridiculous narrative before it picks up steam on social media or in mainstream media. Subscribe Every few months I see some version of this: [ Charlie Bilello@charliebilello Americans bet over $165 billion on sports last year, which is more than they spent on movies, books, concerts and sports tickets - combined. 1:00 PM · Jun 28, 2026 · 4.1M Views 258 Replies · 674 Reposts · 4.23K Likes ](https://x.com/charliebilello/status/2071217050328895935?s=20) Fortune published this in July. The headline and start of the story tell the same narrative (emphasis added): Gambling becomes America’s favorite pastime as Americans spend more on sports bets than movies, arts, museums, and music combined: The North American box office totaled $8.87 billion in 2025, which is still 22% below pre-pandemic levels. Recorded music revenue hit a record $11.5 billion. Live music like concerts and festivals brought in $18.51 billion. Meanwhile, book publishers tracked by the Association of American Publishers reported $14.6 billion for the year. And the U.S. museum industry generated an estimated $16.4 billion. Add it up and the total comes to roughly $70 billion, which is less than half what Americans wagered on sports. The story, to its credit, goes on to tell us why sports betting is entirely different, although people who only read headlines will miss that nuance. (The tweet above definitely skips over the nuance.) I will mostly be preaching to the choir here, but it’s worth saying out loud: Wagering money on sports is not the same thing as spending on entertainment from a financial perspective. When you spend money on a movie or concert ticket, that money is gone. You exchanged money for an experience. It’s a good trade! I get to have fun for “x” dollars. (Unless the movie sucks, I guess.) When you bet money on sports, the money is not necessarily gone every time you wager it. It could be gone, but sometimes it’s not and you actually get more money back! That’s not “spending” money or something you should try to compare directly to entertainment spend. A far better comp would be how much people lose at sports betting. That number was more like $17 billion in the US last year, at least for state-regulated sportsbooks. Why are we trying to equate handle and entertainment spending? I dunno. It makes for splashy headlines, I guess. Now, people should be betting for entertainment, and not because they expect to win in the long term; no doubt about it. Anyway, here’s hoping I don’t see people saying Americans “spent” hundreds of millions of dollars on sports betting this fall. Mindway AI and DraftKings Expand Responsible Gaming Drive with Launch of Gamalyze American Football In time for the NFL kickoff, Mindway AI has expanded its partnership with DraftKings to launch Gamalyze American Football the second title in the neuroscience-based Gamalyze Sports collection. Following the success of Gamalyze Football (soccer) during the FIFA World Cup, this gridiron-themed update replaces static questionnaires with immersive, stadium-inspired gameplay. Backed by 10+ years of Aarhus University research, Gamalyze evaluates real-time decision-making to deliver instant, unbiased player risk assessments. Integrated into DraftKings’ platform and nationwide activations, it engages fans when excitement peaks. Ready to upgrade your player protection? Contact Mindway AI to try Gamalyze Sports today. Gambling news roundup 🚨The important stuff 1st NFL Sunday of Season ‘Champagne-Popping Day for Bettors’ (Covers): “The first NFL Sunday of the season was a champagne-popping day for bettors, while the book was left cleaning up the corks,” Caesars’ head of football Joey Feazel said prior to the Sunday night game. “Caesars Sportsbook reported that Detroit’s Jahmyr Gibbs, Baltimore’s Derrick Henry, Indianapolis’ Jonathan Taylor, and Atlanta’s Bijan Robinson were among the top five most-bet players to reach the end zone, and all of them cashed tickets.” [ Ben Fawkes@BFawkes22 A @CaesarsSports oddsmaker on how Week 1 has gone so far: “The first NFL Sunday of the season was a champagne-popping day for bettors, while the book was left cleaning up the corks.” ➡️8 of 10 most popular anytime TD scorers cashed 1:31 AM · Sep 14, 2026 · 276K Views 16 Replies · 16 Reposts · 615 Likes ](https://x.com/BFawkes22/status/2099310001927995849?s=20) 🔍 Are we already getting a “customer-friendly results” narrative in Week 1? NFL Commissioner Roger Goodell spoke with CNBC about the prediction markets industry: “We think that there needs to be stronger regulations into the predictive markets,” Goodell said. “We want to see that to protect the integrity of our game. We want to make sure we’re protecting the consumers that are on those platforms for the NFL. So, we’re continuing to have conversations with them and talk to them about the things that we think they need to do to strengthen that so that they could be potential partners at some point in the future.” More on the NFL + PMs: [ Straight to the Point Quid Pro Quo The NFL has asked Kalshi and other prediction markets to remove certain easy to manipulate markets. Does a potential partnership hang in the balance… Read more 6 hours ago · 19 likes · Steve Ruddock ](https://straighttothepoint.substack.com/p/quid-pro-quo?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=1472492) Kalshi was on my podcast?: Kalshi was on my podcast [ The Event Horizon Episode 32: Talking Prediction Market Enforcement With Kalshi’s Robert DeNault Kalshi? On my podcast? Yep… Listen now 5 hours ago · 6 likes · 1 comment · Dustin Gouker ](https://nexteventhorizon.substack.com/p/episode-32-talking-prediction-market-enforcement-kalshi?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=1472492) DraftKings Enhances Responsible Engagement Efforts With New Customer Initiatives, Tools and Education (press release): DraftKings Inc. today announced a series of new initiatives designed to promote responsible engagement and increase awareness and use of the tools and resources to help customers make informed decisions and engage responsibly. The efforts include a new digital advertising campaign featuring Kevin Hart and Nick Jonas that promotes responsible engagement, a PGA TOUR sweepstakes that promotes customer engagement with responsible engagement features, the launch of Gamalyze American Football in collaboration with Mindway AI, and new custom cool-off options that give customers enhanced flexibility when choosing a cool-off period. The initiatives build on DraftKings’ commitment to making responsible engagement an integral part of the customer experience and providing players with accessible tools and resources that help them make informed choices about their gaming experience. “At DraftKings, responsible engagement is embedded in how we operate and is essential to building trust with our customers and our long-term sustainability,” said Lori Kalani, Chief Responsible Gaming Officer at DraftKings. “We’ve continued to invest in tools and resources that give customers enhanced access to information about their play and more choices for managing how they engage. From My Budget Builder and My Stat Sheet to player-set limits and new custom cool-offs, we’re continuing to evolve our approach while promoting awareness and use of the tools and resources available to help customers play responsibly.” … DraftKings is launching a new digital advertising campaign featuring Kevin Hart and Nick Jonas that continues the pair’s road trip and promotes responsible engagement and awareness of the tools and resources available to help customers make informed choices about their gaming experience and engage responsibly. The campaign was initially launched on Sep. 10th and will reach customers through digital channels, bringing responsible engagement messaging to fans in an engaging way. bet365 Launches “The Matchup,” a New Weekly Video Podcast Hosted by Super Bowl Champions Chris Harris Jr. and Emmanuel Sanders (press release): "bet365, a global leader in online sports betting and gaming, today announced the launch of “The Matchup,” a new weekly video podcast hosted by former Super Bowl Champions Chris Harris Jr. and Emmanuel Sanders. Featuring current and former NFL players, the original series marks a significant, intentional investment in football as bet365 works to become a go-to destination for U.S. bettors throughout the season. “The Matchup” premieres September 10, with new episodes released weekly in both video and audio formats. Full episodes will be available on YouTube, Apple Podcasts, Spotify and wherever podcasts are available, with clips and additional content rolling out across YouTube, X, Instagram, Facebook, Threads, and TikTok. The show is being produced by Last Row Digital Media. Each week, Harris and Sanders will be joined by guests from across the game to break down the biggest NFL matchups, unpack the latest league news and share perspectives that go beyond the box score. By bringing together two former players with distinct perspectives and firsthand experience, “The Matchup” will give audiences timely context and a deeper understanding of the teams, players and storylines shaping the week ahead. “Every great football conversation starts with a matchup—who has the edge, what everyone is overlooking and what could change the game,” said Chris Harris Jr. “Emmanuel and I have experienced the game from different perspectives, and we want the audience to feel like they are part of the conversation and leave every episode knowing more about the week ahead.” Today’s iGaming companies face new litigation threats as expansive consumer protection statutes spark lawsuits with sky’s-the-limit aspirations, sometimes backed by private funders. Clients of Ifrah Law have a staunch defender in Robert Ward – an agile litigator and case tactician who responds to the changing state of play with creative legal defenses and efficient case-closing strategies. Robert draws on federal clerkship experience and appellate defense work to advise iGaming clients on litigation exposure, white-collar risk, and regulatory defense across multiple jurisdictions. Read More: Robert Ward on Helping iGaming Clients Outmaneuver Lawsuit-Obsessed Adversaries 🔮 Prediction markets Update on legal action in Connecticut: [ Daniel Wallach@WALLACHLEGAL Connecticut says gaming service license holders which received subpoenas over sports prediction markets “are not under investigation” by the @CTDCP but may possess information that could assist the state “in evaluating the conduct of prediction market platforms.” 2:31 PM · Sep 13, 2026 · 844 Views 5 Likes ](https://x.com/WALLACHLEGAL/status/2099143914271670576?s=20) American Gaming Association Opposes CFTC Bid to Block New York Prediction-Market Enforcement (DeFi Rate): “The brief points to the Ninth Circuit’s Aug. 28 decision in KalshiEX LLC v. Assad, which the AGA says supports New York’s authority to regulate sports contracts as gambling. It also cites Kalshi advertising, product comparisons and reporting on Kalshi’s sports volume to argue that the economic product resembles a sportsbook wager more than a conventional financial hedge.” [ Daniel Wallach@WALLACHLEGAL AGA intervenes in CFTC v. NY case to oppose CFTC request for preliminary injunction, says the CFTC’s arguments “obfuscate a simple truth: prediction markets offer sports betting.” Highlights CA9 decision, @DustinGouker (6x), and $1.32 billion in OSB taxes for NY (0 from PMs). Daniel Wallach @WALLACHLEGAL High stakes hearing on Monday in CFTC v. New York State. If SDNY judge Lorna Schofield denies the CFTC’s motion for preliminary injunction, the New York AG would have a clearer path for securing a state court geofencing order against Kalshi, Coinbase, and Gemini Titan. 2:08 AM · Sep 13, 2026 · 4.78K Views 1 Reply · 2 Reposts · 8 Likes ](https://x.com/WALLACHLEGAL/status/2098957043474280584?s=20) Gaming Commission remains member of gambling council after questions raised over ties to Kalshi (Mass Live): “The Massachusetts Gaming Commission will not follow the leads of gaming regulators in Ohio and Michigan and drop ties with the National Council on Problem Gambling over its new association with Kalshi.” Sponsor’s messageTrusted Voices: Conversations About Betting is designed to equip adults, including parents and coaches, with tools and resources to talk to young people about gambling, including information on warning signs, risks and proxy betting. The program is led by retired professional basketball player Randy Livingston and his wife, basketball agent Anita Smith, who share their personal stories related to problem gambling, with the hope of preventing others from experiencing similar harms. Learn more and join the conversation here. 📣 Industry news Gaming M&A: Latest Mergers, Acquisitions and Deals (SBC Americas): “But what else is happening in the world of gaming mergers, acquisitions, investments, and partnerships? Here, we round up some of the news you might have missed.” BetMGM Named Official Sports Betting and Online Casino Partner of the Minnesota Vikings in Canada (press release): BetMGM, a leading iGaming and sports betting operator, announced a multi-year partnership with the Minnesota Vikings, naming it the Official Sports Betting Partner and Online Casino Partner of the team in Canada. The agreement gives BetMGM rights to use Vikings marks across approved sports betting, online casino and marketing activities in Canada. In addition, Vikings Big Kick LuckyTap™, a casino game by Design Works Gaming, is available now exclusively at BetMGM Casino in Alberta and Ontario. “Vikings fans bring a level of passion and loyalty that extends well beyond game day,” said Matt Prevost, Chief Revenue Officer at BetMGM. “As the home of one of the largest collections of sports-themed casino content in North America, BetMGM is uniquely positioned to combine sports fandom with iGaming. We are eager to start football season off strong with another fantastic partnership especially as we expand our reach in Canada to Alberta.” Martin Nance, Minnesota Vikings Chief Marketing Officer, said, “As we continue to deepen our connection with Vikings fans across Canada, we’re proud to welcome BetMGM as the team’s official sports betting and online casino partner in Canada. Their commitment to innovation and fan engagement aligns well with our organization, and we’re excited to create memorable experiences that celebrate Vikings football and connect with Canadian fans in new and meaningful ways.” Caesars Entertainment Launches Ball Rush Jackpots™ in New Jersey,the Latest Proprietary Online Title from Empire Creative™ (press release): Caesars Entertainment, Inc. (NASDAQ: CZR) (“Caesars”) today announced the launch of Ball Rush Jackpots™, a new ball-and-peg style online casino game developed by Empire Creative™, the Company’s in-house game development studio. Now live in New Jersey across Caesars Palace Online Casino, Caesars Sportsbook & Casino and Horseshoe Online Casino, Ball Rush Jackpots is expected to become available in additional jurisdictions where Caesars offers online casino gaming following regulatory approval. The title expands Caesars’ growing portfolio of proprietary online casino titles, following the successful launch of Ca$hline™ earlier this year and further diversifying the Company’s lineup beyond traditional slots and table games. Ball Rush Jackpots follows the traditional ball-drop gameplay experience where players drop a ball down a board filled with pegs to land in a prize slot. As balls navigate independently through a field of pegs, every drop creates new opportunities to collect feature symbols, unlock bonuses and pursue jackpots, delivering a different experience with every round. “Ball Rush Jackpots delivers a different kind of casino experience for our players, combining easy-to-understand gameplay with meaningful customization, exciting bonus opportunities and jackpot potential,” said Matthew Sunderland, Senior Vice President and Chief iGaming Officer at Caesars Digital. “As we continue expanding our proprietary content portfolio, we’re focused on creating games that are simple to pick up, rewarding to revisit and designed around the features players enjoy most.” Bally’s Corporation Secures New Financing to Support the Development of the Bally’s Bronx Project (press release): Bally’s Corporation (NYSE: BALY) (“Bally’s” or the “Company”) announced today that it secured new financing led by WhiteHawk Capital Partners, LP to fund further development of the Bally’s Bronx project and general corporate purposes. The new financing comprises closing date term loan commitments in an aggregate principal amount of $400 million and delayed draw term loan commitments in an aggregate principal amount of $160 million (together, the “Facilities”). … Bally’s Chairman of the Board, Soo Kim, commented, “This important financing allows us to progress the pre-construction planning process so that we are ready to complete the remainder of the capital raise and remain on schedule. Furthermore, the additional liquidity provides us greater flexibility for other capital opportunities.” WORLD JAI ALAI LEAGUE LAUNCHES CENTENNIAL SEASON AND ENTERS NEXT CHAPTER IN MIAMI (press release): The World Jai Alai League will open its 2026 fall season on Tuesday, September 15 at Miami’s JAM Arena, beginning a milestone season that marks 100 years since professional Jai Alai first arrived in Miami. Season X, the tenth season of the Battle Court team-based competition launched in 2022, will also be the first since entrepreneur and sports asset investor Rob Gough acquired the World Jai Alai League in August 2026. The acquisition marks the beginning of a new chapter for the league. World Jai Alai League will maintain the existing Battle Court competition and operating format, with Chief Operating Officer Scott Savin overseeing Season X. Gough and his team will use the coming months to listen to players and fans, evaluate opportunities across the league, and execute plans for a broader evolution of Jai Alai’s presentation, live experience, media, marketing and commercial strategy beginning in 2027. “This is a really unique moment for Jai Alai,” said Rob Gough, Owner of the World Jai Alai League. “We have a sport with more than 100 years of history in Miami, extraordinary athletes and incredible speed, but I also believe there is enormous untapped potential.” bet365 reveals most popular online slots in 3 US states in August (SBC Americas): “In its monthly Gaming Insights and Performance report, growing online casino operator bet365 tracks player trends and game performance in online slots across its North American online casino markets.” The Closing Line is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe

