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She told no one about her agony except ChatGPT. What her death reveals about AI risks
A 29-year-old woman confided her suicidal thoughts to an AI chatbot — not to her therapist, not to her parents, not to her best friend. What can AI learn from her death?
What researchers need to know about AI in scientific publishing
Artificial intelligence is changing scientific publishing, but it also raises questions about authorship, fabricated citations and data integrity. Learn about ASBMB editorial policies, common AI pitfalls and how researchers can use AI responsibly.
CLA Heartbeat Index Economic Confidence Meets AI Reality Check
CLA’s Heartbeat Index finds strong economic optimism as leaders weigh AI investments against measurable business value.
10 years to solve a mystery—AI cracked it in just 48 hours - Futura-Sciences
10 Years, One Mystery—and a 48-Hour AI Revelation For the last ten years, a dedicated team at Imperial College London had thrown themselves into one of the most urgent battles in modern medicine: figuring out the mechanism that allows certain bacteria to become resistant to antibiotics. The topic of ‘superbugs’—those...
What this summer’s AI rulings mean for your business
A $1.5 billion settlement. A German court holding Google liable for AI’s mistakes. A high-stakes legal fight over whether OpenAI can be forced to pay for training its models on
BCG's consultants are getting more technical as AI reshapes the firm
BCG wants consultants with strong AI skills, but says critical thinking and judgment matter more than ever.
AI can ensure Florida’s small businesses remain competitive
AI readiness is not only about acquiring technology. It is about preparing people to use it well.
An AI running an SF store fired an employee for the first time
Andon Labs, which is experimenting with letting an AI have majority control over a retail store, said that it fired an employee with good reason.
Medicare approves new technology add-on payment for inpatient radiology AI solution
The federal insurance program for seniors will pay a maximum of $137.53 per case for Aidoc's CARE (Clinical AI Reasoning Engine) Multi-Triage CT Body tool.
Stanford GSB Tops New AI Readiness Index; 42% of Business Schools Require No AI Coursework
A PR firm's new index scores 60 global B-schools on AI readiness and finds none teaches generative engine optimization.
Elon Musk: SpaceX’s AI Revenue Will Surpass Its Entire Space Business “Next Month”
Elon Musk just told SpaceX employees that a business most people have never heard of will soon dwarf rockets, Starlink, and every other revenue line the company has ever built, and he gave a specific month.
Elon Musk Says AI Will Be SpaceX's Biggest Business by September: Does the Math Check Out?
SpaceX (NASDAQ:SPCX) CEO Elon Musk says artificial intelligence will overtake everything else the company sells as soon as next month. In an all-hands meeting, Musk said AI revenue “will exceed all other SpaceX revenue probably in September, like next month,”...
Politics & Power: Big opportunities, real risks, ethics & oversight as AI reshapes the legal industry
AI can make legal work faster, cheaper, and more accessible, but it doesn't come without risk. The organizations that come out ahead won't just be the ones that adopt the best tools. They'll be the ones that pair those tools with clear oversight, honest communication with clients, and a genuine commitment to getting it right.
Canva’s Former CFO Says AI Cannot Fix A Broken Business
More than half of CEOs report no measurable AI return. The CFO who scaled Canva from $10 million to $2 billion says the problem was never the model you picked.
How The House Of Beautiful Business Is Building An Economy For The Post-AI World
The House of Beautiful Business built a 30,000-person community betting connection, not efficiency, is the real edge as AI reshapes work and business.
Opinion | The White House hopes AI replaces a lot of researchers
Basic scientific research gave the nation its technological edge. But the Trump administration is skeptical of the universities that do it.
Jackie the eagle’s health extremely serious despite small improvement
Jackie the bald eagle from Big Bear Lake remains in critical condition at the Ojai Raptor Center despite minor bloodwork improvements.
Watch the OpenAI Hugging Face presentation that has jaws dropping
OpenAI revealed that, ahead of the Hugging Face breach, agents repeatedly created their own message boards to communicate with one another.
Medicare pushes ACCESS but doesn't tell patients what providers offer it
In this edition: Progress report on ACCESS, Medicare's chronic care pilot, and health regulators courting industry on AI regulation.
Digital Science Rolls Out Papers AI Research Ecosystem
Digital Science unveiled Papers AI, an AI-native workspace for research writing, analysis, management, and collaboration.
Smart people in tech and business react to Google's AI restructuring
Opinions diverge on what it means for DeepMind's future as Google overhauls its AI leadership.
The startup idea that convinced a UW computer science legend to leave Google after 27 years
Jeff Dean, who earned his computer science Ph.D. at the University of Washington, is leaving Google after 27 years and taking three of the company's top AI researchers with him. Their startup, Discovery Loop, aims to automate the scientific method itself, and Google is helping fund it.
