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Jacob Coxon, a former artificial intelligence researcher at OpenAI and Anthropic, has warned that the rapid development of advanced AI could pose an unprecedented threat to humanity.
Jacob Coxon, who said he spent the last three years doing pre-training research at OpenAI and Anthropic, announced his resignation at X on Wednesday, accusing both companies of racing toward increasing superintelligence without adequate safeguards.
“I resigned from Anthropic today. I spent the last three years doing pre-training research at OpenAI and Anthropic. Neither company is acting responsibly. They are racing to advance superintelligence and risking our lives.” he said.
He warned against underestimating the capabilities of increasingly sophisticated AI systems, saying that AI systems will soon surpass humans in important areas and gain significant power and resources.
“Don’t underestimate the power of this technology. It will soon become a superhuman system that can hack anything, revolutionize any field overnight, and gain real power and resources. We have all witnessed progress in each of these fields, and progress is not slowing down,” he said.
Coxon claims that people working on advanced AI are privately aware of the possible disastrous consequences.
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“The people building AI firmly believe that AI could kill us all by the end of the decade. This is not a marketing stunt. In fact, many executives and senior researchers will put their statements in the media to sound reasonable – but I hear the same people express their fears privately. No other human activity poses as much danger as this,” he added.
Coxon’s concerns were later supported by another Anthropic researcher, Evan Hubinger, who said that he personally believes there is a more than 10 percent chance that AI could kill all humans in the next decade.
“Jacob is right on this—we truly believe that AI can kill all humans! I personally think the number is >10% in the next decade.
“I believe Anthropic is trying its best, but we don’t have a plan to complete superintelligence alignment and we’re not clearly on the right track yet,” he added.
Coxon’s resignation comes as leading AI companies continue to develop increasingly capable systems, while researchers and policymakers debate how to manage the potential risks associated with advanced artificial intelligence.