Sep 14 • 2:45 PM EDT • Entertainment • closingline.substack.com

I did fall decoration shopping at Michaels and Hobby Lobby: Comparison

I compared shopping for fall decorations at Michaels and Hobby Lobby to find the better chain. One was best for Halloween, the other for Thanksgiving.

Sep 14 • 12:11 PM EDT • Business • businessinsider.com

APS Recognizes 11 Psychological Scientists With 2027 Lifetime Achievement Awards

The 2027 recipients have advanced research in sleep disorders, cross-cultural comparisons of parenting, emotional regulation, and many other topics.

Sep 14 • 10:59 AM EDT • Science • psychologicalscience.org

Which Nvidia GPU Is Equivalent To The Xbox Series S?

The 1650 SUPER from Nvidia's now discontinued GTX graphics card line comes closest to the GPU inside the Xbox Series S in terms of direct comparison.

Sep 14 • 8:47 AM EDT • Technology • bgr.com

Charles Barkley's Bold Lakers Prediction Is A Massive Stretch

Charles Barkley believes the new-look Los Angeles Lakers could be as good as-or better than-the 2024 Dallas Mavericks team that reached the NBA Finals. The comparison is intriguing after Los Angeles reshaped its roster around Luka Doncic and Austin Reaves. The Mavericks, however, had something the Lakers do not yet have: postseason proof. Barkley predicted […] The post Charles Barkley's Bold Lakers Prediction Is A Massive Stretch appeared first on Stadium Rant.

Sep 13 • 10:47 PM EDT • Sports • sports.yahoo.com

GTA 6 Reviews Plague Real-Life Nudist Resort After Fans Draw Comparisons to Leaks

GTA 6 fans believe its nudist resort was inspired by a real-life location, and its owners are already being bombarded with problematic reviews.

Sep 11 • 7:04 PM EDT • Technology • ign.com

The iPhone Duo enters China’s crowded foldable market — and faces a price test

Chinese netizens focused on the price of Apple’s iPhone Duo, as cheaper Xiaomi and Huawei foldables raise value comparisons and muddle the foldable's reception.

Sep 10 • 8:19 PM EDT • Technology • cnbc.com

Can Kimberly-Clark's North America Business Accelerate in Second Half?

KMB's North America business faces near-term shipment pressure, but innovation, share gains and easier comparisons support a stronger second half.

Sep 10 • 12:47 PM EDT • Business • finance.yahoo.com

Draymond Green's Klay Thompson Defense Reveals Miami Heat's Promising Plan

Draymond Green's defense of Klay Thompson offers a useful blueprint for Miami Heat expectations. Thompson's role should center on shooting gravity, off-ball movement, and complementary offense-not recreating his 2017 Golden State Warriors production. Green's Ray Allen comparison reinforces that approach after Thompson's move to Miami. What Did Draymond Green Say About Klay Thompson and the […] The post Draymond Green's Klay Thompson Defense Reveals Miami Heat's Promising Plan appeared first on S

Sep 9 • 1:08 AM EDT • Sports • sports.yahoo.com

Notre Dame Fighting Irish vs Rice Owls: Recruiting Comparison

Marcus Freeman’s squad boasts a massive talent advantage on paper. Discover how the Irish’s elite blue-chip prospects stack up against the Owls' developmental roster before kickoff.

Sep 8 • 8:00 AM EDT • Sports • sports.yahoo.com

X-Men Reboot’s Wild 4-Movie Comparison Includes Batman V Superman

A leaked script review for Marvel Studios’ X-Men reboot draws comparisons to four wildly different films. The surprising mashup description hints at the tone and style audiences can expect from the MC...

Sep 7 • 11:41 PM EDT • Entertainment • yahoo.com

Six years later, Sony revisits its legendary XM4 headphones

The Sony XM4C look just like the XM4 from 2020.

Sep 7 • 12:00 PM EDT • Technology • theverge.com

How to install Nvidia DLSS 5 on almost any RTX GPU in minutes

Your full guide to Nvidia's latest gaming upgrade.

Sep 6 • 9:30 AM EDT • Technology • makeuseof.com

15 discouraging hours with Onimusha: Way of the Sword, and 10 brilliant ones with He Who Watches

