SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " claude " 409 found 🔀 AI-powered Shuffle
Alarming study finds top chatbots more likely to repeat falsehoods from the left: ‘Truly astonishing’
ChatGPT, Gemini, and Claude were more likely to fall for political falsehoods from the left, while Grok skewed right, a new misinformation study found.
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.
Claude’s Chrome side panel is now a full Cowork session
Claude is turning its Chrome side panel into a full Cowork session, allowing browser-based tasks and conversations to follow users...
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.
How to use Claude's voice mode
Anthropic's chatbot can be very vocal, if you want it to be.
Anthropic confirms it's building an in-house chip team for Claude
The AI startup is hiring engineers to design custom chips for its Claude AI model, according to a job listing and a company statement.
Claude Fable 5 AI finds a tiny formula that topples an 87-year-old math conjecture
A mathematician working at Anthropic says he used the AI model Claude Fable 5 to uncover a remarkably simple counterexample to the Jacobian conjecture, a famous problem that has resisted mathematicians for more than a century. The result shows that the conjecture is false in three dimensions and above, although the original two-dimensional version remains unsolved.
10 AI-Powered Side Hustles: Smart Business Ideas Using ChatGPT Or Claude
AI tools such as ChatGPT and Claude enable aspiring entrepreneurs to accomplish more, faster. Here are 10 great AI-powered side hustle ideas.
5 Easy Claude Automations That Grow Your Business On Autopilot
Claude can draft your outreach to podcast hosts, buyers and referral partners while you sleep. Set up these five automations today and grow your business on autopilot.
The US ‘golden age’ science strategy: what Europeans need to know
The US has unveiled what officials claim is the most radical overhaul of the public R&D system in a generation, which if implemented could have significant implications for transatlantic research collaboration. Science: A New Golden Age derides universities as “legacy institutions” and instead wants to prioritise funding on technological challenges, new research labs and funding that follows individual scientists, rather than being linked to their institutions. “Too much of our research enterprise has come to serve itself rather than the scientists within it,” writes Michael Kratsios, director of the White House’s Office of Science and Technology Policy (OSTP), the only named author of the report. “Federal funding agencies should support a broader range of performers.” But some critics argue that the strategy is a smokescreen, using genuine problems in academia as an excuse to further weaken US universities, which US vice-president JD Vance has labelled “the enemy..”Even as it talks of a “golden age” for science, the White House has proposed halving the 2027 budget of the US National Science Foundation (NSF), and has put forward double-digit cuts for other funding bodies, such as the National Institutes for Health. It asked for similarly steep savings in 2026, but Congress stopped them going through. Science: A New Golden Age says success will be measured by the extent to which scientists are “free” to pursue the most “vital questions,,” painting academia as currently hidebound by bureaucracy, sluggishness and consensual conservatism. And yet the Trump administration is simultaneously planning new rules that will hand political appointees unprecedented powers to screen and cancel grants. The report has pretentions to be the successor to Science: The Endless Frontier, the seminal 1945 document in which presidential science advisor Vannevar Bush set out the case for post-war government funding of basic research, helping to spur the creation of funders such as the NSF. Even the title page font is the same. But it remains unclear if the latest report will leave anything like as lasting a legacy.Here, Science|Business explains some of the biggest proposed changes in Science: A New Golden Age, and how Europeans think it might change the landscape of their biggest science partner.Universities under fireA key target of the report are US universities, which it repeatedly suggests are outmoded as research institutions. It criticises the NSF for channelling resources “overwhelmingly to a single type of performer, the university-based, principal investigator-led research group..” Universities “extract” money from researchers’ grants to support “growing administrative bloat,” alongside legitimate uses. The Trump administration has been trying to cut the overhead costs in federal research grants that flow to universities. Instead, new institutions are being built. In May, the NSF announced it would spend $1.5 billion on two new so-called X-Labs, focused on scientific instrumentation and quantum systems. The idea is that they fill a niche in the landscape, tackling problems that are too big for a university lab, but too early stage for private