Yoshua Bengio lays out roots of agent misalignment, calls to rethink imitation learning and RL
dhadfieldmenell · x · 2026-09-12
Yoshua Bengio published a long-form summary of his thinking on recent agent misalignment incidents, arguing that while outcomes are uncertain, we know where these issues originate and can plan accordingly. He calls for revisiting the foundations of AI training—human imitation and reinforcement learning. The post drew endorsements from Melanie Mitchell and Dylan Hadfield-Menell.
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