AI 洞察2026年4月24日
When "Smart" Means Wrong: The Hidden Architecture of LLM Reasoning Failures
LLMs fail in systematic, hard-to-predict ways that correlate with training distribution rather than objective difficulty. Chain-of-thought doesn't give models real reasoning—it gives them tokens to generate plausible confabulations.
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