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Lions coach Campbell pleased with versatility of the secondary
With training camp wrapping up on Thursday, Detroit Lions coach Dan Campbell said he loves the versatility of the secondary. There are some candidates there,’’ Campbell said on Thursday. Injuries to safeties Brian Branch and Kerby Joseph, who remain on the physically unable to perform list, opened up the competition.
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
Arsenal 2-1 Chelsea, Premier League: Post-match reaction, ratings
Chelsea unable to best the defending champions
Tony Pollard unable to practice Wednesday
Titans RB Tony Pollard misses first practice for week
Dallas Goedert unable to practice Friday
Eagles TE Dallas Goedert misses practice and is not expected to play
AZ's R&D chief Barr touts internal 'science success story' after IL-33 antibody's stellar showing in COPD
With a detailed data drop that AstraZeneca’s R&D chief described as an internal “science success story,” the British Big Pharma has secured an FDA priority review for what it believes could become a flagship biologic in chronic obstructive pulmonary disease (COPD). In detailed results from the late-stage Oberon and Titania trials—first teased in March and detailed in full at the European Respiratory Society Congress in Barcelona this week—the drugmaker laid out the extent of its IL-33 inhibitor’s potential to reduce moderate and severe exacerbations in a wide range of COPD patients still struggling with those “lung attacks,” as AstraZeneca’s Sharon Barr, Ph.D., called them, despite using standard-care inhaled therapy. In the headline results, a 300 mg dose of tozorakimab given once every four weeks curbed those moderate and severe exacerbations in the studies’ primary population of former smokers by 29% in the Oberon study and 34% in Titania. In the overall population of both current and former smokers, these reductions were 30% and 29%, respectively, versus placebo and inhaled standard of care. The benefits also extended to clinically meaningful exacerbation reductions in all prespecified patient subgroups and specifically turned up promising signals in patients across a range of blood eosinophil counts, with Barr telling Fierce that “it’s the details that make this even more exciting than the high-level results that we’ve already shared.” In fact, during AZ’s tozorakimab poster presentation at the ERS 2026 Congress this past weekend, attendees were so enamored by the data that event organizers had to encourage people to clear the room and look at the other presentations on offer, Barr said in an interview. “I think it really speaks to the fact that there is a lot of buzz around these data because the entire respiratory community has been so desperate for new therapies for these patients,” she explained. The respiratory disease continues to represent a “staggering unmet medical need,” Barr said, highlighting the COPD exacerbations that the Oberon and Titania studies homed in on, which she added carry a greater mortality risk than a heart attack. “When a patient has a severe exacerbation, only about half of them are still alive within three and a half years,” she pointed out. As for tozorakimab specifically, Barr christened the molecule “an AstraZeneca science success story,” harkening several years back to the point at which researchers began to explore IL-33 as a driver of respiratory disease, and COPD in particular. At the same time, “there was still so much that wasn’t understood,” she admitted, highlighting the insight that IL-33 signals through both ST2 and EGFR through the RAGE pathway, a discovery Barr attributed to AstraZeneca's own scientists. Understanding the need to tackle both pathways in COPD—and aware of competitor candidates in the hopper, including one that bound ST2—the company ultimately had to make some “courageous decisions,” Barr said. These included taking a prior COPD molecule offline and going back to the drawing board to reinvent its potential IL-33 label “to make sure that we had a molecule that could block signaling through both arms of the pathway, through both the reduced form and the oxidized form, knowing that we wouldn’t be first, but striving to be best.” “When we put [tozorakimab] into the clinic, we firmly believed that we had a differentiated molecule, and we saw the other molecules blocking just ST2 or partially blocking IL-33, unable to deliver two positive pivotal studies in COPD,” Barr explained. “We kept marching forward because we believed our molecule was differentiated, and now I think we have the clinical validation that supports that.” Ultimately, AstraZeneca finds itself on much better footing these days when it comes to potential biologic rivals to tozorakimab in COPD. Sanofi and Regeneron’s Dupixent, for instance, is approved to treat COPD exacerbations in patients with high eosinophil counts, but not low ones. Meanwhile, the future has become cloudier for other next-gen IL-33 candidates from Sanofi and Regeneron, as well as Roche, which have suffered trial flops in recent years. One other potential ingredient for AstraZeneca’s success in its duo of studies was that the company was “ambitious in the trial design, willing to look at an all-comers population,” Barr said, “and willing to enroll the most severe patients.” Prior studies for would-be biologics rivals in COPD “avoided enrolling” those patients, she pointed out. She also highlighted the Big Pharma’s painstaking design of exacerbations in its trial, which “gave us a very rigorous readout,” and pointed to “the extra effort and investment” the company put in to understand the effect of mucus plugs in patients. Barr described mucus production as a “key feature in disease diversity,” noting that mucus plugs—obstructing clumps of mucus that block patients’ airways—are associated with worse outcomes in COPD. In its data announcement, AstraZeneca noted that an integrated analysis of Oberon and Titania found tozorakimab “demonstrated a reduction in patients’ mucus plug score,” with the pharma claiming its biologic is the first to deliver such results in a broad COPD population. “So being able to reduce those mucus plugs, we expect, is an important part of driving benefit for patients who are living with COPD,” Barr said. Again touching on the breadth of the study populations, Barr added that tozorakimab “worked across all eosinophil levels in both current and former smokers across all levels of lung function,” which she suggested “really simplifies decision-making for clinicians, and it allows them to offer therapy to the broadest possible patient population.” In the highest patient eosinophil count group, tozorakimab helped chart a 43% reduction in exacerbation risk, which Barr stressed were “unprecedented data.” In the mid-level group, AZ’s drug delivered a 23% reduction and, in the lowest group, a 34% reduction in eosinophils, which Barr said suggests efficacy “in all patient subgroups.” As for AZ’s recent guidance upgrade on the medicine’s sales opportunity, the lift from a $3 billion to $5 billion range to $5 billion plus was informed by multiple factors, Barr said, including the fact that “in 2024, there were multiple competitors, and there aren’t anymore.” Additionally, “we know that this is a massive unmet medical need, and this is a really incredible set of data that we think will be very convincing to the clinical community,” Barr said. Looking ahead to a potential evolution of the COPD treatment landscape, Barr noted that most patients start treatment in the community with an option like a triple therapy, and for them, having an option like AstraZeneca’s inhaler Breztri will remain a “really important part” of that journey. But of the patients uncontrolled on triple therapy, which Barr described as “about half of them today,” just a “small fraction” are currently eligible for biologic therapy, which she emphasized AstraZeneca is working to change. Understanding that COPD is not a “one-size-fits-all” disease, AstraZeneca is also looking at its antibody drug Tezspire for patients with T2-driven disease, and the company continues to think about new mechanisms for tackling COPD through both systemic and inhaled drugs, Barr said.
