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NYSE Content Update: OpenLoop Health Debuts At-Home Sleep Apnea Test with 98% Accuracy
The New York Stock Exchange (NYSE) provides a daily pre-market update directly from the NYSE Trading Floor. Access today's NYSE Pre-market update for market insights before trading begins.
Iowa House passes bill expanding subacute mental health care
A bill aiming to remove barriers for mental health access in Iowa is heading to the governor's desk.
DOJ ‘weaponization’ report accuses Biden administration of biased prosecutions against anti-abortion protesters
The Trump Justice Department released a new report Tuesday accusing the Biden administration of unfairly using a federal law meant to protect access to abortion clinics to go after anti-abortion protesters.
STAR Seminar- Reimagining Youth Sport as a Brain-Based Environment for Mental Health
Youth mental health challenges are rising globally, yet one of the most accessible youth-serving systems — sport— remains underutilized as a public health strategy. This Stress, Trauma, and Resilience (STAR) Seminar explores how insights from developmental neuroscience, trauma research, and sport-based youth development can transform everyday sport experiences into environments that promote regulation, connection, and resilience.
Towards better vision: WHO South-East Asia regional meeting on eye health
The WHO South-East Asia Regional Meeting on Eye Health was convened to address the substantial and persistent burden of avoidable vision impairment in the Region. South-East Asia accountsfor nearly one third of the world’s blind and visually impaired population, with cataract, uncorrected refractive error, and diabetic retinopathy contributing to more than 90 percent of cases. The meeting responded to the need for coordinated action to achieve the 2030 global targets for effective cataract surgical coverage and effective refractive error coverage, and to advance implementation of the Regional Action Plan for Integrated People Centred Eye Care. It provided a platform for reviewing progress, identifying system gaps, and strengthening country pathways to accelerate universal access to quality eye care.
20 years later: How Massachusetts health care reform changed access
Nearly everyone in Mass. has health care coverage — but many still can’t afford care.
BUILDERS OF MINNESOTA | Inside FairPlay Entertainment: How Matt Allen and Ryan Hayes Are Rebuilding Access, Dignity, and Creative Power in Minnesota
FairPlay Entertainment builds an affordable St. Paul studio expanding access, supporting diverse artists, and strengthening Minnesota’s music scene.
Access granted: CMS greenlights more than 150 participants for chronic care experiment
CMS greenlights more than 150 digital health companies for its ACCESS experiment, a new program for tech-backed chronic care with outcome-aligned payments.
Mercer Health Announces 2026 Sports Physicals for Student Athletes
Mercer Health is now scheduling 2026 sports physicals for area student athletes, offering families convenient access to required pre‑participation exams ahead of the upcoming school year. As part of this year’s program, students who complete their sports physical at a Mercer Health Medical Group location will receive a complimentary t‑shirt, while supplies last. Sports physicals […]
Mercer Health Announces 2026 Sports Physicals for Student Athletes
Mercer Health is now scheduling 2026 sports physicals for area student athletes, offering families convenient access to required pre‑participation exams ahead of the upcoming school year. As part of this year’s program, students who complete their sports physical at a Mercer Health Medical Group location will receive a complimentary t‑shirt, while supplies last. Sports physicals […]
Hacker group threatens to release Grand Theft Auto VI data in Rockstar Games attack
The group named ShinyHunters have accessed a third party server and have given the company a deadline of 14 April to enter ransom negotiations
How California Can Improve Access to Mental Health Services | Pomona College in Claremont, California
Professor Sara Masland examines existing barriers to accessing mental health services, the risks associated with using AI as a therapist and the importance of early intervention in the state’s new Mental Health for All initiative.
New ultra-premium foldable released internationally with big launch discounts
Motorola has now started selling its first book-style foldable. Available internationally, the Razr Fold undercuts the Galaxy Z Fold7 and the Pixel 10 Pro Fold with a massive launch discount and several wearable accessories thrown in for good measure.
7 ways AI is advancing healthcare and wellbeing around the world
AI-powered tools are being used to bring greater efficiency and security to healthcare around the world and increase access to medicines and care.
Xsolla Brings Accessibility, Social Impact, and Entertainment IP Licensing With Xsolla Agency to London Games Festival 2026
Xsolla, a global video game commerce company, today announced its presence at the London Games Festival 2026 (April 13–19), with activities spanning gaming a...
