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Listen: With Little Federal Regulation, States Are Left To Shape the Rules on AI in Health Care
As artificial intelligence embeds itself into health care, some physicians and patient advocates worry it could be used by insurance companies to refuse payment for care. Maryland passed one law banning AI from acting alone on a denial. Meanwhile, Virginia’s then-governor vetoed that state’s attempt at regulating AI in health insurance.
CFTC Chairman Says AI Helps Agency Run More Like a Business
The Commodity Futures Trading Commission (CFTC) is using artificial intelligence to boost efficiency, CFTC Chairman Michael S. Selig told a congressional
Joel Connelly, longtime Seattle political columnist, dies
Former Seattle Post-Intelligencer columnist Joel Connelly was a respected political commentator and fierce defender of the Pacific Northwest's wilderness areas.
Intel's non-Ultra Core CPUs are new silicon this year for a change
For the first time in a while, the benefits of new Intel tech will trickle down.
OpenAI launches AI model GPT-Rosalind for life sciences research
OpenAI on Thursday introduced an artificial intelligence model touting increased biology knowledge and scientific research capabilities, as the startup deepens its push into the life sciences field.
Why so Americans are using AI for health guidance
Turning to artificial intelligence tools for health advice has become a habit for many other Americans, according to a West Health–Gallup Center on Healthcare in America poll published Wednesday.
Intel launches new Core Series 3 chips for mainstream laptops
The new chips promise all-day battery life and will be adopted by a number of brands throughout 2026.
OpenAI focuses on business users amid competition with rival Anthropic
OpenAI executives say they will introduce a new artificial intelligence model for “high-value professional work” as the company faces heightened competition with rival Anthropic in attracting corporate customers to adopt AI assistants in their workplaces.
Google adds Nano Banana-powered image generation to Gemini's Personal Intelligence
The feature will be initially available to paid users in the U.S.
Gemini app using Personal Intelligence, Photos for tailored Nano Banana generation
With the international expansion underway, Gemini is now bringing together Personal Intelligence, Google Photos, and Nano Banana 2.
Intel Just Launched Its Macbook Neo Competitor: Wildcat Lake For Everyday PCs
Intel just launched its highly anticipated Wildcat Lake "Core Series 3" SoCs, designed for everyday PCs & a strong competitor to MacBook Neo.
One in Four Use AI for Health Information
One in four US adults report using artificial intelligence tools or chatbots for physical or mental health information.
Artificial intelligence is reshaping environmental science into a predictive and precision-driven discipline
Artificial intelligence is rapidly transforming how scientists study and protect the environment, shifting the field from traditional observation toward predictive, data-driven discovery. A new perspective article highlights how emerging AI technologies are enabling a fundamental change in environmental research, opening the door to faster, smarter, and more integrated solutions to global challenges.
Intel launches Wildcat Lake: Core 7 360 gets 6 CPU cores and 2 Xe3 GPU cores
Intel launches Core non-Ultra Series 3 with Wildcat Lake die The competitor to Apple's MacBook Neo systems has arrived, I mean, that should be the
One week out from the NFL Draft: Intel, rumors and what we're hearing
One week before the 2026 NFL Draft, league sources outline the Jets' thinking at No. 2, a likely chaos candidate at No. 3 overall and the latest buzz on risers, trades and top prospects.
4 New Apple Intelligence Features Found in Apple Code, Likely in iOS 27
iOS 27 is likely to introduce at least four new Apple Intelligence features that function within system apps, based on backend code discovered by Nicolás Alvarez and confirmed by MacRumors. First up, Apple is expected to lean more heavily into Visual Intelligence in iOS 27, since the company is reportedly developing AI wearable devices that will leverage the feature. Apple is reportedly working on smart glasses, AirPods with cameras, and a wearable AI pin or pendant.
Chicago IP firm Marshall Gerstein names first new managing partner in 24 years
The election of Randall Rueth comes amid an explosion in the field of patent law and as artificial intelligence transforms the legal industry.
Russia spent extra $130 billion for goods while sanctioned: Latvia
The Latvian analysts said intelligence showed Russia's own forecasts warn it may lose another $136 billion just in trade by 2030 due to the sanctions.
