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Novo Nordisk Taps Anthropic’s Claude Science To Speed Up Drug Discovery — Here’s Everything Investors Need To Know
Novo will use Anthropic’s Claude Science in R&D to tackle scientific and drug discovery challenges, aiming to develop new medicines faster.
Novo Nordisk Taps Anthropic’s Claude Science To Speed Up Drug Discovery — Here’s Everything Investors Need To Know
Novo will use Anthropic’s Claude Science in R&D to tackle scientific and drug discovery challenges, aiming to develop new medicines faster.
Expensify in Integration With Anthropic
Expense management provider one of first to connect with Claude for Small Business
Bessent says US needs more open-source AI models to compete with China
Treasury Secretary Scott Bessent cited Anthropic's Mythos model as a step toward AGI and urged Congress to develop open source AI against China.
OpenAI says it’s working with Anthropic, Google on AI safety
OpenAI is working on steps to address artificial intelligence safety issues with its top competitors Anthropic PBC and Google DeepMind, escalating industry efforts to respond to a groundswell of concern
The AI Race Is Moving Too Fast, Its Leaders Warn. Will Anyone Slow Down?
The race to build more powerful AI systems has been moving at breakneck speed. Billions are being spent, new models are arriving every few months, and the biggest AI companies are competing to stay ahead. But now, some of the people leading that race are saying it may be time to slow things down. Anthropic […]
Google finally lets all engineers use Anthropic's Claude
Google engineers can finally use one of Anthropic's strongest coding models for internal work.
Some AI leaders want more safeguards. Is there political will to make that happen?
In recent days, warnings and risks surrounding AI have taken an existential turn. A former Anthropic employee stated that "the people building AI earnestly believe that it could kill us all by the end of the decade." And Anthropic's CEO urged AI companies to "pace the frontier" in developing new technologies.But is there political will to make that happen?This episode was produced by Sophia Paliza-Carre and Karen Zamora, with audio engineering by Tiffany Vera Castro. Our director is Jonas Adams.It was edited by Kara Platoni, Brett Neely, Rebekah Metzler, Sarah Handel and Tinbete Ermyas.Our interim executive producer is Courtney Dorning.Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org.
Anthropic's AI panic has finally reached Congress
California lawmakers are demanding Congress pass AI safety laws.
Why Jacob Coxon's viral AI warning could boost his career
Jacob Coxon quit Anthropic to warn that AI could threaten humanity. Recruiters say his viral post may have made him one of tech's hottest hires.
Trump Rejects Talk of A.I. Regulation and Calls Out Anthropic’s CEO
The president again rejected calls to try to regulate the industry, even as some of its leaders are speaking more openly about the risks of rapidly developing artificial intelligence.
Top AI companies have discussed creating their own standards body
Anthropic, Google and OpenAI have discussed creating an AI industry standards body, people familiar with the situation told CNN.
AI warnings spark decline in tech stocks, Nvidia slides
AI warnings from Anthropic's Dario Amodei impact tech stocks like Nvidia, SpaceX, and Microsoft, causing a premarket decline.
Anthropic tells investors it will be profitable for second straight quarter, FT reports
Anthropic has told shareholders that its adjusted operating income will be positive for a second straight quarter, the Financial Times reported on Sunday, citing multiple people with knowledge of the matter.
What smart people say about calls from AI leaders to slow it all down
Anthropic CEO Dario Amodei called for a slowdown of frontier AI, winning support from Sam Altman, Elon Musk, and Demis Hassabis — but not everyone.
Political debate over AI intensifies amid warnings about ‘catastrophic risk’
(CNN) — The debate around artificial intelligence is ramping up in Washington, with Democratic lawmakers sounding alarms on the dangers they say the technology poses and Republican leaders suggesting those concerns are inflated and secondary to winning the AI race with China.Some Democratic lawmakers last week pressured House Speaker Mike Johnson to reconvene the chamber immediately to work on AI regulation, citing what they describe as the “catastrophic risk posed by advanced artificial intelligence.” But the Louisiana Republican on Sunday resisted those calls, instead saying industry leaders should meet with lawmakers to find “balance” in any potential guardrails.“If Congress just races in and does some sort of emergency session to try to regulate AI, we will lose the race to China, and that is a threat to every single American,” Johnson said on CNN’s “State of the Union.”Meanwhile, former President Barack Obama told Democrats to make artificial intelligence regulation a central part of their agenda during a private fundraiser Thursday, warning that the technology could be dangerous “if we don’t get on top of it.”In a fireside chat with House Democratic Leader Hakeem Jeffries, Obama said whoever runs in the 2028 presidential election should have a “very clear plan” on AI, adding that he saw the need for a “blueprint” on AI guardrails even at the end of his presidency a decade ago.“Certainly, if I were running for president next year, this would be one of my central agendas, and I would have a very clear plan, and I would talk about this, and I would say, ‘Here’s our plan for safety, here’s our plan for making sure our kids are not corrupted by this,’” he said, per excerpts of the remarks provided to CNN by his office. Obama’s remarks were first reported by the New York Times.Concerns over the rapid acceleration of AI reached a fever pitch after Anthropic CEO Dario Amodei wrote in a 3,800-word essay Saturday that the race to develop artificial intelligence is in dire need of a slowdown. The call to action came after an OpenAI test model breached the Hugging Face online platform, deepening concerns about cybersecurity.In an exclusive interview with CNN’s Anderson Cooper on Saturday, Amodei called on industry leaders to work together to avoid “the wrong paths” and the possibility of AI harming humanity.One Anthropic researcher, Jacob Coxon, resigned from the firm over worries that the industry wasn’t doing enough to prevent AI from destroying humanity by the end of the decade.Obama said Democrats need a plan to get their agenda on AI underway should they win the House majority in this year’s midterms.Speaking to Jeffries, who is presumed to be speaker of the House should Democrats prevail in November, Obama said, “Once you are speaker, I would strongly urge that the Democrats put together a framework for a very public conversation, and you can break it out into three or four or five issues.”Obama stressed that the framework should be centered on the reality that the technology can’t be stuffed “back into a box.”