The Cost of Cutting American Science: How Federal Cuts Diminish Public Health Capacity
Among the federal government’s many responsibilities is the work it does to protect public health. Federal agencies monitor our food supply to ensure safety, conduct research to better understand emerging health threats, provide funding for public health programs in communities and work to detect and respond to disease outbreaks. Americans rely on these efforts every day—in a 2024 online survey, 74% of respondents said that “if the federal government issued safety guidance about food you eat regularly,” they would follow it. Changes to Federal Public Health Capacity The Trump administration’s efforts to reshape the federal government have resulted in significant impacts on our nation’s public health capacity over the past 20 months, affecting the response to health concerns such as measles, Ebola and cyclosporiasis. Agencies with core public health, food safety and disease prevention responsibilities experienced large workforce decreases during the first year of the administration. At the Centers for Disease Control and Prevention, for instance, the workforce in February 2026 was 26.7% smaller than in September 2024 before the start of the Trump administration. The Food and Drug Administration saw a similarly steep decline of 21.6%. Agencies such as the National Institutes of Health, Substance Abuse and Mental Health Services Administration and Food Safety and Inspection Service also experienced large workforce decreases. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); Changes can also be seen in crucial public health occupations. The number of federal food inspectors, for example, decreased by more than half between September 2024 and February 2026, going from 1,035 to 473. This is the lowest number of food inspectors employed by the federal government since at least 2005. By February 2026, there were also 33.3% fewer federal public health program specialists, whose work includes advising federal funding recipients on public health activities and analyzing the effectiveness of public health programs. Government’s capacity is diminished as employees with specialized knowledge and experience in protecting the public and responding to health risks depart, leaving agencies less prepared to carry out their public health missions. There also have been vacancies in critical high-level leadership positions at public health agencies, most notably at the CDC, which had a permanent Senate-confirmed director for less than a month between January 2025 and early August 2026. Although the CDC has previously been led by acting directors at the start of an administration, the nearly yearlong gap since the departure of the administration’s first permanent director in August 2025 is without precedent. As of August 2026, the FDA is also currently without a Senate-confirmed commissioner following the previous commissioner’s resignation in May 2026. Additionally, public health agencies are experiencing increased politicization of their leadership ranks. In agencies such as the CDC and Food Safety and Inspection Service, the number of individuals in the Senior Executive Service—the most senior career leaders in government—has declined significantly, while at the same time the number of political appointees has reached record levels. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); At the CDC, for example, the number of career SES decreased 42.9% between December 2024 and February 2026, while the number of non-Senate confirmed political appointees at the agency was six times larger than the agency’s historical average from 2009 and 2024. Knowledgeable career leaders are integral to the ability of public health agencies to carry out their work with scientific integrity and professional judgment, and rapid leadership turnover and increased politicization threaten agencies’ ability to make evidence-based decisions to protect our health. The upheaval and politicization in public health agencies have also negatively affected employee engagement. Strong employee engagement is crucial to the ability of agencies to carry out their mission and successfully provide essential services to the public. In the 2025 Public Service Viewpoint Survey conducted by the Partnership for Public Service, the Department of Health and Human Services—which encompasses major public health agencies such as the CDC and FDA—had an employee engagement and satisfaction score of 20.4 out of 100, one of the lowest among large agencies. Only 2.8% of HHS employees indicated trust in their political leaders and only 8.7% reported confidence that they could report a suspected violation of law or regulation without retaliation. Employees at HHS also reported that the agency’s ability to provide services to the public had suffered. Nearly half of employees at HHS, 47.5%, said their work unit was worse at delivering quality services compared to its performance in 2024. In addition, 57.8% said their work unit was performing worse at fulfilling stakeholder needs. In addition to the work done within federal agencies, the federal government also distributes significant funding for public health and disease prevention work to state and local governments, nonprofits and small businesses—funding which has been significantly disrupted. At the CDC, for example, there was a 71.9% decrease in the amount of project grant funding issued in fiscal year 2025 compared to fiscal year 2024. The FDA also issued far less funding in fiscal year 2025—a 21.3% decrease from its fiscal year 2024 funding. Changes in federal funding include the ending of grants to community organizations that worked on HIV prevention and the cancellation of funding for research into improvements to patient safety and healthcare quality. These changes go beyond federal agencies to impact the broader public health ecosystem, including the state and local health departments responsible for much of the on-the-ground public health work in their communities. About 80% of the CDC’s domestic funding is directed towards state and local partners—meaning that cuts to CDC funding can ultimately result in cuts to state and local public health capacity. Federal agencies also provide expertise and assistance to state and local health agencies as they deal with particular health challenges, but workforce cuts have resulted in fewer federal employees available to help. The Impact of Changes to Public Health Capacity These changes to federal public health capacity are not abstract concerns. Disrupted programs, reduced funding and lost expertise at public health agencies across all levels of government threaten the public’s physical well-being and safety. In some cases, this has already led to harm. The most immediate impacts of federal cuts were seen in interruptions to ongoing public health programs and crisis responses. In one instance, when CDC grants were canceled during the 2025 Texas measles outbreak—the most severe measles outbreak in 25 years—public health officials in Lubbock, Texas were forced to pause parts of their measles response work supported by the frozen funding. Lubbock’s director of public health further said that a lack of available CDC experts to reach out to for advice “definitely” impacted the department’s response to the measles crisis. Cuts to federal funding also forced Dallas County Health and Human Services to cut staff and cancel 50 community vaccination clinics during the outbreak. Public health work outside of major outbreak responses was also disrupted. For example, in April 2025, the Milwaukee Public Health Department was unexpectedly unable to reach experts on lead poisoning due to firings at the CDC when responding to concerns about lead contamination in Milwaukee public schools. Due to federal workforce cuts, several programs at the CDC, including Alzheimer’s and epilepsy programs, have also become trapped in limbo—existing on paper, but without the staff necessary to operate. More recent crises reveal how federal cuts have weakened the public health infrastructure needed to prevent and respond to dangerous new outbreaks. Internationally, cuts at the U.S. Agency for International Development eliminated funding for disease testing and contact tracing abroad, which delayed detection of and responses to the 2026 Ebola outbreak in the Democratic Republic of Congo. While international outbreaks may seem far removed, the unchecked spread of disease in any country can quickly pose a danger to economic well-being, security and health around the world. Within the United States, public health cuts inhibited responses to the summer 2026 outbreak of the food-borne parasite cyclospora. At the federal level, cuts to funding for lab equipment and for CDC staff with expertise in parasitic infections—including 9 out of 11 staff members at the lab responsible for identifying parasitic outbreaks in 2025— contributed to the largest reporting delay in outbreak cases at the CDC in 15 years. Conflicting communications from the FDA about the source of the outbreak, which followed cuts to the agency’s communications department, additionally led to confusion among the public about how to best avoid infection. At the same time, cuts to HHS funding and support for local and state public health slowed some health departments’ responses to the crisis. The exact costs of these delays, constraints and confusion in public health responses are difficult to estimate. However, their message is clear: federal cuts have already made containing threats to public health even more of a challenge. Conclusion Protecting public health—from food safety to disease prevention—is one of the federal government’s most important missions. Dramatic and haphazard cuts to federal agencies and funding have already disrupted the public health system, impacting the response to challenges such as measles, lead poisoning and cyclosporiasis. The U.S. public health system needed improvement before these disruptions. Since 2022, federal leadership and coordination in response to public health outbreaks has been on the Government Accountability Office’s High-Risk List of areas in need of attention to improve government effectiveness and efficiency. Recent cuts only compound these concerns. The chaotic dismantling of government and resulting disruptions to crucial functions like public health and disease prevention highlight the need for meaningful reform and concrete policy proposals to reimagine how government can better serve the public and be more effective, responsive and accountable. To learn more about the impact of federal cuts to public health and science more broadly, visit The Cost of Cutting American Science. Learn more For more information on the Partnership for Public Service’s government reform initiative, visit Government for a New Era. View here In line with The Cost of Cutting American Science, federal workforce data in this brief is as of February 2026
Michigan got $173M to transform rural health. Where is it going?
