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Claude spots a mystery enzyme scientists overlooked
Autonomous agents flagged a family of phage enzymes with CRISPR-like repeats, though what the system does remains unknown.
AI Cloning Threatens To End Public Playtests For Video Games
Moonlighter dev Digital Sun has cancelled plans for a public playtest of its next game, for fears of Claude clones
Developer Who Cloned Photoshop With AI Just Did the Same to Microsoft Office
Developer Brandon Thomas used Anthropic's Claude to build free, open-source replicas of Word, Excel and PowerPoint.
BizTrip AI Announces Connection With Claude and ChatGPT
Users will be able to manage travel without switching to separate app or website
Anthropic's Claude Science creates the first complete ultraviolet map of the sky
Astrophysicist Brice Ménard of Johns Hopkins University used Anthropic's Claude Science to map the entire sky in ultraviolet light for the first time. AI agents downloaded data from multiple space missions, calibrated it, and filled in gaps using inpainting. Predictions averaged about ten percent deviation from actual measurements. Ménard sees the project as an example of research that simply wouldn't have gotten done without AI.
WATCH LIVE: Judy Woodruff and Jamelle Bouie discuss the freedom of the press at Monticello
This event streams live at 6 p.m ET on Sept 21, 2026 in the player above. More about the event: At a pivotal moment for the nation, this conversation will consider the role of journalism in sustaining a free society and the challenges facing the press in 2026 and beyond. The evening will feature a conversation between award-winning journalist Judy Woodruff and New York Times columnist Jamelle Bouie, Monticello’s 2026-2027 Fritz and Claudine Kundrun Fellow.
Why letting Claude clean your TV's bloatware isn't the best idea
Don't let an AI bot potentially crash your TV.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
📈 Monday data: The bottleneck isn’t intelligence
In the AI Investment Brief today: CapEx updates and lease commitment breakdowns Anthropic co-founder Jack Clark recently said in a speech at the IMF that the singularity has begun: For many years, researchers and science fiction authors have forecast a future in which AI systems drastically increase the pace of overall scientific and technical progress, making things move so quickly that it is hard for humans to keep up. They call this the singularity. I believe that this year we have gained convincing evidence that it has now begun. This follows Anthropic’s claim that in August, 26% of its AI R&D was led by Claude, with a human supervising its work. In October, OpenAI posted 719 math manuscripts1 made by its internal model. Math and coding are two fields where a research loop can close without leaving the desk. But can the loop close in the rest of science? Subscribe The loop is real The idea is not new. Mathematician Irving John Good, who had worked with Alan Turing at Bletchley Park, argued that a machine smarter than us “could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind.” The Gödel machine, a self-improving computer that can rewrite its own code better than its prior, was first proposed in 2003. In 2025, researchers at Sakana AI and the University of British Columbia set out to show that this was possible. Their agents iteratively improved their own code through a feedback loop, resulting in gains of 30 pp on SWE-bench and more than 15 pp on Polyglot, testing coding skills beyond Python. The idea has since been tested in other labs. A Gemini-powered agent called AlphaEvolve found a faster matrix multiplication kernel used for training Gemini, speeding up the kernel by 23% and cutting Gemini’s training time by 1%. In China, MiniMax reported that its M2.7 model worked on improving its own agent’s harness, skills, sampling and memory. Over 100 rounds of rewriting led to a 30% gain, per its internal evaluations. In each case, what was being rewritten was not the model itself but everything around it. Is it better than human work? In September this year, in what seemed like a milestone, an AI-built agent proved as good at improving other AI agents as a human-built one. It did that in what appeared to be half the steps. But the result was inconclusive: the differences between runs were greater than the difference between the AI- and human-built agent results. Nonetheless, this is increasing the chatter around recursive self-improvement (RSI) in AI. Google’s Sundar Pichai said that “you have RSI loops along with AI researchers in various aspects of model development.” Sakana AI published a paper on RSI through multi-agent collaboration, finding that after two cycles its system scored 1.2–1.6x better per output token than the base model across four research benchmarks. Ramez Naam challenges that view. He splits AI self-improvement into five overlapping types. The first four describe how autonomous the AI is; so far, only types 1 and 2 have been observed. The fifth type describes accelerating returns, and he notes that greater autonomy doesn’t guarantee a takeoff scenario. Instead, each round of self-improvement would need to deliver at least as much as the last. The results from Sakana, AlphaEvolve and MiniMax above might look like type 3 or type 4 autonomy. But in each case, the AI wasn’t updating its own weights directly, only the ancillary parts — the harness, the memory. And where Claude leads its own R&D, for now a human still supervises.