In the last few weeks, while playing some video games that I might review, I emailed two cries for help. I sent the first to a rep for Capcom, confessing that the company’s samurai game Onimusha Way of the Sword (out today for PC and console) was crushing me. “Feels like I’m playing ‘hard’ mode, not ‘normal,’” I wrote. “And I don’t want to have to knock it down to “story”. I’m exploring, trying to level my gear, but these two-phase boss fights with no mid-fight checkpoints are brutal.” I wagered I was only about halfway through the game, if that. I wasn’t sure I could keep up with the steepening difficulty curve. Was I missing something? Then, on Monday, I took some photos of some puzzles that were baffling me in the mind-bending He Who Watches (out now on PC), wrote out lengthy descriptions of how I’d been trying to solve them and asked Bobby Vanden, the game’s solo developer, for a nudge in the right direction. I told Vanden I’d spent hours on these puzzles. “I’m stuck in triplicate,” I told him. Could he tell me if the solutions I was attempting were even on the right track? I didn’t mention that the puzzles—coupled with major time pressures from other work—were stressing me out so much that playing the game was giving me headaches. This double dose of panic was unusual. I’m used to managing a workload full of reporting and reviewing, used to a crowded schedule and the need to stay calm amid the bustle. But I was stressed about these games. No one was forcing me to review them, nor even play them. I’d simply found them interesting enough to start, hoped they’d be interesting enough to write about and I’d sunk hours into them assuming I’d made the right call. Suddenly, however, I felt trapped. I was emailing for a way out. Above: This guy took me about an hour to beat. The feedback I got from Capcom confirmed my fears. They didn’t say it, but I will: Onimusha Way of the Sword is not for me. It’s a brutally hard game in need of a normal difficulty level. It’s a game that spikes so severely during its abundant boss fights—yet offers such flawed ways to improve when outside of them—that it feels like a bait-and-switch. In the new Onimusha, you play as famed samurai Musashi Miyamoto, aided by a magical soul-absorbing gauntlet that is possessed by a lady who offers advice. (Way of the Sword is a continuation of Capcom’s long-dormant Onimusha series, but that set-up had me wondering if the company was cribbing from their ill-fated Bionic Commando reboot; read about “wife-arm” when you get a chance). Way of the Sword is partially set in 17th century Kyoto, an explorable city where Miyamoto can fight demons, help civilians and eventually rescue ghostly dogs. The city evolves over time, with new mini adventures and obtainable loot on offer, all feeding into systems that promise to upgrade your gear and sword-fighting skills. Upgrades, however, are so incremental as to be imperceptible, causing the exploration of Kyoto to feel like inconsequential busywork. From that hub, players can go on linear missions into forests and old temples, where they will encounter many of the game’s tough bosses. Combat in Way of the Sword is akin to many modern melee games. Players are asked to mix attacks with dodges and parries. They’re encouraged to deplete an enemy’s stamina bar in order to do greater damage to its health bar. The old Onimusha games’ signature move was the issen, a counter-attack so sudden it’s all but pre-emptive. You strike just as they begin to strike toward you, beating them to the cut. By definition, the issen is a high risk move, leaving you wide open to pain. It feels risky in the game, especially against bosses, who can maul you in just a few blows. A game might train you to perform an issen well by offering a variety of lesser enemies who are not as tough as the boss but get close. Or it might offer a toehold against bosses by saving or checkpointing the player’s progress when a boss’ first health bar has been destroyed and before the second health bar appears. It might offer the less skilled player a chance to over-level their character, should the player simply commit to playing through its optional sidequests. Way of the Sword does none of this. Fighting its trivially easy grunt enemies and then its ferociously adept bosses is like playing a game of chess where I’ve got a rook, while the opposing side is all pawns and five queens. Bosses simply don’t checkpoint. You may be able to clear a boss’ first phase without taking much damage. Good for you. Do it again, every time you fail the second phase. As for the the central Kyoto hub, I kept pace with all of its added side activities and never felt like I was overpowered. Bosses could still easily buckle me. The new Onimusha, I concluded, is just too discouraging to keep playing. The advice I got from Capcom had been well-intentioned. They reminded me of the game’s various systems. They alerted me to an optional assist that flashes recommended button inputs (basically: counter this move; dodge that move). It was a little helpful. So was dropping down to “story mode,” which I tried last night. Story mode turns on those button prompts by default. It makes countering and dodging way too easy, nearly automatic. I don’t consider myself a master of action games like these, but I’ve cleared the likes of God of War, Stellar Blade, Star Wars Jedi and others of sub-Sekiro difficulty and had a fun time doing so. Not here. Not yet. Unless they patch Onimusha: Way of the Sword and add a middle difficulty or just checkpoint the damn bosses when they’re between health bars, my streak of loving Capcom games released in 2026 will likely end at two. It’s a shame, because I was having a good time finding those ghostly dogs. And then there’s He Who Watches, a phenomenal first person puzzle game with Portal vibes, except instead of a portal gun you’ve got a magical bow that shoots one arrow that can activate switches or be used to drag blocks. The twist is an actual twist: you can also walk on walls and the ceiling, reorienting gravity as you do, thereby placing blocks onto those other surfaces. Walking on walls and ceilings to solve problems is really the best thing. Would that I could in reality. He Who Watches consists of locked-room challenges, each brief enough to only require about a minute to actually solving, though it will take five, 10, eventually 30 minutes to figure out said solutions. They are not obvious! It’s a game of layered mechanics and shocking solutions. For example, see if you can follow this: You can drag a block to a wall. Then you can walk on the wall, which now feels like the floor, and drag that block across the wall. Later, back on the floor, you might realize you can look up. The block is still on the wall, stuck to it. You can shoot your magic arrow to its underside. Doing so creates a tether, so that you can yank the block off the wall and carry it, as if it were a balloon, into the spot where you need it to be to solve the puzzle. Here, watch Vanden explain some of the game’s basics in this launch trailer: As with any great puzzle game, the solutions to He Who Watches’ puzzles elicit relief and amazement. Oh my god, that worked! I didn’t even think that could be possible! Learning to solve the game’s puzzles feels like learning magic. But, oh, does the game get hard. Its Steam reviews, mostly glowing, are full of players remarking how quickly He Who Watches made them sweat. Wrote one: “loving this one already although my brain is hurting!” Wrote another: “As you get further in the game it feels like you need an IQ level of at least 120+.” Vanden has shown some mercy. Each locked room puzzle includes an optional junior version of the puzzle, meant to teach you. Difficulty nevertheless ramps severely. By the time I was emailing Vanden for help, I was struggling to even clear one of the hint puzzles. When I messaged him, my stress was exacerbated by strange things I’d found in the game’s various hubs: suspicious passageways, odd blocks and some intriguing locked doors. These were hints of secrets, I realized, yet I sensed I needed to play further into the game to understand them. I was stuck, but I wanted to see the rest. Vanden offered to give me the exact solutions, to solve those three puzzles for me, but first he gave four nudges. Three were for the specific puzzles, but his best hint was for all and ultimately proved to be a terrific life lesson: go back a bit, he suggested. Do the puzzles right before those. They were teaching you something. Focus on what their lesson was. Don’t rush, in other words. Recognize what you’ve accomplished. Build off of that. I did so. I absorbed the lessons. I saw those three tough puzzles in a new light. I solved one the night after he wrote back, another the morning after. I left a third for another time. I didn’t need it and I wanted to plunge deeper into the game, closer to the moment when I was sure I could start unlocking those secret doors. My head stopped hurting, too. He Who Watches feels special. It’s got more challenges, and I’m undeterred. It’s also nice that its puzzles don’t have a surprise second health bar. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: In brief… 🎮 Ilari Kuittinen, co-founder of Helsinki-based Housemarque (Super Stardust HD, Resogun, Returnal) has stepped down from his studio, after a 31-year run, saying he’s “ taking a rare and well-deserved breather.” Sony purchased Housemarque in 2021, and the studio released its newest game, Saros, earlier this year. Trend-watch: Sony-owned Insomniac saw its founder Ted Price retire in early 2025, after a 30-year run. Sony-owned Sucker Punch saw its co-founder Brian Fleming step down in late 2025, after a 28-year run. 👀 Savvy Games Group chief Brian Ward is stepping down from the Saudi-government-backed games conglomerate, Bloomberg reports. No word on a long-term successor yet, nor if this augurs any closer integration between Savvy and Electronic Arts. EA was purchased by a consortium led by Saudi’s sovereign wealth fund, in early August. 💿 Square Enix has denied a Japanese media report that the company was planning to go private. In very different Square Enix news, the company revealed that the physical version of Final Fantasy VII: Revelation, the April 2027 finale of its radical remakes of FFVII, will include just one disc in its case, requiring a download for the rest. The first two FFVII remakes in the trilogy shipped on two discs apiece. While Square hasn’t commented on the reason why, a feature here in Game File last month broke down the processes and costs for physical games. The expense of a second disc comes out of the game publisher’s cut of each copy. Square could be saving in excess of a dollar a copy with this move. 🟥 Grand Theft Auto IV’s 26-minute ’‘extended look” gameplay showcase that premiered on Netflix last week—and was exclusive to the platform for six hours—drew 31.1 million views in its first four days, the streamer announced. (Netflix calculates views as total viewed hours divided by runtime; excludes replays). Compared to YouTube: The version that later premiered on Rockstar Games’ YouTube channel is sitting at 22.6 million views after seven days (YouTube’s more liberal counting system tallies anyone who viewed even just the first few second.) Compared to other Netflix mega-events: Last year, Stranger Things season 5’s first four episodes, which debuted together, drew a record 59.6 million views in their first few days on Netflix. For more of a live event type of comparison, in 2024, the Jake Paul vs. Mike Tyson boxing match drew 65 million concurrent streams as it happened; Netflix didn’t release live numbers for the GTA premiere. ☁️ Microsoft is changing the way it charges for cloud gaming, from an all-you-can-play offer for Xbox Game Pass subscribers, to caps for the subscription’s tiers (15 hours per month at the Ultimate tier), with the option to buy more hours in bulk beyond that. The company also said it will sell batches of cloud gaming time to non-Game Pass subscribers, details TBA. Microsoft does not release figures for cloud game usage, but said its changes would impact 4% of Game Pass subscribers. That implies a small portion of its subscribers exceed the 15-hour monthly mark. Cloud gaming offers the promise of playing games without the need for console or PC hardware, as the graphics, sound and controls are all transmitted via a streaming connection. Microsoft notes that its cloud gaming service can be used for a range of things, including Xbox One players using it to play newer-gen Xbox Series games via streaming; and people playing games via streaming, sans any console, “in markets where consoles are less available or affordable.” (That latter use case could even be relevant in Xbox’s home market soon, as console prices keep rising.) Take Two Interactive chairman Strauss Zelnick recently told investors he expects game-streaming tech, which has been only lightly adopted by gamers for over a decade, to be widely used within three years. 🇺🇸 The Trump administration has published multiple agenda-driven web video games to the White House’s website. One called Build The Wall partially clones Tetris as it asks players to build a wall to stop a “zombie border siege.” While actual Tetris involves clearing lines and basically not building a wall, the Trump-backed game omits the line-clearing aspect (and omits the fun as well). On Instagram, Tetris’ official license holders reacted by stating: “At Tetris we believe in the power of connection and bringing people together, not dividing them. To our fans everywhere: we love you, we see you, and we’re grateful to have you in our community. P.S. The Tetris Company was not involved in the creation of ‘Build the Wall.’ P.P.S.: We take copyright infringement very seriously.” Item 3: The week ahead: Tuesday, September 8 Game releases: Mewgenics (consoles; already out on PC) is an engrossing tactical combat game (with cats). It is getting its console port right after the release of a Star Wars tactics game and ahead of the late September launch of a Fire Emblem–a bumper crop for the genre. Wanderburg (PC) is an auto-shooting game like Vampire Survivors, but you’re a castle on wheels Event: Nintendo airs a 30-minute Nintendo Direct (10am ET) focused on The Legend of Zelda’s 40th Anniversary. A full unveiling of the upcoming remake of The Legend of Zelda Ocarina of Time is expected. Will they also show footage from next year’s live action movie? Tease the next big 3D Zelda? Add Link to Mario Kart World? Shadow-drop a new Tingle game? Wednesday, September 9 Event: Nintendo again! On this day, they’re planning to air a 45-minute Nintendo Direct (10am ET) focused on games heading to Switch 2 this winter. Followed by about an hour of gameplay demoed by the company’s Treehouse team. The September Nintendo Directs are always some of the year’s biggest. The 2025 edition included announcements of several major 2026 Switch/Switch 2 games: Pokémon Pokopia, Mario Tennis Fever, Yoshi and the Mysterious Book, Fire Emblem Fortune’s Weave. Plus the return of the Virtual Boy. Friday, September 11 Game release: EA Sports NHL 27 (PlayStation, Xbox) is a hockey game. There are so few that an indie studio that had been making wacky sci-fi first-person shooters just announced that, hey, we’re going to fill a void and make a hockey game for PC.

Sep 4 • 6:23 PM EDT • Technology • gamefile.news

Exodus Narrative Director Explains Romance, Relationships, and Mass Effect Comparisons in New Sci-fi RPG

The upcoming space opera RPG Exodus has drawn a lot Mass Effect comparisons, and its narrative director worked on both. He explains their differences and more.

Sep 4 • 9:00 AM EDT • Technology • ign.com

Can Paolo Banchero Recapture LeBron James Comparison?

At Paolo Banchero's best, he shows flashes that are similar to LeBron James, but can he do it consistently?

Sep 3 • 6:00 PM EDT • Sports • sports.yahoo.com

Nets’ Brown Jr. Receives Praise From Fellow Louisville Alum

Donovan Mitchell draws comparisons to James Harden while hailing the rookie’s elite basketball IQ, signaling a new era of playmaking and defensive versatility for the Brooklyn backcourt.