start-up funding. Parallel with Europe?This shift to new research organisations parallels moves in Europe to set up new innovation agencies, such as Germany’s Sprind, the UK’s Advanced Research and Invention Agency, and the EU’s European Innovation Council. The Dutch and French governments are looking to set up their own entities too. There’s now an emerging consensus, evident in a number of new strategies, that public R&D needs to be shaken up, Charles McIvor, an economist at the OECD, has written in response to Kratsios’s plans. “What stands out for me across these strategies [in the US, Germany, South Korea and Japan] is that governments are realising that the old ways of delivering STI [science, technology and innovation] programming no longer works,” he said in a LinkedIn post. Metascience wins?The document is, at least on the face of it, also a big win for some policy thinkers in the US who want far more experimentation with new forms of research grant and institution.It name-checks a litany of new public R&D ideas, from focused research organisations and advance market commitments to “golden tickets,” which allow grant reviewers the power to hand applicants money without requiring the consensus of other review panellists.Related articlesEuropean researchers sound the alarm that Trump rule changes will hit cooperationFocused research organisations: what are they, and how do you set them up? NIH turmoil risks reciprocal EU-US access to health research funding In addition, every federal research funding agency should set up a metascience unit, the strategy says, “with authority to run controlled experiments on review and funding mechanisms.” The UK has already set one up, the strategy points out. This mirrors recommendations to the European Commission. In 2024, a report led by former Portuguese science minister Manuel Heitor also advised the EU to set up an “experimental unit” to test out new methods of funding research. So far, however, Brussels hasn’t put forward any plans to do so. Bypass universitiesBut there’s a worry that the Trump administration is using the metascience movement to justify an overhaul of public R&D that punishes universities, which it sees as centres of political resistance. Last year, it threatened to cut Harvard University’s federal funding unless it hired and admitted a “critical mass” of new faculty and students to create “viewpoint diversity” across campus. It’s also attempted to strip academics of funding for working on politically forbidden areas, like LGBTIQ people’s health.The new strategy appears to be a “move to bypass the power of universities full stop and allow funders and political bureaucracies to handpick the projects and people who will execute them,” said Jean-Claude Burgelman, a former senior official in the Commission’s research directorate, on LinkedIn.The EU’s science counsellor in Washington, Florent Bernard, wrote that the plans risk diverting public research funding so that it “solely serves private interests.” “Who, if not independent universities, will do research that demonstrates the impact of tobacco on lung cancer or the role of human activities in our current climate crisis?” he wrote.Should we take it seriously?“I would view the overall document as a bad faith argument,” said Cole Donovan, director of science policy at the campaigning group Stand Up for Science, and a former OSTP official. “I don’t see the project itself as something that can be isolated from the broader attack on the system.” He thinks the argument that academia has become dysfunctional and in need of radical reform is being deployed as part of a “PR argument” to legitimate moves against US scientists. The strategy presents ideas like metascience units as new, whereas there were moves to set them up at the NSF during the previous administration of Joe Biden, Donovan said. The other caveat here is that the OSTP has limited power to carry out any of these recommendations. While Kratsios has issued a memo to research agencies telling them to implement the recommendations in the report, he doesn’t have direct budgetary control. “As a former OSTPer myself, this does not seem like a document that is realistic,” said Donovan.
Claude Chats Popped Up in Google Search Results. How to See If Yours Are Public
Chats posted online by Claude users briefly appeared in Google search results over the weekend. Here's how to check whether you've shared any chats and revoke access.
Claude chats exposed in Google searches – another endorsement of Apple privacy
We’ve long cautioned against disclosing sensitive personal data in AI chatbot sessions, given that most companies use these as training...
Some people's chats with Claude AI made publicly available online
Hundreds of conversations with Anthropic’s chatbot were discovered as being publicly accessible.
Claude, Codex, and other AI tools credited in today’s Apple security releases
Apple’s technical details on the many security fixes included in today’s operating system updates show how quickly AI tools are becoming part of vulnerability research.