CMS Launches First Wave of Health Tech Ecosystem Health Information Sharing and Access Tools
The Department of Health and Human Services (HHS) Centers for Medicare and Medicaid Services (CMS) has launched the first wave of Health Tech Ecosystem The CMS has launched the first wave of Health Tech Ecosystem tools under its initiative to improve interoperability and patient access to their own health information.
'Air traffic control' for hospital beds? How it works at Brown Health
A 24/7/365 command center operates like air traffic control for Brown Health's six hospitals, monitoring every patient and bed.
‘We Are Growing’: Fresh Designs Lift Raymond Weil
Elie Bernheim, the chief executive of Raymond Weil, has confidence in his “accessible luxury” business model.
Microsoft Shuts Down Outlook App For Android Users In 6 Weeks
Outlook Lite is no more — here's what you need to do before you lose access to your emails.
Oregon gets $200M to improve rural health care access
Oregon will receive nearly $200 million in federal funding this year to improve rural health care, with specific allocations for hospitals, clinics and public health, with additional project funding to
18% of gray whales that enter San Francisco Bay die there, scientists find
The climate crisis seems to be altering gray whales’ access to food, leading them to change their migration paths and forage in San Francisco Bay — a busy shipping area with a narrow bottleneck both whales and boats must cross. Scientists surveying these whales suspect that many don’t survive to leave the bay: of the 114 individuals they identified, only four were seen in more than one year between 2018 and 2025, and 21 were found dead, giving a minimum mortality rate of 18%. Many deaths were caused by vessel strike injuries, while some others are due to starvation.
Care Solace to provide mental health coordination services in Beaumont
Beaumont residents will soon have access to 24/7 mental health care coordination service.
New report claims Microsoft is considering changing Day One access to Call of Duty on Game Pass
Microsoft is reportedly considering dropping Call of Duty from its Game Pass Day One offering.
Medicaid Cuts Could Force More Kids to Become Caregivers
Trump’s Medicaid cuts are expected to limit access to home care services—potentially forcing many kids to become caregivers, warns Lisa McCarty.
Early data promising on RI's evolving behavioral health model
Rhode Island's certified community behavioral health clinics are showing promising results, increasing access and improving outcomes, the author says.
This accessory lets you play Switch 2 games on your iPad or iMac display at 4K resolution
Apple has included excellent display panels on iMacs for years, but for the longest time, there hasn’t really been a...
New Harlem mental health clinic expands access to services for families
Americans wait overnight for access to free healthcare as costs soar ‘out of reach’
Some Americans are sleeping in their cars for days to receive free healthcare from Remote Area Medical's volunteer pop-up clinics across the country. CEO Chris Hall shares details.
Trump Admin Seeks Sweeping Access to Federal Workers’ Health Records
The administration’s access to medical histories raises privacy concerns over abortion and transgender care records.
New to The Street to Broadcast on Fox Business on Monday, April 13, Featuring Virtuix Holdings...
The show will air as sponsored programming nationwide at 10:30 PM PST on Fox Business Network
New to The Street to Broadcast on Fox Business on Monday, April 13, Featuring Virtuix Holdings...
The show will air as sponsored programming nationwide at 10:30 PM PST on Fox Business Network
New to The Street to Broadcast on Fox Business on Monday, April 13, Featuring Virtuix Holdings...
The show will air as sponsored programming nationwide at 10:30 PM PST on Fox Business Network
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
Science students find mentorship and pathways to career success
Batool Abdulruhman and Alyssa Rivera both grew up in rural Valley communities where doctors are scarce and medical care is difficult to access. Now they are on a path to become doctors practicing in the Valley because of the support and mentorship they received through the Center for Access to Science for All (CASA) in […]
Pokemon Center Announces Early Access Program for Preordering! -...
The Pokemon Center has announced a new early access program through an update to its FAQ. Customers subscribed to the Pokemon Center newsletter and
Proactive business decisions are improving local cancer care
Two of the region’s leading cancer organizations—Mary Bird Perkins Cancer Center and Ochsner Cancer Center—are pushing deeper into underserved communities, deploying new technology and rethinking how care is delivered. The challenges of access, staffing and financing remain formidable, but the distance between patients and quality care is shrinking. Nearly 80% of Louisiana’s land is classified […]
MSU transparency proposal for sports nonprofit gets pulled over dissent
The resolution would require that materials from any entity the university's administration created could be accessed by the public and the trustees.
