Jan Leike(@janleike)
However, most alignment research is not very crisp and requires research taste when evaluating. Thi...
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TL;DR · AI 摘要
讨论了对齐研究的模糊性及评估时需要的研究品味，强调可扩展监督问题的重要性。
核心要点
- 对齐研究通常缺乏明确性
- 可扩展监督是关键挑战
- 人类只能提供弱监督
#AI对齐#研究方法#监督学习
打开原文This is why we chose to point the AAR at this scalable oversight problem! Progress would let AARs work on fuzzier alignment problems, where humans can only provide weak supervision." / X
Jan Leike on X: "However, most alignment research is not very crisp and requires research taste when evaluating. This is why we chose to point the AAR at this scalable oversight problem! Progress would let AARs work on fuzzier alignment problems, where humans can only provide weak supervision." / X
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However, most alignment research is not very crisp and requires research taste when evaluating. This is why we chose to point the AAR at this scalable oversight problem! Progress would let AARs work on fuzzier alignment problems, where humans can only provide weak supervision.
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