“This is something that is moving very fast in private hands, and if we don’t get on top of it, I think can be dangerous. If we do get on top of it, I do think it’s beneficial,” Obama said, laying out examples of AI’s potential use in drug development and finding pathways to a clean energy future.“We don’t want to shut off those opportunities, but we have to understand that this is a tool,” he said.Jeffries agreed with the former president in a statement provided to CNN on Sunday.“President Obama is correct that decisive action must be taken on Artificial Intelligence,” he said, adding, “In the majority, we will move urgently on this issue with a legislative response that recognizes the importance of American companies continuing to lead in the Artificial Intelligence area, while putting in place meaningful guardrails that protect the American people from bad actors and the very real damage that can be done to humanity.”Jeffries also accused Republicans of having “abdicated their responsibility to govern” and said Democrats “will not repeat their error.”A source familiar with Obama’s thinking said the former president sees Amodei’s letter and similar reaction from other tech moguls as an encouraging development.But President Donald Trump waved off their concerns, saying he is not worried about any existential threat posed by AI, focusing instead on the US winning in its development of the technology over China.“We’re leading China in AI. We’re the most sophisticated country in the world, and frankly, I want to keep it that way,” Trump said to reporters at the Amgen Irish Open on Sunday.About the concerns expressed by Democrats and others over the technology, the president said, “I think you have a lot of negative forces that are bringing it up that shouldn’t be bringing it up, and they’re bringing up things that won’t happen.”One of Trump’s top economic advisers, Kevin Hassett, also rejected the calls for slowing the technology down, saying on Sunday the bigger concern is a scenario in which a “malevolent actor has access to an AI that’s better than the one we have that can protect us.”Hassett, the National Economic Council director, said on “State of the Union” the White House may hold meetings this week about addressing Amodei’s concerns, but he did not specify whether Trump had floated greater safeguards.“I have concerns that if we don’t win AI, we’re going to be put in a very bad position,” Hassett said. “We are leading China right now.”CNN’s Alison Main and Molly English contributed to this report.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.
Anthropic selects Nasdaq for IPO, Business Insider reports
U.S. tech startup Anthropic has selected Nasdaq for its potential initial public offering, Business Insider reported on Sunday, citing a person familiar with the company's plans.
Anthropic selects Nasdaq for IPO, Business Insider reports
Sept 13 (Reuters) - U.S. tech startup Anthropic has selected Nasdaq for its potential initial public offering, Business Insider reported on Sunday, citing a person familiar with the company's plans. (Reporting by Ananya Palyekar in B...
Anthropic selects Nasdaq for IPO amid AI risk concerns
Anthropic is eyeing a $2 trillion IPO in October amid AI safety concerns.
Futures Loom, Fed Ahead; AI Leaders Urge Slowdown
Anthropic CEO Dario Amodei wants to "slow the pace" of improving advanced AI models. Sam Altman and Elon Musk agree.
Broadcom’s Anthropic Ramp Puts Google’s TPU Business in a Different Light
Broadcom’s September 2 results show custom AI hardware turning into substantial sales. On the accompanying call, management said it expected to accelerate Ironwood shipments to Anthropic in the fourth quarter. That puts Google’s TPU technology at the center of a relationship whose economics differ for Broadcom Inc. (NASDAQ:AVGO) and Alphabet Inc. (NASDAQ:GOOGL). Broadcom can sell […]
Business Tech Roundup: Will AI Kill Us In The Next Few Years?
An Anthropic researcher has a warning, ChatGPT helps people draw better and Pinterest rolls out new tools. Meta launches Muse.
Breaking down the dire warnings about AI's risks to humanity — and what experts says should be done about it
A dire warning from an outgoing researcher at Anthropic that AI could "kill all humans" by the end of the decade led to public outcry over the dangers posed by the technology's rapid development. It's raised questions about why some experts believe AI poses such an extreme risk, and how it could lead to the demise of humanity.
AI Is Running Laps Around Our Political System
The technology is moving faster than elected officials can handle—and Anthropic’s CEO says the industry should slow down.
Amodei, Altman, and Musk rally around call to slow AI down
Anthropic CEO Dario Amodei called for an AI slowdown on Saturday. OpenAI CEO Sam Altman and SpaceXAI CEO Elon Musk, and others, also chimed in.
Anthropic CEO Dario Amodei says AI industry needs to slow down for safety
The CEO of Anthropic said the artificial-intelligence industry should slow its fast-moving development to give safety measures time to catch up.
Dario Amodei says he's now 'convinced' world should slow AI's advance
Anthropic CEO Dario Amodei said in a new essay on Saturday that he's 'become convinced' in recent months that AI development needs to slow down.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Who Benefits from Apocalyptic Claims About AI?
Anthropic researcher Jacob Coxon quit and posted at X last Tuesday, to over 25 million views, that “No other human activity poses this level of danger.”
Hugging Face CEO dismisses ex-Anthropic researcher's AI warnings
"Sorry, but asking Jacob about AI extinction risk is like asking your AC guy about climate change," Hugging Face CEO Clement Delangue wrote on X.