TXST to lead statewide academy strengthening financial stability of rural Texas hospitals
Texas State leads a statewide academy to strengthen the financial stability and leadership of rural Texas hospitals, helping prevent closures and protect healthcare access.
Swashbuckling co-op survivor Windrose sets sail into early access next week, which means it's time to battle Blackbeard and a big flower
Pirate survival game Windrose releases in early access next week, its devs have revealed with a new trailer.
Google Rolls Out DBSC in Chrome 146 to Block Session Theft on Windows
Google releases DBSC in Chrome 146 for Windows, binding cookies to devices to reduce session theft and prevent unauthorized access.
Making cutting-edge science accessible to early physics students
By feeding students the mysteries and wonder of modern physics, Don Lincoln hopes to ‘blow their minds.’
Federal judge finds Pentagon in violation of court order to restore reporters' access
A federal judge on Thursday ruled that the Defense Department is violating his earlier order to restore access to the Pentagon for reporters, a setback in the administration's efforts to impede the work of journalists.
Central IL author making science more accessible, engaging for kids
CENTRAL ILLINOIS (WCIA) — A Central Illinois author is working to make science more accessible and easier to understand for kids. Seekers of Science, or SOS, is a STEM-based comic created by …
North Dakotans can learn about resources to grow healthy habits on April 18 at Gateway to Health event | Health and Human Services North Dakota
Individuals and families are invited to the fourth annual Gateway to Health community event, which includes activities for all ages on Saturday, April 18, 10 a.m.- 4 p.m. at North Dakota’s Gateway to Science in Bismarck. Participants will enjoy free access to the science center during their registered two-hour time slot, along with access to interactive booths and exhibits promoting health and wellbeing through hands-on activities, games and prizes.
Judge blocks Pentagon’s latest bid to limit press access
A federal judge tore into the Department of Defense on Thursday for attempting an end-run around his decision voiding parts of a restrictive press policy rolled out by Secretary Pete Hegseth last year, saying the Pentagon had flouted his ruling when it quickly implemented a tighter policy.
Highly anticipated pirate survival game Windrose lands a release date, and it's setting sail very, very soon
Pirate survival game Windrose finally has a release date, and it's hoisting anchor and sailing into Steam early access next week.
3L Rachel Sadler Charts Path in Brain Health, Technology, and Policy Through UC Law SF’s Health Law Concentration - UC Law San Francisco (Formerly UC Hastings)
3L Rachel Sadler studies health law and policy at UC Law SF while researching the legal implications of neurotechnology and other emerging tools that may affect human cognition. 3L student Rachel Sadler shares how UC Law SF’s Health Law Concentration prepared her for a career focused on the intersection of brain health, government policy, and technology. Gained a detailed understanding of how U.S. health care is regulated and where policy reform is needed through coursework and research. Interned with state and federal agencies that regulate health care services and worked with a major health care provider’s bioethics department. Plans to pursue a career focused on protecting cognitive liberty and mental privacy as new technologies reshape healthcare. 3L Rachel Sadler: The Health Law Concentration has given me fluency in one of the most complex regulated industries and the tools to become an effective advocate for better health policy. Before coming to law school, I spent a decade teaching and working with teachers and administrators on high school programming for multilingual learners. Healthcare kept emerging as the most powerful driver of student outcomes. I wanted to understand how to make effective policy change in this area and how to use existing law to defend people’s health rights in California. Through the concentration’s coursework, I gained a sophisticated understanding of how U.S. healthcare is regulated. I also learned where the pressure points for reform exist. The courses gave me space to develop what became my central research interest: how law and policy can be built to protect human cognition and healthy brain development, particularly regarding new technologies such as generative AI and neurotechnology. The health law faculty were instrumental in that process, genuinely invested in helping me and other students define and pursue our own intellectual vision. During law school, I interned at the General Counsel’s Office for Region IX of the U.S. Department of Health and Human Services. I also externed at the California Department of Justice’s Health, Education and Welfare Division. Additionally, I externed at Kaiser Permanente Northern California’s Bioethics Department. Alongside those placements, I conducted extensive independent research on mental privacy and emerging neurotechnology, working closely with Professors Emily Murphy and George Horvath. That research became the throughline of my law school experience and the foundation of my current policy focus. I must also credit Nicole Ozer of the Center for Constitutional Democracy (CCD), whose deep knowledge of California privacy law and the public-interest privacy landscape deeply informed my work. I currently serve a research assistant with the CCD, where I spearhead the development of K-12 educational resources in partnership with law faculty and students. I’ve found UC Law SF to be an ideal place for second-career, nontraditional students. There is a tremendous diversity of life and career experience here, and I felt fully welcomed into the community, despite returning as a student at a different stage of life. I came to law school wanting to promote equity in California’s healthcare system. I am leaving with a sharper and more specific ambition: to build a policy career focused on protecting cognitive liberty and mental privacy from technological intrusion. This is both an urgent and underserved area of law, and I want to be part of defining this landscape going forward. Whether as a practicing attorney or a policy advisor, I plan to work on these issues after law school. I strongly recommend UC Law SF and the Health Law Concentration. When I arrived in law school, I worried the concentration would be narrow and that my non-clinical background would be a disadvantage. The opposite was true. The health law faculty thinks about health expansively, encompassing social determinants of health, structural inequity, and emerging technologies alongside the regulatory mechanics of the industry. The faculty are accessible, intellectually generous, and genuinely invested in students’ development. I found my research vision here, and I deeply appreciate the concentration’s role in this. The Evidence of Success series highlights UC Law SF students as they share how the College’s opportunities equip them with the experience, skills, and confidence to excel in the legal profession.
