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The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote
The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote

Richard S. Sutton's "Bitter Lesson" lays out a hard truth at the heart of modern AI: Not the clever injection of human knowledge, but scalable learning and search algorithms are what deliver lasting breakthroughs. Now, a new paper from Sutton and David Silver builds on this thesis—sketching out a far-reaching vision for AI agents that advance solely through action and feedback.
The article The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote appeared first on THE DECODER.

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