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Models may be weaker than humans because they have less diversity of thought and perform poorly on certain long-horizon judgments.
John Schulman · AI researchers debate how close we are to recursive self-improvement · 11 Sept 2026
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“So I think like being less sample efficient in certain regimes might be one of the sources of weakness, but then I think there are other sources of weaknesses that are completely different than that. For example, having lower diversity of thought than humans or being bad at certain kinds of long horizon judgments.”Play from 49:34Report a misattribution
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