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=== - In a real brain: neurons strengthen connections when learning something new. === * In LLMs: weights are frozen during inference — robots cannot change their library shortcuts. * “Learning” is simulated by external memory: the orchestrator keeps notes, and the robots read those notes in the next round. So your “self-improving AI” is like giving the robots a notebook with their previous work, without actually changing the library structure.
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