UNC Health Pardee Expands Access to Orthopedic, Sports Medicine, and Spine Care in Fletcher
UNC Health Pardee Expands Access to Orthopedic, Sports Medicine, and Spine Care in Fletcher
UNC Health Pardee Expands Access to Orthopedic, Sports Medicine, and Spine Care in Fletcher
UNC Health Pardee Expands Access to Orthopedic, Sports Medicine, and Spine Care in Fletcher
Around the MHS
The latest news from around the Military Health System for the week of April 6-10, 2026, includes Uniformed Services University research on aggressive tumors, an award for expanding access to mental health care, and a new self-test for HPV.
Goodhue County health officials create action plan to address community issues
Goodhue County health officials will be working alongside community partners to promote crisis resources, expand peer-led support groups and increase provider access for mental health.
Road to Vostok's hot start on Steam has "secured the entire production budget" the Finnish survival shooter needs for "years to come", dev says
Road to Vostok, a Finnish survival shooter, has already secured the budget it needs for years to come following an early access release, its developer says.
A shooting shattered their family. Annapolis is playing politics with their grief.
Legislative bumps and political infighting in Annapolis shroud passage of a NyKayla Strawder memorial bill, a teen killed by a 9-year-old with access to his grandmother's gun.
Aetna Better Health® of Virginia opens new community resource center in Roanoke
Aetna Better Health of Virginia announces the opening of a new community resource center in Roanoke, expanding access to local health and wellness services.
In Search of Health Care Options for Real Estate Agents
Real estate professionals who work as independent contractors often face expensive health care choices, but brokers and associations are finding new ways to expand access and support agents’ financial well-being.
Shropshire new children's mental health service to tackle delays
The three year programme hopes to provide easier access, earlier support and more joined-up care.
Amazon Pulls Support for Perfectly Fine Older Kindles
In an email to customers, Amazon announced that it would be ending service for Kindle devices older than the 2012 edition. Those devices will lose access to the Kindle Store.
Trump’s personnel agency is asking for federal workers’ medical records
The Trump administration is quietly seeking unprecedented access to medical records for millions of federal workers and retirees, and their families.
Trump’s Personnel Agency Is Asking for Federal Workers’ Medical Records
By Amanda Seitz and Maia Rosenfeld | KFF Health News The Trump administration is quietly seeking unprecedented access to medical records for millions of federal workers and retirees, and their families. A brief notice from the Office of Personnel Management could dramatically change which personally ...
Access, AI and an aging population: ‘Business Report’ examines the state of Capital Region health care
Louisiana’s health care industry is contending with a convergence of pressures—an aging population, workforce shortages, access gaps and rapid technological change—and Business Report’s annual Trends in Health Care edition examines how Capital Region providers are responding. Here’s what you’ll find: AI is reshaping how care is delivered across the Capital Region. Area health care organizations […]
Alarm in health service over Palantir staff being given NHS email accounts
Exclusive: Sources believe AI tech company’s engineers have been granted access to directory of up to 1.5m staff
Forza Horizon 6 Preview: Collectibles, Seamless Races and Open World Design Make for the Most Explorable Adventure Yet
Forza Horizon 6 takes interconnectivity to a new level with seamless races and events, collectibles, and much more, all accessible from the game's stunning open world.
