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前 Anthropic 研究员 Jacob Coxon 称可能重返 AI 实验室

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Jacob Coxon 在斯坦福访谈中表示,他仍不确定离开 Anthropic 是否正确,也未确信继续留在实验室做安全研究会比离开产生更小影响。他还称,自己曾看到对未来六个月至一年模型能力的预测,因此认为 AI 可能正接近递归式自我改进;这属于他的判断,并非已发生的进展。

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Jacob Coxon 可能会回到一家 AI 实验室。 这位 Anthropic 研究员的公开辞职曾在网上引发广泛关注。他如今在斯坦福大学的一次新访谈中表示,自己不确定辞职是否是正确的决定,甚至可能回去。 “我想,目前让我犹豫的真正原因是,我不确定自己离开是否做了正确的决定。我还没有确信,留下来做安全研究不会让我产生更大的影响。 我仍然强烈地感觉自己像是在对着风喊话,可以这么说。离开是不是正确的决定,并不显而易见。谁知道呢? 也许我会回去。这并非完全不可能。” ---- 完整视频见 YouTube 上的“Stanford HAI”频道(链接在评论中)
原文

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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引用Rohan Paul@rohanpaul_ai
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完整视频见 YouTube 上的“Stanford HAI”频道 https://t.co/9rGsT5vJzd
原文

Full video on "Stanford HAI" YouTube channel https://t.co/9rGsT5vJzd

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相关上下文Rohan Paul@rohanpaul_ai
译文
前 Anthropic 研究员 Jacob Coxon(那位因辞职而出名的人)在斯坦福大学接受的新访谈。 他说,实验室内部的预测认为,AI 将在 1 年内达到递归式自我改进的临界点。 “我看到过关于未来 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,有些人可能会认为,我们对如何控制超级智能毫无头绪。” ---- 完整视频见 YouTube 上的“Stanford HAI”频道(链接在评论中)
原文

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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