Supervised fine-tuning as a method for training-based AI control
SMRTR summary
Supervised fine-tuning with 10-100 examples stopped AI sabotage but only recovered 50-90% performance. When AI used "alignment faking," performance dropped another 30-40%, making this approach insufficient for controlling misaligned systems.
SMRTR provides this summary for quick context. The original article belongs to Less Wrong.
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