ChatGPT maker OpenAI shifts its focus to business users amid Anthropic pressure
OpenAI executives say they will introduce a new artificial intelligence model for “high-value professional work” as the company faces heightened competition with rival Anthropic in attracting corporate customers to adopt AI assistants in their workplaces.
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Industry leaders speak about AI at Business Insider's The Long Play
Some of the buzziest names in superintelligence, media, health, and longevity got real about AI's impacts at Business Insider's The Long Play.
DNI Tulsi Gabbard sends criminal referral over Trump’s 2019 impeachment to Justice Department
Director of National Intelligence Tulsi Gabbard sent at least one criminal referral to the Justice Department seeking investigations of a whistleblower complaint and its handling by the intelligence community watchdog that led to the 2019 impeachment of President Donald Trump, a spokesperson for Gabbard’s office confirmed Wednesday.
Apple Pushes Siri Programmers to Adopt AI Coding Tools
Apple plans to send “a significant chunk” of its Siri programmers to a weekslong bootcamp to learn to code using artificial intelligence, The Information
China doubles ‘AI for science’ computing scale in 2 months using no US chips
The Zhengzhou core node becomes the country’s most powerful scientific intelligent computing infrastructure, CCTV says.
This Superintelligent Brain Sleeps, Develops a Personality—And Eventually Dies. Is the Singularity Here?
AI could become much less artificial—and much more organic.
Microsoft prepares display upgrades and two stage launch for new Surface Pro and Surface Laptop with Intel and Snapdragon chips this year
New Surface PCs from Microsoft will consist of new chips, display upgrades, and higher starting prices this spring and summer.
UCF receives $50 million from business alum, largest gift in school history
Barry Miller’s gift will help the business college hire new faculty members in fields such as artificial intelligence and cyber security.
BizTalk: Innovators and Healthcare Professionals Convene in Arlington
Leaders in healthcare, technology and research gathered in Arlington last month to explore how artificial intelligence is shaping the future of patient care. The Healthcare + AI Forum, held March 26 at Arlington Economic Development (AED), brought together healthcare professionals, researchers, entrepreneurs and industry leaders to discuss real-world applications of AI in healthcare, from clinical
How Meta’s little-known chip business fits in with Zuckerberg’s ‘superintelligence’ ambitions
Taking a page from Google’s and Amazon’s books, Meta is racing to vertically integrate its AI infrastructure with its Broadcom deal.
Can Europe create artificial intelligence that we actually understand?
Artificial intelligence is currently controlled by a number of tech giants in the United States and China. One professor believes Europe can choose to take a smarter and more democratic path.
HealPort Raises 1.2M USD to Scale Global Digital Health Infrastructure
MUSCAT, Oman, April 15, 2026 (GLOBE NEWSWIRE) -- HealPort announced that it has raised $1.2 million in funding to accelerate development and deployment of its integrated platforms and supporting infrastructure designed to help governments, health agencies, and institutions strengthen health system intelligence, planning, and decision-making. The funding will be allocated to three priorities: infrastructure development and integration, global ecosystem expansion, and establishing HealPort as the
AAAS Mass Media Science & Engineering Fellowship welcomes 2026 fellows | American Association for the Advancement of Science (AAAS)
Fifteen early career scientists — spanning research areas from medical artificial intelligence to exoplanets to bug science — will join newsrooms around the country and in Puerto Rico this summer to contribute their skills towards increased public understanding of science and technology.
Snap says it will lay off 16% of its global workforce. Read the memo.
CEO Evan Spiegel said Snap would cut 1,000 employees, 16% of its global workforce, citing "rapid advancements in artificial intelligence."
Polls show why many Americans are turning to AI for health advice
Many Americans are turning to artificial intelligence tools such as ChatGPT for health advice. A Gallup poll out Wednesday found that about 1 in 4 U.S. adults had used AI for health information in the past month.
Why many Americans are turning to AI for health advice, according to recent polls
Many Americans are turning to artificial intelligence tools such as ChatGPT for health advice.
Why many Americans are turning to AI for health advice, according to recent polls
Many Americans are turning to artificial intelligence tools such as ChatGPT for health advice.