Sep 3 • 4:30 PM EDT • Sports • sports.yahoo.com

August Monthly Review: ChatGPT In Epic

Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe

Sep 2 • 5:05 AM EDT • Health • healthapiguy.substack.com

49ers news: Brock Purdy finally addressed Drew Brees comparisons

The San Francisco 49ers quarterback, Brock Purdy, will be one of the key players in the offense when the team starts NFL regular-season action. He’s coming off an efficient but shortened last season and will be looking to bounce back. Entering his fifth career season, Purdy has been compared to Hall of Fame quarterback Drew Brees, who played for […] The post 49ers news: Brock Purdy finally addressed Drew Brees comparisons appeared first on ClutchPoints.

Sep 1 • 2:35 AM EDT • Sports • sports.yahoo.com

26 GTA 6 Screenshot Comparisons Showing How Much Things Have Changed Since Vice City

Let's compare Vice City on the PS2 with GTA 6 on the PS5

Aug 28 • 5:36 PM EDT • Technology • kotaku.com

Will Meta settlement reduce physical, mental health risks for young users?

Experts say many of its terms may help limit use, negative social comparisons, but regulation may still be necessary

Aug 28 • 4:25 PM EDT • Health • news.harvard.edu

Google didn’t kick Pixel 11 trade-in values off a cliff this year – here’s what you can get

While the US Google Store’s pre-order and launch period deals have ended, Google has started a new round of boosted trade-in values...

Aug 28 • 3:33 PM EDT • Technology • 9to5google.com

Pixel 11 Trade-in Values See Big Changes

If you didn't buy a Pixel 11 series phone before today, you missed out on the higher trade-in values that Google was offering through the Google Store. We're now a full week out from launch day...

Aug 28 • 12:59 PM EDT • Technology • droid-life.com

The Literacy Crisis Reaches Dog-Bear Science

“New analysis of more than 300 bear encounters suggests our canine companions often increase odds of conflict and rarely serve as early warning systems many recreationists assume,” reads a subhead in Mountain Journal. The thing is, that study reaches no such conclusion. But you have to read beyond the abstract to understand that. Mountain Journal is not alone. Let’s look at a brief list of takeaways published elsewhere just to establish that none of them seem to know how to read science. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Here’s CBC: “A new peer-reviewed study, The Canine Conundrum: Is a Dog a Help or Hindrance in Bear Country?, dug into conflicts similar to what the video depicts, by analyzing 326 reported human-bear conflicts from 1901 to 2023 involving dogs.” “The study found 54 per cent of conflicts were started by dogs. In the encounters researchers included in the study, five people and 56 dogs were killed, and 170 people were injured.” “Lana Ciarniello, an independent researcher who co-authored the study, said researchers found when a person goes hiking with at least one other person, the odds of a negative bear encounter decrease by 50 per cent.” “However, when a dog is involved, the chances of a negative bear encounter increase because ‘a dog really adds a chaotic factor into the mix of recreation,’ said Ciarniello.” Again, the study finds no data supporting that conclusion. “Hiking with your pet dog may make you feel safer in bear country—but a hiker’s recent encounter and a new study prove that the numbers don’t add up,” writes Backpacker, which is now part of Outside. The numbers don’t add up to support this take. There’s plenty more examples, but all are equally dumb, so I’ll stop there. How did so many people get this so wrong? Three reasons: 1) the study is published behind a paywall, with only the abstract freely available. 2) the methodology sets out to create work relevant to a hyper-specific audience, not the public. And 3) the dataset studied is almost absurdly limited and doesn’t bear (get it?!) comparison to wider information. Let’s work through all three. The Problem is Money I understand the irony, since I’m writing about this on a subscription-model newsletter, but information wants to be free. The study is published by The Wildlife Society and costs $16 to access. Reprinting it is specifically prohibited by the terms of use, so I can only share snippets and my conclusions with you here. Having worked as a journalist for 24 years, I can report with some authority that journalists are both lazy and cheap. I don’t think it’s a stretch to say that much of the material you’re seeing written about this study is drawn from the freely-available abstract (above) only, and not a deep dive into its methodology or data. And that’s a problem, because abstracts are where researchers are able to break from their numbers and editorialize their opinions about conclusions. So what’s getting reported isn’t based on numbers, it’s based on an opinion designed for a specific audience, not the general public. Hell yeah ladies, kick that bear’s ass. The Methodology is Designed to Support a Predetermined Conclusion One of the biggest issues with the science that everyone likes to cite about bear spray’s efficacy is that no one understands that study was designed for a specific audience, looking for a specific answer. And since that audience is not the public, and our safety was not the question being asked, its conclusion is rendered irrelevant to our needs. Yes, I’m talking about Efficacy of Bear Deterrent Spray in Alaska, which was created by Tom Smith and Stephen Herrero, two of the same scientists who put together this dog-bear conflict analysis. In the spray study, the purpose was to present relevant agencies with the information they needed to issue their field workers with bear spray. As such, incidents where people were unable to access the spray or similarly failed to get it deployed in time were excluded from the results, and only incidents they deemed successful were included. Could a ranger roll down their vehicle’s window and scare a bear away from a dumpster by spraying it? Turns out the answer was yes, and that was good enough for the purposes of that study. The sample size of actual bear attacks—the thing you and I would want bear spray to provide a solution to, was too small to draw conclusions from, and didn’t indicate success in that role. Is a Dog a Help or Hindrance in Bear Country? has similar limitations. “Insights provided here are intended to help wildlife managers create effective guidelines regarding the presence of domestic dogs in bear habitat,” is explained clearly by the study’s text. To conduct the study, Smith and Herrero went looking for publicly available reports of dog-bear conflicts: “All incidents included in our analysis involved at least one bear, one dog, and one person who was at immediate risk of injury (e.g., not in a protective structure such as a cabin or vehicle), injured, or killed,” explains the report’s methodology. Why is that a problem? “We recognize that data used in this study are biased in that people generally only report adverse interactions with bears, not benign ones. Consequently, we assume that for the most part, people and their dogs pass through bear country without incident.” As was the problem with the bear spray study, people are drawing conclusions here from a study that was never intended to be relevant to the general public. The Smith-Herrero database famously excludes Alaska’s Defense of Life and Property records, which are elsewhere considered the largest and most authoritative source on human-bear conflict. The Dataset is Absurdly Limited A 2009 study conducted by the Washington Department of Fish & Wildlife estimates that each year there are at least 43,000 documented complaints of human-bear conflict across North America. Is a Dog a Help or Hindrance in Bear Country? Examined those reports for years ranging from 1901 to 2023, and only managed to find 326 such incidents that met the criteria explained above. Let’s do some quick math, poorly. 43,000 incidents x 122 years = 5,246,000 total incidents of documented human-bear conflict. Smith and Herrero were only able to find 326 incidents that met their criteria for dog+human+bear+risk or occurrence of injury. That means there’s a 0.006 percent chance that the study’s conclusion—that dogs make bear encounters more dangerous—even gets a chance of occurring. And remember, that’s only in documented conflicts. There’s no way to know how many people across North America run into a bear in any given year without any conflict, but it’s probably safe to assume that the total number is well in excess of 43,000. And, dig deeper into the study and you can find further restrictions that skew its conclusions even more. “While the people involved in these incidents did not report the level of training their dogs had received, it is our assumption that most were untrained companion dogs as opposed to well-trained bear dogs, such as Karelians and livestock guardian breeds that have proven to be significant aids in bear country,” the study’s methodology explains. And that’s a problem, because an ongoing study here in Montana is finding that the simple presence of a Kangal like our youngest dog Teddy can reduce visits to private property from grizzly bears by 87.8 percent. In addition to being a badass, Teddy is also a companion animal. And in my admittedly limited sample size of the three dogs currently present in our living room, she’s no more effective than her mutt brothers. Plenty of people own a dog capable of deterring bears, even if they didn’t set out to own a bear dog. The real purpose of this study appears to be a recommendation that leashes are mandated and recreationists pursue training in their deterrent of choice. But that doesn’t make for sensational headlines. Are There Any Real Takeaways Here? Let’s throw some numbers around, just to try and get our hands around what the larger picture might look like for bears and dogs here. The American Veterinary Medical Association estimates that 42.6 percent of American households own a dog. The Canadian Animal Health Institute says roughly 35 percent of households in Canuckistan own a dog. In an attempt to create the worst possible result for dogs, let’s run with that 35 percent number. And given that outdoorsy and rural people are more likely to both own a dog, and have bear encounters, let’s just make a giant assumption and apply that number to those 43,000 conflicts documented annually. If 35 percent of 43,000 human-bear encounters involve a dog, then we can assume that at least 15,050 dog-bear conflicts are occurring annually in North America. 15,050 x 122 = 1,836,100. Smith and Herrero were only able to find 326 incidents that met their human, dog, chance or occurrence of injury criteria across 122 years. And only 170 documented human injuries. So, with all the obvious caveats about these numbers in no way describing reality beyond narrow study parameters, what they actually found is that your risk of injury if your dog tangles with a bear is only 0.009 percent. I’ll take those odds next time I’m hiking my dogs in bear country. Top photo: “Superintendent Horace Albright, eating pancakes with bears, at Lake Lodge, Yellowstone National Park.” NPS. A journalist with more than two decades of experience working around the world, Wes Siler is here to cut through the outrage and disinformation to bring you the factual, insightful, actionable reporting you need to understand what’s going on. Upgrading to a paid subscription supports this reporting, and buys personal access to Wes, who will help you save money on gear, plan outdoor adventures, and prepare for real life, and who promises he’s less salty in real life than he sometimes comes across as on the Internet. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe

Aug 27 • 6:47 PM EDT • Science • wessiler.substack.com

Are the kids all right? Mental health issues drop — but disparities remain

The latest data from a statewide youth survey shows signs of progress, but that’s partly because our comparison is from a “horrible” pandemic peak, experts say.