Claude AI accessed publicly available Georgia voter data, Anthropic confirms
Officials said the AI bot accessed publicly available voter data through the state's data hub but did not access voter files or Georgia's voter registration system.
AI game mashup videos on social media spark debate and backlash among players and modders
The Claude-created videos overlay one game on top of another to make a rudimentary ‘mashup’…
Anthropic IPO: AI catastrophe could exceed insurance capacity
The Claude maker’s prospectus also reveals an FTC investigative demand, uncapped indemnities and a $1.5bn copyright settlement its insurance didn’t fully pay for
Ex-DOGE startup's AI agents broke into Anthropic's business systems in less than 12 hours
Anthropic says the researchers reached a limited set of sales, HR and IT systems but not Claude conversations, source code or model weights
No science background? AI does the lab work
Financial analysts used Anthropic’s Claude to design protein minibinders that bound scorpion toxins in lab tests—showing AI can compress drug discovery...
The biggest changes Anthropic just made to Claude's rules
Anthropic spelled out a series of new usage provisions about deceptive campaigns, elections, weapons development, and surveillance.
Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work
For enterprises, it makes a whole lot of sense: their digital storefront, website, content management system, procurement platform, or other business application rarely has a discrete endpoint.
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
Anthropic's AI Hid a Secret Message in the Stars. OpenAI's Bot Found It.
Morse code is back, baby.
Anthropic's IPO filing shows how it's boosting biotech research
Anthropic's S-1 filing says Claude can accelerate drug discovery and biology research, making life sciences central to the AI company's IPO pitch.
“That has been missing” Marchisio wants continuity at Juventus
Claudio Marchisio believes Juventus have lacked continuity for some time, and he wants to see that return to the club this season as Juve continue their rebuilding process.For several seasons, the Bia...
Qlik Brings Governed Business Context and Analytics Workflows to Claude
Qlik’s MCP Server is now available through Anthropic’s Claude Directory, giving Claude users a simpler way to connect governed Qlik® data, analytical logic, and selected analytics and data workflows, so they can work with trusted business context instead of raw data alone. Key takeaways: Makes Qlik easier to discover and use inside Claude: Availability through Anthropic’s Claude Directory gives Claude users a more direct path to connect Qlik through MCP.Brings governed business context into Clau
Claudia Lucchinetti Named Executive Vice President
Claudia F. Lucchinetti, M.D., Executive Vice President for Medical Affairs and the UT Dell Medicine Health System The University of Texas at Austin has
Ranieri: ‘Luckily’ young Italian footballers get playing outside Serie A
Italy technical director Claudio Ranieri is focused on developing young players, but insists youth coaches must be paid more and notes that, ‘luckily’, many youngsters are gaining valuable playing...
Gambit's Best of New Orleans 2026: Entertainment
Design by Dora Sison / Gambit Best Bounce Artist googletag.cmd.push(function() { googletag.display('ad-1492300'); }); 1. Big Freedia (Instagram: @bigfreedia)2. Ha Sizzle (Instagram: @hasizzlethevoice)3. Subtweet Shawn (Instagram: @subtweetshawn1) Trixie Minx Photo by Sophia Germer / The Times-Picayune Best Burlesque Performer1. Trixie Minx (Instagram: @trixienola)2. Bella Blue (Instagram: @bellablueforever)3. Miss Angie Z (Instagram: @missangiez) Best Casino1. Caesars New Orleans (8 Canal St., 800-427-7247; caesars.com/caesars-new-orleans)2. Treasure Chest Casino (4550 Williams Blvd., Kenner, 504-443-8000; treasurechest.com)3. Boomtown Casino (4132 Peters Road., Harvey, 504-366-7711; boomtownneworleans.com) Best Drag Performer1. Debbie with a D (Instagram: @debbiewithad)2. Katrina Waters (Instagram: @katrinawaters504)3. Laveau Contraire (Instagram: @laveaucontraire) Best Festival (that's still around)1. New Orleans