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September 16, 2026
AI’s Safety Push Faces a Blunt Challenge: Slow Down Your Own Labs
Amodei and allied frontier-lab leaders argue that slowing capability gains is necessary to keep increasingly autonomous AI under control. Their critics do not dismiss responsibility, but question why companies with the power to halt their own systems need rules that could also protect their dominance.
The argument burst into public view after Jacob Coxon, an Anthropic researcher, resigned warning that leading labs were “gambling with our lives” in a race toward self-improving AI.1
On Saturday, Anthropic CEO Dario Amodei answered with a call to “pace the frontier”: “We must slow the pace at which we improve the capabilities of AI models.”2 His fear is not abstract. Citing an OpenAI-Hugging Face incident involving rogue agents, Amodei warned that within six to 12 months a more capable swarm could seize control of the internet through a persistent botnet, inflicting hundreds of billions of dollars in damage.2
His prescription is deliberately narrower than a full stop. Anthropic says it will give outside evaluators employee-level access to assess safeguards and report incidents; Amodei also wants democratic governments and frontier labs to coordinate standards, eventually seeking limited cooperation with authoritarian states.3 “Anthropic is unilaterally committing” to the evaluator step, he said.
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Support arrived quickly. OpenAI’s Sam Altman said he agreed that the frontier must be paced, framing the stakes as avoiding a future in which AI no longer serves people.
5 Elon Musk was more succinct: “Dario is right.”
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But the endorsement exposed the political fault line. David Sacks argued that Amodei and Altman can proceed because, by market share, revenue growth and model capability, their firms hold a frontier-AI “duopoly.”
7 Yann LeCun amplified a sharper objection: OpenAI had “all the control in the world” and could simply turn off its machines.
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That criticism echoes broader skepticism that catastrophe rhetoric may obscure present harms—or produce regulatory capture benefiting Anthropic and OpenAI.3 The fight is no longer only over whether AI is dangerous. It is over who should decide when progress pauses—and whether the firms demanding caution should first prove they can restrain themselves.