原帖引用 · AI 翻译
Rohan Paul@rohanpaul_ai
完整视频见 YouTube 频道“Stanford HAI”
前 Anthropic 研究员 Jacob Coxon（那位因辞职而出名的人）在斯坦福接受了新采访。
他说，实验室内部的预测显示，AI 可能在 1 年内接近递归式自我改进的临界点。
“我看到了关于未来 6 个月至 1 年模型能力的具体预测，这让我觉得，我们正处于递归式自我改进的前夕。到了那个时候，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）
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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