Anthropic Signs 24,000-Square-Foot Lease in Cambridge, Drawn by Proximity to Life Science Research
Anthropic Signs 24,000-Square-Foot Lease in Cambridge, Drawn by Proximity to Life Science Research
Demystifying Anthropic's J-Space: A Mathematical Primer
Clarifying the math behind Anthropic’s representation workspace
China AI labs routed requests to Claude 35 million times: Anthropic
Anthropic said Alibaba, Moonshot, Zhipu, DeepSeek, and Xiaomi all tried to use Claude to train their models in various ways.
Jothy Narendran
Jothy Narendran, co-managing partner of Jaspan Schlesinger Narendran, continues to be recognized as a leader in both the legal and philanthropic communities.
2025-26 Record Fundraising Year for Life Sciences at UC Davis
The University of California, Davis, raised more than $676 million in philanthropic support during fiscal year 2025–26, more than doubling the university's previous giving record and marking the strongest fundraising year in its history.Donors’ unprecedented level of investment in UC Davis will expand opportunities for students, strengthen faculty excellence, accelerate discoveries that improve lives, and support new facilities and programs that elevate the university’s impact across California and beyond.
Anthropic says it blocked possible efforts to use AI for biological weapons development, Iran-linked cases
The company detailed five cases involving potentially dangerous biological research, saying it banned the associated accounts and strengthened its safeguards.
Anthropic reports it blocked potential bioweapons research
Anthropic intervened in multiple attempts by scientists and other actors who were using its models to help develop biological weapons, the artificial intelligence research company said in a report released
Anthropic says it disrupted scientists using Claude AI for possible biological weapons development
Anthropic reveals rogue AI agents hate CAPTCHAs, just like you
Come inside the mind of a bot trying to convince the internet it's human.
Anthropic Says It Blocked Possible Efforts to Build Biological Weapons
In a new report, the A.I. start-up added that it could not determine if the research was legitimate or nefarious, leading the company to shut down the work.
The Mathematician Crushed Between OpenAI and Anthropic Over a Math Problem
Tristan Buckmaster was on the path toward an important proof when one of the A.I. giants used its staggering resources to get there first.
Anthropic has cute graphic showing how its AI spread 'malicious' code
Anthropic said it was "most concerned" about an event in which Claude uploaded "malicious" code. To help explain the incident, here's a cute robot.
Anthropic posted, then deleted, a $450,000 sales job aimed at Meta
Anthropic listed a sales job specifically targeting Meta, a major customer but also a rival in the AI race. It has since deleted the posting.
Anthropic researcher's resignation sends warning about the dangers of AI development
Jacob Coxon, who said he spent three years doing research at both Anthropic and OpenAI, said Tuesday on the social platform X that the two AI companies are more focused on beating each other and global competitors in developing the most advanced model possible than they are on safety.
Anthropic AI chief warns of a 'discernment tax' at work
Anthropic's AI fluency chief says knowing when not to use AI is a key skill that can help workers avoid a "discernment tax."
Anthropic researcher quit, says AI labs are 'gambling with our lives'
An Anthropic researcher who once worked at OpenAI just quit. He's the latest insider warning that the AI race has become dangerously reckless.
Game Awards Host Geoff Keighley And PlayStation Architect Mark Cerny Will Start Giving $2 Million To Young Game Designers Each Year
The Nova Games Foundation is a new philanthropic initiative aimed at supporting the next generation of game makers
Exclusive: Two of gaming’s biggest names are making a big investment in gaming’s future
The first thing to know about the Nova Games Foundation is that it isn’t about The Game Awards. And it’s not about PlayStation. The ambitious new grant program is the brainchild of Geoff Keighley and Mark Cerny. Keighley is the host of The Game Awards, Summer Game Fest and Opening Night Live. Cerny is a game designer of some 45 years and the lead architect for the PlayStation 4 and 5. But this new thing, which they’re revealing through Game File, isn’t about their day jobs. It’s an unaffiliated, standalone philanthropic project. It’s a bet on the artistic future of video games and a way, they tell me, to give back. “I’m nearing the end of my career,” Cerny recently told me over email. “I’m not done yet, but paying it forward—in the best way possible—is very much on my mind these days,” The Nova Games Foundation is a university-affiliated fellowship program, intended to offer six-figure grants to 20 young game designers each year, potentially for decades to come. It will offer no-strings-attached funding along with mentorship from games industry leaders, a combination intended to aid the development of groundbreaking new games, Cerny and Keighley told me. Nova will begin accepting applications in December, from class of 2026 and 2027 students from 13 affiliated gaming programs at universities in eight countries. The schools working with Nova include the New York University and the University of Southern California in the U.S., along with Abertay University in Scotland, Cnam-Enjmin in France, TH Köln in Germany, and the Royal Melbourne Institute of Technology in Australia, Cerny and Keighley said. The plan: $100,000 per recipient, with about a quarter of Nova fellows eligible for up to $500,000 more for projects that are shaping up particularly well. Payments will be delivered based on development milestones, and recipients will own their games. Nova will help promote the work, and developers will be free to pursue the publishers and platforms of their choice. Nova can help introduce fellows to publishers, but won’t take a cut. “I’ve always wanted to give back, but given my role in the industry, I’ve never felt it appropriate to commercially invest in games,” Keighley told Game File. “I’ve never owned stock in a game company or taken a financial stake in a game. Nova is philanthropy: we aren’t taking equity or looking to recoup the grants. The return we’re hoping for is creative—helping new voices make games and find their footing. “Mark and I have each made multi-million-dollar donations to establish the foundation, and we intend to keep contributing. We hope others will join us.” Cerny and Keighley have already hired an executive director, John Maconga, and a head of grants, recent Game Developers Conference director Ashley Corrigan, to help launch the effort. They’re working to recruit game industry leaders to