PSA: Your Claude shared chats and Artifacts may have ended up on Google
An untold number of Claude chats and Artifacts — the interactive mini apps and documents users can build inside Claude — were found publicly searchable on
Private Claude Chats Exposed in Google and Bing Search Results
The screwup shows how tricky it can be to stop web crawlers from making ostensibly private conversations with AI chatbots entirely too public.
A trove of users’ seemingly private conversations with Anthropic’s Claude AI chatbot showed up in Google search results
The topics of the seemingly inadvertently exposed chats ranged from erotica, programming chats, work notes, and fake book reviews.
Claude AI shared chats indexed by Google - see if your conversations were exposed
Google wasn't supposed to see them, but then everyone on Reddit did. Here's how to handle the situation.
Tons of Peoples’ Claude Chats and Creations are Exposed on Google
Claude users are creating public share links, but probably don't realize that means their chats are now ending up in Google searches where anyone can dig through them.
I asked ChatGPT, Gemini, Claude and Perplexity what they really think of each other — and their responses revealed their biggest strengths (and weaknesses)
Each chatbot proved to be as honest as possible
Claude AI Shared Chats Reportedly Exposed in Google Search Results
Anthropic’s Claude share links appeared in public search results, raising fresh privacy concerns for users who shared sensitive conversations.
New ChatGPT Training For Small Businesses And Other Technology News This Week For Your Business
OpenAI launched AI training for small businesses, Microsoft upgraded Excel with AI, Intuit debuted a QuickBooks card, Claude learns workflows, and AI-ready websites are now essential.
Anthropic's new AI model rivals Fable 5 and is cheaper as businesses fret about costs
Anthropic said Claude Opus 5 is its best performing and its most cost-effective offering.
Claude’s voice mode is now available for Opus and Sonnet
Now you can chat with Anthropic’s more powerful models.
Anthropic updates Claude voice mode with more capable models
Claude's new voice model will let you reschedule your meeting or draft an email
Claude Code brings live iOS app testing into its Mac app
Claude Code’s Mac app now lets users test iOS apps in an interactive simulator pane, provided they have Xcode with the iOS platform installed.
Claude Code Can Now Build and Test iOS Apps in Apple's Simulator
Anthropic today said Claude Code for desktop has been updated to work with the iOS Simulator, with the integration available in public beta. Claude Code can open in-progress apps in the iOS Simulator pane when it's instructed to build, run, or check an app. Claude can watch the iOS Simulator live as it runs, interact with it, and then iterate until a project is finished. Developers can continue to use the iOS Simulator as Claude works.
Anthropic's life sciences plans: Mystery programs, Nobel hires, M&A and big ambition
Anthropic pushes into life sciences with a $400M Coefficient Bio deal, Nobel hire John Jumper, Claude Science launch and its own drug pipeline.
A Mathematician Used Claude Fable to Disprove the 87-Year-Old Jacobian Conjecture in a Few Hours
Levent Alpöge, a number theorist at Anthropic, announced on X that he had found a counterexample to one of algebraic geometry's most notorious problems, crediting Fable as his collaborator.
How To use Claude's Reflect dashboard and learn when it's time to touch grass
Break reminders are your friend.
5 things Gemini still can't do that keep me paying for ChatGPT
Gemini has improved dramatically, but I still can't cancel my ChatGPT subscription. These are the five shortcomings holding it back.
Mom of two says voice memos to Claude help organize her life
Erin Kee is a mom of two kids under four. She sends at least one long voice memo to Claude a day, which helps her manage her schedule.
1Password for Claude Lets AI Log In Without Seeing Your Passwords
Popular password management app 1Password today added Claude support, which means AI service Claude can access credentials stored in 1Password for completing browser tasks. With the integration, Claude can use 1Password logins and one-time codes without the actual password being exposed to Claude. Passwords never reach Claude's context, memory, or Anthropic's systems. When Claude wants to sign in to a website, 1Password shows the user which credential Claude wants access to and why.
You Can Now Grant Claude Access To Your 1Password Credentials
1Password lets you use Claude agents for personal chores without exposing your credentials.
