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Researchers at the Okinawa Institute of Science and Technology found that AI systems improve when trained to use internal dialogue. By simulating human-like “inner speech” and incorporating a working memory, these models handle multi-step reasoning and unfamiliar tasks more effectively.
This episode explores how self-interaction enables better generalization with minimal training data—bridging developmental psychology and machine learning, and pointing toward more adaptable real-world AI systems.
