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In-code comments only help LLMs when they smuggle in correct downstream solution content that the model could not otherwise elicit, debunking the idea that self-commentary acts as general chain-of-thought scaffolding.
Achieving 100x parameter efficiency, LoopWM redefines how we approach long-horizon world modeling by introducing iterative latent depth as a new scaling axis.