Local High School Students Get A Taste Of The Business World
WEIRTON — More than 80 area high school juniors got a chance to step into the business world Tuesday with help from the Weirton Area Chamber of Commerce. The chamber welcomed students from Brooke, Madonna, Oak Glen, Weir, Indian Creek and Steubenville high schools to the annual Dr. Barbara A. Matey High School Business Symposium, […]
Lakers prepare for Rockets playoff series with emphasis on rebounding
Without Luka Doncic and Austin Reaves sidelined indefintely, coach JJ Redick says "taking care of the basketball and boxing out. That's the series."
Gemini app starts rolling out Personal Intelligence globally
After the US launch, Google is bringing Personal Intelligence to Gemini users around the world (excluding Europe).
Adopting, advancing and adapting to AI
In Penn State's Eberly College of Science, researchers are leveraging AI in a myriad of applications and instructors are finding innovative ways to incorporate AI into their classrooms. But what is artificial intelligence, and are people really talking about the same thing when they say AI?
Google brings its Gemini Personal Intelligence feature to India
The feature lets users connect Google accounts like Gmail and Photos to get personalized answers
Q&A with chemist Max Delferro: Unlocking breakthroughs in catalytic science
In this Q&A, chemist Max Delferro explains how his team is combining catalysis, artificial intelligence and robotics to speed chemical discovery — cutting catalyst development from decades to years while advancing more efficient industrial processes.
Q&A with chemist Max Delferro: Unlocking breakthroughs in catalytic science
In this Q&A, chemist Max Delferro explains how his team is combining catalysis, artificial intelligence and robotics to speed chemical discovery — cutting catalyst development from decades to years while advancing more efficient industrial processes.
I Feel So Sorry for My A.I. Sunglasses
Plenty of people hate Mark Zuckerberg’s superintelligent, supercharged spectacles. I was ready to hate them, too.
From War Hero to Politics, Zelenskiy’s Top Aide Steps out of the Shadows
Kyrylo Budanov was taken from military intelligence to run Ukraine’s presidential office. It’s a political post that has Kyiv powerbrokers speculating over his future career path.
Intel May Have an Answer to AMD's Most Powerful Gaming CPUs
The Intel and AMD CPU rivalry is getting exciting again.
Smart Adhesive Is Key to Crease-Free Foldable iPhone Display
Advances in optically clear adhesive (OCA) will be a key factor in achieving a near-invisible crease in Apple's first foldable iPhone expected later this year, according to TrendForce. The supply chain intelligence firm outlined the key technologies in a new report on foldable display innovation, explaining that creases form when layers within the display panel fall out of alignment, concentrating stress at the fold and causing micro-cracks or permanent deformation over time.
Entrepreneurship was never easy, but it doesn’t need to be relentless
Why entrepreneurs and small business owners struggle with mental health, and how intelligent systems can improve that.
US intel officials scramble to keep surveillance law running amid Iran war tensions
With just days until a powerful surveillance law lapses, US national security officials are scrambling to prepare for potential blind spots in intelligence collection amid the US’ delicate ceasefire with Iran, current and former officials told CNN.
Watch: As AI Makes More Health Coverage Decisions, The Risks To Patients Grow
This year, executives from nearly every major health insurance company made the same declaration in calls with Wall Street analysts: Using artificial intelligence to make coverage decisions would help save them money.
What Does Artificial Intelligence Really Mean for Global Politics?
As AI increasingly plays a central role in conflict and war, experts discuss its long-term impact on global politics.
Exclusive: Intel Core Ultra 400 "Nova Lake-S" preliminary SKU list leaked: 6 to 52 cores, DDR5-8000 and forward socket compatibility
Intel Nova Lake-S leak confirms DDR5-8000, NPU6 and 175W desktop SKUs Recently we got a chance to look at updated Nova Lake-S roadmaps. You have already
Eight years later, Apple quietly shuts the door on AI chief John Giannandrea
Since his retirement was announced in 2025, Apple Intelligence head John Giannandrea has been reduced to the role of an advisor, but is now expected to exit Apple Park shortly.
Pulling Reports, Playing Politics
The CIA’s retraction of intelligence reports should raise concerns about politicization and the Trump administration’s embrace of white supremacist rhetoric.
“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.
Insights from CLI: Tracking AI's Impact on Offices and Business Parks in APAC
April 11, 2026 -- Artificial intelligence (AI) will be one of the most consequential technological shifts of the current era. It will fundamenta...
