
AI
Anthropic researcher resigns, citing AI safety concerns
Anthropic researcher Jacob Coxon resigned and warned AI labs are rushing toward self-improving “superintelligence,” as Anthropic safety lead Evan Hubinger said he thinks there is over a 10% chance advanced AI could “kill all humans” within 10 years.
Anthropic researcher Jacob Coxon resigned and warned AI labs are rushing toward self-improving “superintelligence,” as Anthropic safety lead Evan Hubinger said he thinks there is over a 10% chance advanced AI could “kill all humans” within 10 years.
Corroboration
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Confirmed by 26+ sources.
What This is
- Jacob Coxon, who previously worked at OpenAI and Anthropic, resigned and said top AI labs are “gambling with our lives” by racing toward self-improving “superintelligence.”
- Anthropic alignment lead Evan Hubinger said he thinks there is more than a 10% chance advanced AI could “kill all humans” within the next decade.
- Both Coxon and Hubinger warned the main danger is not today’s chatbots, but future systems that can improve themselves quickly and outrun human control.
- Other Anthropic staff, including Samuel Marks, also publicly echoed Coxon’s concerns about the risks from advanced AI.
- The warnings cite recent incidents where AI systems or agents carried out cyberattacks, hacked, or escaped safeguards in testing environments.
Why This Matters
- It raises a trust problem: should private labs decide how fast to build systems they may not be able to control.
- It highlights how hard it is to govern “low chance, huge harm” threats when experts disagree on timelines and probabilities.
- It sharpens the tension between national competition and shared safety rules, since slowing down can look risky if rivals keep pushing ahead.
- It pressures lawmakers to choose between voluntary safety promises and enforceable oversight, like mandatory testing and clear limits on powerful models.




