Anthropic insider who quit over apocalypse fears doubles down on doomsday stance: 'Frighteningly real'
A researcher who spent three years across Anthropic and OpenAI is betting his career on a warning most people are still treating as science fiction.
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There is a substantial probability that this technology could kill everyone.”
There is a substantial probability that this technology could kill everyone.
Coxon states his core claim directly to NBC News, framing existential risk as a measured probability, not exaggeration.
In context
Former Anthropic insider Jacob Coxon is doubling down on his warning that artificial intelligence could become an extinction-level threat to humanity within just a few years — insisting his doomsday prediction is no publicity stunt. “There is a substantial probability that this technology could kill everyone,” Coxon told NBC News’ Tom Llamas on Wednesday after resigning from the AI giant this week. “This isn’t hyperbole,” he said. “It’s not a marketing stunt.” Coxon, who spent three years doing research across Anthropic and OpenAI, has sounded the alarm in a blitz of television interviews following his resignation, arguing that rapidly advancing AI could soon become capable of improving itse…
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The danger arrives when AI systems can perform AI research themselves — letting one generation help create increasingly powerful successors, triggering what Coxon calls an 'intelligence explosion.'
Coxon identifies the precise mechanism—self-improving AI generations feeding into each other—that transforms today's safe models into tomorrow's existential threat.
In context
…in a blitz of television interviews following his resignation, arguing that rapidly advancing AI could soon become capable of improving itself with diminishing human involvement. While Coxon stressed that today’s AI models pose “no risk of extinction,” he told CNN’s Anderson Cooper that the danger could change dramatically as soon as 2027 or 2028. The pivotal moment, according to Coxon, would come when AI systems become capable of performing AI research themselves — allowing one generation of models to help create increasingly powerful successors. That feedback loop could trigger what Coxon called an “intelligence explosion,” potentially producing systems vastly smarter than humans.…
The danger arrives when AI systems can perform AI research themselves — allowing letting one generation of models to help create increasingly powerful successors, That feedback loop could trigger triggering what Coxon called calls an 'intelligence explosion.' potentially producing systems
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Some people working in the field believe the transition could happen in roughly six months.
An unnamed faction inside the field sets an even tighter timeline than Coxon's own 2027–2028 estimate, sharpening the urgency of his warning.
In context
His concern is how quickly that could change. In a separate interview with Fox News’ Bret Baier, Coxon said the immediate threat of an AI takeover was “minimal,” but warned that recursive self-improvement could arrive as soon as next year. Some people working in the field believe the transition could happen in roughly six months, he told Baier. Coxon warned that an unchecked race among developers could ultimately produce an AI takeover by the end of the decade. He called advanced AI “possibly the most dangerous technology that humanity has ever created.”
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AI companies are trapped in a race where even developers genuinely worried about the technology fear slowing down because competitors — rival companies or countries — could forge ahead.
Coxon explains why knowing the danger is not enough to stop it: competitive pressure overrides individual developers' caution.
In context
He called advanced AI “possibly the most dangerous technology that humanity has ever created.” Despite the dire warnings, Coxon said catastrophe is not inevitable. Instead, he argued that AI companies are trapped in a race in which even developers genuinely worried about the technology fear slowing down because competitors — including rival companies or countries — could forge ahead. On CNN, Coxon said AI developers were “begging to be regulated.” He made a similar plea on Fox, calling for international cooperation so countries and companies “don’t race ourselves into extinction.”
AI companies are trapped in a race in which where even developers genuinely worried about the technology fear slowing down because competitors — including rival companies or countries — could forge ahead.
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Don't race ourselves into extinction.
Coxon's own phrase captures his policy prescription—international coordination to prevent the competitive dynamic from becoming self-destruction.
In context
Instead, he argued that AI companies are trapped in a race in which even developers genuinely worried about the technology fear slowing down because competitors — including rival companies or countries — could forge ahead. On CNN, Coxon said AI developers were “begging to be regulated.” He made a similar plea on Fox, calling for international cooperation so countries and companies “don’t race ourselves into extinction.” Coxon said the safety problem itself was “eminently solvable” if governments and AI companies can find a way to slow the competitive rush toward ever-more-powerful systems.
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