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AI learns best when it talks to itself

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Researchers have shown that AI can learn better when it is allowed to talk to itself. This internal mumbling, combined with short-term memory, helps the system adapt quickly to new tasks.

This approach allows AI to change goals and handle difficult challenges more easily. It provides the ability to handle complexity without losing focus.

The main advantage is that learning efficiency increases while requiring less training data. This means AI can achieve greater results with fewer resources.

These results could pave the way for AI systems that are more adaptable and more human-like. The future of the technology looks exciting and holds the promise of changing the way we use AI.
 
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