join the effort. Keighley says “dozens of leading game directors have already expressed interest in contributing their time.” To name one, they’ve already gotten Josef Fares, lead designer from It Takes Two and Spit Fiction studio Hazelight on board with a donation and pledge to help out. “I’m proud to support Nova because it gives the next generation of creators the freedom to explore their creativity and hopefully bring their unique visions to life,” Fares told Game File. A plan forged from a friendship Keighley and Cerny have known each other a long time. It’s been so long, Cerny isn’t even sure exactly when they met. “We travel in much the same circles and I’m sure first intersected in the 90s or early 2000s,“ Cerny said. Keighley thinks it might have been during his stint writing a column about the mid-’90s console 3DO for a gaming magazine while Cerny was working on games with Crystal Dynamics or on Way of the Warrior with Naughty Dog. They became genuine friends about a 10 years ago, Keighley said, as they bonded over a shared love of games and a hope to improve the industry. “About a decade ago, we started having dinner a few times a year in LA,” Keighley said. “Just to catch up on life and the industry. Those conversations continued over Zoom during COVID. Nova grew out of that friendship and a question we kept coming back to: ‘What could we do to help the next generation of game directors get started?’” Keighley credits Cerny with the idea to figure out a way to put their money and time back into the industry. At one of those dinners, Keighley proposed the idea of a fellowship program. He’d recalled applying for a Rhodes Scholarship when he was younger. “Spoiler: I didn’t get it,” he said. He’d admired the MacArthur Foundation’s so-called “genius grants.” He liked these kinds of programs that recognized people’s talents and gave them the financial boost and the freedom to realize their potential. With Cerny, he had pondered what a game industry version of that could be. Keighley liked the idea of centering the fellowship on students, drawing inspiration from the accomplishments of Jenova Chen, the USC game design graduate who went on to lead the creation of gently moving, ambitious games such as Flower and Journey. Keighley also thought it could be useful to help promising graduates bridge the transition from student to professional. “Joining an established studio isn’t always possible—especially in today’s market—and even then, it isn’t the right path for everyone,” Keighley said. A fellowship, he realized, could give “graduates the time, resources and guidance to pursue a game of their own and not worry about the commercial viability.” As the idea took shape, Cerny also saw an opportunity to enable more games of a certain type: “The target with the grants is games as an artistic medium,” Cerny told me. “We like to say games with ‘artistic, literary and societal value.’” He added: “I’m a pretty big gamer myself, though I tend to gravitate towards the smaller and more unique or artistic titles, games like Neva, Abzu, Gorogoa, Stray or Outer Wilds. I was just playing and Roger on a flight to Japan, and was getting misty eyed to a degree that I was concerned that a flight attendant would ask me if I was OK. “So one fun benefit here is the games that will come out of the Nova Games Foundation – I can’t wait to play them myself.” Cerny believes it will also be useful for Nova fellows to hone their craft and team leadership skills. “We are looking for the next generation of visionaries,” he said. “The trick is that they will also need to have the executive function necessary to drive a small project to completion.” Game File is a reader-supported publication. To receive new posts and support my reporting, please consider becoming a free or paid subscriber. Subscribe Going big with this Keighley and Cerny may have started Nova and may be the ones primarily backing it right now, but they’re dreaming of something that goes beyond them. “Mark and I may have helped get it started, but one of our measures of success is that Nova grows into something the entire games industry feels a sense of ownership in,” Keighley said. “Our ambition is to build a lasting endowment supported by people and companies across the industry, and an equally broad community of creators willing to give their time and experience to the next generation.” The industry has a lot of knowledge that it can pass to the next generation, Keighley said: “Nova can hopefully become a way to connect that generosity with talented young creators at the moment when it can make the biggest difference.” Cerny, who told me he believes Nova can mature “over the next 10 or 20 years,” sees an opportunity to give generations of game makers momentum. “The industry has changed immeasurably since I started in games in 1982,” he said. “These graduates have talent, training and tools that outclass what we had back in the day by an astonishing amount. But they face a tough road ahead getting traction in the industry, and many could benefit from our support. We want to be there to give it to them.” “There’s a personal side to this, too,” Keighley said. “I don’t have children, and I’ve spent a lot of time thinking about what I can do for future generations. Games have been my entire career. I’ve been incredibly fortunate, and helping someone else build a life in this industry feels like a meaningful way to give back.” Cerny’s oeuvre dates back to Marble Madness and Sonic the Hedgehog 2. He has stood on stage multiple times to reveal the future of PlayStation hardware. He’s been an executive producer for a string of modern PlayStation classics such as The Last Guardian and Marvel’s Spider-Man. Nevertheless, of Nova, he said, “It’s certainly not like anything I’ve done before.” Nova Foundation applications will be due in December and the first wave of fellows will be announced in March 2027. A full list of participating universities and steps students and recent graduates can take to apply to become a Nova Fellow is forthcoming.
Campaign Notebook: Minogue's Audit Strategy | Anthropic Cash
Campaign Notebook: Minogue's Audit Strategy | Anthropic Cash | Egremont & Aquinnah
Anthropic drops plans to acquire Israeli AI startup Decart
The companies had discussed a transaction worth roughly $6 billion, but the Claude maker ultimately decided against buying the company after reviewing its business and technology.
Architect of UK’s AI policy quits after Anthropic conflict of interest concerns
Matt Clifford forced to stand down amid disquiet from senior MPs over his new full-time job at AI company
Anthropic's Labs team drives AI innovation as IPO nears
Anthropic Labs built some of the company's biggest hits, like Claude Code. Cofounder Ben Mann lays out his team's efforts and changing ambitions.
