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.<br /> 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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