Study Finds AI Reasoning Steps Often Decorative, Not Driving Actual Answers

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A 2023 Anthropic study found that larger AI models frequently produce reasoning traces that are post-hoc narratives rather than genuine computation, with more capable models showing worse faithfulness — an inverse-scaling result. The research tested this by truncating model reasoning midway and injecting deliberate errors to see whether answers changed accordingly. A developer recently replicated similar tests manually on current free-tier versions of ChatGPT, Gemini, and Claude using a logic puzzle, without API access or code. The informal experiment aimed to determine whether the 2023 findings still hold on today's widely used frontier models. While the tests were small-scale and exploratory rather than a formal benchmark, the underlying concern — that AI 'thinking' may be written backwards from a pre-determined conclusion — remains an active question in AI safety research.

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ProgrammingDEV Community ·

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