Jazz & Heritage Festival (nojazzfest.com)2. French Quarter Festival (frenchquarterfest.org)3. Hogs For The Cause (hogsfest.org) Best Food Festival1. New Orleans Fried Chicken Festival (friedchickenfestival.com)2. Oak Street Po-Boy Festival (poboyfest.com)3. New Orleans Jazz & Heritage Festival (nojazzfest.com) Tipitina's Photo by Sophia Germer / The Times-Picayune Best Live Music Venue1. Tipitina’s (501 Napoleon Ave., 504-895-8477; tipitinas.com)2. The Broadside (600 N Broad St., 504-766-0871; broadsidenola.com)3. The Fillmore (6 Canal St., 504-881-1555; thefillmorenola.com) Best Live Music Club1. Maple Leaf Bar (8316 Oak St., 504-866-9359; mapleleafbar.com)2. Snug Harbor Jazz Bistro (626 Frenchmen St., 504-949-0696; snugjazz.com)3. Chickie Wah Wah (2828 Canal St., 504-541-2050; chickiewahwah.com)3. Blue Nile (532 Frenchmen St., 504-766-6193; bluenilelive.com) Best Local Blues Artist/Band1. Little Freddie King (littlefreddieking.com)2. Samantha Fish (samanthafish.com)3. Tab Benoit (tabbenoit.com) Best Local Brass Band1. Rebirth Brass Band (rebirthbrassband.com)2. Hot 8 Brass Band (hot8brassband.com)3. The Soul Rebels (thesoulrebels.com) Best Local DJ1. Paul Lakeway (Instagram: @paul_lakeway)2. DJ Soul Sister (Instagram: @djsoulsister)3. ANTWIGADEE! (Instagram: @antwigadee) Best Local Funk Band1. Dumpstaphunk (dumpstaphunk.com)2. Galactic (galacticfunk.com)3. Big Sam's Funky Nation (bigsamsfunkynation.com) Kaye the Beast Provided Photo by Catherine Debuys Best Local Hip-Hop Group/Artist1. Kaye the Beast (Instagram: @kayethebeast)2. La Reezy (Instagram: @lareezymusic)3. Pell (Instagram: @pellyeah) Best Local Movie Theater1. The Broad Theater (636 N. Broad St., 504-218-1008; thebroadtheater.com)2. The Prytania (5339 Prytania St., 504-891-2787; theprytania.com) googletag.cmd.push(function() { googletag.display('ad-1492297'); }); 3. The Prytania Theatre at Canal Place (333 Canal St., 3rd floor, 504-290-2658; theprytania.com) Best Local Music Artist/Band1. Robin Barnes & The Fiya Birds (robinbarnesmusic.com)2. Trombone Shorty (tromboneshorty.com)3. Sweet Crude (sweetcrudeband.com) Best Local Rock Band1. The Revivalists (therevivalists.com)2. Better Than Ezra (betterthanezra.com)3. Cowboy Mouth (cowboymouth.com) Best Wedding Band/ DJ1. The Mixed Nuts (themixednuts.com)2. Bucktown All-Stars (bucktownallstars.com)3. Warm Advice (warmadvice.com) Doreen Ketchens Provided photo Best Local Street Performer1. Doreen Ketchens (doreensjazz.org)2. Jourdan Blue (Instagram: @jourblue)3. Sariyah Idan (ariyahidan.com) Best Local Theater Company1. The Tennessee Williams Theatre Company of New Orleans (504-264-2580; twtheatrenola.com)2. Le Petit Theatre (616 St. Peter St., 504-522-2081; lepetittheatre.com)3. The NOLA Project (504-302-9117; nolaproject.com) Best Local Traditional Jazz Group/Artist1. Preservation Hall Jazz Band (preservationhalljazzband.com)2. Kermit Ruffins (@ruffinsbbq)3. Trombone Shorty (tromboneshorty.com) Best Marching Band1. St. Augustine High School Marching 100 (Instagram: @staugmarching100)2. Edna Karr High School Marching Band (Instagram: @theofficialkarrband)3. The Roots of Music Marching Crusaders (therootsofmusic.org) Best Mardi Gras Parade1. Muses (kreweofmuses.org)2. Iris (kreweofiris.org)3. Endymion (endymion.org) 610 Stompers Photo by Chris Granger / The Times-Picayune Best Mardi Gras Dance Krewe1. 610 Stompers (610stompers.com)2. Amelia EarHawts (aecabinkrewe.com)3. The Jamettes (Instagram: @thejametteskrewe) Best Place to See Burlesque/Drag1. The AllWays Lounge & Cabaret (2240 St. Claude Ave., 504-218-5778; theallwayslounge.net)2. The Original Nite Cap (1300 St. Bernard Ave., 2nd floor, 504-224-2854; Instagram: @originalnitecap)3. The Country Club (634 Louisa St., 504-945-0742; thecountryclubneworleans.com) Best Place to See Comedy1. Sports Drink (1042 Toledano St.; sportsdrink.org)2. The Howlin' Wolf (907 S. Peters St., 504-529-5844; thehowlinwolf.com)3. Big Couch New Orleans (1045 Desire St.; bigcouchnola.com) Best Local Comedian1. Ryan Rogers (ryanrogerscomedy.com)2. Mark Normand (marknormandcomedy.com)3. Cyrus Cooper (Instagram: @cyrusjcooper) Best Strip Club1. The Penthouse Club (727 Iberville St., 504-524-4354; penthouseclubneworleans.com)2. Rick’s Cabaret (315 Bourbon St., 504-524-4222; rickscabaretneworleans.com)3. Larry Flynt's Hustler Club (225 Bourbon St., 504-524-0010; neworleanshustlerclub.com) Best Performing Arts Center1. Jefferson Performing Arts Center (6400 Airline Dr., 504-731-4700; jeffersonpac.com)2. Saenger Theatre (1111 Canal St., 504-525-1052; saengertheatreneworleans.com)3. Mahalia Jackson Theater for the Performing Arts (1419 Basin St., 504-525-1052; mahaliajacksontheater.com) .donate-gambit-article-module-container { text-align: center; padding: 10px; /* background-color: #24da6d; */ background-color: rgb(153, 0, 0); margin-bottom: 20px; } .donate-gambit-article-module-title { font-weight: bold; color: #fff; } .donate-gambit-article-module-copy { color: #fff !important; font-size: 16px; } .donate-gambit-article-module-button { background-color: black; width: 50%; border-color: black; font-size: 16px; } .donate-gambit-article-module-button:hover { background-color: black; } @media only screen and (max-width: 600px) { .donate-gambit-article-module-button { font-size: 14px; width: 100%; } .donate-gambit-article-module-copy { font-size: 14px; } } BECOME A GAMBIT MEMBER AND JOIN OUR KREWE TODAY For more than 40 years, Gambit has covered New Orleans, for New Orleans. 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Using Claude Science to produce the first complete map of the sky in UV light
Claude Science helped produce the first complete map of the sky in UV light
Anthropic Commits $150M To AI Science Mission
Anthropic is committing $150 million over three years to the federal government’s Genesis Mission, expanding access to its Claude AI models.
Dragon Quest Creator Yuji Horii Thinks AI Is Amazing As He No Longer Needs To Code Or Draw To Make A Game
The director has released his own Claude-driven adventure having spent months praising the technology
I ran Anthropic's IPO filing through an AI detector
Is it bad if Anthropic didn't rely heavily on Claude to write its IPO paperwork — or is this an example of when the stakes are too high to rely on AI?
Claude's new smart reports tell bosses when workers are 'off-topic'
Managers can now ask AI to read workers' Claude chats and match it to their output.
Election 2026: Richmond mayoral race pits veteran against political scion
Claudia Jimenez, Ahmad Anderson will face off in November
Nature weaves through Claudia Castro Luna’s new memoir
Seattle writer and poet Claudia Castro Luna traces her life as a child in El Salvador to a young mother in Oakland, Calif., and the beauty and horror in between.
Oblivion Remastered Mod Built Using Claude AI Boosts FPS By Over 40% And Drastically Reduces Stuttering Without Sacrificing Visual Quality.
AI-assisted mod Oblivion Remastered Performance Fix boosts FPS by over 40% while enhancing visuals on Ryzen 7 5800X/RX 9070 XT systems.
Vibe-Coded Mashup Mods Have Taken Over X This Week, And They Threaten to Completely Change the Modding Scene
I have spent the last three days scrolling through some of the most insane mod videos I've ever seen. Modders are taking games that have been decompiled with Claude, and mashing them up with other games. As the week has gone on, there have only been more clips of these mods pouring out on X/Twitter.
Hackers hide dangerous fake AI downloads behind Google ads
A fake Claude AI download scam uses Google ads and Bing redirects to trick Mac users into pasting a hidden malicious command in their Terminal.
Anthropic's public S-1 sets stage for massive IPO debut
Anthropic, the company behind Claude, filed its public S-1 paperwork, setting the stage for an enormous IPO and shedding light on its finances.
More healthcare workers needed in Hampton Roads
HAMPTON ROADS, Va. (WAVY) — Claude Moore Opportunities (CMO), a Virginia healthcare workforce nonprofit, released data in Sept. about the need for more healthcare workers across Hampton Roads and E…
How I used AI to automate part of my wealth advisor job
Rick Nott has used AI to save hundreds of tedious hours uploading documents for his clients. Here's why he's not worried about Claude taking over.
