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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score13

Former Anthropic researcher Jacob Coxon says he may return to an AI labMachine translation

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In a Stanford interview, Jacob Coxon said he is unsure whether leaving Anthropic was the right decision: staying to do safety research might have had more impact, and he has not ruled out going back. He also said internal model capability projections led him to think AI may be nearing recursive self-improvement; this is his assessment, not an observed development.

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ReplyRohan Paul@rohanpaul_ai
"I like money, bro. I agree. It's blood money." Jacob Coxon, the researcher who sensationally quit Anthropic, in a new interview at Stanford. Pressed by Rob Reich on whether keeping his OpenAI equity hurts his credibility, Coxon openly admits he still holds it, likes the money, and agrees it is "blood money." He argues that giving it away would not change anything ---- Full video on "Stanford HAI" YouTube channel, (link in comment)
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Full video on "Stanford HAI" YouTube channel https://t.co/9rGsT5vJzd
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Jacob Coxon may return to an AI lab. This is that Anthropic researcher whose public resignation went viral, now says he is not sure quitting was right and might even go back, in a new Stanford interview. "I think for now the hesitancy really is that I'm not sure I made the right decision in leaving. I have not been convinced that I would not be having more of an impact by staying and doing safety research. I very much feel like I'm still shouting into the wind as it were. It's not obvious that leaving was the right decision. Who knows? Maybe I'll go back. It's not completely out of the question." ---- Full video on "Stanford HAI" YouTube channel, (link in comment)
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Ex-Anthropic researcher Jacob Coxon's (that famous guy of quit) new interview at Stanford. says internal lab projections put AI on the edge of recursive self-improvement within a year. "I saw exact projections for the capabilities of models in the next 6 months to 1 year that made me think, we're on the cusp of recursive self-improvement. And at that point, we could reach super intelligence before the decade is out. And we don't obviously know how to control super intelligence. In fact, some might argue we have no clue how to control super intelligence." ---- Full video on "Stanford HAI" YouTube channel, (link in comment)
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