Latent Reasoning ('Neuralese') Would Sharply Raise Misalignment Risk, Greenblatt Argues
HaydnBelfield · x · 2026-09-25
Ryan Greenblatt and colleagues argue that latent reasoning architectures ('neuralese') would substantially increase misalignment risk by making oversight much harder:
- In the extreme, massive 'neuralese hivemind swarms' could think and communicate in latents, leaving oversight almost entirely reliant on observed actions;
- Such agents would have ample time to reason about obfuscating their behavior;
- Even individual agents doing extensive latent reasoning are concerning — beyond some threshold they may perform difficult-to-detect actions (post truncated).
The argument was endorsed and amplified by ancadianadragan and Haydn Belfield.
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