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Is Human Data Enough? With David Silver

Google DeepMind: The Podcast

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The Future of AI: Self-Learning and Innovation

This chapter explores the evolution of AI beyond replicating human abilities, highlighting innovations like Move 37 and the learning processes of AlphaZero. It discusses the limitations of current language models that rely heavily on human feedback, advocating for self-learning systems that generate their own experiences. The importance of transitioning from human evaluation to real-world testing for truly grounded AI development is emphasized, suggesting a pathway for future advancements in artificial intelligence.

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