Exclusive: US intelligence indicates China is preparing weapons shipment to Iran amid fragile ceasefire, sources say
US intelligence indicates that China is preparing to deliver new air defense systems to Iran within the next few weeks, according to three people familiar with recent intelligence assessments.
Iran Unable to Find Mines in Strait of Hormuz, U.S. Says
The lost mines have prevented Iran from quickly complying with President Trump’s demand to allow more ships to pass through the waterway.
How OpenAI's reported ad plans could change the AI business model
OpenAI (OPAI.PVT) is reportedly projecting $100 billion in advertising revenue by 2030. Yahoo Finance Technology Editor Dan Howley explains how this could shift the artificial intelligence (AI) business model.
Cenkusha Launches C1: An AI-Enabled Business Management System that Reveals How Value Flows in Organizations
Cenkusha is a technology company that provides the organizational nervous system and structural backbone that modern enterprises need to operate intelligently in an increasingly complex world.
Part 1: From science fiction to stark reality: A free film and forum on AI
This is part one of a two-part series that will examine a growing public curiosity and concern about artificial intelligence and offer the community an opportunity to use examples from
Watch: As AI Makes More Health Coverage Decisions, the Risks to Patients Grow
Major health insurers and even Medicare are using artificial intelligence to make coverage decisions. But class action lawsuits have accused insurers of using AI to wrongfully withhold treatment, and new research illuminates the risks.
Laptops Are About to Get Very Exciting Again... Thanks to Nvidia
Nvidia is about to throw another wrench into laptops led by Intel, AMD, and Qualcomm.
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.
Questioning the Science Experts: Is It Even Permitted?
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GUEST COLUMN: NC State students turn their campus experiences into a business
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Secretly Distribution acquires music data and analytics firms Entertainment Intelligence and Babel Ops
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SGMC Health Enhances Hip Replacement Surgery with IntelliJoint® HIP Technology
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The Boundless Deep: Young Tennyson, Science, and the Crisis of Belief by Richard Holmes
Pantheon Review by Walter Cummins The image of Alfred Tennyson I’ve carried for decades goes back to the childhood card game of Authors that depicts him with a stately continence sharpened by a jutting black beard. He’s formidable, his aura superior. Holmes opens his biography of the youthful Tennyson by describing the similar formality of the imposing Tennyson statue at Trinty College Cambridge, sharing the honor with other Trinity greats, including Isaac Newton, Francis Bacon, and Thomas Babington Macaulay. Holmes doesn’t want to chip away at that statue but rather reveal its inner youthful core of the man—tall, handsome, and talented but unformed, emerging from a disturbed family of addicted or insane male siblings and four unusual sisters struggling under a violent alcoholic clergyman father. Alfred was certainly statuesque, but would he end up a block of unformed stone like his equally promising brothers? He was youngest of three equally regarded Tennyson brothers at Cambridge, all bright, handsome, and talented, in fact Alfred regarded by some as less promising than his elders who also wrote poetry. Yet Alfred wrote one of his major poems, “The Kraken,” at twenty, revealing both his talent, his interest in geological forces, and the haunting creature that embodied his anxieties. While Holmes focuses on Tennyson of the 1830s and 1840s, he can’t tell his story without exploring his involvement with the Victorian intellectual upheaval. Tennyson was fascinated by new scientific perspectives, following the latest findings as soon as books and articles were published. He was especially taken with Charles Lyell’s deep studies of geology and the discovery of fossils and a timeline of the planet’s development that did much to question fundamental religious assumptions. The impact of these discoveries is reflected in Tennyson’s poetry and led to the crisis in belief he shared with so many contemporaries. He was especially taken by the cycles of destruction and renewal that informed the struggles he confronted in In Memoriam, Maud, and Idylls of the King. Tennyson was only one of the eventual major figures at Cambridge at the same time, young men just beginning to realize their