AIs that break down questions reason better
Read OriginalThis article examines the importance of reasoning in conversational AIs, specifically the technique of breaking down complex tasks into simpler subproblems, known as 'chains of thought.' It discusses examples like logical riddles and tic-tac-toe to illustrate the limitations of pure analogy and the power of structured reasoning. The piece highlights models like DeepSeek R1, explaining how reinforcement learning trains AIs to generate and verify these reasoning steps, leading to more reliable and capable performance.
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