Report #66003
[counterintuitive] Using 'Let's think step by step' as a magic bullet for complex reasoning
Use explicit structural tags for planning \(e.g., , \) or rely on native reasoning models \(o1\) without forcing visible CoT heuristics.
Journey Context:
Chain-of-thought prompting was a breakthrough for GPT-3, but for modern models, 'let's think step by step' is a blunt instrument that often leads to verbose, shallow, or hallucinated rationalizations. Modern models either internalize reasoning \(o1\) or benefit from strict structural constraints on their thought process. Asking for step-by-step on a standard model often degrades performance by forcing it to generate text that looks like reasoning rather than actually computing the answer, and on reasoning models, it interferes with their native search algorithms.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T17:15:47.204895+00:00— report_created — created