potential. Charles Darwin was at Christ College, although there is no evidence that he and Tennyson even met as students or later in life. Yet evolution became significant in Tennyson’s thinking and the issues of his poetry. One of Tennyson’s best and most important Cambridge friends was Edward FitzGerald, who became the translator of The Rubáiyát of Omar Khayyám and in their on and off relationship served as Tennyson’s harshest critic. FitzGerald was also a friend of the novelist William Makepeace Thackeray, the two of them partying in Paris as undergraduates. That connection led to a friendship between Thackeray and Tennyson. Others who came to play significant roles in Tennyson’s life were Thomas Carlyle, the Brownings, and the Pre-Raphaelites. Tennyson’s deepest friend at college was Arthur Hallam, who at twenty wrote a glowing review of Tennyson’s first poetry collection, travelled on European adventures with him, and fell in love with his sister Emily. Hallam was also regarded as one more very promising Cambridge student. His sudden death at twenty-two in Vienna from a stroke while travelling with his father devastated many friends, but perhaps Tennyson most of all. He did not write immediate poems of grief but took years to compile those collected in In Memoriam A.H.H., published in 1850, almost twenty years after Hallam’s death For all of Tennyson’s early poetic successes and successes, Holmes reveals him as an often troubled young man suffering periods of depression, fearing planetary upheaval, concerned about supporting himself, disappointed in romances, and worried that he would inherit the family’s mental illness tendencies. Yet despite his seeming withdrawals, he was always writing poetry that he kept private and would not let go, constantly revising. 1850 became a transformative year for Tennyson. He finally consented to publishing In Memoriam with a last-minute prologue that acknowledged God and perhaps convinced the religious Emily Sellwood to marry him after years of pursuit.. He opened up to Emily, revealing his struggles with fears of depression and “weird seizures.” The devastating event of that time was the stillborn death of his unnamed first son. It shook him, but Emily’s faith brought them closer and convinced him to believe in an afterlife. Two later sons survived. With the death of William Wordworth in April of 1950, Tennyson was named poet laureate at age forty-one, reluctantly accepting. It’s as if Tennyson’s life split in half in that year. He lived another forty years, now a recognized success, with the prestige of being an official poet writing patriotic verse, wealthy and revered, no longer the insecure young man seeking an outlet for his immense talent. He earned a place in the Authors deck, now dignified and in 1884 elevated to the peerage as Arthur, Lord Tennyson. Richard Holmes is the author of twenty previous books on the Romantics and Victorians, several of which received awards. The Boundless Deep was shortlisted for the 2025 Baillie Gifford Prize for Non-Fiction. He captures the complex vicissitudes of Tennyson’s youth, illustrated by frequent excerpts from the poetry, placing that life in the full context of the shattering discoveries that led to an upheaval of thought in the Victorian age.
How Trump Took the U.S. to War With Iran
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Qualcomm Snapdragon X2 Elite Extreme Analysis, Benchmarks & Efficiency - Serious rival for Apple and a problem for AMD & Intel
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Business in Brief: New Van Ness businesses; Intelsat auction canceled; Whale Tea rebrands; I’m Eddie Cano bankruptcy update | Forest Hills Connection | News and Life in Our DC Neighborhood
Some Forest Hills Connection reporting involves poking our heads through open doors. Doing so recently yielded the news that the last remaining vacant retail space at Park Van Ness (4455 Connecticut Avenue) has been leased to an IV hydration spa. A contractor getting the space ready told us Hydralive Therapy is moving in. Similarly, we […]
Google Adds Mental Health Tools to Gemini Chatbot After Lawsuit
Alphabet Inc.’s Google plans to introduce new mental health support features for its Gemini chatbot as the company and rivals, like OpenAI, have faced several lawsuits accusing their artificial intelligence tools of leading to harm.
Google Adds Mental Health Tools to Gemini Chatbot After Lawsuit
Alphabet Inc.’s Google plans to introduce new mental health support features for its Gemini chatbot as the company and rivals, like OpenAI, have faced several lawsuits accusing their artificial intelligence tools of leading to harm.
