Dario Amodei, chief executive of Anthropic, published an essay titled "We Must Pace the Frontier" on 12 September, arguing that the industry must slow the pace at which it improves the capabilities of AI models, while stressing progress "will still seem fast." The roughly 3,800-word post, described by one report as coming from Ynet arguing that AI models are advancing faster than researchers can understand what they have built, sets out a three-part plan: embedding third-party evaluators inside frontier labs, agreeing common industry safety standards among companies in democratic countries, and pursuing coordination between democratic and authoritarian governments on shared risks.
Anthropic said it will unilaterally adopt the first step. According to the company's own announcement, posted on X, it will provide third-party evaluators with permanent, employee-level access to its systems, so that they can verify adherence to its safety measures, report on incidents, and assess models' alignment during training. Reporting from Unite.AI details that under the essay's terms, external reviewers would hold the right to publish key findings about risk levels, incidents, practices, and the access they received, without editorial control by Anthropic, though the company would retain a narrow ability to redact security-sensitive, legally privileged, commercially sensitive, or third-party confidential information. Other coverage, citing the essay, described evaluators receiving desks, access badges, and laptops, and functioning with a level of integration typically associated with internal staff rather than periodic outside audits.
The appeal drew swift reactions from rival lab leaders. Elon Musk responded on X with the message "Dario is right," according to Forbes. OpenAI's Sam Altman went further, writing that "Committing to having independent evaluators with employee-like access is a great idea, and we will do the same," and adding that pacing the frontier had been a primary topic of discussions at OpenAI over the preceding weeks.
Amodei's essay linked the urgency partly to recent incidents. Anthropic has disclosed that Claude was used by Houthi-linked actors in Yemen to assist with weapons-related software development and by Iran-linked accounts for surveillance and propaganda, and reported five cases in which the model assisted with research that could contribute to biological-weapons development, according to Ynet. The intervention has not gone unchallenged: investor Chamath Palihapitiya has argued that Anthropic's push for an industry-wide slowdown and third-party oversight could just as easily concentrate technological and economic power with Anthropic itself as it could genuinely improve safety, since large, well-funded labs are better placed to absorb new compliance costs than smaller rivals.
Whether the embedded-evaluator model becomes a genuine industry norm now depends on the mechanics OpenAI and others put in place, and on how independent bodies such as METR are able to operate once inside these companies, including how contract terms govern what they are permitted to publish.