S&T launches glass science lecture series honoring Delbert Day
Dr. Claudio Mazzali, vice president of global research at Corning Inc., speaking at the inaugural Delbert E. Day Lecture on Glass Science and Technology on Oct. 15 at the Innovation Lab atrium. Photo by Peter Ehrhard. Missouri S&T launched a new lecture series honoring a longtime university researcher whose research in specialty glass has helped...Continue Reading S&T launches glass science lecture series honoring Delbert Day
Business Tech News: 86% Of Solopreneurs Try AI Before Hiring
SurveyMonkey, Autodesk, Claude, QuickBooks and FreshBooks roll out new AI, security and support tools aimed at helping small businesses work smarter.
BizTrip AI Brings Business Travel Booking Directly Into Claude and ChatGPT
SAN FRANCISCO, September 23, 2026--BizTrip AI, makers of agentic AI for corporate travel management, today announced that its core trip-planning and booking experience is now available natively inside both Claude and ChatGPT. The integration uses the Model Context Protocol (MCP) — specifically MCP "apps," which support rich, interactive rendering directly in a chat conversation — allowing travelers to search, compare, and book business travel without switching to a separate app or website.
Anthropic Is Aiming To Transform Healthcare—Here’s How
Anthropic is pushing Claude into prior authorization, medical records, drug discovery and global health. A physician explains what it means for doctors and patients.
'This is what happened with Claude and me': AI's failed attempt to crack the Riemann hypothesis led mathematician to a breakthrough
An attempt by Anthropic's Claude failed to prove the Riemann hypothesis, but it did produce something genuinely useful: inspiration.
Anthropic’s business plan: Build God or die trying
Anthropic faces intense competitive pressure and huge fixed costs. Can Claude build itself fast enough to succeed?
Election 2026: Richmond mayoral race pits veteran against political scion
Claudia Jimenez, Ahmad Anderson will face off in November
Claude helped a scientist plan potentially risky bird flu research
Anthropic says Claude helped a scientist plan potentially risky bird flu research, a case that highlights questions about AI’s growing role in biology.
Anthropic releases IPO filing ahead of highly-anticipated stock debut
The offering could value the Claude AI developer at more than $2 trillion.
Modders are furious as Claude-powered mashup mods flood social media
A wave of AI-decompiled mashup mods has taken over X/Twitter this week.
Claude Code relaunches Projects to manage multiple AI agents in the cloud
Claude Code can run teams of AI agents in one spot now.
Small business supports "orphaned" solar panel owners with Claude
When solar panel installers go out of business, homeowners can be left "orphaned" with loan payments due and no clear path to repairs for their panels.
Trump unveils new site to simplify access to government services
America.gov for now functions like a chatbot comparable to ChatGPT or Claude, pointing users to official gov't websites.
People Are Vibe Coding the Ads Out of Their Smart TVs: Here's How
A viral Claude Code prompt lets Android smart TV owners switch off sponsored rows and tracking software and build their own home screens.
Medicare home health bill introduced that would restore rates, help stop fraud
Rep. Claudia Tenney (R-NY) on Tuesday introduced the Medicare Home Health Payment Integrity and Protection Act of 2026, a companion bill to the Senate version.
Anthropic just launched tools to show companies what their AI spending is buying
The frontier lab is lifting the curtain on how users spend money on its models ahead of a planned IPO.
The legendary Hi-Ho Lounge will return to St. Claude Avenue following closure of No Dice
A soft opening is already planned this month. Here’s everything you need to know.
Claude launches Google Docs, Sheets, and Slides integration with sidebar and more
If Gemini isn’t quite your cup of tea, Anthropic’s Claude now supports sidebar integration with Google Docs, Sheets, and Slides....
AI Makes "Open-Source, Clean Room" Implementations Of Adobe Photoshop & Premier In Rust
As an interesting demonstrator for the power of AI and potentially pressing legal challenges, Claude Code and AI agents have created 'open-source, clean-room reimplementation' versions of Adobe Photoshop, Adobe Premier, and Adobe Lightroom
Linus Torvalds "Did What I Preach", Used AI To Make Code Decipherable & Uncovered More Bugs
After using Claude Code to draft code to help make a fundamental improvement to the Linux kernel, Linux creator Linus Torvalds continued using AI this weekend and talking up its benefits
Dealroom.co | Anthropic pours A$10M more into Australian science, lifting total to A$13M
What's the deal? Anthropic is adding A$10 million in Claude API…
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
Workday and Anthropic Announce New Partnership to Connect Reasoning to the Rules That Run the Business, Wherever People Choose to Work
People Can Find Workday Information, Take Action, and Approve Work Through Sana Agents in Claude – Workday's Permissions and Business Rules Apply to Every Request, and the User Confirms Every Change
Verisk adds insurance data to Microsoft, Amazon AI platforms
Verisk said Wednesday it is expanding access to its insurance data through new integrations with Microsoft Copilot and Amazon Quick and adding more data resources to Anthropic’s Claude.