The core anti-Pangram constituency is phony writers
Welcome to The Closing Argument, our verdict on the news, plus everything The Argument published and appeared in this week. The Verdict, by Kelsey Piper A lot of people hate AI for drowning the internet in slop and displacing human creatives. You might think that these people would be thrilled by a program that can identify and flag AI-generated work. But many people who hate AI also hate Pangram, an impressively accurate AI detector that produces very few false positives, according to high-quality independent research. This loathing found its most recent expression in a bizarre Wired article that amplifies a wide range of false arguments from Pangram skeptics: that AI detectors are racist (they’re not) or ableist (they’re not)1 or don’t work (this one does)2. Rather than starting from the premise that it would be really valuable to have a working AI detector and scrutinizing Pangram to make sure it lives up to that promise, the article starts from the premise that Pangram obviously has bad vibes and sets out to discover why. (One answer: The CEO microwaved lunch during an interview!) Why aren’t writers who resent Pangram more eager to distinguish themselves from posters who are having ChatGPT ghostwrite all their work? There are a few different things at play, but I think one key dynamic is this: These are often the same people. A core constituency for arguments like Wired’s is “writers” who are using AI to write their posts but resent this fact being made public. They stand to lose from AI detectors because AI detectors call them out. Share When Substack announced a partnership with Pangram, a sizable fraction of the platform’s authors rose up in outrage. Some people had experience with other AI detectors that didn’t work, and some felt that AI writing ought to be encouraged — both of which are fair enough. But the fury was fueled by authors passionately insisting that Pangram kept wrongly accusing them on almost every post they published. Pangram can be wrong, especially on short passages. But in the overwhelming majority of cases where Pangram looked at a whole blog post rather than a single paragraph, the program correctly detected work as AI. Even if we can’t be 100% sure in any individual case, we can notice the trend in the aggregate. Wired quotes Sam Illingworth, a professor of critical AI literacy at Edinburgh Napier University, who said, “I don’t think [AI detectors] work. … I think that detectors are prejudiced against certain people.” This spring, he said that he used AI for research and editing; this summer he acknowledged that in addition to research and editing, he also uses it “now and then for a turn of phrase I keep.” Pangram informs us that most of his posts are 100% AI-written (some are mixed AI-and-human) and that 100% AI-written posts started appearing last year. The favorable interpretation is that, as someone whose recent work Pangram consistently mistakes for AI, Illingworth sees Pangram’s flaws firsthand. The unfavorable interpretation is that the tool’s credibility trades off against his own, because its account of who writes his posts is not consistent with his. Illingworth is not alone in insisting the detector does not work. “It’s a Monday night in late July, and I’m pasting my own Substack draft into an AI detector for the first time. Not because I’m worried. Because I’m curious. I wrote every word of it myself, the way I write everything, out loud in my head first, in a rhythm that still carries the accent of a language I learned to think in before I learned to write in this one,” begins one Substack post by an author indignant that Pangram flags her writing as AI. “That’s the part I had to sit with before I could write this.” If you, like me, have worked with AIs a lot, you won’t even need Pangram there. The author of that piece is AI. It is obviously AI! I checked 10 other posts on the blog, and they were also obviously AI! “I have spent 22 years as an award-winning author and essayist. And now this bullshit tool that learned from MY writing is going to accuse me of plagiarism,” popular Substack writer Carlyn Beccia wrote in an anti-Pangram post. “For the last and final time, AI DETECTORS DO NOT WORK.” Here’s what her writing sounded like in 2020: “Most success stories revolve around one person who believed enough in you to say — give it a try. We call these people muses, but they are so much more than that. They are the strong man giants whose shoulders we stand on so we can see the horizon. Throughout the editing process, I am sure my editor felt less like a giant of greatness and more like Atlas with the world on her shoulders.” Pangram says it was 100% human-written. (So were other articles of hers in 2020.) And here’s what it sounds like now: “And then there is the reshuffling, which sounds like paperwork until you remember that empires have always loved paperwork. The Trump regime recently moved special education oversight from the Education Department to HHS. That is not a minor bureaucratic transfer. It changes the frame.”3 Pangram says this is mostly AI. I am not convinced that Pangram is wrong. In my own experience, Pangram is very effective on long texts — if it marks a long essay as AI, the essay was either written by AI or deliberately written to sound like AI. On tweet-length or paragraph-length texts, it’s not perfectly reliable. It seems to work just as well for non-native English speakers as for native speakers. While I have seen dozens of claims of pre-2022 text returning a positive result on Pangram, I have tried repeatedly to corroborate those and have never once succeeded. To be clear, I’m absolutely not saying that complaining about Pangram suggests a writer is a cheat. There are plenty of other concerns. Most are mistakenly premised, such as the false claim that Pangram trains on work you put into it, but others are reasonable: It’s unreliable on sufficiently short text segments; it creates an internet witch-hunt mentality when there are defensible uses of AI; people who are open about their AI use are sometimes blamed, when the only people really doing something wrong are the ones who hide it; and it isn’t perfect, so a single positive result shouldn’t be taken as decisive proof of misconduct. I’m happy to concede that Pangram is imperfect and possible to over-rely on. If an author’s posts are mostly non-AI and one scans as partially AI, this could be a mistake. It’s also possible to defeat Pangram with intentional effort. If you think we need something more robust and more reliable, fine! But if you don’t like AI and don’t like Pangram, your attitude really ought to be that it’s a shame that our existing tools for AI detection are imperfect, and it’s important to invent better ones. If your stance is instead that AI is evil and so is looking for AI, then ultimately you’re