1Password now lets Claude sign in to websites without seeing your passwords
1Password is launching a new Claude integration for Mac users today. It’s designed to let Anthropic’s AI agent sign in...
Early Verdicts on Claude Science: Faster Workflows, But Gaps Remain
AI giant Anthropic recently announced its scientific workbench, Claude Science. While scientists praised many of its features, they noted that its reasoning needs work.
Uber Blew Its Whole 2026 AI Budget By April. Small Businesses Are Next
Uber spent its 2026 AI budget in four months. Anthropic built spend caps into Claude Enterprise. The cap-and-trace playbook small businesses need now.
Anthropic’s Claude Science app is coming for Kendall Square
Few places on the planet have more at stake in AI’s transformation and disruption of life sciences than the Massachusetts biomedical ecosystem.
Anthropic's Claude Science could disrupt Kendall Square and biopharma
Few places on the planet have more at stake in AI’s transformation and disruption of life sciences than the Massachusetts biomedical ecosystem.
Value Creators Or Self-Dealers? The Choice Facing Business And Society
Businesses & society must choose: Value Creators like Henry Ford (real innovation for customers) or Self-Dealers like Claude Hopkins. Data favor the Value Creators
Officials cheer Anthropic’s expansion in Manhattan
The maker of the Claude chatbot said it's doubling its New York City workforce this year, growing to about 1,000 employees.
Anthropic’s new Claude feature is quietly selling you on AI
Claude’s new Reflect dashboard doesn’t just visualize how you use AI. It also subtly reinforces how much of your daily work now depends on Anthropic’s chatbot.
Say hello to Claude Wrapped
It allows you to see an analysis of your usage data over the past month, three months, six months, or year.
This 12-year-old created an AI receptionist to help small businesses
Mana Jampala is a Gen Alpha founder who is already building enterprise tools using ChatGPT and Claude Code.
Anthropic is launching Claude Cowork on mobile and web
Claude Cowork will also run in the cloud now, so it can keep working on tasks even when you close your laptop.
Claude Cowork expands to mobile and web
Anthropic’s Claude Cowork is now available on web and mobile for Max subscribers. Until now, Cowork largely lived on a user’s laptop. With the update, users can start a task from their desk, get status updates on their phone, and pick up the finished output later — even if their laptop is closed.
Shut Those Laptops! Anthropic Puts Its Claude Cowork Agent on Your Phone
Claude Cowork now keeps working on tasks even after you close your laptop. It’s part of a larger push toward smartphone-controlled agents.
Anthropic Releases Paper About Claude's Mental 'Workspace.' Don't Read It Uncritically
Anthropic's paper and supplementary materials hint at consciousness, perhaps a bit hastily.
Anthropic says Claude has carved out its own space to ponder
The AI lab offers fresh ammunition to the debate over what would count as machine consciousness.
Anthropic's new "J-lens" reveals a silent workspace inside Claude that mirrors a leading theory of consciousness
Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, raising major questions about AI reasoning, interpretability, safety, and machine consciousness.
Claude Science: What Anthropic's New Research Workbench Actually Does for Oncology
Claude Science: What Anthropic's New Research Workbench Actually Does for Oncology /
Claude Fable 5 Helped Port A Native Version Of Command & Conquer: Generals Zero Hour To iPhone & iPad, Complete With Touch Controls And More
A step-by-step guide reveals how Command & Conquer: Generals Zero Hour was natively ported to iPhone and iPad, with the help of Claude Fable 5
The CEO using AI to double revenue with 1,000 fewer hires: ‘Nobody’s going to replace the last mile’
"I was having a conversation this weekend with Claude and it was a pretty in-depth conversation," W.J. Werzyn told Fortune. And then it hallucinated.
Henry Blodget's tech thriller examines AI, wealth, and data centers
Henry Blodget told Business Insider why he chose to edit his book with Claude — but wrote it by hand. He also included Claude's review on its cover.
Anthropic Launches Claude Science Beta: A Multi-Agent AI Workbench for Reproducible Genomics, Proteomics, and Cheminformatics Pipelines
Anthropic released Claude Science, a beta multi-agent AI workbench that runs end-to-end research pipelines and checks every citation.