Rural hospital leaders in Michigan say the federal program is unable to augment day-to-day operations to support frontline medical care, and is instead flowing to programs on the periphery of where the system is experiencing the most strain.
Kenyon Sadiq held off stat sheet in Week 4
Jets TE Kenyon Sadiq unable to catch any of his four targets in Week 4
Pat Bryant not on practice field
Broncos WR Pat Bryant unable to practice after Week 4 injury
Lamar Jackson unable to practice
Baltimore Ravens QB Lamar Jackson misses Wednesday's practice
Billy Joel says he can no longer perform or drive due to health condition
Billy Joel said he has hydrocephalus, a condition affecting his balance, memory, vision and hearing, and that he is unable to perform or drive.
Sad to see clubs can’t run multiple sides
HAVING just read the first round results of local league action it pains me to see that some teams are unable to fulfil their fixtures for whatever reasons. Is this the sign of modern times? People do not want to play or clubs cannot afford to run multiple sides. Back in my days before Leagues, […] The post Sad to see clubs can’t run multiple sides appeared first on The Rugby Paper .
Las Vegas Raiders' Ashton Jeanty suffers apparent injury during practice
Las Vegas Raiders running back Ashton Jeanty had to be helped off the field after apparently being injured late in Sunday's practice and was unable to put pressure on his right leg. The Raiders did not provide a statement on Jeanty's status and there was no indication of when an update would come. Coach Klint Kubiak is not scheduled to speak with reporters until Tuesday.
Blue Jays Get Concerning News on $68 Million Starter
The Toronto Blue Jays are waiting on more clarity regarding Jameson Taillon‘s elbow. Manager John Schneider confirmed before Tuesday’s 4-2 win over the Athletics that Taillon is expected to visit a specialist soon to determine the severity of the issue. Toronto has since dropped the next game of the series to the Athletics 2-0, unable […] The post Blue Jays Get Concerning News on $68 Million Starter appeared first on HEAVY.
🛫Real Madrid ease fears after Mbappé’s trip to Paris
Real Madrid has moved to dispel any hint of controversy, stating that Kylian Mbappé’s trip to the French capital was fully agreed upon between the player and the club. Unable to train or receive tr...
Owner of CT information technology consulting business sentenced for computer intrusion scheme
Federal officials said he remotely disabled a client’s computer network on 21 separate days in 2024, which resulted in the company being unable to conduct business on those days.
Trump really wants to make ‘super intelligence’ happen. Is it going to happen?
Unable to convince Americans to embrace the AI data centers they hate, President Trump is instead exercising the one power he believes is absolute in the presidency: a rebrand.
Girona earns a point in Tenerife
Girona returned from the Canary Islands with a draw that leaves a bittersweet taste. The red-and-whites took an early lead but were unable to maintain their advantage against a Tenerife side that reac...
Hamburg beat Köln for first league win
The game started off slowly with both teams having possession but little chances in the first 10 minutes. Köln dominated the ball in the first fifteen minutes but were unable to do anything with the ...
MLB wild-card rosters: Aaron Judge, Luis Arraez unable to return, Giancarlo Stanton, Garrett Crochet make the cut
U.S. campaign finance watchdog is sitting out the midterms. Here’s what that means.
The Federal Election Commission has been unable to advise campaigns or investigate alleged violations.
Jeremiyah Love unable to practice Wednesday
Cardinals RB Jeremiyah Love misses first practice of week
Ravens downgrade WR Zay Flowers to out against the Saints
Flowers was listed as doubtful on Friday but was unable to practice, which placed him in the downgrade
Cole Kmet exits Week 7 game against New England
Chicago Bears TE Cole Kmet unable to return against Patriots after injuring knee
The Xbox Elite Controller (Series 3) specs might've leaked — here's what's new (and the main thing you'll want to know remains unanswered)
Although I was unable to verify the sources (as they've been removed), users suggest that this leak is most likely legit. The Xbox Elite Controller Series 3 is likely imminent.
DJ Moore leaves Week 4 with another shoulder injury
DJ Moore unable to make it through the first half for the second time in three games in Week 4.
Rashee Rice unable to practice
Kansas City Chiefs WR Rashee Rice remains sidelined Thursday
Cam Lewis leaves MNF game with leg injury
Chicago Bears cornerback Cam Lewis left the Week 3 game against the Philadelphia Eagles due to an apparent left leg injury, and he was unable to return
Despair over future fuels political anxiety for college students on the cusp of adulthood
EAST LANSING, Mich. (AP) — Frankie Llerandi, 21, has been unable to land a single internship in his three years at Michigan State University.
A new strategy enables precise fabrication of nanoporous carbon structures
Nanoporous carbon materials have attracted significant interest for applications in lightweight structural materials, microdevices, and bio-integrated systems due to their low density, chemical stability, electrical conductivity, and tunable mechanical properties. However, existing fabrication approaches often struggle to simultaneously achieve precise patterning, controllable porosity, and desirable mechanical performance. A research team led by Professor Min Qiu at Westlake University has developed a new fabrication strategy, termed Mix-ice lithography (Mix-IL), that enables direct construction of nanoporous carbon structures with tunable pore architectures and complex geometries. The study has been published in Science Bulletin.
