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Anthropic has confirmed to TechCrunch that it operates a physical biology lab in the Bay Area, where its AI models help design and test experiments in real life. The company says the lab focuses on fundamental biology research rather than drug discovery, and works both internally and with outside partners, building on its April acquisition of stealth biotech startup Coefficient Bio.
Anthropic announced that Accenture, through its AI division Faculty (acquired in January), will place staff inside the company to red-team models, run alignment assessments, and test safeguards. Anthropic and Accenture plan to jointly invest at least $1 billion over five years in the arrangement, part of Dario Amodei's push for third-party evaluators embedded within AI labs. Accenture shares rose 8% after hours following the news.
Reports indicate Anthropic's anticipated initial public offering will now arrive roughly a month later than earlier projections suggested. The AI company, one of the most closely watched startups in the sector, has not detailed the specific reasons behind the shift in timing.
Anthropic named Accenture as its first embedded evaluator, marking an initial practical step toward CEO Dario Amodei's proposal to slow the pace of frontier AI development. Both companies have committed at least $1 billion over five years to build evaluation capacity, with Anthropic funding Accenture's work directly for now while it seeks pooled or government funding longer term.
Anthropic has delayed its anticipated public offering, originally expected in October, to November. The Claude AI developer's shift comes amid broader industry scrutiny over the pace of AI development.
Anthropic's Claude Code tool will now read an AGENTS.md file when a project lacks a CLAUDE.md file. This lets developers who already use the AGENTS.md convention for agent instructions get compatible behavior from Claude Code without creating a duplicate configuration file.
Reuters reports that Anthropic, the AI company known for publicly warning about the risk of AI-assisted bioweapon design, has quietly established a physical wet lab in the US where its Claude model directs robotic assistants through biology experiments. The setup reportedly lets Claude plan and oversee lab procedures with minimal human intervention.
Following an Anthropic researcher's warning about AI risks, CEO Dario Amodei proposed a framework for AI labs to coordinate development speed through independent safety evaluators, particularly among companies in democratic nations. The idea has drawn some support but also criticism, notably from Nvidia CEO Jensen Huang, who pushed back on the approach.
A wave of alarm over AI risks has spurred calls for new regulatory frameworks, from an FDA-style safety agency to bank-style supervision or even a development pause, with figures like Alex Bores and Bernie Sanders backing such proposals. The author argues that laws and regulators already exist to address many of AI's harms, but enforcement against powerful tech firms has been weak, raising doubts that new rules would fare any better.
California Governor Gavin Newsom issued an executive order directing state agencies to accelerate work on artificial intelligence oversight and accountability measures. The move follows warnings from a former Anthropic researcher about existential risks posed by AI, and comes amid stalled federal action on the issue. Newsom, seen as a potential 2028 presidential contender, framed the order as a response to what he called Washington's failure to regulate the technology.
Super PACs tied to AI companies and investors have funneled almost $1 million to support Republican Senator Mike Rounds of South Dakota, even though he faces little competition in his reelection race. About $600,000 came through the group Defend American Jobs, backed by Andreessen Horowitz-linked funding, while another $215,000 arrived directly from employees and PACs connected to Anthropic, Google and Microsoft.
A leaked resignation post from a junior Anthropic employee, who accused frontier AI companies of racing toward self-improving intelligence, spread widely and reignited public alarm over AI safety. A more senior engineer reportedly echoed internal estimates that the company's work carries roughly a 10 percent chance of catastrophic harm. In response, CEO Dario Amodei published an essay outlining a path toward safer AI, but conceded that researchers still understand only a fraction of how these models actually operate internally.