Former Anthropic and OpenAI Researcher Jacob Coxon Resigns
Another week, another high-profile exit from a frontier AI lab. But this one is different in a way that matters for anyone who builds, deploys, or depends on large language models. Jacob Coxon, a 27-year-old pretraining researcher, announced late Tuesday that he has resigned from Anthropic and is leaving the AI industry entirely. He spent the last three years working on pretraining at both OpenAI and Anthropic, the two labs most often described as the current frontier. He did not leave quietly. His resignation thread on X named both companies as acting irresponsibly, and the Wall Street Journal ran an exclusive interview the same night. Here is what happened, and why it should register with technical people, not just policy watchers. What Coxon actually said The core of his statement is short. In his own words, both labs are "racing straight to self-improving superintelligence and gambling with our lives." He estimates a greater than 10 percent chance that advanced AI could kill all humans within the next decade, and he says that this belief is not fringe inside the labs. Colleagues, he claims, now talk openly about "crunchtime" and "endgame." Notably, he does not treat the two companies identically. Coxon's view, as reported by the WSJ and summarized across coverage, is roughly this: OpenAI, in his assessment, has not fully internalized the civilizational stakes of what it is building. Anthropic, he believes, does understand the stakes and is making earnest safety efforts, but is racing anyway on the logic that no competitor can be trusted to reach the frontier first. He moved from OpenAI to Anthropic earlier this year precisely because of Anthropic's safety reputation. His conclusion after working there is that the problem is structural, not cultural: no single company can responsibly build systems that outperform humans across a broad range of tasks without either government intervention or a coordinated slowdown across the industry. His timeline is aggressive. I