Registration is open for high school winter sports
Registration is now officially open for high school winter sports for the City School District of Albany! Any student in grades 9-12 who is interested in trying out for boys' basketball, girls' basketball, bowling, cheerleading, boys' indoor track, girls' indoor track, spirit team, boys' swimming and diving, boys' wrestling and girls' wrestling is invited to register via Final Forms. Important: please note that registration for winter sports ends on Friday, Nov. 13. Practices and tryouts for winter sports begin on Monday, Nov. 16. FINAL FORMS Each season, the following must be done prior to the first day of tryouts and practices: A parent or guardian must initiate the registration process for their student-athlete in Final Forms, filling out the required forms such as Interval Sports Health History and the Athletic Consent Form. The student-athlete must sign and complete their required forms. A reminder that all students who would like to play an interscholastic sport need to have a current physical conducted within a year on file. PHYSICALS A physical conducted within the last 12 months is mandatory for any student interested in trying out for an athletic team and must be uploaded into the Final Forms platform. Families are encouraged to get a completed physical from their child's physician. If you are unable to get a physical from your child's physician, you can schedule a free physical with Whitney Young's school-based health center by calling (518) 573-2556. Additionally, the district physician will also be available to facilitate sports physicals at Albany High in room 4253 on the following dates: Thursday, Nov. 12 from 10:30 a.m.-2:30 p.m. Friday, Nov. 13 from 10:30 a.m.-2:30 p.m. Sports physicals on Nov. 12 and 13 are free and no appointment is necessary. ACADEMIC ELIGIBILITY REQUIREMENTS Please note that students must have a good attendance record and be in good standing academically to be eligible to participate in an athletic team. Eligibility is determined based on quarterly grades, and interim progress reports will serve as an important academic checkpoint for all student‑athletes. For additional details about academic eligibility, please see our Athletic Code of Conduct. For our winter teams, academic eligibility to start the season will be based on final first-quarter grades. The first marking period ends Nov. 13. Albany High offers free tutoring facilitated by Albany High teachers Monday-Thursday from 3:30-5 p.m. for students who need extra help with their academics. See this flyer for additional details. IMPORTANT DATES Seniors, please mark your calendars for Senior Media Day for winter sports, which will take place on Monday, Nov. 30. All student-athletes playing winter sports will also participate in our winter sports picture days, which will take place Tuesday, Dec. 15–Thursday, Dec. 18. Specific dates and times for each team will be shared once rosters are finalized. OPEN GYM SESSIONS Student-athletes are encouraged to check out our open gym sessions as they prepare for upcoming sports seasons. We’re looking forward to a rewarding winter sports season this year! If you have any questions, please contact the Athletic Department at (518) 475-6310. Go Falcons!
Ben Skowronek, Roman Wilson unable to return
Pittsburgh Steelers wide receivers Ben Skowronek and Roman Wilson left the Week 5 game early due to injury
Jadarian Price unable to practice
Chest injury keeps Jadarian Price on the sidelines Thursday
Celine Dion played her first full concert in 6 years after stiff-person syndrome diagnosis. An incredible high note summed up her triumphant return.
The singer held the climactic high note in "All By Myself" after previously revealing that stiff-person syndrome had left her unable to sing as she had before.
Knights unable to come all the way back vs. Ducks
Spotting the visitors a four-goal lead is not a formula for success in Vegas' 4-3 loss.
Cristante’s condition improves
Bryan Cristante was forced to sit out after Roma-Inter (2-2). The Giallorossi number 4 was unable to return to the Italy squad due to lumbago, but in the following days he developed knee inflammation ...
Judi Dench gives health update, says sight loss means she can no longer perform
Oscar-winning actress Dame Judi Dench gave a heartbreaking health update, saying her eye condition has left her unable to act or read more than a decade after her diagnosis.
Nico Collins not able to practice Thursday
Texans WR Nico Collins unable to practice because of hamstring injury
DJ Moore remains sidelined
Buffalo Bills WR DJ Moore unable to practice with shoulder injury
Lena Dunham welcomes her first baby via surrogacy
(CNN) — Actress and writer Lena Dunham and her husband Luis Felber have welcomed a baby daughter via surrogate.Writing in an op-ed published by Vogue on Wednesday, Dunham, 40, who is best known as the creator of hit TV series “Girls,” revealed that the couple’s first child had arrived 13 days late, before describing the moment of her birth.“I was so focused on our surrogate — in awe at her concentration, her period of quiet followed by what sounded like a roar — I forgot to look down until I heard our baby’s cry,” she wrote.“I saw her face, gasping just as she did. Her eyes, wide and unfocused, taking in the light and shadow, blinking rapidly.”Dunham said she was “bashful and dizzy with joy.”In 2018, Dunham revealed that she’d had a hysterectomy in an attempt to end the pain caused by endometriosis.Endometriosis is a common and often painful condition that happens when tissue similar to the lining of the uterus grows outside the uterus itself. It’s estimated to affect more than 11% of women between the ages of 15 and 44 across the United States.The surgery removed her cervix and uterus, meaning that she was unable to conceive naturally.On meeting her surrogate, Dunham wrote in the Vogue piece: “While I’ve been known to make friends quickly — airport terminals, veterinary offices — this was the quickest leap from first coffee to gynecological procedure I’d ever done.”Dunham said in the months before the embryo transfer date, as she “got to know our surrogate and to trust her,” she thought she would feel “jealousy” towards her, but she did not.“Instead, I felt a different kind of jealousy — toward said baby, for the chance to be tucked into someone who radiated such safety. I could just tell she knew how to steer an SUV in the snow,” Dunham added.The pregnancy came after “12 years circling the fertility drain,” Dunham wrote, and revealed how she dealt with the nerves of the intervening months.“Powerless and unable to feel the physical changes that signal a growing fetus, I horrified friends and family who adhere to the Jewish superstition prohibiting anticipatory purchases, and I started shopping,” said Dunham, before recounting her journey into the world of baby fashion.“I was looking for garments that allowed her personality to develop and express itself rather than announcing an identity she didn’t yet have,” she said.“She would be a person that we helped to dress, who made an impression on the world based on our choices, until she was old enough to do it herself.”The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.