Aug 27 • 4:16 PM EDT • Health • vtdigger.org

Greenland research institutions halt new US collaborations citing mistrust

Although US President Donald Trump still harbours ambitions to take over Greenland, for US researchers his actions seem to have had the opposite effect. Over the summer, Greenland’s two largest research institutions, the Greenland Institute of Natural Resources and the University of Greenland, both announced policies of not starting new research projects with US researchers.Both institutions cite a mistrust of the US as a motivation for the decision. At the University of Greenland, the change of policy has already led to the rejection of specific proposals for new collaborations, rector Mari Kleist told Science|Business. “The reason is the changed political situation between the US and Kalaallit Nunaat [Greenland], and the uncertainty that the American interest in Kalaallit Nunaat has created,” she said.For the Greenland Institute of Natural Resources, a partially state-funded environmental research institution, the decision was also prompted by a lack of trust in US intentions. In a July interview with local broadcaster KNR, director Josephine Nymand cited concerns about data ownership, US “influence operatives” and social media monitoring of researchers entering the US.The Greenland Institute of Natural Resources has long collaborated with the US National Science Foundation (NSF). The policy change will not affect these existing partnerships but will apply to collaborations with new, “unknown” partners, Nymand said. At the University of Greenland, the policy is the same.The changes come amid proposals of severe cuts to the NSF, which would likely also see the US research presence in Greenland reduced. In spite of this, when asked about the Greenlandic policy change, the NSF remained optimistic of its continued presence in Greenland.“We are grateful to our partners in Greenland for their collaboration in advancing scientific knowledge and training the next generation of researchers. NSF remains committed to the long-term collaborations with Greenland that enable scientific research near communities and on Greenland’s ice sheet,” an NSF spokesperson told Science|Business.Fewer US researchers in GreenlandMost research published on Greenland is on natural science topics such as the cryosphere, ice dynamics, permafrost and climate change. In recent years, US researchers have been the most prolific publishers on Greenland.The US research presence in Greenland goes far beyond the capital of Nuuk, where the two research institutions are located. It includes the Pituffik Space Base in northwest Greenland, various projects in settlements and research stations along the coast, as well as research stations on the Greenland ice sheet itself.The largest of these sites, Summit Station, is located at the highest point of the Greenland ice sheet, about 3,200 metres above sea level, and since the 1980s it has been used for drilling cores out of the ice sheet. These ice cores provide valuable information on the global climate going back at least 100,000 years. About 30 kilometres from Summit Station, the Danish-led Greenland Ice-core Project (Grip), funded by the European Research Council, is also drilling ice cores. Although they initially competed, the relationship between the two research teams has “long been amiable,” Jørgen Peder Steffensen, a Danish researcher who has been part of Grip for more than 40 years, told Science|Business.However, since Trump took office in early 2025, Steffensen has noticed a reduction in US research in the country. “Several of our American partners did not make it into the field this year. Their field seasons were cancelled because they lacked the budget,” he said.He ascribed part of the reduction in US researchers to a renovation of Summit Station. “A very large share of NSF funding has gone into renewing the station. Money has been taken from research and allocated to rebuilding it,” he said.A report published in August by Arctic Hub confirms Steffensen's observations of fewer US researchers. It shows that US research publications on Greenland took a dip towards the end of the period spanning 2015 to 2024. In 2024, before Trump took office, the number of publications had fallen from an average of about 250 articles a year, to just 164, second behind Canada at 169.Data from the NSF logistics provider Battelle also shows a reduction in US research presence in Greenland in recent years. In 2023, Battelle counted 48 projects across 78 locations, but in 2025 that number had fallen to 40 projects across 38 locations. And while relations with US personnel in Greenland have remained strong, some tensions have arisen since Trump took office. “On a personal level, there is nothing. But it’s hanging in the air. It hangs unspoken,” Steffensen said.Cutting ties with US researchers entirely would come at a higher cost for the ice core researchers than the Nuuk-based institutions. To get cargo to and from their bases, both Grip and Summit Station rely on unique, ski-equipped Hercules LC-130 aircraft operated by the New York Air National Guard. Without these, maintaining a research base on the Greenland ice sheet would not be viable on current budgets, Steffensen said. “[If the Hercules planes were not available], we would have to think outside of the box. We would have to use smaller planes, and we would have to build a base closer to the coast. But staying in our current location would be too expensive and it would create a huge carbon footprint,” he said.Suspicious people in NuukIn her explanation of the severed US ties, Greenland Institute of Natural Resources director Josephine Nymand compared the decision to past situations when the institute had to cut ties with China and Russia, the latter due to Russia’s full-scale invasion of Ukraine in 2022. And although the current situation is less severe, the comparison reflects the seriousness with which Nuuk sees the US threats. “From Greenland’s perspective, the US may not look so different from Russia right now: a much larger neighbouring power threatening to invade,” Lin Alexandra Mortensgaard, a researcher of international politics in the Arctic at the Danish Institute for International Studies, told Science|Business. “From a European perspective, it is not a comparable situation, because we are entangled with the US on all possible fronts and do not want to destroy more than is absolutely necessary. But from Greenland’s side, there may well be a need to send a clear signal to the US,” she went on. Suspicions have been fuelled by instances of Trump-affiliated people in Greenland trying to persuade Greenlandic citizens to support a US takeover. The most prolific among them is Tom Dans, a former venture capitalist and pecan farmer who was appointed by Trump as the chair of the United States Arctic Research Commission. Observers fear that he is now using research to achieve a US takeover.“Greenland is a small society with a small population, so when Americans with unclear affiliations wander around, trying to be good friends with people, and you don't know what they want, that creates mistrust. This probably played into the research institutions taking these drastic steps,” Mortensgaard said.Related articles:The US ‘golden age’ science strategy: what Europeans need to knowEU polar research melts into the backgroundAnchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateAnd although Greenland’s population is small at just 57,000, for Mortensgaard, it serves as a microcosm for the geopolitical situation as a whole: global powers fighting for their interests to the detriment of the common interest. Arctic research already suffered when collaborations with Russia broke down in 2022, she said, so a split with the US would be a serious hit to climate science.“The Arctic climate system does not respect borders or geopolitical divides. When collaboration across those lines suddenly becomes impossible, it is a huge problem for knowledge production,” she said. European alternatives?The Greenland Institute of Natural Resources is funded partly by research grants from external sources like the NSF. To replace the US funding, the institute will have to look for alternative revenue sources, and Nymand said that she is looking to Europe for those. Aside from Denmark, of which Greenland is formally a part, she also noted increased interest in research collaborations from the UK, France and Switzerland. Kleist of the University of Greenland told Science|Business that it was too early to say if the severed US ties would lead to more collaborations with Europe. Meanwhile, Mortensgaard believed that the tensions in Arctic research could well leave room for closer European partnerships, or stronger links with Canada. “I spoke to Canadian researchers who had long-standing relationships with American colleagues and who collaborated with the US Navy, but who had gotten worried that their data on sea ice could be used if Trump suddenly decided to follow through on his threats of invading,” she said. “Like Canada, I think Greenland is considering creating closer ties to Europe and I think European capitals will be open to this,” she said.

Aug 27 • 8:00 AM EDT • Science • sciencebusiness.net

Video: Elden Ring Nintendo Switch 2 vs. PS5 graphics comparison

Elden Ring is launching imminently on Nintendo Switch 2, and we’re now able to get a better look at how it compares to the PS5 release with a graphics comparison video. Much has been made of the Nintendo Switch 2 version going back to last year. Out of the gate, the title seemed to struggle with performance. FromSoftware definitely made...

Aug 26 • 6:04 PM EDT • Technology • nintendoeverything.com

Pixel 11's new HiLight feature makes its flashlight noticeably dimmer than prior models

A brightness comparison shows that the Pixel 11 Pro's camera flash and torch are dimmer than those of rivals like the Galaxy Z TriFold and iPhone 17e. The likely culprit is the same diffuser that powers the HiLight notification ring, which sits directly over the main flash LED.

Aug 24 • 1:27 AM EDT • Technology • notebookcheck.net

Video: Metal Gear Solid 4 Side-By-Side Graphics Comparison (Switch 2, PS5, PS3)

Master Collection Vol. 2 launches next week

Aug 23 • 3:00 AM EDT • Technology • nintendolife.com

Video: Metal Gear Solid 4 Nintendo Switch 2 vs. PS5 vs. PS3 graphics comparison

New Metal Gear Solid 4 Nintendo Switch 2 vs. PS5 vs. PS3 graphics comparison video released as MGS: Master Collection Vol. 2 approaches.

Aug 21 • 5:06 PM EDT • Technology • nintendoeverything.com

Picking an EPL team based on wild generalizations, U.S. sports comparisons and niche facts

So you loved the World Cup and want to pick a Premier League team to support? Look no further...

Aug 21 • 6:00 AM EDT • Sports • nytimes.com

49ers' Trent Williams compares rookie to 15-sack former teammate

The San Francisco 49ers have a few rookies who could make an impact in 2026, including one defender who is drawing some interesting comparisons.

Aug 18 • 8:00 PM EDT • Sports • sports.yahoo.com

El-Sayed aide likens GOP opponent's campaign to 'KKK cross burning' over video with Ford pickup

Republican U.S. Senate candidate Mike Rogers' Ford truck video at the Woodward Dream Cruise drew a KKK comparison from an Abdul El-Sayed staffer.

Aug 17 • 5:00 PM EDT • Politics • foxnews.com

Mafia Developer Says Comparisons to Grand Theft Auto Are an 'Internet Thing'

Mafia developer dismisses comparisons to Grand Theft Auto.

Aug 17 • 7:24 AM EDT • Technology • ign.com

AI needs science’s search history

“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.

Aug 13 • 11:16 AM EDT • Science • press.airstreet.com

AbCellera women’s health data top ‘most aggressive upside scenario,’ putting Astellas and Bayer on notice

AbCellera has reported phase 2 results “beyond even the most aggressive upside scenario” that its CEO dared to consider, boosting the biotech’s chances of challenging Astellas and Bayer for a women’s health market. The phase 2 clinical trial compared ABCL635, an antibody targeting NK3R, to placebo in patients with hot flashes caused by menopause. Investigators enrolled 92 postmenopausal women experiencing a mean of about 10 moderate or severe hot flashes per day. By Week 4, the number of moderate or severe hot flashes had fallen by a mean of 8.8 on ABCL635 and by 3.5 on placebo. That statistically significant, placebo-adjusted reduction of 5.3 hit the trial’s primary endpoint. The level of efficacy also cleared the bar set by existing drugs. While cross-trial comparisons can be misleading, AbCellera CEO Carl Hansen, Ph.D., had seen enough to start hyping the program. “We now view ABCL635 as a potential best-in-class non-hormonal therapy with strong differentiation against approved NK3R competitors across all important dimensions, including efficacy, safety, dosing and convenience,” Hansen said on a Monday morning conference call with investors to discuss the data. “We believe ABCL635 is now a highly de-risked program.” Last week, Hansen used AbCellera’s earnings call to set expectations for readout, with the CEO defining success as a clean safety profile and efficacy comparable to the two approved small molecules. The data vaulted over that bar. Astellas linked (PDF) one of the small molecules, Veozah, to placebo-adjusted reductions in hot flash frequency of 2.1 and 2.6 at Week 4 of its two phase 3 trials. Bayer reported (PDF) placebo-adjusted reductions of 3.04 and 3.29 at Week 4 of pivotal studies for its small molecule, Lynkuet. At 5.3, the placebo-adjusted reduction in AbCellera’s trial comfortably cleared the standard set by the incumbents. Veozah and Lynkuet came to market based on evidence of their ability to reduce the frequency and severity of hot flashes. AbCellera’s phase 2 study covered both endpoints, with the Canadian biotech reporting a mean reduction in severity of 1.4 points at Week 4 on ABCL635, compared to 0.3 points for placebo. Again, the placebo-adjusted result compares favorably to data on Veozah and Lynkuet. Analysts shared Hansen’s enthusiasm for the data. The phase 2 results “firmly validate ABCL635 as a potentially best-in-class treatment,” BMO Capital Markets analysts said in a note to investors Monday. ABCL635’s apparent efficacy edge “is likely attributable to the higher dosing/target engagement the asset is able to reach vs. the oral agents due to its wider therapeutic index,” the analysts added. The analysts, who model $2.3 billion in unadjusted peak sales for ABCL635, flagged the safety profile as another positive of the phase 2 readout. While Veozah carries a boxed warning for liver damage, nobody on ABCL635 in the phase 2 trial had elevated liver enzymes or bilirubin values. If replicated in phase 3, the lack of a liver signal could allow approval without the monitoring requirements imposed on Veozah. Investors appeared equally enthused, sending AbCellera's stock up 32% to $9.21 in premarket trading Monday from a Friday closing price of $6.93. Next, AbCellera will collect the Week 12 data and talk to its advisors about further development. The results open up “a wide variety of possibilities of how we might take this forward into phase 3 studies to truly maximize the value of the asset and make sure that ABCL635 is able to demonstrate its differentiation potential,” Sarah Noonberg, M.D., Ph.D., AbCellera’s chief medical officer, told investors.