Cancel ChatGPT and get lifetime access to Claude, Gemini, and more for $55.30 with this code
No monthly subscription fees, and it'll even let you send one prompt to multiple AI models.
The New Anthropic Tool That Could Change How Drugs Are Developed
Introducing Claude Science, the AI platform designed to expedite the discovery of promising new therapies. Anthropic will also use it in-house to pursue innovative treatments for 'neglected' diseases.
Anthropic Wants to Make Its Own Drugs With Help from Claude
The AI company is launching preclinical drug programs for overlooked diseases.
Anthropic wants to develop its own drugs
The AI drug boom has a long way to go before reaching patients.
Claude Fable 5 isn’t permanently leaving subscriptions, Anthropic says
Anthropic says Claude Fable 5 won't be accessible via Claude subscriptions after July 7, but it's not a permanent change, and the company expects the model to return outside the usage-based plan soon.
Anthropic Goes Deeper Into Drug Development With Claude Science
The company launched an app designed as an AI workbench that brings together the vast array of tools used in scientific research and also said it is getting into drug development.
The moment Anthropic convinced me it’s serious about science
AI Prognosis: The release of Claude Science suggests big model makers are getting serious about real science, and not just flashy problems.
Anthropic launches Claude Science AI workbench for researchers
Claude Science connects more than 60 databases and tools in one environment, running on existing Claude models with no specialized biology training
The Download: Anthropic launches Claude Science, and California’s carbon manure math
Plus: The US has lifted restrictions on Anthropic’s Mythos and Fable models.
FDA says Zyn can market its pouches as safer than cigarettes
The influence of the alcohol industry on policy, AI Claude for scientists, and more health news from Morning Rounds
Anthropic debuts AI-driven pharma R&D tool, Claude Science
Anthropic launches Claude Science as big tech companies increasingly eye expansion in the wider healthcare and life sciences space.
Claude Helped a Hacker Find a Way to Issue Tickets to Almost Every US Music Festival
A researcher found that using Anthropic’s Claude Opus 4.7, he could break into the website of Front Gate—used by every festival from Lollapalooza to Bonnaroo—and freely issue any ticket he chose.
Anthropic launches Claude Science for pharma researchers
Anthropic had made a big life sciences play with the launch of Claude Science, an AI 'workbench' for researchers involved in drug discovery.
Anthropic Launches Claude Science to Court Pharma Ahead of IPO
Anthropic unveiled Claude Science, an AI workbench designed to run — not just assist with — pharma research. The company is seeking to build out its customer base in the pharma sector as it deepens its healthcare push ahead of a widely anticipated IPO.
5 takeaways from Anthropic’s big science event
The company rolled out a biology-centric version of Claude and hosted surprisingly forthright conversations about AI and science.
Trump administration lifts Claude Mythos 5, Fable 5 export restrictions after Anthropic works with government
The Commerce Department lifted export restrictions on Anthropic's Claude Fable 5 and Mythos 5 after a review, clearing the models for wider access
Anthropic unveils drug discovery plans alongside Claude Science, an AI tool for drugmakers
At an event on Tuesday, the AI heavyweight said it plans to target "neglected" diseases.
Anthropic's New AI Workbench Mapped My Field For $26. Now Imagine It Aimed At The Rest Of Science
Anthropic's Claude Science is a capable AI research workbench built for molecular biology. The opportunities for the rest of science are enormous.
Claude Science is Here, Antibiotics Designed by Text Prompt Among Applications
Basecamp Research’s antibiotic design and vaccine prediction AI models are now available through Anthropic’s Claude Science.
Researchers say Anthropic’s Claude Science will boost drug discovery
Anthropic's Claude Science aims to speed up drug discovery. Northeastern scientists weigh in on what it could mean for their research.
OpenClaw is finally available on Android and iOS
The free open source agentic program is finally invading your phone.
Claude Science is Anthropic’s newest flagship product
The company is doubling down on AI for science.