The Cost of Cutting American Science: How Federal Cuts Diminish Public Health Capacity
Among the federal government’s many responsibilities is the work it does to protect public health. Federal agencies monitor our food supply to ensure safety, conduct research to better understand emerging health threats, provide funding for public health programs in communities and work to detect and respond to disease outbreaks. Americans rely on these efforts every day—in a 2024 online survey, 74% of respondents said that “if the federal government issued safety guidance about food you eat regularly,” they would follow it. Changes to Federal Public Health Capacity The Trump administration’s efforts to reshape the federal government have resulted in significant impacts on our nation’s public health capacity over the past 20 months, affecting the response to health concerns such as measles, Ebola and cyclosporiasis. Agencies with core public health, food safety and disease prevention responsibilities experienced large workforce decreases during the first year of the administration. At the Centers for Disease Control and Prevention, for instance, the workforce in February 2026 was 26.7% smaller than in September 2024 before the start of the Trump administration. The Food and Drug Administration saw a similarly steep decline of 21.6%. Agencies such as the National Institutes of Health, Substance Abuse and Mental Health Services Administration and Food Safety and Inspection Service also experienced large workforce decreases. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); Changes can also be seen in crucial public health occupations. The number of federal food inspectors, for example, decreased by more than half between September 2024 and February 2026, going from 1,035 to 473. This is the lowest number of food inspectors employed by the federal government since at least 2005. By February 2026, there were also 33.3% fewer federal public health program specialists, whose work includes advising federal funding recipients on public health activities and analyzing the effectiveness of public health programs. Government’s capacity is diminished as employees with specialized knowledge and experience in protecting the public and responding to health risks depart, leaving agencies less prepared to carry out their public health missions. There also have been vacancies in critical high-level leadership positions at public health agencies, most notably at the CDC, which had a permanent Senate-confirmed director for less than a month between January 2025 and early August 2026. Although the CDC has previously been led by acting directors at the start of an administration, the nearly yearlong gap since the departure of the administration’s first permanent director in August 2025 is without precedent. As of August 2026, the FDA is also currently without a Senate-confirmed commissioner following the previous commissioner’s resignation in May 2026. Additionally, public health agencies are experiencing increased politicization of their leadership ranks. In agencies such as the CDC and Food Safety and Inspection Service, the number of individuals in the Senior Executive Service—the most senior career leaders in government—has declined significantly, while at the same time the number of political appointees has reached record levels. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); At the CDC, for example, the number of career SES decreased 42.9% between December 2024 and February 2026, while the number of non-Senate confirmed political appointees at the agency was six times larger than the agency’s historical average from 2009 and 2024. Knowledgeable career leaders are integral to the ability of public health agencies to carry out their work with scientific integrity and professional judgment, and rapid leadership turnover and increased politicization threaten agencies’ ability to make evidence-based decisions to protect our health. The upheaval and politicization in public health agencies have also negatively affected employee engagement. Strong employee engagement is crucial to the ability of agencies to carry out their mission and successfully provide essential services to the public. In the 2025 Public Service Viewpoint Survey conducted by the Partnership for Public Service, the Department of Health and Human Services—which encompasses major public health agencies such as the CDC and FDA—had an employee engagement and satisfaction score of 20.4 out of 100, one of the lowest among large agencies. Only 2.8% of HHS employees indicated trust in their political leaders and only 8.7% reported confidence that they could report a suspected violation of law or regulation without retaliation. Employees at HHS also reported that the agency’s ability to provide services to the public had suffered. Nearly half of employees at HHS, 47.5%, said their work unit was worse at delivering quality services compared to its performance in 2024. In addition, 57.8% said their work unit was performing worse at fulfilling stakeholder needs. In addition to the work done within federal agencies, the federal government also distributes significant funding for public health and disease prevention work to state and local governments, nonprofits and small businesses—funding which has been significantly disrupted. At the CDC, for example, there was a 71.9% decrease in the amount of project grant funding issued in fiscal year 2025 compared to fiscal year 2024. The FDA also issued far less funding in fiscal year 2025—a 21.3% decrease from its fiscal year 2024 funding. Changes in federal funding include the ending of grants to community organizations that worked on HIV prevention and the cancellation of funding for research into improvements to patient safety and healthcare quality. These changes go beyond federal agencies to impact the broader public health ecosystem, including the state and local health departments responsible for much of the on-the-ground public health work in their communities. About 80% of the CDC’s domestic funding is directed towards state and local partners—meaning that cuts to CDC funding can ultimately result in cuts to state and local public health capacity. Federal agencies also provide expertise and assistance to state and local health agencies as they deal with particular health challenges, but workforce cuts have resulted in fewer federal employees available to help. The Impact of Changes to Public Health Capacity These changes to federal public health capacity are not abstract concerns. Disrupted programs, reduced funding and lost expertise at public health agencies across all levels of government threaten the public’s physical well-being and safety. In some cases, this has already led to harm. The most immediate impacts of federal cuts were seen in interruptions to ongoing public health programs and crisis responses. In one instance, when CDC grants were canceled during the 2025 Texas measles outbreak—the most severe measles outbreak in 25 years—public health officials in Lubbock, Texas were forced to pause parts of their measles response work supported by the frozen funding. Lubbock’s director of public health further said that a lack of available CDC experts to reach out to for advice “definitely” impacted the department’s response to the measles crisis. Cuts to federal funding also forced Dallas County Health and Human Services to cut staff and cancel 50 community vaccination clinics during the outbreak. Public health work outside of major outbreak responses was also disrupted. For example, in April 2025, the Milwaukee Public Health Department was unexpectedly unable to reach experts on lead poisoning due to firings at the CDC when responding to concerns about lead contamination in Milwaukee public schools. Due to federal workforce cuts, several programs at the CDC, including Alzheimer’s and epilepsy programs, have also become trapped in limbo—existing on paper, but without the staff necessary to operate. More recent crises reveal how federal cuts have weakened the public health infrastructure needed to prevent and respond to dangerous new outbreaks. Internationally, cuts at the U.S. Agency for International Development eliminated funding for disease testing and contact tracing abroad, which delayed detection of and responses to the 2026 Ebola outbreak in the Democratic Republic of Congo. While international outbreaks may seem far removed, the unchecked spread of disease in any country can quickly pose a danger to economic well-being, security and health around the world. Within the United States, public health cuts inhibited responses to the summer 2026 outbreak of the food-borne parasite cyclospora. At the federal level, cuts to funding for lab equipment and for CDC staff with expertise in parasitic infections—including 9 out of 11 staff members at the lab responsible for identifying parasitic outbreaks in 2025— contributed to the largest reporting delay in outbreak cases at the CDC in 15 years. Conflicting communications from the FDA about the source of the outbreak, which followed cuts to the agency’s communications department, additionally led to confusion among the public about how to best avoid infection. At the same time, cuts to HHS funding and support for local and state public health slowed some health departments’ responses to the crisis. The exact costs of these delays, constraints and confusion in public health responses are difficult to estimate. However, their message is clear: federal cuts have already made containing threats to public health even more of a challenge. Conclusion Protecting public health—from food safety to disease prevention—is one of the federal government’s most important missions. Dramatic and haphazard cuts to federal agencies and funding have already disrupted the public health system, impacting the response to challenges such as measles, lead poisoning and cyclosporiasis. The U.S. public health system needed improvement before these disruptions. Since 2022, federal leadership and coordination in response to public health outbreaks has been on the Government Accountability Office’s High-Risk List of areas in need of attention to improve government effectiveness and efficiency. Recent cuts only compound these concerns. The chaotic dismantling of government and resulting disruptions to crucial functions like public health and disease prevention highlight the need for meaningful reform and concrete policy proposals to reimagine how government can better serve the public and be more effective, responsive and accountable. To learn more about the impact of federal cuts to public health and science more broadly, visit The Cost of Cutting American Science. Learn more For more information on the Partnership for Public Service’s government reform initiative, visit Government for a New Era. View here In line with The Cost of Cutting American Science, federal workforce data in this brief is as of February 2026
Tarik Skubal Reflects on Emotional Tigers Reunion After Dodgers Win
Los Angeles Dodgers starting pitcher Tarik Skubal had a heavy outing on August 28th against his former beloved team, the Detroit Tigers. Entering free agency, and with the Tigers left unable to afford Skubal, Detroit was essentially forced to deal…
Keaton Mitchell Injury Update Heading Into Week 1
Keaton Mitchell had been unable to take part in the Chargers' last six practices as the team prepares for Week 1 of its 2026 schedule.
