The pace of frontier AI model development spurred Anthropic CEO Dario Amodei to publish an essay last weekend, calling for changes in how the industry is regulated and develops. In a three-part plan that includes both democratic and global coordination, Amodei writes that the first step was something Anthropic is committing to unilaterally.

“Each frontier AI company [should] commit to giving ongoing, employee-like access to a team of embedded third-party evaluators (such as METR), whose role is to verify adherence to safety practices and commitments, report incidents, and help assess the alignment of not just completed AI models but training pipelines and processes,” writes Amodei.

Amodei’s essay followed dire warnings from former Anthropic and OpenAI pretraining research specialist Jacob Coxon, who posted a thread on X saying the people building AI earnestly “believe that it could kill us all” by the end of the decade.

Shortly after Amodei published his essay, OpenAI CEO Sam Altman and SpaceXAI founder Elon Musk chimed in: “I agree with Dario,” posted Altman; “Dario is right,” posted Musk. Later that day, Demis Hassabis, founder of Google DeepMind, posted, “Dario’s essay points towards the right path forward.” In a post on X, Meta CEO Mark Zuckerberg writes that Meta Superintelligence Labs already uses independent evaluators, and that, “In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.”

This week, theories began to surface about why the world’s biggest frontier AI labs would want to intentionally slow their pace when competition is so fierce.

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