Anthropic launches Claude Science
CNBC's Angelica Peebles to talk Anthropic's new healthcare offering.
With Claude Science, Anthropic Targets Another Application
Anthropic is targeting the science vertical with a new AI workbench.
Anthropic Launches Claude Science AI Workbench for Scientific Research
June 30, 2026 — AI has the potential to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Since launching efforts in the life sciences last fall, […]
Anthropic debuts Claude Science, an AI product for bioscience
On Tuesday, Anthropic announced Claude Science, a new product that company leaders describe as an AI workbench for scientific research.
Anthropic just released a brand-new Claude Science app for Mac
Anthropic just launched a brand-new desktop app called Claude Science. The new app joins the main Claude app on the...
Anthropic unveils 'Claude Science' AI platform for scientific research
Anthropic on Tuesday launched Claude Science, an AI platform designed to help scientists streamline research, analyze data and manage complex computing workflows.
Anthropic’s Claude Science bets on workflow, not a new model, to win over scientists
Anthropic's Claude Science is a workbench that gives scientists one environment to do computational research, saving them from the need to bounce between databases, pipelines, and tools.
Anthropic releases Claude Science, a product aimed at researchers, the pharma industry
Anthropic released Claude Science, an application that optimizes its large language model for scientists and, especially, those doing research at pharma companies.
Anthropic launches Claude Science in bid to expand revenue streams ahead of IPO
Anthropic is launching its Claude Science product as it seeks to increase revenue streams ahead of its anticipated initial public offering.
Basecamp Research brings EDEN's antibiotic and vaccine design models to Claude Science
/PRNewswire/ -- Basecamp Research today announced that its antibiotic design and vaccine target prediction EDEN models are now available through Claude,...
Claude Science, an AI workbench for scientists
Claude Science is a customizable app that integrates the tools and packages researchers most often use, produces auditable artifacts, and provides flexible access to computing resources.
The Briefing: AI for Science \ Anthropic
The Briefing is coming to San Francisco on June 30, 2026. Join Anthropic leadership, life sciences executives, and leading research institutions for an exclusive look at how Claude is being put to work across science.
Newsom's office touts Anthropic 'partnership,' 50% discount on Claude AI for California agencies, localities
Golden State Gov. Gavin Newsom's office indicated that state agencies and local governments may access Anthropic's Claude artificial intelligence platform at a 50% discount.
The fittest founder in the room got cancer. Here's how he used AI to fight back.
When confronted with cancer, Connor Christou fed everything tied tied to his regime — blood results, scan data, wearable output, journal entries — into Claude.
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
Anthropic accused Alibaba of exploiting its AI models
Anthropic said the Chinese company interacted with Claude millions of times through 25,000 fraudulent accounts in recent months.
Ubisoft co-founder Claude Guillemot has died in a plane crash
The French businessman was 69 years old
Ubisoft co-founder Claude Guillemot dies in plane crash
Guillemot was one of two people killed in the accident on 19th June in Brittany, France, after the twin-engine plane – registered to Guillemot – crashed.
Ubisoft co-founder Claude Guillemot dies in plane crash
Claude Guillemot, who founded Ubisoft with his four brothers, has died at the age of 69.
Claude Guillemot, Ubisoft Co-Founder, Is Dead After Plane Crash in France
Claude Guillemot, 69, founded the video game company, which was also known for the hit Far Cry, with his brothers in 1986. He was killed in western France.
Ubisoft co-founder Claude Guillemot killed in plane crash that claimed 2 lives: report
Claude Guillemot, one of the five brothers who founded Ubisoft in 1986, reportedly died in a twin-engine plane crash in La Baule, France.
Ubisoft co-founder Claude Guillemot killed in plane crash that claimed 2 lives: report
Claude Guillemot, one of the five brothers who founded Ubisoft in 1986, reportedly died in a twin-engine plane crash in La Baule, France.
Co-founder of ‘Assassin’s Creed’ video game giant dies in plane crash
Ubisoft co-founder Claude Guillemot, 69, died in the crash on France’s Atlantic coast along with another occupant of a twin-engine Cessna 421.