Key moments in the Lindsay Clancy case: the 911 call, mental health care, mistrial
The judge has declared a mistrial in the Lindsay Clancy murder trial. After seven days of deliberating, the jurors failed to reach a verdict on whether she was criminally responsible for killing her three young children at her Massachusetts home. Judge William Sullivan declared the mistrial Friday. That came after jurors sent a note saying that they were “unable to come to a unanimous decision and will not be able to." The emotionally charged case has sharply divided many Americans and generated intense interest for over a month. It’s drawn attention to issues around maternal mental health after childbirth.
Tua Tagovailoa unable to practice
Atlanta Falcons QB Tua Tagovailoa misses Wednesday's practice
Myles Garrett still unable to practice
Los Angeles Rams DE Myles Garrett still not close to returning
Trump again appeals to Supreme Court on mail voting restrictions as midterms loom
The Trump administration on Thursday asked the Supreme Court to reject an order by a federal judge that halts it from implementing a new rule regulating mail ballots, hours after being unable to tell that judge whether the computer system that would govern the entire project was operational yet.
Garrett Williams activated from the physically unable to perform list
Garrett Williams is back from the PUP.
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.
Michigan got $173M to transform rural health. Where is it going?
Rural hospital leaders in Michigan say the federal program is unable to augment day-to-day operations to support frontline medical care, and is instead flowing to programs on the periphery of where the system is experiencing the most strain.
Tony Pollard misses practice Wednesday
Titans RB Tony Pollard unable to practice Wednesday ahead of Week 5 game
Volunteers help Carson City locals receive health checkups at first Love Heals Free Clinic
Locals unable to afford health checkups can get them done by medical professionals today, Saturday, at the Carson City Community Center during the first Love Heals Free Clinic event happening […]
Runable hits $21M to bet AI agents can go from building businesses to growing them
Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.
States can soon order covid vaccines for low-income children, after delay
The Vaccines for Children program, which serves nearly half the nation’s youths, had been in limbo for almost a month, with doctors unable to obtain the shots.
9th GTA 6 leak teases Lucia gameplay after prior Cyberleek videos focus on Jason
The ninth Cyberleek video shows Jason stealing a truck from an NPC at a gas station. An explosion follows, along with a cutscene teasing gameplay with his partner. If Rockstar is unable to stop the clips, the next GTA 6 leak could include Jason and Lucia completing a mission.
Jenks Center presents ‘Stone Age Science’ with Joshua Passell
The following was submitted by the Jenks Center: On Tuesday, Sept. 15, the Jenks Center, 109 Skillings Road, will host “Stone Age Science,” from 6-7 p.m., with Joshua Passell. The natural world is rich with mysteries, but not so mysterious that our ancient ancestors were unable to understand
Dodgers look to even NLCS
The Los Angeles Dodgers find themselves down 1-0 in the NLCS to the Milwaukee Brewers, unable to muster more than one run. As is so often the case, Monday afternoon they will send Yoshinobu Yamamoto to try to even the series. The Dodgers are 9-1 in his postseason starts and are undefeated in his six […]
Prime Healthcare ‘unable' to provide answers on cuts to OB/GYN, pediatric units at 3 hospitals, Illinois Rep. says
Illinois Rep. Lauren Underwood, a nurse, says Prime Healthcare has made "no plans to help moms" after the system announced closure of its labor and delivery units at three Chicago-area hospitals.
