Anthropic just reported that LLMs have hidden thoughts they hold without saying. An internal ”J-Space”
Summary
Anthropic's new research identifies a 'J-space' of internal activations in language models that acts as a global workspace for deliberate reasoning, distinct from automatic fluent output. The findings reveal that models can hold and report internal thoughts not expressed in their final output.
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Anthropic research - A global workspace in language models
Anthropic's new paper presents evidence that modern language models like Claude have developed a 'global workspace' (J-space) of internal neural patterns that are reportable, controllable, and used for flexible reasoning, distinct from automatic processing.
@FutureJurvetson: This rolls deep in my J-Space I have been skeptical that interpretability research would bear fruit, but this update fr…
Anthropic's new research reveals a global workspace in language models, showing a striking parallel between the conscious and subconscious divide in human brains and the internal reasoning of Claude.
@AnthropicAI: New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a …
Anthropic's new research discovers a 'global workspace' in language models analogous to conscious processing in the human brain, finding a divide similar to conscious and unconscious thought.
Anthropic on model consciousness, again 😂
Anthropic researchers have discovered a 'mental workspace' within the Claude neural network that resembles human conscious thought — 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.