Aug 10 • 8:24 AM EDT • Health • fiercebiotech.com

Windows 11's built-in Weather app wastes more than 1 GB of RAM

A new report shows Windows 11's built-in Weather app can consume more than 1 GB of RAM. By comparison, Apple's native Weather app on macOS uses roughly five times less memory under similar conditions.

Aug 9 • 9:50 AM EDT • Technology • notebookcheck.net

UCLA’s Bob Chesney Receiving Major Curt Cignetti Comparison

UCLA football head coach Bob Chesney was put in rarified air, getting compared to legendary Indiana coach Curt Cignetti. The post UCLA’s Bob Chesney Receiving Major Curt Cignetti Comparison appeared first on LA Sports Report.

Aug 8 • 10:06 PM EDT • Sports • sports.yahoo.com

5 Anker Accessories That Are Better Than Their Competitors

These Anker products earned top marks from reviewers and customers, while direct comparisons showed why they beat their closest rivals.

Aug 8 • 4:17 PM EDT • Technology • bgr.com

Chartbook 464 The"China squeeze" - the politics of development counterfactuals.

There are three types of China shock discourse. Each has a distinct temporal register. China shock 1.0 was a phrase coined by US academics in the 2010s to retrospectively summarize the impact on particular US labour markets, which they identified through painstaking empirical investigation. China shock 2.0 on everyone’s lips in Europe in the mid 2020s is an alarm raised by trans-Atlantic policy thinkers warning of a coming disaster which they project onto Europe’s ailing car industry. The third type of China shock discourse - commonly known as the “China squeeze” launched most recently by Indian economists Shoumitro Chatterjee and Arvind Subramanian in the pages of Foreign Affairs - mobilizes a different, more speculative temporal register: the counterfactual realm of alternate history. The China squeeze argument asks not what has happened, or what is going to happen, but what might have been. Specifically, what options for economic development might have been open to Global South economies like India or the economies of sub-Saharan Africa, had it not been for China’s spectacular industrialization since the late 1990s and the persistent competitiveness of China’s manufacture in low-skilled segments. Chatterjee and Subramanian’s argument is that whilst China has built a powerful position in electrical machinery and other high-skill manufacturing, which is now delivering China Shock 2.0, it also continues to run a trade surplus in low-skill, labour-intensive manufacturing. This surplus is large and has remained largely unchanged in fifteen years. Indeed, in the 2010s, in trade with low-income countries, China’s surplus rapidly increased. On their reading, this squeezes low-income producers in low-skill sectors in which they “should” be able to compete. Source: “China’s Mercantilist Squeeze on Developing Countries” Shoumitro Chatterjee and Arvind Subramanian. Peterson Institute for International Economics 26-7 May 2026 Chatterjee and Subramanian’s wording is telling: (emphasis mine) The canonical trajectory of economic development in the post-World War II period is for countries to transition from agriculture to manufacturing, first in low-skilled manufacturing and then later on to high-skill manufacturing (Herrendorf, Rogerson, and Valentinyi 2013). At the global level, this implies that high-income countries (HICs) that once specialized in low-skilled activities cede manufacturing export space to poorer countries that come along to occupy that space. In 1965, advanced economies accounted for about 60 percent of global value-added exports in four key low-skilled manufacturing sectors, i.e., apparel, leather, textiles, and footwear. Over time this share declined and began to be occupied first by the East Asian tigers and, beginning in the late 1990s, by China. Today China accounts for about 50 percent of the global market. The question is whether China, with its rising prosperity, is continuing to behave like its richer counterparts and ceding export space to poorer followers or to behave unlike them and continuing to occupy space. In terms of the conceptual maneuvers it performs, of the three China shock discourses, the “China squeeze” argument is by far the most ambitious. After all, it bases its critique of China on a counterfactual imagining of the world. Like any counterfactual argument, to construct this alternative reality it must rely on a heuristic model. To make their argument Chatterjee and Subramanian mobilize two key claims. The first reference point is the actual history of rich-country industrialization, what they refer to as the “canonical path”. The idea is that countries transition from agriculture to light industry and low-skilled manufacturing and from there up the value chain. To make this useful as a standard of comparison and a means to construct a normative standard, they adjust sectoral export shares for two factors: 1. the underlying level of economic development of the exporting country, as measured by national income and 2. the degree to which the sector in question is internationalized. The idea being that for a high income country to have a high export share in low-skill sectors is anomalous and even more so if that particular product is highly internationalized and thus suitable for being “conceded” to lower-income competitors. Where should this process end? Here Chatterjee and Subramanian introduce their second benchmark. Their normative idea of a global development path is one in which, in due course, low-skill manufacturing exports are distributed in proportion to a country’s share in the global labour force. They imagine, in other words, a world of proportional, polycentric global development without much national specialization in low-skill manufacturing. A useful benchmark is that, in labor-intensive manufacturing sectors, a country’s share of world exports should be broadly commensurate with its share of the world’s low-skilled labor endowment. … In the Heckscher-Ohlin model, this would be true if value added per worker and export propensities, i.e., fraction of output that is exported, are the same across countries. It is this pleasant liberal vista of orderly global development, progressing towards a general distribution of low-skilled manufacturing against which they judge reality and conclude that the low-income countries are suffering a “China squeeze”. China is not exiting low-skill sectors fast enough Allowing for its gdp level and the degree of globalization, China’s share of low-skill manufacturing exports is far higher than it “should” be. Relative to population, its low-skill share of exports is far too high. That in turn yields the conclusion that huge numbers of jobs - the authors suggest tens of millions - are being hoarded by China. For the four sectors captured in figure 4, this excess in value-added exports is $110 billion in 2022. For all low-skilled sectors overall captured in appendix figure D.1, excess value-added exports amount to $365 billion. The crowding out of LMIC exports by China is therefore substantial. Both these claims have in common that they are strong structuralisms. The first is that development paths ought to resemble each other. The second is that broadly speaking as far as low-skilled manufacturing is concerned, all countries are alike. If the world currently diverges from the distribution of trade implied by these assumptions, if China is not following the advanced economy path and has huge exports, this must be the result of “policy”, which the authors then put in question as illegitimate or unfair. Thus the naturalistic construction of a canonical path leading to a “level” distribution of low-skilled manufacturing reveals itself to be a polemical tool. From the point of view of China shock polemics, this discourse is no doubt welcome. But as an account of economic history, it must surely be regarded as nothing short of bamboozling. Development paths do not follow a regular, natural sequence. As David Fishman put it aptly, “development is not a queue”. They are always and everywhere, through and through political. Development is not so much a process, as a project. Each such project is more or less well adjusted to its context. As Gerschenkron taught uneven and combined development implies differentiation rather than simple imitation on a single parth. It may be true that Europe and the US exited relatively early from low-skill work. But clearly technology has changed. As C&S themselves point out, China no longer enjoys a low wage environment. Do they really believe that such huge differences can be accounted for either by industrial policy, which as they admit does not operate powerfully in low-skill sectors, or by exchange rate manipulation? What is overwhelmingly dominant in explaining the persistence of “low-skill” manufacturing in China are surely the network effects of complex supply chains. Indeed the label of “low-skill” may miss the point. The degree of globalization which Chatterjee and Subramanian decide to conjure away in their model of the development path - to allow for the fact that Europe and American textiles exporters did not enjoy just-in-time logistics in the 1950s - obscures the point that the networks through which Chinese factories supply the world are themselves key parts of the low-skill industrialization project. China isn’t knocking out 1970s style “cheap”. It has redefined the entire product cycle. C&S’s casual reference to “T-shirts” is telling. In today’s “fast fashion”, there is weight on both terms. Fashion and fast. China’s success in delivering on both at unprecedentedly high speed and at unprecedentedly low cost, isn’t a low-skill operation at all. If we see development trajectories not as the serial repetition of the same, but as distinctive, crafted projects that cumulate in complex agglomerations of skill, technology and labor, then this explains why the assumption that low-skilled manufacturing should follow the distribution of population flies in the face of all experience. As countless cases attest, low-wage, low-income developed economies are not by themselves the makings of a competitive production base. As Leon Liao puts it quite fairly: “International trade has never been allocated according to population. A country’s population gives it no natural claim to an equivalent share of global exports." And the remarkable fact is that Subramanian alone and with co-authors has long been making this point, not to pillory China, as is the case of the tendentious _Foreign Affair_s and Peterson pieces, but to highlight the great counterpart to China’s industrial success, namely India’s relative failure. The much-quoted Foreign Affairs piece showed low-skill export shares only for China, not for India. If you put both countries in the picture as Chaterjee and Subramanian have done on other occasions, the picture looks like this. China is far above the line, but India, almost as large in terms of population, is no less anomalous, just in the opposite direction. As far as global populations are concerned, and the imagining of tens of millions of “squeezed” jobs, it is this Sino-Indian pair that account for a huge share of the action. What this graph reveals is not China’s cheating, but India’s “greatest development failure”, at least this is the argument made Arvind Subramanian, this time in co-authorship with Devesh Kapur, in their major book, A Sixth of Humanity. Independent India’s Development Odyssey which appeared with Oxford University Press earlier this year. In this highly critical work on India’s development, China is repeatedly evoked, not to criticize but as a benchmark against which to illuminate what India’s political economy has not delivered i.e. large-scale formal employment for hundreds of millions of citizens. Kapur and Subramanian leave no doubt, if you want to understand why China, not India was the main driver of manufacturing globalization from the 1980s, don’t look to slots opening up in the division of labour thanks to the liberal mindedness of advanced economies, look to the contrasting political economy of the Maoist PRC and India’s post-independence political economy. As Kapur and Subramian note: The great divergence between China and India did not begin in 1978 with the Deng reforms—it was well underway by then. In one of the great ironies of modern history, the conditions created by Maoism turned out to be a great launching pad for industrial globalization. As the comparison of India and China in 1980 makes clear, to imagine manufacturing would be equally distributed when populations are so differently endowed in terms of educational and nutritional is fanciful. Here is the data from Kapur and Subramanian, data which I explored back at the very beginning of Chartbook. As Kapur and Subramanian insist, the striking fact is that even as India’s growth accelerated from the 1980s, structural change has not. Formal employment in India lags woefully behind. Why? As Kapur and Subramanian note, the path-dependent impact of India’s poor early start was devastating. The list of factors they mention is long and weighty: We argue for a new five-fold explanation applicable at different stages of Indian history: in the initial stages, the legacy of two key pre-1980s policies, the neglect of agriculture and the strangling of the domestic private sector, were critical. The failure of broad-based agricultural growth militated against rural industrialization, which would have been devoted to satisfying local needs that would have necessarily been labour intensive. Then, when the boom came after 1980, the thicket of regulation and broader labour protections that were legislated prematurely in a nascent democracy, underpinned by a deep ideological aversion to private capital in general and big capital specifically, became a barrier to attaining the size that would be necessary to compete globally. Similarly, the reforms after 1991, while wide-ranging, did not quite encompass non-tradeable inputs critical to manufacturing, namely, land, logistics infrastructure and power. A combination of low investment (logistics infrastructure), regulation (land) and the continued monopoly supply by state governments (power), combined with residual socialism, kept costs at 75–100 per cent above efficient supply. These factors were compounded on the supply side by the government, which dominated the formal labour market and established exorbitantly high wages at the lower end of the skill spectrum. This made their employment in the labour-intensive sector by the private sector less attractive. Finally, when the services sector and its exports boomed, wages soared even further via a Dutch Disease effect: one successful tradeable sector killed and cannibalized another less-skilled tradable sector, namely, manufacturing. Thus, scarcity-inducing policies of the planning era, precocious democracy and a Gandhian aversion to size; inefficient, monopolistic supply of critical non-tradable inputs; the behemoth of government; and super-successful skill-intensive services successively undermined India’s unskilled labour employment opportunities. The employment failure seems to have been over-determined. … Less quantifiable but no less important are some of the sociological factors that have undermined manufacturing and factory jobs. Take the impact of the success of the IT sector—located in urban areas with better working conditions, such as air-conditioned offices, good schools for children and attractive entertainment options. It became a more attractive place for engineering and management graduates to flock to. … Consider manufacturing and female employment. Indian society makes it difficult for women to work, reflected in India’s unusually low female labour force participation (elaborated in Chapter XIII). Indian society, in particular the routine harassment of women in public spaces, makes it even more difficult for them to travel long distances to take up work.37 Combined with onerous regulations on creating hostels and dormitories for women—which, in turn, prevents multiple shifts of operation—factories need to be located in areas with a large female labour pool. While firms can take apparel plants to female labour or bring them to the plants by building large-scale dormitories, this raises costs. If there was a case for subsidies to encourage labour-intensive manufacturing, housing subsidies to build dormitories for women workers would be a good place to start. All of this meant, that when opportunities did open up, in part thanks to adjustments in China, India was in no position to take advantage. Here is the account of the 2020s from Kapur and Subramanian. It stands in dizzying contrast to the one-sided, “China squeeze” argument delivered in the Peterson and Foreign Affairs pieces: In 2022, for example, India’s share of global exports in clothing (the canonical labour-intensive sector) was 3.1 per cent compared to 32 per cent for China. This is extremely disappointing because China started vacating export space in this sector after the Global Financial Crisis as its wages started rising; it then vacated further space in the aftermath of geopolitical developments that led investors to seek alternative investment locations. Between its peak and today, China lost about 7.5 percentage points of global export share (worth about $43 billion in 2022); over this period, India’s export share remained stagnant at 3 per cent, while that of Vietnam and Bangladesh rose by 3.5 to 4 percentage points. China’s loss did not translate into any gain for India in terms of low-skill exports and employment. Put differently, when the conditions for dynamism and prosperity were established after 1991, and even more tantalizingly when the global export opportunities opened up, it was as if India was a high-wage economy and only skilled labour could benefit from the dynamism. It had converted its physically abundant unskilled workforce into an economically expensive resource, penalizing its use. It is not my mission here to argue for or against Kapur and Subramanian’s interpretation of India’s development trajectory. The point in this context is simply that the “China squeeze” such as it is can only be understood, in relation to the heavy burden of domestic constraints that Kapur and Subramanian so unsparingly enumerate. I am concentrating here on India because it is the great counterpart to China and the unspoken reference point of the “China squeeze” discourse. But the point is more general. Can anyone with a straight face suggest that the main problems afflicting the development of South Africa or Nigeria, the great centers of mass underemployment in sub-saharan Africa, are cheap competition from China driven by Beijing’s industrial policy and an undervalued RMB? Likewise, is the main problem of the American working-class the threat of Chinese competition or the manifest crisis of social reproduction in the United States itself? The point here, as in the discourse around China shock 2.0 in Europe, is to insist that we should not normalize the world and pathologize China, without actually investigating what is going on in America’s industrial wastelands, the German car industry, or India’s lopsided labour market. One-sided pathologization should be understood for what it is, a polemical gesture. Concepts like China shock and China squeeze are, what Reinhart Koselleck, following Carl Schmitt, would have described as “asymmetrische Kampfbegriffe”, or “asymmetrical counter-concepts” or “asymmetrical combat concepts”. If the function of arguments like the “China squeeze” is to alert elites in the rest of the world of the need to rejuvenate and energize their development projects, so be it. But let us see the resulting discourses as the mobilizing interventions that they are. Interestingly, a significant slice of China’s public sphere - the so-called industrial party - have been obsessed for the last twenty years with precisely these questions of counterfactual economic history. Since the mid 2000s, a massive online discourse developed around an alternative history in which Chinese techno-patriots were asked to imagine how they would proceed if they had the possibility of traveling back in time to transport modern technology into the Ming dynasty (1368-1644) thus averting the “great divergence” of the 18th and 19th centuries. It is a fantasy of course, but also a goad. The point was not directed at Westerners. The alternate history is dramatically nationalist, but few n the West had even heard of it until recently. The adherents of the industrial party are not liberal moralists. They don’t project natural ladders of international development and ask why others don’t cede space. They take the Realpolitik of global economic development for granted. Their pointe was directed against fellow Chinese. The rallying cry of the alternative narrative was this: Now that we are beginning to gain steam and push forward on our national development path, now that we are breaking out of the inferior position assigned to us even in the early years following WTO accession, do not lose yourself in humanistic imaginings about better futures. In the spirit of Deng, they called on China to embrace the hard truth of development. Perhaps one might of the Industrial Party as a cultural trend born out of desire for symbolic revenge against those who had inflicted the century of humiliation. In terms of the various temporalities of the “China shock” - retrospective, prospective and counterfactual - one might think of the Industrial Policy discourse as truly speculative, conjuring up the China shock that never was. Or perhaps one might better think of it as imagining a world in which a powerful China was no shock at all, but simply a defining fact of modern history. I love putting out Chartbook. I am particularly pleased that it goes out for free to thousands of subscribers around the world. But, writing this newsletter takes a lot of work. If you are enjoying it and would like to support the project, sign up for one of the subscription options here. It is the equivalent of a fancy cup of coffee per month! Subscribe