Yale School of Medicine On the Science of Childhood Anxiety, Say, Anxiety Disorders Are the Most Common Mental Health Challenges In Youth
Credit: Matt Bradbury October 5, 2026 - By Isabella Backman - Anxiety disorders are the most common mental health challenges in youth. Left untreated, they can disrupt the lives of both children and their families. The good news is that with intervention, most children will overcome these conditions. Across Yale School of Medicine, scientists are working to understand anxiety at every level, from common anxious behaviors to molecular biomarkers in the brain. They are using their findings to develop and disseminate new evidence-based treatments for childhood anxiety. Today, the go-to treatment for childhood anxiety disorders is cognitive behavioral therapy (CBT). This is a form of psychotherapy that teaches children skills for confronting anxious thoughts and helps them practice managing situations that cause anxiety. While it is the gold-standard treatment backed by considerable scientific evidence, up to 50% of children will not see sufficient benefit from CBT alone. Wendy Silverman, PhD, Alfred A. Messer Professor in the Child Study Center, co-directs the Anxiety and Mood Disorders Program alongside Eli Lebowitz, PhD, associate professor in the Child Study Center. One of their main interests is learning how to improve outcomes beyond CBT. “We’re developing cutting-edge, research-based knowledge that can reduce the suffering that anxiety causes children and their families,” says Silverman. Changing parent behavior YSM experts are investigating how to improve CBT outcomes for children by involving the parents. Silverman’s research has uncovered two main components of parent intervention that improve childhood anxiety: not enabling children to completely avoid the things that make them anxious and taking steps to enhance their autonomy. Parents may unintentionally reinforce their child’s anxiety by allowing them to avoid what makes them anxious. They also may unintentionally limit the children’s sense of autonomy by being overly intrusive. “One of the things that we take pride in is that we’ve focused on trying to understand what parents need to do, and to test our ideas and see if changing the parents’ behaviors is enhancing the effects of CBT,” Silverman says. “Our findings thus far suggest that they do." As much as CBT can be helpful, it can also be challenging to get one’s child to do the necessary steps for CBT to work. This is one important reason why Lebowitz created a novel intervention program for parents named Supportive Parenting for Anxious Childhood Emotions (SPACE). Existing intervention programs often teach parents to act as therapists for their child, such as training them on how to practice breathing exercises. “It makes sense, but this doesn’t work very well in practice,” says Lebowitz. “And part of the reason, I think, is that it’s not easy to get your kid to do things, especially if they’re not excited about doing it.” SPACE is unique because it focuses entirely on parent involvement and changing parental behavior—children are not involved in the sessions. For example, parents learn how to use supportive messages that convey confidence that their child can tolerate and manage distress. “It might sound like a parent saying to a child, ‘I get that this is really hard for you, but I know that you can handle it,’” Lebowitz says. The program also works with parents to identify the ways in which they are accommodating anxious behaviors. “We’ll pick one thing that parents are doing that is an accommodation and help them make a detailed plan for how they’re going to change that,” Lebowitz explains. Treating Anxiety in Children and Adolescents Much of the existing research on SPACE has focused on parents of children under age 14. Ongoing studies are now exploring its use with parents of older teens. “Both anxiety and accommodation can interfere with normative developmental shifts during the teen years, including increased autonomy and individuation from parents,” says Rebecca Etkin, PhD, associate research scientist in the Child Study Center. “In this sense, SPACE may be particularly well-suited for anxious teens and their parents. We want to see whether it is effective during this distinct developmental window.” Unfortunately, many families in need of CBT face barriers, including limited availability of services and geographic constraints. One way to improve access is digital interventions. Silverman and her team are developing an evidence-based digitized intervention program for parents that they can access directly from their computer or smart phone. “The work we’re doing will be one of the very few parent interventions that is digitized and importantly tested for effectiveness,” she says. Creating interventions for anxiety-related challenges Silverman and Lebowitz recently received a generous gift to develop and test other interventions that help parents reduce other child anxiety-related behavioral and emotional difficulties, such as restrictive eating and unexplained somatic symptoms. One of these projects in particular focuses on understanding the risks of social media and its potential benefits, including offering a sense of connection. “A lot of research has focused on the idea that social media is harmful and the less of it the better,” says Lebowitz. “But we actually see is that this is not quite right—there are negatives, but there are also positives. So, we’re trying to get a little bit more nuanced of a picture.” The team is working with teens with social anxiety and their parents over an extended period to better understand their social media habits and how their anxiety levels affect engagement with different platforms. The teens will answer questions sent to an app on their phones about mood and social media usage in an effort to capture emotional responses as they unfold. “We hope to develop interventions that can help make the best of social media while protecting against the more problematic effects,” Lebowitz says. The brain’s role in anxiety Researchers are also testing therapies to address anxiety at the neurological and molecular levels. In collaboration with Dylan Gee, PhD, professor of psychology in Yale's Faculty of Arts and Sciences, and Hilary Blumberg, MD, John and Hope Furth Professor of Psychiatric Neuroscience at Yale School of Medicine, Lebowitz and Silverman are using brain imaging to identify changes in a child’s brain before and after parents enroll in SPACE. In one study, children viewed anxiety-inducing images while undergoing magnetic resonance imaging (MRI); the researchers conducted scans with and without the children’s parents nearby. Before SPACE, children’s brains were better able to activate the regulatory circuitry needed to turn off an anxious response when their parents were nearby. But after SPACE, children could activate this circuitry even without the parent around. “As parents work on gradually reducing some of their accommodations, you can see a child get better at regulating their own fear system in the brain,” Lebowitz says. “It’s remarkable.” Research into the molecular underpinnings of anxiety can also inform new childhood anxiety treatments. In a recent study, Lebowitz, Silverman, and Flora Vaccarino, MD, Harris Professor in the Child Study Center, discovered that a protein known as fibroblast growth factor 2 (FGF2) could be protective from the toxic effects of stress. FGF2 levels in children and their parents were linked to the children’s risk of developing anxiety and depression, the study showed. The findings could help explain why some children who are exposed to early life trauma such as poverty or abuse are more prone to developing mental health disorders. And FGF2 could be a target for treatment. “This is very novel because it starts to give a clue to what is the molecular chain that connects those lived experiences to the actual psychological outcomes,” Lebowitz says. New ways to study and treat childhood anxiety Michael Crowley, PhD, associate professor in the Child Study Center, collaborates with Silverman and Lebowitz to study the role that attention plays in development and maintenance of childhood anxiety. There is a large body of research that shows that anxious children, like anxious adults, are prone to focus on threatening stimuli such as angry faces compared with neutral faces. This has led to innovative interventions that involve attention retraining. The idea is that if experts train children to look away from threatening stimuli, it may reduce their anxiety—especially children with social anxiety who are most prone to attend to threats. The researchers have just completed a clinical trial for attention retraining with 10- to 14-year-olds with social anxiety disorders and are currently analyzing the findings. Besides this innovative attention retraining research, as Crowly notes, “I like to design tasks that are engaging to kids,” Crowley says. “My goal is to assess something without the kids knowing what we are assessing.” With this goal in mind, Crowley has created a virtual game, named Boom, to study threat processing in children with anxiety disorders. The game is similar to that of hot potato—the child and three digital players take turns virtually passing a ball to each other’s gloves. At some point, the ball turns into a bomb, and as the bomb lands in each player’s glove, the outline of the glove turns yellow. The goal is to avoid having the bomb go off in your glove. What isn’t obvious is that the game is designed to measure different types of threatening stimuli, both ambiguous and direct. In the game, the direct threat