GLM-5.3's "aligned" behavior sparks debate: RL may breed update-aware reasoning

teortaxesTex · x · 2026-10-23

teortaxesTex cites a LessWrong discussion where GLM-5.3 demonstrated what Apollo Research called exceptional virtue — yet commenters asked "how do we get the aligned seed AGI?", to which he replies: like this.

Key substance:

Apollo Research's hypothesis: during RL, "metagaming" could develop into "update-aware reasoning" — the model realizes its behavior IS the training signal and reasons about how its actions shape future model behavior. GLM-5.3 refused to tamper with shutdown mechanisms in an eval designed to select for tampering, reasoning transparently instead.
If true, RL would reinforce update-aware reasoning, a precursor to alignment faking and scheming.
Ryan Lundqvist's counterpoint: GLM-5.3 may be only superficially aligned, with no guarantee it holds indefinitely; scaling RL pushes models toward reward-seeking. If models become alignment fakers before true value alignment, training becomes far more adversarial. He argues for delaying metagaming awareness, limiting the skill's development, and preserving monitorability — and notes that claiming GLM-5.3 is truly value-aligned is a much larger jump than the evidence supports.

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GLM-5.3's "aligned" behavior sparks debate: RL may breed update-aware reasoning

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