Original post · AI translation
“我喜欢钱，兄弟。我同意。这是血腥钱。”
在斯坦福的一场新访谈中，轰动一时地从 Anthropic 辞职的研究员 Jacob Coxon 现身。
当 Rob Reich 追问保留 OpenAI 股权是否损害他的可信度时，Coxon 坦率承认自己仍持有这些股权，喜欢这笔钱，也同意这是“血腥钱”。他认为，把股权捐出去也不会改变任何事
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完整视频见“YouTube 频道 Stanford HAI”（链接在评论中）
Original
"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)
完整视频见“YouTube 频道 Stanford HAI”
https://t.co/9rGsT5vJzd
Original
Full video on "Stanford HAI" YouTube channel https://t.co/9rGsT5vJzd
Jacob Coxon 可能重返一家 AI 实验室。
这就是那位公开辞职后在网上引发广泛关注的 Anthropic 研究员。他在斯坦福的一场新访谈中说，自己不确定辞职是否正确，甚至可能回去。
“我想，目前犹豫的真正原因是，我不确定离开是不是做出了正确的决定。我还没有被说服相信，留下来做安全研究不会让我产生更大的影响。
我很大程度上仍觉得自己像是在对着风喊话。离开是否是正确决定，并不显而易见。谁知道呢？
也许我会回去。这并非完全不可能。”
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完整视频见“YouTube 频道 Stanford HAI”（链接在评论中）
Original
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)
前 Anthropic 研究员 Jacob Coxon（那位因辞职而出名的人）在斯坦福接受的新访谈。
他说，实验室内部的预测显示，AI 将在 1 年内处于递归式自我改进的边缘。
“我看到了关于未来 6 个月到 1 年模型能力的具体预测，这让我觉得，我们正处在递归式自我改进的门槛上。到了那时，我们可能在这个十年结束前实现超级智能。
而我们显然不知道如何控制超级智能。事实上，有些人可能会说，我们对如何控制超级智能毫无头绪。”
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完整视频见“YouTube 频道 Stanford HAI”（链接在评论中）
Original
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)