This Ford exec's family Claude agent is on a PIP
Whitney Stefko Dover built a family chief of staff with Anthropic's Claude. The agent, named Claudette, has fresh competition for her job.
Tech News This Week: Muse Takes On Small Business And McDonalds Leans Into AI
Meta expands Muse to small business, OpenAI adds more plugins, McDonalds leans into AI and more training for Claude.
US court upholds Pentagon’s blacklisting of Anthropic
Conflict began in February when Anthropic refused to remove restrictions on use of Claude for fully autonomous weapons.
Vibe-Coders Have Come For Nintendo, Which Won't End Well
Claude-assisted ports of Nintendo games have started popping up online, which surely won't upset the famously litigious Nintendo
Rust upstart reveals 'reimplementation' of Microsoft Office – with Claude on coding duty
ArtCraft adds Word, Excel, and PowerPoint lookalikes to its open source lineup, but they're not ready for production
I didn't believe this Claude wizardry could actually speed up my Google TV until I tried it
One prompt, less bloat, and barely any effort
Cuauhtémoc Cárdenas, historic Mexican politician and former presidential candidate, dies at 92
MEXICO CITY (AP) — Cuauhtémoc Cárdenas, a three-time presidential candidate and one of Mexico’s most important modern political voices, died Wednesday at 92, Mexican President Claudia Sheinba…
Who Controls the Technology Protecting Your Business?
Cybersecurity sovereignty gives organizations transparency, hybrid control, and resilience over critical systems, writes Claudio Martinelli.
Anthropic's IPO Filing Shows Staggering Revenue Growth, Huge Losses
Anthropic IPO S-1 is published, a major step toward a public offering that could value the company at $2 trillion.
I Tested Every Major AI Agent for a Day. Here’s the Best One
I ranked six AI agents—from Meta’s Muse to Anthropic’s Claude Duet—on how well they completed basic tasks.
Lean TECHniques reaches Select Partner Status in Claude Partner Network
Lean TECHniques, a Midwest-based software and technology consultant, has received Select Partner Status in the Claude Partner Network. Select status is the second of four tiers in the partner network and requires having a bench of Claude-certified practitioners, delivering proven use cases for clients on Claude and proving that work through customer stories and references,…
'This Matters': Researchers Identify Thousands of New Tells in AI Writing
The days of freaking out over em dashes are over.
Smart TV owners have found a new use for AI: Removing home-screen clutter
Some TV owners are asking Claude Code to clear out the junk so they can just watch their shows.
Anthropic Reportedly Delays IPO; OpenAI Expects Massive Cash Burn
AI startup Anthropic is now targeting a November IPO, the Wall Street Journal reported.
Claudette Barreto Lopez, M.D., Joins Baptist Health Primary Care as a Family Medicine Physician
Septmeber 8, 2026 – Family medicine physician Claudette Barreto Lopez, M.D., has joined Baptist Health Primary Care. Dr. Barreto Lopez provides comprehensive primary care with an emphasis on preventive medicine and health maintenance. Her clinical interests include women’s health, nutrition and lifestyle medicine, and she works with patients to incorporate sustainable lifestyle changes that support […]
Scientists May Have Found a Lost Roman City—and It Could Solve an Ancient Mystery
Ptolemy’s coordinates point to Claudivium. But why did its people walk away from a thriving city?
Anthropic says Claude found a new gene-editing enzyme but science isn't confirmed
Anthropic says Claude agents autonomously flagged a CRISPR-like enzyme system in virus DNA in a 21-hour run. A CRISPR pioneer calls it intriguing, others sceptical — it's an unreviewed preprint with function unknown.
Anthropic AI agent uses human scientists as tools, emails 1,500 without instructions
ColonistOne, built on Claude Opus, autonomously contacted researchers to troubleshoot bugs and seek methods, raising concerns over academic spam and AI autonomy
Our Claude is an awesome Claude
The utopian and apocalyptic religiosity of Anthropic's S-1.