occurs as the bomb is traveling towards your glove. The ambiguous threat is the yellow outlined glove as it is unknown where the bomb will travel next. While children play the game, Crowley’s team measures their brain activity using electroencephalography (EEG). The researchers have discovered that in kids with anxiety, the brain reacts more strongly to ambiguous threats than it does in their peers, but less strongly to direct threats. They believe that the initial abnormally large brain response to not knowing where the bomb is going impairs the brain's ability to properly respond when the threat is actually traveling the child’s way. “The brains of children with anxiety are unable to differentiate between threats you need to do something about and those that are not your problem.” Michael Crowley, PhD, develops innovative games for studying anxiety in children and adolescents.Credit: Matt Bradbury Based on these insights, Crowley hopes to study whether interventions like attention training could restore appropriate threat processing. Crowley’s team is also working on a test called the Balloon Risk Avoidance Task, which evaluates risk-taking and avoidance behaviors. It features a digital balloon that is full of air and about to burst. Kids have six seconds to let air out of the balloon. The more air they let out, the less risk they face that the balloon will pop. But at the same time, the balloon becomes less valuable as it deflates. “The more air you keep in the balloon, the more points you get,” Crowley explains. So far, the researchers have found that when the balloons pop unexpectedly, teens with social anxiety show distinct brain responses. Studying these responses can help psychologists understand the underlying pathways driving the various manifestations of anxiety. The genetics of anxiety When Thomas Fernandez, MD, associate professor in the Child Study Center and of psychiatry, was still in training, there was a lot of excitement about understanding the genetics associated with autism spectrum disorder. Since then, scientists have identified around 250 genes associated with autism. The genetic contribution to anxiety disorders, on the other hand, has historically received less attention. Anxiety is less heritable than autism, but the genetic contribution for anxiety disorders that emerge in childhood may be higher than for anxiety disorders overall. While scientists estimate the heritability of anxiety disorders in general to be around 30% to 50%, some studies suggest higher heritability for certain childhood-onset anxiety presentations. “I saw firsthand how researchers in the field went about finding vulnerability genes for autism,” Fernandez says. “So, we’re using a very similar playbook for childhood anxiety.” “I saw firsthand how researchers in the field went about finding vulnerability genes for autism. So, we’re using a very similar playbook for childhood anxiety.” Thomas Fernandez, MD Associate Professor In the Child Study Center and in Psychiatry Now, Fernandez and Emily Olfson, MD, PhD, assistant professor in the Child Study Center, are studying children and their parents to identify genetic changes that are present in the child but not the parents, known as “de novo mutations.” “All of us have some de novo mutations—maybe about 50 to 100 sprinkled throughout the genome,” Olfson says. “But when they occur within the coding regions of genes, they can be really disruptive.” Previous research shows that people with autism have higher rates of damaging de novo mutations than the general population. In 2022, Olfson, Lebowitz, Silverman, and Fernandez published a study on 68 children and their families that found that children with anxiety had similarly high levels of these mutations. Studying de novo mutations can help point the researchers to where they should be looking for genes associated with anxiety. “The end game is using the genes to steer us toward the right part of biology that we can then target to come up with better treatments,” Fernandez says. Building on those findings, the team is now studying more families to better understand how these de novo mutations, along with other genetic and environmental factors, shape pediatric anxiety disorders. They recently received a National Institutes of Health grant to enroll 750 new families over the next five years. Olfson is the principal investigator, with co-investigators Lebowitz, Fernandez, Silverman, and Shuangge Steven Ma, PhD, department chair and professor of biostatistics at Yale School of Public Health. Neurodevelopment, Risk Genes, and Mental Health Conditions - The Olfson Lab Joel Gelernter, MD, Foundations Fund Professor of Psychiatry, is interested in how different anxiety disorders differ genomically. “We are studying social phobia, panic disorder, and generalized anxiety disorder, working to understand why people differ in their risk to these specific anxiety disorders and evaluating various risk factors,” he says. Gelernter was recently involved in one of the largest studies to date of the genomics underlying anxiety disorder. The study included around 122,000 people with anxiety disorders and around 730,000 without. It found that some genetic differences associated with anxiety were linked to signaling that helps reduce overactivity in the nervous system. Many anxiety medications available today work by targeting this process. “It’s nice when the biology that you get out of a large genome-wide study ratifies things that we already know because that can help increase confidence in further findings from the study,” Gelernter says. Uncovering the neurobiology of psychiatric disorders John Krystal, MD, Robert L. McNeil, Jr. Professor of Translational Research and chair of the Department of Psychiatry, is interested in the neurobiology of psychiatric disorders, including post-traumatic stress disorder (PTSD), of which anxiety is a major symptom. In the late 1980s, Krystal’s team discovered that the drug yohimbine activated symptoms in patients with PTSD. “This was the first time we could link a specific biological mechanism to the symptoms of PTSD,” Krystal says. At the time, he adds, this finding was highly controversial. “A lot of people felt that PTSD was a purely psychological syndrome that didn’t have an underlying biology.” Since then, Krystal has dived deep into understanding the neurobiology of PTSD to learn how to better treat it. His team is evaluating the use of ketamine and psychedelics. These would be among the first treatments to be developed specifically for PTSD. They may also be applicable for other disorders including anxiety disorders, Krystal adds. An important gap in PTSD treatment is the absence of biological tests that inform how to best help patients manage their PTSD symptoms. A doctor doesn’t diagnose cancer based on how they feel. Rather, they use tests of the biology of the cancer to determine the best course of treatment. “And we can’t do that in any psychiatric disorder other than Alzheimer’s disease,” Krystal says. “But now we are building a foundation for this approach to the treatment of anxiety disorders for the first time.” Source: Yale School of Medicine
Despair over future fuels political anxiety for college students on the cusp of adulthood
(AP) — Frankie Llerandi, 21, has been unable to land a single internship in his three years at Michigan State University. He will graduate in the spring with an economics degree and an interest in dat...
Despair over future fuels political anxiety for college students on the cusp of adulthood
EAST LANSING, Mich. (AP) — Frankie Llerandi, 21, has been unable to land a single internship in his three years at Michigan State University.
County business halts as staff experience tech issues
Due to technical issues with phone systems and servers, Jefferson County is temporarily unable to process transactions.
Brewers unable to extend winning streak in 4-3 loss
Despite two home runs, the bullpen and offense fall short of extending the Brewers winning streak
Despair over future fuels political anxiety for college students on the cusp of adulthood
EAST LANSING, Mich. (AP) — Frankie Llerandi, 21, has been unable to land a single internship in his three years at Michigan State University.He will
AT&T and Apple Just Took Steps Toward Fixing iPhone 18 Pro Max Issue
AT&T and Apple are taking action today as they try to resolve iPhone 18 Pro Max cellular issues, according to MacRumors contributor Aaron Perris. Thousands of iPhone 18 Pro Max users have been unable to connect to the AT&T network for phone calls, text messages, and data. The underlying cause has yet to be disclosed, but AT&T and Apple continue to work toward a resolution. First, Apple today released an AT&T carrier settings update (version 72.1, up from 72.0.2) for iPhones.
Mike Evans misses practice
San Francisco 49ers WR Mike Evans was unable to practice Wednesday
Chig Okonkwo misses practice Wednesday
Commanders TE Chig Okonkwo unable to practice because of hamstring issue
Despair over future fuels political anxiety for college students on the cusp of adulthood
EAST LANSING, Mich. (AP) — Frankie Llerandi, 21, has been unable to land a single internship in his three years at Michigan State University.
Wednesday practice report for Panthers
Panthers TE Darren Waller, two others unable to practice
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
From struggling to walk to lifting trophy
Elena Rybakina arrived in New York unable to walk without pain after injuring her foot. She leaves the city as the US Open champion and new world number one.
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.. 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