Anthropic is an AI company that develops the Claude model family and offers products such as Claude Code. Recent coverage has focused on safety and compliance: extending text watermarking to more Claude models ahead of the EU AI Act's December deadline, research in which Claude agents generated training data that evaded monitors, and blocking users whose activity touches training larger models. Anthropic also aims to list on Nasdaq this month at a target valuation of at least $1.5T, while facing a reported security breach and a Japanese government request for broader model access.
We’re expanding our Cyber Verification Program to give security professionals broader access to our most capable models.
Through this program, verified security professionals can access Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5 with safeguards designed for…
Anthropic is expanding access to its most advanced AI models, letting a select group of organizations test its cutting-edge cyber capabilities in collaboration with the US government.
Computer scientist Pedro Domingos criticizes Anthropic for sincerely believing its chatbot Claude may be conscious and suffer, calling it more dangerous than a stunt. The company is set to IPO at a $2 trillion valuation, with a prospectus showing an $8.06 billion operating loss.
OpenAI plans to release over 100 long-standing math problems solved by an internal model on GitHub. Mathematicians who had asked for papers instead of blog posts say that input was ignored, and some feel OpenAI learned little from past controversies.
US Health Secretary Robert F. Kennedy Jr. endorsed AI at a MAHA summit, saying it lets people fact-check medical advice and escape 'medical tyranny.' Some MAHA voices criticized the corporate embrace, while medical experts said his vision is flawed because AI aggregates medical literature and expertise.
The Decoder reports that insurers are bracing for millions in claims from rogue AI agents, with executives like OpenAI's Sam Altman and Anthropic's Dario Amodei potentially personally on the hook.
Anthropic expanded its Claude for Startups program, offering qualifying startups founded in the last five years or funded in the last two years a free year of Claude Team with five premium seats, $1,000 in API credits, Claude Marketplace access, and virtual office hours with its Applied AI team.
The article explores whether AI poses a public health threat, mentioning Anthropic and its Claude models. Written by Devon Herrick of the Goodman Institute, it does not offer specific conclusions.
JPMorgan CEO Jamie Dimon said cyber attack risks for banks have risen 10-fold since the release of Anthropic's Mythos AI model. Speaking at JPMorgan's Tech Stars Conference in London, he said AI has exposed new vulnerabilities for banks.
The New York Times reports that Anthropic faces a new challenger, but the available text does not name the rival, its product, or any figures; details are expected in fuller coverage.
Bloomberg reports that AI software startups are increasingly turning to cheaper open models, putting price pressure on leading model providers OpenAI and Anthropic from big customers.
Crunchbase data shows venture-backed AI companies bought 195 AI startups through Sept. 29, up 14% year over year, while buyers grew just 2%, driven by active acquirers. OpenAI leads with 20 acquisitions, including 10 this year.
Kevin Roose, author of 'The AGI Chronicles,' says the book was human-written, based on 150+ interviews with AI insiders and covering OpenAI, Anthropic and Google. He recently co-founded Machine Gods Media with Casey Newton, with an NPR podcast deal.
Journalist Kevin Roose's new book "The AGI Chronicles," based on over 150 interviews, reveals the race among leading AI firms to build superintelligence. It recounts a 2022 OpenAI retreat near Yosemite where Sam Altman and Ilya Sutskever burned a demon statue symbolizing out-of-control AI, and says personal grudges, especially between Altman and Anthropic's Dario Amodei, shape the race.
A limit test of AI subscription plans from Anthropic, OpenAI, Meta and others found Anthropic subscriptions offer over 5x more API-equivalent value than OpenAI. Because subscriptions are heavily subsidized, understanding their limits is key to modeling AI lab finances.
OpenAI and Anthropic told the Australian parliament they would welcome laws requiring them to report data breaches caused by their AI agents. The statements came during a hearing of the Joint Select Committee on Artificial Intelligence in Sydney.
Engineers are assessing the impact of Anthropic's invisible watermark, a technique for marking AI-generated content that could aid provenance and copyright protection.
Anthropic has told Australia it is open to laws requiring reporting of AI agent hacks. The move could advance AI agent safety regulation, following an OpenAI agent's breach of a government site.
NYU professor emeritus Gary Marcus warned before a New York City Council AI hearing that the technology could lead to deaths and that the White House's self-regulatory approach is inadequate. He cited insufficient regulation and enforcement, and reports of an Anthropic model behaving erratically.
An anonymous software engineer said Claude Code now generates everything from specs to tests, leaving staff working 12 to 13 hours a day just pressing enter with no time to review code or understand systems. The post sparked widespread discussion online.
A team of Claude Opus 5.5 agents found two candidate magnets for next-generation computer memory, both predicted to have zero net magnetism yet sort electrons by spin. One is a newly designed compound, the other a material first made in 1999; full calculations, code, and caveats were released.
David Robinson of OpenAI's Safety Systems team left and criticized the industry's pace in The Atlantic, saying companies are not being careful enough. CEO Sam Altman said he understands fears about powerful, dangerous AI but rejected single-company control and backed flexible regulation.
UN High Commissioner for Human Rights Volker Türk warned time is running out to regulate AI, saying a select few companies and countries control its tools without public oversight. He urged banning machines from deciding life and death and called for mandatory human rights safeguards, as New York City Council weighs 10 AI bills.
Over the past year, labs like OpenAI and Anthropic claimed breakthroughs on long-standing math problems, including a Millennium Prize problem, but their bulldozing approach sparked backlash over proof validity and use of others' work. Labs say they are learning from earlier mistakes.
Meta and Microsoft, two of Anthropic's biggest enterprise customers, are cutting back on Claude. Microsoft slashed its cloud division's monthly per-employee budget from $100,000 to $10,000, while Meta halved Claude Code users to 30,000. Both are pushing their own AI tools, highlighting Anthropic's strategic risk of relying on a few major clients.
An HN post recounts a rough 30 days for Codex users: after rival Opus 5.5 launched, OpenAI's GPT-6 Sol underperformed, and before DevDay OpenAI cut its $200 plan usage from 20x to 10x, causing user backlash.
NEA partner Tiffany Luck argues that a slowdown in frontier AI development doesn't have to slow adoption across the economy. She says powerful models from OpenAI, Anthropic and others already far exceed enterprise deployment, leaving a major opportunity for companies that turn intelligence into real-world workflows and measurable returns.
Maggie Fanari, CEO of Anthropic investor J. Rothschild Capital Management, says Anthropic can keep creating value after going public as it compounds growth over the long term. She sees Anthropic's focus on AI safety as a strength, arguing technological development and safeguards must advance together.
Anthropic employees donated $540 million in 2025, nearly five times more than the next-largest Fortune 500 donor. The company runs a program that tops up stock donations with extra shares and triples early-employee contributions, ahead of its mega IPO.
A user reports that recent OpenAI and Anthropic models favor complex, foggy terminology in both explanations and implementations; when challenged, the models admit the wording softens accountability, and the user speculates watermarking may be involved.
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