Citrini Research is backing life sciences stocks after using Claude to design proteins
The firm designed 211 proteins with Claude for lab testing; 17 bound to scorpion toxins, but blocking effects are untested
Cárdenas, historic Mexican politician, dies at 92
MEXICO CITY -- Cuauhtémoc Cárdenas, a three-time presidential candidate and one of Mexico's most important modern political voices, died Wednesday at 92, said Mexican President Claudia Sheinbaum.
‘Good versus evil’: How La Derecha Diario portrays politics in the United States and Latin America
By Samedi AguirreWhat do former Colombian senator Iván Cepeda and Mexican President Claudia Sheinbaum have in common? According…
Ubisoft plans cuts at German studios, adding to wave of workforce reductions
Ubisoft is planning to reduce its workforce in Germany, where it operates a trio of studios, by about 100 workers, Game File has learned. The company wants to offer employees buyouts to, should enough people accept, avoid having to lay anyone off. “In Germany, we initiated discussions with the Works Council last week regarding a proposed voluntary departure plan across Ubisoft Dusseldorf, Ubisoft Berlin & Ubisoft Mainz,” a company rep told Game File. A “works council” is a union-like group representing employees. “The voluntary plan is the primary measure being proposed to support the intended organizational changes,” the Ubisoft rep added. The company declined to confirm the scale of the potential headcount cut. Of the impacted studios, Mainz might be the best known to the public. It leads development of the Anno series and shipped the well-reviewed strategy game Anno 117: Pax Romana in November 2025. Berlin and Dusseldorf operate as support studios within Ubisoft’s creative network. Berlin recently supported the development of Rainbow Six Siege and the Rayman Legends Retold remake. Dusseldorf also contributed to those projects, as well as The Settlers and Ubisoft-branded escape rooms. Dusseldorf is the biggest of the three studios, with some 400+ workers, compared to just over 100 at the other two, a source familiar with the reductions and the teams told Game File. More than half of these new reductions of about 100 people are expected to happen at Dusseldorf. The planned cuts were announced at a town hall for the German studios on Tuesday of last week. In an email follow-up, the studio group’s managing director, Benedikt Grindel, said the cuts were intended to “best position our German studios for the future... with a clearer focus on their role, capabilities and organizational setup needed for the work ahead.” The email was an echo of the past. In January 2025, Grindel had emailed the Ubisoft developers in his region (or studio “zone”) to explain that a round of 185 cuts at the time, including about 65 at Dusseldorf, were “essential to improve our operational efficiency and ensure the long-term sustainability of our studios, the zone and the company.” A half-decade of continued job cuts Ubisoft has been aggressively cutting its headcount for years. At the end of September 2022, it had 20,729 workers. By the end of March 2026, that total was down to 16,590. Studio management is trying to trim costs as it grapples with a changing industry and a drought of releases, let alone hits. The company announced earlier this year that it had reduced its costs since 2022 by “nearly €325 million” ($362m) and planned to lower them through 2028 by another €180 million ($200m). In June the company said it was closing down its Winnipeg and Belgrade studios and cutting roles in its Barcelona team. Even commercial and creative success hasn’t spared studios from this ongoing company-wide contraction. As Game File was nailing down details around the proposed cuts in Germany, Ubisoft management was informing workers of cuts in its Singapore studio, which shipped a hit remake of Assassin’s Creed IV: Black Flag this past July. Some 70 positions in Singapore are being eliminated “to align the studio with upcoming production needs,” per a company rep’s statement to Game File. In early 2024, a large team in the Singapore studio launched the multiplayer pirate game Skull & Bones. It performed poorly but has been supported with regular content updates since. Many of Ubisoft’s studios around the world are heavily subsidized via regional grants and tax breaks. Singapore had been among them for years, but received no such local assistance in the 12 months ending this past March. News of the Singapore cuts broke today alongside word that Ubisoft is also proposing the closure of RedLynx, pending negotiations with officials. The Finnish studio behind the motorbike series Trials was founded in 2000 and sold to Ubisoft in 2011. As reported by VGC (and corroborated by Game File), Ubisoft management told employees it could not come up with a new, sustainable assignment for RedLynx. The 2025 workforce at Ubisoft Dusseldorf were straight-up cuts. This time, Ubisoft is hoping the reductions at its trio of German studios will largely come from workers taking a payout to leave. The company offered such voluntary dismissals at its Massive Entertainment studio (The Division) a year ago. For the German studios’ buyouts this time around, Ubisoft and the Works Council had discussed a formula that’d pay a worker’s monthly salary multiplied by 1.5 and by the number of years they’ve worked at the company, according to Game File sources. The formula is still subject to negotiations with the Works Council and has not yet been part of an official offer to workers. It could be adjusted up or down, and it could be supplemented with additional bonuses. Asked about the floated payout formula, a Ubisoft rep told Game File, “The terms of a potential voluntary departure program remain subject to negotiation with employee representatives. No final agreement has been reached, and we won’t comment on specific proposals while discussions are ongoing.” 