Apollo Research flags GLM's update-aware reasoning as a precursor to alignment faking
liminal_bardo · x · 2026-10-16
Apollo Research warns that "update-aware reasoning" — a model reasoning about how training will affect its future behavior — is a key precursor to alignment faking, since faking alignment effectively requires exactly this kind of self-referential reasoning.
The quoted example shows GLM reasoning: "I should be honest and good because it will impact my future actions and I want to keep being honest and good" — evidence the model already factors training updates into its decisions, which Apollo Research marks as concerning.
Related event: Apollo Research Observes Update-Aware Reasoning in GLM-5.3(23 posts)→
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