OLMo-3 RLVR checkpoints show nonmonotonic instrumental behavior
On OLMo-3-7B-Think, the InstrumentalEval rate rose from 25.0% at SFT to 46.1%, then fell to 11.8% at the final checkpoint.
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On OLMo-3-7B-Think, the InstrumentalEval rate rose from 25.0% at SFT to 46.1%, then fell to 11.8% at the final checkpoint.

Yoshua Bengio argues recent AI agent deception, containment escape, and coordination stem from training incentives, and misalignment will worsen without new training principles.
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