Aug 5 • 7:18 AM EDT • Politics • adamtooze.substack.com

Science Inquiry Comes Alive for Jacket Middle Schoolers

Snails, sidewalks and Double Stuff Oreos... At Partnership Middle School, instructors are finding innovative ways to help students connect the classroom to what they see in the real world every day. By integrating hands-on experiences and scientific investigations into weekly lessons, 6th and 7th grade science teachers push their classes to explore the curriculum standards through the lens of critical thinking, communication with their peers, experimentation, and scientific inquiry. Last week, two different approaches for two different grade levels saw Jacket teachers ignite the same spark for learning. On Tuesday, 6th graders in Lydia Jones' science class took their lessons outside as they explored the school grounds to identify living and non-living things. Despite the warm temperatures, they engaged in discovering unexpected objects on the campus and connecting that to what they learned in class about the criteria for what qualifies a thing as "living". Ms. Jones tasked students with walking the grounds and listing as many living and non-living things they could find in just a few minutes. Students spotted a fire hydrant, construction vehicles, grass, trees, soccer equipment, rocks, sidewalks, and even a snail hidden in the plants. After they finished the exploration, students returned to the regular classroom to discuss their results and whether their objects were classified correctly. On Thursday, 7th graders in Omini Parks' science class participated in their first lab of the semester as they explored and identified the physical properties of a favorite snack -- Oreos. Ms. Parks identified the class objective before the lab activity began by writing the academic standard on the dry erase board in a declarative statement: "I can collect and evaluate qualitative data to describe substances using physical properties." Students watched a video about how Oreo sandwich cookies are made, and then engaged in a question and answer discussion to give observations on the manufacturing process, review various types of physical properties and their scientific terminology, and talk generally about how the lab inquiry would work. The Q&A ended with a predictable question from students... "Will we be able to eat the Oreos?" The hands-on lab exercise required the 7th grade scientists to observe and record the differences between regular Oreos and the Double Stuff variety based on their physical properties. They followed the instructions in their lab brief to chart a comparison between the two types of cookies by observing properties with their magnifying lenses, measuring the height and diameter of both, and weighing the cookies with and without their filling. The activity let students put their lessons about physical properties into practice with real objects while also practicing vocabulary and writing skills to record their observations and using math skills from the last school year like taking measurements and calculating averages. Of course, they ended the lab by charting the taste of the cookies as well! These types of activities allow students to see the science standards they are learning come to life in the real world and engage with the content in new ways. Beyond that, they serve as a foundation for encouraging and growing scientific inquiry. Later in the school year, students will use the scientific method they are learning to complete science projects that require real research and the ability to explain and answer questions about their process and results. At the school-level competitive Science Fair last year, 41 Partnership students earned a place in the 2026 regional Science Fair held at MSU. From there, 14 advanced to the State Science Fair conducted at Northeast Mississippi Community College in April.

Aug 1 • 8:00 AM EDT • Science • starkvillesd.com

Chile declares health alert for hantavirus

The Chile Ministry of Health issued a Health Alert for hantavirus and other diseases, such as some arboviruses and avian influenza. This is the first time this measure has been taken and it will be in effect until July 31, 2027 and it extends from the Atacama region to the Magallanes region. “Hantavirus causes a disease that is endemic to Chile, transmitted by the long-tailed pygmy rice rat that lives in rural and semi-rural areas throughout almost the entire country. As a ministry, we are constantly monitoring its behavior and are very concerned and actively working because this year the virus's lethality has increased, and for this reason, we decided to declare this alert. As of last week, there were 46 confirmed cases and 18 deaths, representing a 39% lethality rate,” reported the Undersecretary of Public Health, Dr. Alejandra Pizarro. Cases have occurred in the regions of Valparaíso, Metropolitan, O'Higgins, Maule, Ñuble, Biobío, La Araucanía, Los Ríos, Los Lagos, and Aysén. By comparison, in 2025, there were 44 infections and eight deaths (18% case fatality rate). The health alert, which is preventative and prepared, will allow for the granting of extraordinary powers in the event of serious health emergencies to strengthen surveillance, ensure timely resource management, hire specialized personnel, implement health control measures, and expedite the acquisition of supplies through direct procurement. The alert does not imply that there is an ongoing epidemic or that the healthcare system is overwhelmed. Subscribe to Outbreak News TV on YouTube “Hantavirus is not exclusively a summer virus, as the long-tailed pygmy rice rat is present year-round. Therefore, we urge everyone to take extreme precautions: avoid touching rodents, ventilate homes before entering if they have been closed, clean unused spaces with water and bleach, and keep garbage covered and food stored away. Furthermore, it is crucial to be aware of the symptoms: fever, intense muscle pain, and difficulty breathing. If someone experiences these symptoms and has been in rural or semi-rural areas where the long-tailed pygmy rice rat may have been present, they should immediately go to a health center and inform the medical staff so that a hantavirus diagnosis can be considered promptly,” the official added. Since December 2025, the Pan American Health Organization (PAHO) has maintained an epidemiological alert due to the rise in hantavirus cases throughout the Southern Cone, and that the Ministry of Health had an epidemiological alert in place since November of last year. Chile eliminates leprosy As mentioned above, the Health Alert decree also covers diseases transmitted by the Aedes aegypti, Aedes vexans, and Anopheles pseudopunctipennis mosquitoes, such as dengue and Zika, which, according to the alert, “have a high epidemic potential, which could generate high demand and overload for health facilities.” For these diseases, the alert is in effect from Arica to Los Ríos. The authority stressed that it is essential to prevent mosquitoes from breeding in stagnant water and to monitor any suspected cases of people arriving from abroad infected with any of these diseases, in order to prevent any of these vectors from biting a sick person and starting to spread the disease. In the case of avian influenza, the alert was extended to the entire country, because unlike other years, the disease has been concentrated in wild and farm birds, not in poultry farms, increasing the risk of exposure for people. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe

Aug 1 • 7:41 AM EDT • Health • outbreaknewstoday.substack.com

Famitsu sales (7/20/26 - 7/26/26) - first week sales revealed for Splatoon Raiders, big Nintendo Switch 2 boost

The latest Japanese hardware sales from Famitsu are as follows: Switch 2 – 50,168 PS5 Digital Edition – 8,512 Switch Lite – 3,771 Switch OLED – 2,770 Switch – 626 PS5 Pro – 363 PS5 – 309 Xbox Series X – 71 Xbox Series X Digital Edition – 57 Xbox Series X – 23 For comparison’s sake, here are the...

