Anthropic

President Trump has pushed to accelerate artificial intelligence development with minimal regulation, but Anthropic has become an obstacle to that agenda. The company's safety-focused stance and disagreements with the White House over how fast and freely AI should advance have put it at odds with an administration otherwise eager to champion the industry.

A U.S. appeals court has upheld the government's designation of AI company Anthropic as a supply chain risk, a ruling with major implications for the defense sector and the Pentagon's ability to work with leading artificial intelligence firms. The decision resolves a legal challenge to the classification, which can restrict or complicate federal contracts involving the company's technology.

A new antitrust lawsuit targets Anthropic, OpenAI, xAI and Google, alleging the AI companies agreed among themselves to slow the pace of AI development. Plaintiffs claim the arrangement was planned for months before the firms publicly framed the agreement as responsible self-regulation, arguing it was instead self-serving collusion that restricted competition in the fast-moving AI market.

A new episode of the All-In Podcast covers mounting speculation that Anthropic's planned IPO could be at risk, alongside discussion of Meta's Muse gaining popularity, falling token prices, open source models gaining market share, and renewed concerns about AI alignment failures. The panel weighs what these shifts mean for the competitive balance among leading AI companies.

The chief executive of AI company Anthropic has called for stronger regulation of artificial intelligence, telling ABC News in an exclusive interview that tougher oversight is needed as the technology advances. The remarks add to a growing debate in the United States and Europe over how governments should police powerful AI systems while keeping innovation alive.

Anthropic says its biology lab has already made what it describes as a major discovery, according to a TechCrunch report. The company, best known for its AI models, has been applying its technology to life sciences research, and the announcement has drawn attention on technology forums. Details of the finding have not been laid out, leaving observers speculating about what the lab actually discovered and how significant it is.

Anthropic has agreed a $12 billion deal with Akamai for AI computing capacity, according to a Bloomberg report. The agreement adds another major infrastructure supplier to the AI company's computing arrangements and underlines the enormous sums being spent on compute as firms race to build and serve large AI models. Details on timelines and how the capacity will be used were not disclosed.

Anthropic says its Claude AI helped identify a previously unknown gene-editing enzyme, a claim that, if verified, would mark a significant moment for AI-driven scientific discovery. However, the finding has not yet been independently confirmed by the scientific community, and experts are urging caution until the results are peer-reviewed or replicated in the lab.

The chief executives of OpenAI and Anthropic have been called to appear before an Australian parliamentary inquiry into artificial intelligence, according to Reuters. The summons puts the heads of two of the world's leading AI companies at the centre of Australia's examination of the technology's risks and regulation. The companies have not yet publicly responded to the invitation.

Anthropic says its Claude AI model has independently discovered a new enzyme system after analysing DNA databases, marking the first discovery to come out of the company's newly established biotech laboratory. The announcement is being shared widely in German-language tech and science circles, with commentators framing it as a milestone for AI-assisted biological research.

OpenAI and Anthropic have found that AI safety incidents occur at a scale well beyond what either company has previously disclosed publicly, according to a report picked up by technology news outlets. The finding suggests internal monitoring of model failures and misuse reveals more problems than companies currently share with the public.