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> Why would would Agents need multiple turns Because it's better. This was the insight behind AlphaGo, AlphaCode and AlphaGeometry. In Go, trying to get the en
by hackerlight 3y ago
> Why would would Agents need multiple turns
Because it's better. This was the insight behind AlphaGo, AlphaCode and AlphaGeometry. In Go, trying to get the entire solution in one forward pass required a 1000x larger neural net to achieve the same performance according to Noam Brown.
Intelligence requires iteration, introspection, planning, sub-task breakdown, and trial and error with feedback from reality (error messages, print statements). These meta reasoning structures (whether hard-coded or, ideally, learned) will move LLMs closer to how humans reason.