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Three Perspectives on Corrigibility - Shards, Simulators, Singular Learning

The article explores three approaches to agent corrigibility: shards, simulators, and singular learning. The author discusses the possibility of implementing a corrigible agent considering recent theories about large language model learning.

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PublishedOctober 16, 2026jwfiredragon
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WHY IT MAY MATTER

Understanding different approaches to corrigibility can aid in developing safer and more controllable AI systems.

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