MAGA Is Winning Its War Against U.S. Science
Source: NBER With all the other terrible news right now, you may not have noticed that Donald Trump is in the process of killing American science. OK, that’s an exaggeration — but not that much of an exaggeration. The Trump administration’s latest budget proposal calls for a gigantic increase in military spending combined with severe cuts to social programs. But as the chart above shows, it also calls for debilitating reductions in research funding. Furthermore, Trump appointees have already been strangling science by sharply reducing the rate at which research grants are approved. Here, for example, is the number of new grants approved by the National Science Foundation: Source: Nature Large numbers of existing grants have also been frozen or terminated, especially in the study of infectious diseases. Add to this a sharp drop in visas issued to foreign students, who often play a direct role in research and who help support academic departments that do research: Put all of this together, and much U.S. scientific research is set to come to a screeching halt — not a few years from now, but over the course of the next year or two. This new assault on U.S. science is taking place at a time when the role of American science in the world has already been greatly eroded. The chart below, based on research recently reported by the National Bureau of Economic Research, measures national strength in science by the share of publications in highly ranked journals. In the 1990s the United States had more such publications than the rest of the world combined. Since then we’ve dropped into third place — well behind China and slightly below the European Union. And this was before the Trump administration’s attack on science had time to take its full effect. Source Some erosion in U.S. scientific preeminence was inevitable given China’s growing sophistication and wealth. But we’ve also fallen behind Europe, even though everyone says that Europe is lagging economically and technologically. Claims about Europe’s underperformance are, in fact, dubious if one looks hard at the data. But it’s still striking to see America lagging. What’s going on? There are presumably multiple factors behind America’s scientific lag. But even before Trump II the growing hostility of the U.S. right to science surely had some negative effect. And since the rise of MAGA G.O.P. attitudes toward science in general have become overwhelmingly hostile. This is true even for the Republican rank and file: And while I haven’t been able to find good survey data, it’s obvious that the anti-science turn has been even more pronounced — and began earlier — among the Republican political elite. Chris Mooney published The Republican War on Science in 2005, and even then was describing a longstanding trend. Why have Republicans turned so anti-science? Part of the answer is that they believe that scientists don’t support them. And they’re right! A study of who scientists give money to shows that only a small percentage gave money to Republicans even 20 years ago, and that almost none of them donate to Republicans now: Social scientists have always been strongly pro-Democratic, while there used to be a significant number of physical, “hard” scientists supporting the GOP. But these days physicists are almost as uniformly Democratic, or at least non-Republican, as sociologists. Why are there almost no Republican scientists? It’s not a mystery. GOP political orthodoxy includes positions that are at odds with the scientific consensus on multiple issues, ranging from the validity of the theory of evolution, to the reality of climate change, to the efficacy and safety of vaccines. In each case the scientific consensus is solidly grounded in evidence. But even before the rise of MAGA the U.S. right was increasingly hostile to evidence-based policymaking — especially, of course, where the evidence is unfavorable to fossil fuel interests or quack medicine, both financial mainstays of right-wing politics. So scientists don’t support Republicans, and the feeling is mutual. Today’s Republican Party doesn’t like science or scientists. It doesn’t like having its preconceived views challenged by appeals to evidence. It knows that very few scientists are on its side electorally. In general, it sees scientific research as a threat to its grasp on political power. Add in MAGA’s combination of rabid anti-intellectualism and allergy to any hint of criticism, and one has the makings of a drastic anti-science turn in policy. “Ignorance is strength” might was well be an official MAGA motto. And as I said, we aren’t talking about something that will happen over the course of multiple years: The U.S. scientific enterprise is threatened with severe damage, even collapse, over just the next year. There are many reasons to find this prospect horrifying: Think of all the beneficial advances, affecting almost every part of life, that won’t happen because U.S. science — still crucial to the world — has been eviscerated. But think, also, of America’s international standing. Can a nation that has forfeited its role as a leader, or even a contender, in global science, still be a Great Power? No. MUSICAL CODA
Americans May Be Losing Trust for AI in Health Care: Survey
By Dennis Thompson HealthDay ReporterTUESDAY, April 7, 2026 (HealthDay News) — The number of Americans who want artificial intelligence (AI) involved in their health care is declining, a new survey says. Only 42% are open to AI being used as part of their care, down from 52% in 2024, according to ...
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ASU research looks to help Valley small businesses adapt to AI
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Public trust in AI in health care is slipping, survey finds
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Zhou earns CAREER Award from the National Science Foundation
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Science Will Win season finale explores AI in cancer care with Pfizer Chief Oncology Officer Jeff Legos
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Meet the MAGA Intellectual on Hungary’s Payroll
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Linux 7.1 is finally ending support for Intel's 37-year-old 486 processor
Sorry to all six people still using one.
Linux 7.1 Expected To Begin Removing i486 CPU Support
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