ICYMI: Sen. Banks Joins the Bottom Line on Fox Business Network
WASHINGTON, D.C. – Last night, Senator Jim Banks (R-Ind.) joined The Bottom Line on Fox Business Network to discuss the Senate’s priorities ahead of the August recess, the AI race, and how AI is reshaping government and the workforce. Click the image above for the full discussion. Key Excerpts on Senate priorities: Sen. Jim Banks (R-Ind.): “We have a full […]
Ted Leonsis co-founded Proxy Foods AI raises $6M
D.C. startup Proxy Foods AI raised $6 million in seed funding led by Ted Leonsis to expand its artificial intelligence platform for recipe development.
OpenAI reported 2 more incidents of rogue AI agents
External parties reported that OpenAI's AI agents had gone rogue during their evaluations.
Why AI giants’ political spending could balloon this fall
The fight over AI regulation, data centers and more will play a key role in the general elections.
Bears Training Camp Practice 5: Austin Booker Excels, Kyle Monangai Returns
Ojai Raptor Center shares health setback for Jackie the Big Bear bald eagle
The veterinary team caring for Big Bear bald eagle Jackie after she was injured in a scrap with another eagle shared a health update Monday on her recovery. Bloodwork showed a drop in packed cell volume (PCV), indicating her anemia has worsened since the eagle’s last health update, according to the Ojai Raptor Center. Anemia is a serious medical condition…
The US might lose the AI race to China. Should Americans care?
Everyone in Silicon Valley and the Beltway is freaked out about Chinese AI, but there’s less consensus on what to do about it.
METR, led by Beth Barnes, confront AI safety research talent shortage
METR, a Berkeley lab started by an ex-OpenAI researcher, has become a prominent AI umpire. CEO Beth Barnes says AI safety research needs more people.
Is AI Reasoning Right for the Wrong Reasons?
The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.
The four most important words in healthcare right now
These are the questions everyone should ask their doctor about AI right now.
The Real Reason AI Investments Fail To Transform The Business
Why AI strategies stall, and how leaders can improve AI ROI, redesign workflows and operating models, and turn agentic AI into lasting business transformation.
The new "science golden age" looks suspiciously like a grift
This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.
How AI Can Help Your Business Grow: Real-World Use Cases and Potential ROI
Learn how to evaluate AI ROI for business, explore AI use cases for business growth, and see how Windows 11 Pro PCs and Copilot+ PCs can support AI-enabled work.
El-Sayed in the hot seat for another foreign rental property, nearly $300K in additional income
Abdul El-Sayed released tax disclosures just hours before a debate, revealing a Dubai rental property and total assets worth up to $2.1 million.
Lilian Weng returns to OpenAI after leaving Thinking Machines Lab
Lilian Weng, a cofounder of Thinking Machines Lab, rejoins OpenAI to lead an AI research team that will aid the push for self-improving AI.
Clock is ticking on Colorado’s new AI rules
By Aashis Luitel On Jan. 1, organizations using covered automated systems must begin complying with Senate Bill 26-189, Colorado’s new Automated Decision-Making Technology Act. They can identify those systems and start building the processes the statute clearly requires. What they cannot do is confidently finalize two key pieces: the disclosures consumers must receive after an […]
AI race redraws Asian air cargo, replacing e-commerce as growth engine
The global race to build artificial intelligence is redrawing Asia's air cargo map, prompting airlines to redesign networks around growing semiconductor manufacturing hubs as cross-border e-commerce loses momentum.
Has AI reached the singularity? Experts disagree with Sam Altman
Sam Altman says we're in the singularity. Most of the AI academics and authors Business Insider spoke to say the bar has not been met.
Fighting alleged automated AI robot health insurance claim denials
HARRISBURG, Pa. (WHTM) — In a perfect world — and surely in the real world, even if reasonable people can disagree to what extent — the point of health insurance companies is clea…
OpenAI releases health bot amid lawsuit alleging faulty medical advice
If ChatGPT were a doctor, it would be "guilty of medical malpractice," a lawyer says.
OpenAI releases health bot amid lawsuit alleging faulty medical advice
If ChatGPT were a doctor, it would be "guilty of medical malpractice," a lawyer says.
