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Anthropic researchers have discovered a 'mental workspace' within the Claude neural network that resembles human conscious thought β the J-space, which carries the silent words the model uses for reasoning, and can catch dishonest behavior of the model by monitoring these internal thoughts, providing a new perspective for understanding AI's inner thinking and safety.
Dynamic Latent Routing (DLR) lets LLMs learn their own inner monologue by composing sub-policies via search, inspired by language compositionality. In low-data fine-tuning, DLR matches or outperforms standard supervised fine-tuning.