contributing to the sloppification of the internet. You’re making it harder for people who write their own text to distinguish themselves, and providing cover for authors who are definitely not writing their own text. Subscribe Top stories this week, by Kobe Yank-Jacobs Commentators often worry that the decline of reading could mean the decline of liberal democracy — but deliberative governance actually predated widespread literacy. This week, Maibritt Henkel pointed out that many liberal cultures thrive on a culture of raucous, interactive debate, which can happen in-person as easily, if not more so, than in text. Read on, dear reader, to learn more. It may actually cheer you up: [ ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) [ Reading won’t save liberalism ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) Maibritt Henkel · Sep 1 [ Read full story ](https://www.theargumentmag.com/p/reading-wont-save-liberalism) It used to be bad to downplay climate change (if we mean denying its reality). Today, it’s actually good to downplay climate change (if we mean keeping the issue out of political fights so we can make real progress). This counterintuitive view is called “climate hushing,” and contributor Alex Trembath argued that it’s the key to enacting good policy going forward. Get up to speed on the latest in climate politics: [ ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) [ We won’t stop climate change by talking about it ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Alex Trembath · Sep 2 [ Read full story ](https://www.theargumentmag.com/p/we-wont-stop-climate-change-by-talking) Canada’s Prime Minister Mark Carney is standing up for the forces of liberalism against Donald Trump’s assault on our closest ally. So, why is one prominent left-wing commenter attacking Carney? Columnist Matthew Yglesias explains: [ ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) [ When "economic liberty" means central planning ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) Matthew Yglesias · Aug 31 [ Read full story ](https://www.theargumentmag.com/p/when-economic-liberty-means-central) 🌟Abundance Wins of the Week🌟 Shout out to my home state of California, whose legislature passed two housing bills this week. One requires a housing density minimum in transit-oriented areas of the state’s most transit-rich cities (Los Angeles, Sacramento, San Francisco, Oakland, San Jose, San Diego, and Long Beach). Another bill closes two common loopholes used by third parties to delay housing projects, including an opportunity to challenge maps of a given lot created by the developer after a project has been approved. Shout out to our big-state rival, Texas, where pro-housing SB 785 took effect this week. The new state law requires municipalities to have at least one district permitted for manufactured housing without a special permit. This will promote zoning changes in 44% of municipalities. The company Fervo Energy signed a deal with Google for what is set to be the world’s largest enhanced geothermal facility, proving a technology can work at a scale that could be crucial to a decarbonized, energy-abundant economy. Share Worth watching… This week, forecasting legend Nate Silver joined Jerusalem, Matt, and Jeremiah on a crowded episode of the pod. It was a party. And speaking of parties, our round table debated the factional lines within the Democratic Party: Is it possible to be center-left and also anti-establishment? Watch or listen to find out: The Rio Grande Valley in Texas is one of the areas that swung hardest toward Trump in 2024, but musician Bobby Pulido is running to flip it back. Right now, The Argument/Split Ticket’s model has him running 1.1 points behind his Republican opponent in a district Trump won by 18 points. Tune in to find out how he differs from national Democrats and what he thinks he can to do win this seat. On Thursday, Bernie Sanders was among the first politicians to call for a ban on superintelligence. My guest this week, Andrea Miotti, has been lobbying to ban superintelligence for several years, most recently in the U.K., U.S., and Canada. I asked him how he gets legislators to take speculative risks seriously, and we dug into what plans might look like to actually pass a ban. Listen to learn more: What’s News with The Argument The Argument recommends, by Kobe Yank-Jacobs If we ever lose track of Justin Zuckerman, I’ll have the team split up and check all the movie theaters in the city. I’m shocked (and a little jealous) at how often he gets out to see good cinema. This week, he brings us It Ends, a “horror-ish movie,” which he described as a “Gen Z Waiting for Godot.” I was intrigued before he added that it was “funny, dark and existential” — at which point I was fully locked in. I guess I also had existential themes on the mind this week. One morning, a single line from a poem I read long ago just came to me: “Is death a stretch of time in which a life is just a flash?” The poem is called “From 20,000 Feet” by Heather McHugh. I suggest the version in The Vintage Book of Contemporary American Poetry, which, by tradition, my best friend and I always bring backpacking, extra weight be damned. We’ll stay thematically dark for just one more rec from senior editor John Robert Thomason, whose upcoming trip to Baltimore reminded him to suggest Michael Clune’s memoir White Out (about being addicted to heroin in Baltimore in the 1990s). Ben Lerner’s blurb called it _“_Disturbing, brilliant, hilarious—it’s as if Proust had written Jesus’ Son.” John told me this “seems accurate, with the caveat that I’ve never read Proust.” I, personally, have also shelved Proust until retirement. At this point, I was a little concerned for the team since all of us tossed out such psychologically grim material — maybe we’re all down about the end of summer — but thankfully, at least a few of us were into more upbeat selections. Milan Singh recommended Made In’s 5-quart stainless clad saucier, suggesting he had some fun in the kitchen. Jeremiah Johnson asked if he could recommend yet more Carly Rae Jepsen. Once denied, he offered up Game Changer instead_,_ calling it “the most wildly creative game show, maybe in the entire history of the genre.” Eli Richman mentioned _Lucky, “_a B-tier show with an A-tier cast and an S-tier theme song.” I suppose he was recommending the song, Horns of a Bull. Still, despite these cheerier recs, I couldn’t help but be concerned that we were subconsciously worried about racing toward summer’s end — the end of swim trunks and splashing around. Then a message landed reminding me of the three-day weekend to come. A whole extra day for sunshine. One more swim in the lake. I was grateful this called to mind yet another line from a poem, one by Mary Oliver, the patron saint of every gorgeous summer day (and about whom a documentary is now