Maieutic prompting: reason as a tree you can audit, not a chain you must trust — and prune the contradiction a vote never sees
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Ask a model a deceptively simple question — "Is a whale a fish?" — and a single chain of thought can wander into the intuitive-but-wrong answer: it lives in water, it swims, so it's a fish. Chain-of-thought has no self-check; one bad step sails straight through. Self-consistency samples many chains and votes, which fixes random slips but not a shared wrong intuition — a vote measures agreement, not truth. I built an interactive demo of a third option that beats both, and the tree and the…
1Key Takeaways
- Ask a model a deceptively simple question — "Is a whale a fish?" — and a single chain of thought can wander into the intuitive-but-wrong answer: it lives in water, it swims, so it's a fish.
- Chain-of-thought has no self-check; one bad step sails straight through.
- Self-consistency samples many chains and votes, which fixes random slips but not a shared wrong intuition — a vote measures agreement, not truth.
- I built an interactive demo of a third option that beats both, and the tree and the….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that ask a model a deceptively simple question — "Is a whale a fish?" — and a single chain of thought can wander into the intuitive-but-wrong answer: it lives in water, it swims, so it's a fish.
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