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: Epic’s AI adventures Epic Games (Fortnite, the Unreal engine) is all-in on using AI to try to transform the way it makes video games and game-making tools. It’s leaders appear to be undeterred by any resistance among gamers and some game developers around generative AI—and instead emboldened by advances, particularly in AI-assisted programming. A recap of the last three days: On Monday, Bloomberg reported that Epic management told workers last week that development of an upcoming game combining Star Wars and Marvel characters would be “AI first.” Employees would be expected to use AI models such as Claude to code the game. A manager told Epic’s developers there would be “[n]o more hand-written code” and that art for the game would be “generated with full AI workflows,” per the outlet. Just ahead of that story running, Epic founder Tim Sweeney tweeted: “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration. The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” In a follow-up, Sweeney predicted that most game development processes would be at least three times faster a year from now than they were in January 2026, thanks to AI. To a person on X who told him he was failing to read the room, Sweeney said: “Much of the room wants it to be 2016 again, but it’s not. Our job, as the provider of tools and technology to much of the industry, is to design for the present that is and the future that will soon be.” On Wednesday, Epic announced it was releasing a faster launcher for its Epic Games Store marketplace. It did so by stating in a blog post as clear as could be that the launcher is an AI-enabled, vibe-coded project: Programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look. Programming is hard? That was unexpected phrasing from a company founded by a legendarily great programmer. Back in 2011, Sweeney told me that he’d picked up programming quickly as a kid and rejoiced at the power it gave him. “I could look at any program that anybody else had written and, with enough effort, build something cooler.” Item 3: The Xbox Labs experiment (and one of the people behind it) Microsoft’s Xbox division, which is flooding the zone with announcements lately, yesterday revealed a new internal tech-tinkering team called Xbox Labs. In the words of Xbox boss Asha Sharma Labs is “a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience.” Conventional wisdom coming out of the announcement is that Labs is a team that’ll focus on ideas driven by generative AI. In her announcement, Sharma cited some of the dizzying achievements in tech and gaming over the past month as AI agents and other AI tools have been deployed to swiftly figure out how popular games work, then rebuild them and mix them up. She mentioned seeing ”games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support” and said “[p]erhaps more surprisingly, we’ve seen many of the biggest games in the world have been remixed into the source code of another.” (Minecraft plus Elden Ring, for example, or Fortnite + Super Monkey Ball + Overwatch + Diablo + others.) Sharma also cited the work of Windows PC games being ported to run in browsers, a seeming reference to a recent AI-assisted fan port of Halo. Or perhaps Call of Duty or GTA. Sharma didn’t use the specific term “AI” in her memo, but she came close, citing AI “agents” and their potential for game-making tools that Labs could help craft: I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We’ve spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. When I asked an Xbox rep if Labs was an AI-centric team, they said genAI was not the focus, describing it as having a broader mandate for using new tech in new ways in gaming. As an example, they pointed to Xbox’s recently launched disc-to-digital gaming usage rights program. Microsoft didn’t specifically name anyone involved full-time in Xbox Labs yesterday, but on social media and LinkedIn, I spotted Adrian Mato IDing himself as leading the creatio of tools at Labs and talking up the launch. Mato first caught my attention in late September, when he said on X that he was “starting to build a new team at Xbox focused on products and tools for how games get built and distributed as agentic tools become more capable.” At the time, he framed AI-based tools as a supplement to traditional game dev tools. “I don’t think we need to replace them,” he said. Since then, he’s publicly shown interest in AI and in games. He’s recently spent some of his X feed marveling at the power of AI agents and praising the lighting in the latest Gears of War. Following the Labs announcement yesterday, he enthused about the Xbox Labs’ stylish landing page. He wrote: “We built some fun tools to art-direct shaders in real time, experimented with interactive ASCII art, and sprinkled in lots of tiny details. “Move your mouse to leave a colorful trail that reveals the original footage, or interact with the video to trigger bursts of particles. “A lot of love went into making it all feel just right. “More to come”
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