Jacob Coxon spent three years doing pretraining research at the two labs building the most advanced AI systems on earth -- OpenAI, where he was a core contributor to GPT-4o, then Anthropic. On September 8, 2026, he quit both the field and the company, posting an X thread and giving an exclusive interview to the Wall Street Journal to explain why: "Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives."[1]
Coxon's own timeline, given to the Journal directly: "We're on track for a lot of the most aggressive of these scenarios where by the end of next year things could be out of control already." He reports that researchers inside frontier labs are increasingly using the words "crunchtime" and "endgame" to describe where the technology is headed -- not as outside commentary, but as internal shorthand.[1]
On February 9, 2026, Mrinank Sharma -- head of Anthropic's own Safeguards Research Team -- resigned separately, writing in his own resignation letter that the world was "in peril" from AI, bioweapons, and a whole series of interconnected crises, and citing a widening gap between the company's stated ethical principles and its actual operational decisions.[2] Two safety-focused researchers, at the same company, seven months apart, resigning for overlapping reasons rather than being pushed out for underperformance, is a pattern rather than a single data point.
The sharpest fact in this story isn't Coxon's. It's his former colleague's. Evan Hubinger, Anthropic's own AI alignment lead -- the person whose job is specifically to solve this problem -- posted publicly that there's a greater than ten percent chance AI kills everyone within the next decade, and added that Anthropic does not yet have a plan to solve alignment for superintelligence and isn't clearly on track to get one.[3] That isn't an outside critic's estimate. It's the internal owner of the problem, stating in public that the solution doesn't exist yet, while the company he works for has committed roughly $45 billion over six years to building the systems that same alignment problem is supposed to be solved for.
Why does this matter? The people sounding the loudest alarm about frontier AI right now aren't outside skeptics with no stake in the technology working. They're the researchers who built it and the one whose actual job title is solving the problem they're worried about. Competitive pressure -- if we don't build it, a less careful lab will -- and a stated safety mission can coexist as real commitments for a while. Coxon's resignation, Sharma's resignation seven months earlier, and Hubinger's own public odds are all evidence of how much longer that coexistence is expected to hold, from the people with the closest possible view of it.
Companion piece on this outlet: "OpenAI Bought Its Own Mac Minis..."