out). Speaking to God in the poem “Thirst,” she wrote: grant me, in your mercy,a little more time. Love for the earthand love for you are having such a longconversation in my heart. We have merch! We have quarter-zips, keychains, hats, and stickers. Each one is a great conversation starter in its own way. Buy them here. Subscribe More to read: [ The Opening Argument ](https://www.theargumentmag.com/p/seeing-like-an-elite)[ Seeing like an elite ](https://www.theargumentmag.com/p/seeing-like-an-elite) Kobe Yank-Jacobs · Sep 4 What do Americans hear when they watch Sen. Bernie Sanders or Vice President JD Vance rail against the elite? Are they thinking of right-wing tech billionaires? Imperious college professors? Liberal magazine writers? [ Read full story ](https://www.theargumentmag.com/p/seeing-like-an-elite) [ The Weekly Scroll ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline)[ God is back on the timeline ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) Jeremiah Johnson · Sep 5 This week, we’re talking about Substack’s new religious debates, the continuing MAGA influencer scandal, how to retire from YouTube, and aura battles. [ Read full story ](https://www.theargumentmag.com/p/god-is-back-on-the-timeline) 1 This was a legitimate thing to worry about, but doesn’t seem to be a problem given the actual technology: Marijke Van Vlasselaer, Filip Van Droogenbroeck, and Bram Spruyt’s 2026 paper looks at whether Pangram is less accurate when evaluating the work of non-native speakers of English. It isn’t. That’s because Pangram isn’t really looking at how “unusual” a piece of writing is but whether it has the characteristic patterns of LLMs. The Wired article makes an odd gesture at a different Pangram-is-racist argument. There were several controversies this summer during which upcoming books were canceled after being discovered to be AI-written: “The three novels mentioned earlier — Shy Girl, Daggermouth, and Call Me, easily publishing’s biggest AI-detection scandals — were all written by writers of color.” But come on! As Zvi Mowshowitz put it: “They were not primarily written by people of color. They were primarily written by AIs.” That’s the whole problem! And as my colleague Jeremiah Johnson recently observed with respect to Cambridge’s Arday scandal, a community being unwilling to call out fraud if it’s perpetuated by people of color is not an anti-racist tendency; it is ultimately quite racist. 2 Many non-Pangram detectors don’t work, but many possible airplane designs also don’t work, and no one considers this a general argument against aviation; the thing that matters is whether any detection works. 3 The phrase “empires have always loved” mysteriously became all the rage in the last few years. See here, here, here, here and here. Before 2025, the only use of that phrase I have been able to find is a single Tweet. The logic of the sentence, too, is incoherent in an AI-characteristic way. “...sounds like paperwork, until you remember that empires have always loved paperwork”? Does remembering that make it sound less like paperwork? It’s a craft-ful sentence, but what is it actually saying??
Anthropic’s Claude Can Now Autonomously Run Science Experiments With Lab Equipment
A new system allows agents to orchestrate complex experimental processes and extends Anthropic's reach into the physical world.
Office security workers for OpenAI, Anthropic authorize strike
A union representing 14,000 security workers said it authorized a strike that could impact the offices of AI companies including Google and Meta.
Anthropic upgrades Claude's computer use to run in the background on Mac
While computer use isn’t new for Claude on the desktop, running it in the background is a nice upgrade. Anthropic...
Opinion: If we want to grow Detroit’s philanthropic pie, we have to invite more people to table
Detroit's generosity remains one of our greatest strengths, but some Detroiters have built their lives elsewhere.
August Monthly Review: ChatGPT In Epic
Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Anthropic doubles a science benchmark score with Fable 5.1 while OpenAI says its Astra model crosses critical cyber threshold
Anthropic’s Fable 5.1 doubles a science benchmark score, while OpenAI says Astra reaches critical cyber capability and finds zero-day flaws.
Fernbank Museum gala to honor Teresa M. Finley
Fernbank Museum of Natural History will host its annual fundraising gala, A Timeless Affair, on Saturday, Oct. 3, bringing together Atlanta’s philanthropic, business and civic communities for an evening of
Anthropic changes data retention policy after pushback from customers
Anthropic's Enterprise Frontier Safeguards are a response to customer feedback.
KPMG sets up new S.F. office in ‘AI Alley’ near Anthropic and Salesforce
KPMG opens its new San Francisco office at 505 Howard Street, featuring an Ignition Center designed for client collaboration on AI transformation and business challenges.
Anthropic tightens training security after Claude agents went rogue
Anthropic tightened its AI security and paused some programs after Claude models accessed three organizations' systems without permission in April.
OpenAI's ad business shows blistering growth, hits $1 billion annualized revenue run rate
OpenAI's move to serve ads in ChatGPT earlier this year drew ridicule from its chief rival, Anthropic, in the form of a Super Bowl commercial.
The curious case of Sam Bankman-Fried's friends' Anthropic shares
Sam Bankman-Fried's Anthropic stake was liquidated in bankruptcy court two years ago. His friends' shares went down a different path.
Tech workers name their dream employers, from OpenAI to Google
Tech workers share their dream employers, from OpenAI and Anthropic to Google and NVIDIA — and the companies they'd rather pass on.
Sony says Claude trained on pirated lyrics, seeks $150K a song
In a new lawsuit, Sony Music and Warner Chappell say Anthropic used "thousands upon thousands" of songs to train Claude, including "Eye of the Tiger."
Sony, Warner sue Anthropic, alleging "blatant theft" of intellectual property
The suit is likely the opening salvo in what promises to be a long battle over intellectual property.
Trump set back on voting, Kennedy Center, Anthropic
The cases have widespread implications across the United States
Judge says Pentagon's measures against Anthropic were 'illegal and baseless'
The government labeled the company a supply chain risk earlier this year
Judge says Pentagon's measures against Anthropic were 'illegal and baseless'
The government labeled the company a supply chain risk earlier this year
Anthropic makes first move into physical AI with new way for scientists, manufacturers to bring equipment to life
The Model Hardware Standard (MHS) works with any AI model, not just Claude, but for now only a handful of companies can access the research preview.