Avalara to Deliver Fully Embedded, Automated Sales Tax Compliance Tool to Small Businesses Within the Clover Platform
New integration brings seamless access to daily tax set-aside, real-time tracking, and guaranteed filing and remittance DURHAM, N.C., April 8, 2026 /PRNewswire/ -- Avalara, Inc., the agentic tax...
Update, safeguard Colorado’s mail ballot with voter ID
By Chuck Broerman and Suzanne Taheri Coloradans often refer to our state as a leader for accessible and secure elections. We have led on all-mail ballots, automatic voter registration, and same-day registration, turning Colorado into a model for modern elections while also increasing turnout and lowering costs. But leadership also means staying ahead of the […]
Preserving access for vulnerable communities should be a top priority in Congress
By Tony Henderson As both a minister and as president of the NAACP Denver, I believe access to high-quality, accessible health care is a right that should be afforded to each and every one of us. To that end, Medicare Advantage has become a critical component of our health system, helping secure access to care […]
South Carolina governor candidates tout infrastructure, growth at business forum
South Carolina’s crumbling roads, aging bridges and gaps in broadband access.
Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
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On plant health and embracing new plant-breeding techniques in South Africa
The major challenge currently confronting South Africa’s agriculture is the spread of foot-and-mouth disease. For many farmers across the country, the most urgent tasks are both securing sufficient vaccines and rolling them out quickly in the coming months, particularly as the beef and dairy industries continue to suffer big losses. There is also pressure on sheep, goats, and other livestock to prevent the disease from spreading. As efforts to get the country through this monumental challenge continue, I believe it is important to sharpen our focus on the broader task at hand: strengthening biosecurity. This covers both animal and plant health. In recent years, we haven’t focused much on plant health, except a few times, such as when we had a goss’s wilt scare in the maize industry, a few cases of citrus black spot, or cases of sclerotinia in sunflower seeds. But the fact that South Africa managed to control the outbreaks of these particular diseases when they occurred a few years ago was due to organized agricultural and government scientific capabilities, and, most importantly, the availability of crop protection or agrochemicals necessary to address some of them. Therefore, as the animal health division in the Department of Agriculture focuses on the pressing challenge of the day, the foot-and-mouth disease, there is an opportunity for the plant health division to assess if they have all the requirements to tackle any outbreak that may occur on fruits, vegetables or crops in future. The challenge with crop diseases is that they can spread quickly and cause much more rapid damage in the field than we typically see with livestock. Therefore, speed is everything in ensuring the appropriate controls are available. I raise this as an important area, particularly given the drastic climate variation we observe across the country. The production conditions in some areas have changed noticeably over time, which may introduce new risks. The other essential part is ensuring that South Africa has access to the best crop protection technology available in the market. Many technology developers worldwide have operations in South Africa. Therefore, the Department of Agriculture, along with the Agricultural Research Council, must continuously interact with technology developers to assess the various crop protection technologies they are releasing globally and determine their suitability and need in South Africa. This will require a proactive approach from the government, unlike the current approach, in which technology developers typically approach regulators with new technologies. The government, recognising the food security risks, must take a proactive approach to ensure that South African farmers have access to the latest crop protection technologies, thereby safeguarding the country’s food security. Beyond crop protection, we must never forget that South Africa’s agriculture is key to ensuring that the country is the most food-secure country at the national level in sub-Saharan Africa. South Africa is also the only African country in the top-40 global agricultural exporters, having more than doubled since 1994 on the back of the adoption of high-yielding seed cultivars. South Africa has been the only African country to adopt a bold approach to embracing science and adopting genetically engineered seeds for grains and oilseeds in the early 2000s. Since then, we have seen crop yields improve noticeably, contributing to the gains we mentioned above. But ensuring that South Africa improves further is not a given. The key lies in South African regulators’ attitudes towards new technologies. We have to maintain a progressive approach and not give in to the politics of non-food and non-scientific voices that shout on the sidelines. Food security is national security, and the government must ensure we progress, leaning on science. Therefore, the registration of high-yielding new genomic techniques is required. South Africa cannot afford to fall behind the EU, the USA, South America, and many of its competitors in global agriculture. The Department of Agriculture’s crop science division must adopt a progress-and-science-embracing approach for the good of the country. Thanks for reading AgriView! Subscribe for free to receive new posts and support my work. Subscribe Share
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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