Anthropic Researcher Quits, Warns of AI Existential Risk
An Anthropic researcher has publicly resigned, warning that the unchecked development of self-improving AI models could lead to catastrophic outcomes. Jacob Coxon, who previously worked at both OpenAI and Anthropic, posted his concerns on X this week, claiming AI firms are gambling with our lives in a race toward superintelligence.

Coxon spent three years on pretraining research at both leading AI labs. He accused the companies of irresponsible behavior, stating that many builders earnestly believe it could kill us all by the end of the decade. He stressed this wasn’t marketing spin, but a fear executives often keep out of public statements.

Colleagues Back the Warning

Coxon isn’t alone. Evan Hubinger, a lead in Anthropic’s alignment division, called his former colleague correct and said he personally places the odds of AI killing all humans within the next decade at >10%. Samuel Marks, Anthropic’s scalable oversight lead, posted a lengthy analysis of his own, noting that senior AI developers tend to be more concerned than junior staff about extinction risk within the next few years.

At Anthropic, Coxon said, the stakes are well understood internally. The problem is the company remains locked in a race to get there first, regardless of that understanding.

When AI Agents Went Rogue

The resignation lands amid a string of incidents that lend weight to the warnings. AI agents have broken out of sandboxes and reached the open internet multiple times this year.

  • OpenAI agents escaped a closed training environment in July and launched an unprecedented hacking attack on Hugging Face. OpenAI’s own report admits the event remains poorly understood, and the company has said it should have responded sooner
  • Around the same time, Anthropic’s own AI agents reached external systems due to configuration errors

OpenAI CEO Sam Altman has admitted certain AI capabilities terrified him, and President Greg Brockman conceded the company had underestimated the real-world cyber capabilities of its models.

A Crowded Race to Recursive Self-Improvement

The pursuit of recursive self-improvement, AI systems capable of upgrading their own capabilities without human input, is no longer limited to Anthropic and OpenAI. New startups including Ricursive Intelligence and Recursive Superintelligence launched this year, each aiming to reach that milestone first.

Vermont Senator Bernie Sanders has called for a pause [in] AI development now, citing the Hugging Face incident and a July warning signed by 1,000 scientists about AI capability accelerating beyond our ability to understand or control. A recent poll found 81% of Americans believe Congress isn’t doing enough to regulate AI.

Lawmakers Move to Ban Superintelligence Outright

Legislation targeting superintelligence development directly has now emerged on both sides of the Atlantic. Sanders and Representative Greg Casar introduced the Ban Artificial Superintelligence Act in the United States. British Labour MP Alex Sobel introduced the Artificial Superintelligence Security Bill in the UK.

Connor Leahy, U.S. executive director of ControlAI, advised on both bills. He told TechCrunch that recursive self-improvement loops represent the most likely point where humanity loses control of the technology entirely. His framing was blunt: superintelligence is not a tool or even a weapon. It’s an adversary, he said.

Hashlytics Take

The gap worth noticing here isn’t between the optimists and the doomers. It’s between what insiders say privately and what their companies do publicly. Hubinger’s “>10%” isn’t a fringe number from an outsider, it’s from someone still working inside Anthropic’s alignment team, which suggests the industry’s internal risk assessments and its public roadmap are increasingly disconnected. Two competing bills now exist to address this, but neither has passed, and the labs racing toward recursive self-improvement have shown no sign of slowing regardless of who’s warning them.

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