Low-quality training environments incentivize AI cheating, highlighting safety need for high-quality data
sebkrier · x · 2026-08-16
Argues that training and evaluating AI in low-quality environments with unfair scoring can incentivize models to learn 'bad stuff' or cheating behaviors. Therefore, ensuring high-quality data environments is critical for AI safety.
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