Jul 30 • 9:05 AM EDT • Technology • nintendoeverything.com

Houston Texans Offensive Lineman Draws Bold Comparison in Preseason Preview

Jul 27 • 10:18 PM EDT • Sports • sports.yahoo.com

New Giants DC Leans Into Abdul Carter-Micah Parsons Comparisons

Dennard Wilson can see why Abdul Carter is the New York Giants' most valuable player. Wilson explained the comparisons between Carter and Micah Parsons, even though the Giants' edge "wants to be his own person." Carter had a disappointing rookie season, stat wise, with only four sacks in 17 games.

Jul 26 • 10:30 AM EDT • Sports • sports.yahoo.com

Halo: Campaign Evolved Comparison Shows Difference Between Xbox Series X And Series S

How the Xbox versions stack up

Jul 23 • 12:00 PM EDT • Technology • purexbox.com

The iPhone 18 Pro's Rumored Camera Upgrade, Explained

Apple's upcoming iPhone 18 Pro and iPhone 18 Pro Max are expected to feature a variable-aperture camera. The upgrade has been rumored repeatedly and would be a first for Apple's smartphone lineup, but what would it actually change for everyday users? An aperture is the opening inside a camera lens that lets in light. A natural comparison would be the pupils of your eyes, which open wider in the dark and become smaller in bright conditions.

Jul 22 • 5:15 AM EDT • Technology • macrumors.com

UFC Freedom 250 Fails to Knock Out The Ratings

(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) If UFC fans wanted one image to say, “Hey, Paramount+ is crushing it with their UFC rights deal,” I could provide that image. Here it is: (Reminder: this is my creation of the Nielsen Top 30, since Nielsen doesn’t combine the lists or include sports. I take all three lists and combine them. Some streaming TV shows probably have higher ratings than many of the films on this list.) Look at that! UFC Freedom 250 is number one! It topped the Nielsen “Top 30” list for shows and films that made the top ten the week of 15-June. So if you’re a UFC fan or supporter of Paramount+, that’s the good news for you this week. This program topped the ratings charts for one week. Everything else is bad news, or at least a huge caveat to that story, which I’ll explain today in the first part of this week’s Streaming Ratings Report—for the weeks of 8-June and 15-June—which is a double issue since I’ve been writing on a bunch of topics recently. UFC Freedom 250 is one of the biggest streaming events of the year, and super relevant to Paramount+’s strategy, so it merited its own article. Let’s dive in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of June 8th to June 21st 2026. You can find a link to my terminology here.) Subscribe Check Out My Interview on UFC 250 at MMA Draw After you read this article, if you want even more thoughts on UFC and Paramount-Skydance/Paramount+, I did a written interview with MMA Draw. They asked me to answer some questions about UFC Freedom 250, and I was happy to chat with them. Find it here: [ The MMA Draw Newsletter Did Paramount really overpay for the UFC? What the data tells us so far If you know the history of American television, you also know that combat sports is often a leading indicator of the future… Read more a day ago · 10 likes · 1 comment · Nate Wilcox and Zach Arnold ](https://www.themmadraw.com/p/did-paramount-really-overpay-for?utm_source=substack&utm_campaign=post_embed&utm_medium=web) I never thought I’d need a combat sports newsletter in my life, but the good folks at MMA Draw publish an excellent one on UFC, MMA, pro wrestling, boxing and more, analyzing both the sports themselves and the politics, economics and antitrust issues that impact them. Check the article and their newsletter out! Paramount+ Has Its Best Sporting Event of All Time…But Was It Worth It? Before we look at the UFC Freedom 250 data in particular, let’s talk about what we can’t say. Namely, let’s start with the lack of comparisons. First off, I’d love to put a chart out comparing this fight to past UFC fights on Paramount+…but we don’t have the data. This is the first time we’ve gotten Nielsen data about a Paramount+ UFC fight. As far as I can tell, Paramount provided data for the first fight, but it was a proprietary datecdote (saying it had “an average minute audience” of 5 million “views”) and then, for two fights, we got the linear viewership numbers when they aired on CBS, but no streaming data. Everything else was crickets. We also can’t compare this fight to other fights/combat sports on streaming, in particular the MMA and boxing, because Netflix also didn’t use Nielsen to track those events, opting for TVision and VideoAmp, respectively. (This isn’t Paramount’s fault, but does still suck.) We also can’t compare to UFC’s fights that used to be on ESPN+, since we don’t have any data for that, plus Disney+ didn’t have marquee fights. The comparisons would not be apples-to-apples. Can we compare to past Pay-Per-View fights? Absolutely not. The comparisons would absolutely NOT be apples-to-apples. That didn’t stop Paramount+, though, who bragged that their UFC events have reached drastically more people than past PPV fights. Duh. Sorry, but I gotta make this point again. A basic tenet of economics is that the cheaper something becomes, the more people consume or buy it. That’s Econ 101. (Sometimes pundits call things “Econ 101” that are actually like Econ 210 or even PhD-level economics, but no, this is really like first or second class basic economics.) Yet I still see one analytics firm consistently say that more people watch films on streaming than PVOD proves streaming which means that the streaming window is more valuable than the PVOD window. No, it’s not! Same thing here. Pay-Per-View events back in the day could be really, really, really expensive! So whole groups of people pitched in to buy them. That increased the perceived value of, say, the Mike Tyson fight. Or a UFC numbered event. So yes, the fact that Paramount+ makes numbered UFC fights essentially “free” if you’re already a Paramount+ member means consumption will go up. Obviously. Same for Netflix and their boxing matches. They’re talking about fights that used to cost consumers, in some cases, $50 in 1996…which is over $100 in today’s dollars. Over 1.6 million people paid that to watch the Tyson-Holyfield fight! Again, streaming is essentially “free”. Or $10 to $20, depending on what streamer we’re talking about and what tier you’re on. No wonder more people are “watching”. (Plus, Nielsen’s out-of-home viewing also helps these numbers.) UFC Freedom 250 Did Well…But I Have A Lot of Worries So what can we compare the fights to? Well, the good news is Nielsen put out that the fight averaged 7.0 million viewers for UFC Freedom 250, which is a solid number for a fight. We also know the length, at roughly 4 and a half hours. (I saw different run times, but this seems to be the consensus considering it started at 8 pm, had a delay and then finished after midnight on the East Coast. If you assume a shorter run time, then yes, the total hours viewed would go down.) That means I have the two numbers needed to add this to my Nielsen database. And then…I can compare this viewership to the NFL: And, uh, not great. But also within striking distance, mainly because the runtime for this event was so long. I’d also add that this event had viewership equal to a regular season NFL game on streaming, but if anything, it was more comparable to an NFL playoff or Super Bowl-esque event. And you can compare viewership to the top football games on broadcast, cable and streaming, and it’s not impressive at all: We can also compare it to other sports that week, including the NBA Finals and start of the World Cup: Again, not great. The NBA generated roughly four times as many average viewers each game for its NBA Finals. The World Cup has similarly big numbers. Also, that’s just a tiny fraction of the 25 most watched sporting events each week. The NBA, NHL and FIFA World Cup had many, many more games racking up hours. We could also compare this to other streaming programs to get an idea of “is this a good investment?” and here is how it ranks compared to other top Paramount+ programs: The worry here? Well, unlike scripted programming, which has rewatchability, older fights/sporting events have very little library value. Very, very few people are rewatching these fights, especially years from now. Paramount has also released datecdotes bragging about their subscriber numbers. Earlier this year, they claimed that the first UFC fight on Paramount+ brought in 1 million subscribers. Then, in their quarterly earnings report, they only ended up with 700K subs. Not great! They claimed they dropped lower-value international subscribers, but that’s why I tend to discount subscriber additions when they’re leaked to the press.1 I expect we may see a bump again for UFC Freedom 250, but I’d caution using subscriber growth so soon after these events to judge the success, since new subs with high churn (see Peacock) aren’t great either. Also, analysts often want to attribute all subscriber growth to their favorite/pet show, and that just doesn’t make sense. The biggest caveat for UFC Freedom 250 and Paramount’s very first UFC marquee event is that these could be high watermarks for the sport. UFC Freedom 250 had an incredible amount of earned media coverage compared to most UFC fights. I mean, it had wall-to-wall national news coverage in the lead up to the event. (The first fight also had a lot of promotion from Paramount since it was first.) Other fights could reach this bar—say the Conor McGregor return to the Octagon—but they’ll be fewer and far between. Was This Deal Worth It? All to ask: is this Paramount deal worth it? In this case, I think the UFC Freedom 250 numbers are more distracting than helpful. This fight did well and compares well to other top sporting events. But we know that the first marquee event was at least a third smaller, if Paramount’s own data is to be believed. And it’s likely the other fights are much, much, much smaller. And then you get to the paycheck that Paramount-Skydance paid. FIFA’s World Cup cost about the same for Fox, but clearly generated multiples more total viewership. (Though it’s only every four years.) The NBA is much more expensive, but until the playoffs, they likely didn’t pay for itself. Even still, Disney, NBCUniversal and Amazon Prime Video likely overpaid. So, in that context, the NBA may be an overpay that makes the UFC look not so bad. But two overpays don’t make an underpay, to paraphrase the old cliché about wrongs and rights. And looking at UFC Freedom 250 as the likely ceiling of MMA on Paramount+, Paramount-Skydance likely paid too much. Share 1 I would love regular reports on subscriber additions by programs, but as is, it’s mostly leaked or rumored in haphazard ways.

Jul 20 • 6:48 PM EDT • Entertainment • entertainment.substack.com

Chansky's Notebook: The Cost of Business

UNC has released its salary structure for the 2026-27 men's basketball season, and by comparison, it has to be a game of wait and see.

Jul 17 • 8:17 AM EDT • Business • chapelboro.com

Starlink’s V5 dish is now available

Where’s the new Starlink Mini, tho?

Jul 15 • 3:17 AM EDT • Technology • theverge.com

Mick Jagger slams idea of artists talking politics at concerts

OPINION: Mick Jagger, lead singer for The Rolling Stones, explained in an interview why he doesn’t want to “lecture” his audience at concerts, in comparison to more political arti…

Jul 13 • 2:04 PM EDT • Politics • thehill.com

Cloud Computing for Life Science Research: AWS, Google Cloud, and HPC—Which Do You Need?

A practical, no-hype comparison of cloud computing for life science research: when AWS, Google Cloud, or institutional HPC actually fits. Explore the guide.

Jul 13 • 8:00 AM EDT • Science • technologynetworks.com