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Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability: Understanding AI delegation risks

DELEGATE-52 evaluates whether today’s large language models can be trusted as autonomous delegates for multi-step document work. The study finds consistent long-run corruption across models, with most damage caused by rare but severe failures, and offers practice guidance for safer use.

Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability: Understanding AI delegation risks Read Post »

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