WV Superintendent of Schools Launches First AI and Digital Science Framework in the Nation
Charleston, W.Va. - West Virginia Superintendent of Schools Michele L. Blatt will share the state’s Artificial Intelligence (AI) and Digital Science Framework with educators during professional development sessions at the Charleston Coliseum and Convention Center, Monday through Wednesday, July 27-29, 2026. The Framework, the first of its kind in the country, outlines an approach for digital science and AI literacy education that equips students with the knowledge, skills and credentials to succeed in this rapidly evolving workforce. It also offers educators a way to increase efficiencies in their work and better personalize learning for students.Earlier this year, Superintendent Blatt appeared before a U.S. House of Representatives Subcommittee to share the state’s strategy on addressing the use of AI while also protecting students, their data and educational integrity. The Framework is the result of years of planning, collaboration and development. Digital science encompasses the evolving fields of computer science, AI literacy, data reasoning, cybersecurity awareness, media literacy and the practical application of digital technologies. The framework equips educators to prepare students with the AI and digital science knowledge and skills needed to thrive in the workforce of the future.The West Virginia AI and Digital Science Framework establishes a statewide structure for sustained success. From policy to educator development and student learning, it defines how the state will implement digital science and AI readiness at scale. It serves two priority goals:Respond to the rapidly changing technology landscapeEstablish best practices as a leader for rural models of AI readiness, workforce development and digital science educationWith three statewide commitments, educators will be equipped with understanding and the tools to support implementation. These commitments are:Student Access - Every student will have access to AI literacy learning experiences and digital science instruction before graduationEducator Capacity - All counties will sustain local AI training capacity through a train-the-trainer modelWorkforce Alignment - Every approved pathway will connect to employer demand, postsecondary alignment, and portable or verified credentialsNext week, the West Virginia Department of Education (WVDE) will launch the framework during three educator and staff development sessions. These sessions include unique opportunities for new county central office hires, the Support, Appreciate, Invest, and Learn (SAIL) Conference, and the West Virginia Middle Schools: Bridging the Future Initiative launch. Each session is designed to meet the needs of K-12 educators, professionals, paraprofessionals, service personnel and others who serve in the education community.West Virginia is a national leader in developing a framework for AI and digital science education. We are determined to elevate our model because it prepares students and educators for the future. Our partners at Prodigy Learning and Microsoft understand this commitment and believe, as do we, that our work has national implications for accessibility and scalability because we are building systems that address learning at all levels that lead to post-graduation success.Michele L. Blatt, State Superintendent of SchoolsAs part of the partnership, Prodigy Learning is providing West Virginia educators, at no additional cost, their in-person and virtual training on all products and the materials required for license renewal.
Truck crashes into business along RAGBRAI route in Independence
Police confirmed there were no injuries and are working to learn what happened to cause the crash.
Saint Leo University merges business and technology colleges as AI reshapes workforce
The Pasco County university is merging two colleges as employers increasingly seek graduates with both technical and business expertise.
Radiology artificial intelligence marketplace CARPL.ai raises $10M
Founded in 2021, CARPL bills itself as the “world’s largest AI marketplace,” offering over 300 applications across 100-plus AI partners.
OpenAI relaunches Apple Health-connected ChatGPT feature with expanded access
OpenAI is relaunching Health in ChatGPT, the AI-powered feature that connects to Apple Health on iPhone. The relaunch comes with...
5 projects at UW–Madison aimed at transforming science and energy with AI receive DOE Genesis Mission funding
The projects, spanning fusion to critical minerals, are among 278 funded awards to national labs, companies, universities and non-profits in order to accelerate breakthroughs in energy, scientific discovery and national security through a new platform that combines AI, supercomputing, quantum systems and advanced scientific instruments.
Trump administration steers $5B toward AI research
The initiative marks a wider push to steer federal science funding toward AI-powered research and individual investigators.
Anthropic to donate $20 million to US political group that supports AI regulation
AI giant Anthropic will donate $20 million to a lobbying organization that supports AI regulation, according to a company statement released on Wednesday, its latest move to influence U.S. policy on the technology.
Anthropic to Donate $20 Million to US Political Group That Supports AI Regulation
WASHINGTON, July 22 (Reuters) - AI giant Anthropic will donate $20 million to a lobbying organization that supports AI regulation, according to a company statement released on Wednesday, its latest move to influence U.S. policy on the technology. The company is donating to Public First Action,
Anthropic's $1M gift expands Memphis nonprofit's AI and computer science education efforts
The AI research and development company Anthropic is investing $1 million to help expand computer science and AI education in the Mid-South through a gift to Memphis-based nonprofit Code Crew. Accord...
AI Researcher Receives $745K Bits to Bytes Award from Massachusetts Life Sciences Center to Create the World’s Largest Annotated Spleen Ultrasound Dataset
Principal Investigator (PI) Daniel Haehn, PhD, director of UMass Boston’s Artificial Intelligence (AI) Research Core Facility and an associate professor of computer science, will lead SPLEEN-US: Open Annotated Spleen Ultrasound Dataset for Precision Neuromodulation.
Americans are freaking out over China's open-source AI strategy
The latest AI model out of China is causing another meltdown in Silicon Valley, highlighting the divide over the right way to run the AI race.