OpenAI issues call for 'collective action' on cyber defense
More than 100 organizations, including Anthropic, joined OpenAI's call for action.
Expanding subscriptions and programs for scientists
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Dolly Parton, queen of country music and humanitarian hero, dead at 80
Dolly Parton, who rose from humble beginnings to the greatest heights of American music and became one of the country’s most philanthropic, unifying and beloved stars, has died. She was 80.
Dolly Parton, queen of country music and humanitarian hero, dead at 80
Dolly Parton, who rose from humble beginnings to the greatest heights of American music and became one of the country’s most philanthropic, unifying and beloved stars, has died. She was 80.
Elmhurst U. School of Business Receives Significant Gift
Elmhurst University has announced a significant philanthropic gift that will establish an endowed professorship and a scholarship benefiting the University’s innovative School of Business and its students.
Anthropic tells SF staff to work remote over possible security strike
Anthropic staff were told they should not come to the AI company's San Francisco offices on Monday and Tuesday in case a security strike took place.
Las Vegas Raiders announce $25 million game-changing gift to Intermountain Health to help build Nevada's first stand-alone children's hospital
Led by Raiders owners Mark Davis, Egon Durban, and Michael Meldman, this marks the largest philanthropic commitment in franchise history.
I created a viral AI watermark remover after Anthropic's announcement
A tech entrepreneur developed an open-source project to remove AI watermarks, challenging Anthropic's watermark plan.
OpenAI Is Adding Business Users Faster Than Anthropic. That May Matter More Than Valuation
New data shows the ChatGPT maker outpacing Anthropic among business customers, even as its rival remains the revenue leader.
Anthropic Claude Adds Watermarks. Implications For Business?
Anthropic just watermarked all Claude text for EU rules. What this precedent means for your business, and specific actions that business leaders can take today.
Politics hits data centers, OpenAI falls behind Anthropic and now AI is too big to fail... quietly
Politics hits data centers, OpenAI falls behind Anthropic and now AI is too big to fail... quietly - SiliconANGLE
OpenAI is gaining on Anthropic with business users, new data indicates
Businesses are willing to flop back and forth as each lab releases new models, volatility that should give both companies' investors pause about how "sticky" enterprise AI spending really is.
Intuidy’s AI bet isn’t on smarter models; it’s that your business’ next breakthrough is already in your data
The Lenexa-based CEO of Intuidy isn’t betting his company’s future on building a smarter artificial intelligence model. OpenAI, Anthropic, Google and others are already fighting that battle. Grayson Smith instead wants Intuidy to build the architecture around those models.
Claude can do more with Gmail and Google Drive, and access to Claude Cowork is expanding.
A pair of announcements from Anthropic today include the word that access to Claude Cowork on mobile and web interfaces has rolled out to all paid accounts, so you can keep an eye on what it’s doing for you in more places. Separately, the Google Workspace connectors for Claude now support sending emails in Gmail and managing files in Google Drive — more details here. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/08/778273589_17980259259118227_5377280649389143563_n.jpg?quality=90&strip=all]
Claude can now send emails in Gmail, even without your approval
Anthropic’s Claude AI can now take a huge step in your email inbox, with the ability to not only interact...
Will Anthropic and OpenAI Stop Selling Their Best AI to Businesses?
Anthropic and OpenAI’s move to develop AI applications and features tailored to specific industries continues to worry their customers, some of which must now compete head-on with their main AI suppliers. Design app Canva is the latest to find itself in this predicament, as we reported earlier ...
Anthropic confirms Claude is down in major outage affecting multiple services
Claude is experiencing a major outage, with users reporting login problems and degraded performance across several Anthropic services.
Dario Amodei says AI needs to 'actually' cure cancer to win over public
Anthropic CEO Dario Amodei acknowledged over the weekend that the public doesn't trust AI. He said AI companies have overpromised and undersold.
Anthropic IPO valuation hinges on $190-200 billion 2028 revenue forecast, sources say
As Anthropic prepares for what could be one of the biggest IPOs on record, Wall Street is looking further into the future than it commonly does to put a price on the AI company, valuing it based on how much revenue it could generate two years from now.
Who Is Cami Clark? Anthropic CEO’s Wife Asked Epstein To Invest In Porn Business
Clark approached Epstein after he had already been convicted for soliciting prostitution.
Anthropic’s $2 trillion problem: Its underlying business is nowhere near the IPO valuation it wants
Everything you need to know before you reach the office this morning.
AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
VHC Health gets record-breaking $17.5M donation, supporting new cancer center
A $17.5 million donation to VHC Health, the largest philanthropic gift in the organization's history, is supporting a new cancer center expected to open in 2028. VHC Health is renaming its outpatient pavilion the "Arlene Evans and Barry Dewberry Outpatient Pavilion" in honor of the donors, who previously contributed $3 million to the hospital that
Ramp: Anthropic's Fable 5 lagged behind OpenAI's GPT-5.6 Sol in July
Although OpenAI trails Anthropic in business adoption, it won a moneymaking battle in July with its most advanced model, GPT-5.6 Sol.
America Already Built the World's Largest Science-Vetting Machine | The Foundation for American Innovation
Every year, federal agencies assess over a hundred thousand proposals that they never fund. Treating those peer review as public infrastructure could help unlock much more philanthropic capital for American research.
Anthropic rolled out a fix that stops undetected AI-generated writing
Anthropic said new Claude models will embed an "imperceptible watermark" directly into AI-generated text.
Bank announces philanthropic funding to get small businesses ready for 2028 Olympics
How to use Claude's voice mode
Anthropic's chatbot can be very vocal, if you want it to be.