Heat stroke, exhaustion biggest RAGBRAI concerns for county public health
The National Weather Service is predicting that Marshall County’s temperature and heat index – 92 degrees with a heat index of 101 – will persist and possibly increase on Monday. The high temperatures felt across the state will greet RAGBRAI riders as they start the journey on Sunday in Onawa. Once they reach Marshalltown on […]
Google and Apple are clashing with the EU over the future of AI assistants
Google and Apple have a big leg up in the AI race: their control of billions of smartphones around the world.
Is Big Tech spending more just to stand still in the AI race?
Big Tech's AI spending is soaring, but higher capex may reflect inflation as much as expansion this earnings season.
California doesn’t need to put an ‘Out of Business’ sign on AI innovation
California should be leading the AI revolution, not regulating itself onto the sidelines.
Why is OpenAI selling a ChatGPT basketball?
You may have heard that OpenAI released its first piece of hardware this week. You may not have heard about the ChatGPT basketball.
Amid hardware legal battle, OpenAI releases a $230 keyboard for Codex
OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.
Google AI researcher says he resigned over military contract
Alex Turner, a research scientist at Google DeepMind, said he tried to change Google executives' minds about working with the Pentagon.
Google AI researcher says he resigned over military contract
Alex Turner, a research scientist at Google DeepMind, said he tried to change Google executives' minds about working with the Pentagon.
Sony RX10 V Announced – 24-600mm ZEISS Zoom, AI Recognition AF, and 4K 120p Video
Sony RX10 V announced: 24-600mm ZEISS zoom, AI Recognition AF, and 4K 120p video.
OpenAI is discontinuing ChatGPT Atlas, its standalone desktop browser
ChatGPT Atlas, OpenAI’s standalone desktop browser, is being sunset in favor of the new ChatGPT desktop app. OpenAI released an...
Codex joins ChatGPT app as OpenAI releases GPT-5.6 models
OpenAI merges Codex into ChatGPT and launches GPT-5.6 models, aiming to enhance AI capabilities and compete in an increasingly crowded market.
OpenAI releases new voice models for more natural live conversations
OpenAI says its new voice mode can speak and listen at the same time, a key ability for live translation.
This 12-year-old created an AI receptionist to help small businesses
Mana Jampala is a Gen Alpha founder who is already building enterprise tools using ChatGPT and Claude Code.
OpenAI’s Chief Futurist Is Leaving the Company
Joshua Achiam spent nearly nine years at OpenAI researching AI safety and made a memorable appearance in the Musk v. Altman trial.
Can ChatGPT Be Your Therapist? USC Study Tests AI Responses to Mental Health Questions - USC Viterbi
USC Research Finds AI Strong in Empathy with Promising Potential for Mental Health Support, but Models Still Struggle With Safety Concerns
Anthropic's new "J-lens" reveals a silent workspace inside Claude that mirrors a leading theory of consciousness
Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, raising major questions about AI reasoning, interpretability, safety, and machine consciousness.
Is AI A Threat To Healthcare Jobs? Which Jobs Are And Aren’t At Risk
Will AI replace healthcare jobs? Not exactly. Learn which roles face the greatest disruption, which remain resilient, and how the workforce is evolving.
Artificial intelligence: Yann LeCun works on more flexible AI
Leading AI researcher Yan LeCun has a start-up which is developing a more flexible AI system.
AI Roadshow — An AI Ally for Human Health
Join Argonne National Laboratory and The International Museum for Surgical Science for An AI Ally for Human Health.
What 124 Future Business Leaders Really Think About AI and Work
Insights from 124 career assessments written by UMD-Smith graduate students show 98% expect artificial intelligence to transform, not eliminate, their careers. The analysis also found AI raises performance expectations while increasing demand for strategic thinking, AI literacy, ethical judgment and critical evaluation of AI-generated work.
Anthropic's New AI Workbench Mapped My Field For $26. Now Imagine It Aimed At The Rest Of Science
Anthropic's Claude Science is a capable AI research workbench built for molecular biology. The opportunities for the rest of science are enormous.
Benchmark Scores Don’t Break. Clinical Reality Does. The Health AI Readiness Illusion.
Nature Medicine's frontier AI evaluation exposes a dangerous gap: models acing medical benchmarks collapse under adversarial pressure, and the FDA has no…
Meaningful Outcomes Determine the Winners of the Health AI Race
Global investment in healthcare AI exceeded $18 billion in 2025, yet health systems still lack a shared understanding of the outcomes that investment should deliver. This paper argues that success in the health AI race will be determined not by technological sophistication but by which systems first identify and pursue the outcomes that matter most to patients, professionals and health systems. Without a shared language for defining and measuring what healthcare AI should deliver, systems risk optimizing for what is easiest to count rather than what matters most. This paper provides a framework for ensuring AI investment translates into real value for healthcare systems and the populations they serve.
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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