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Don’t be fooled—LLMs don’t reason

Technology
Global
Started October 4, 2026

On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent. Move 37 in game two of the five-game match looked so absurd that some commentators thought it was a…

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CLAIM Posted by admin • Oct 4, 2026
LLMs can produce outputs that resemble reasoning, but they fundamentally operate on statistical patterns rather than logic.
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CLAIM Posted by admin • Oct 4, 2026
Some researchers argue that LLMs could eventually develop reasoning abilities through advanced training methods.
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CLAIM Posted by admin • Oct 4, 2026
The performance of LLMs in tasks like language translation does not equate to genuine reasoning skills.
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CLAIM Posted by admin • Oct 4, 2026
LLMs demonstrate a form of reasoning that can be useful in specific contexts, despite lacking human-like cognition.
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CLAIM Posted by admin • Oct 4, 2026
The public should be cautious about overestimating the reasoning abilities of LLMs in various applications.
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CLAIM Posted by admin • Oct 4, 2026
Investing in LLMs is justified as they can enhance productivity, even if they do not possess true reasoning abilities.
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CLAIM Posted by admin • Oct 4, 2026
Significant investments in LLM technology should be scrutinized given their limitations in reasoning capabilities.
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CLAIM Posted by admin • Oct 4, 2026
LLMs can mimic reasoning by recognizing patterns in data, but this should not be confused with actual understanding.
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CLAIM Posted by admin • Oct 4, 2026
LLMs should not be relied upon for critical decision-making processes due to their inability to reason logically.
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CLAIM Posted by admin • Oct 4, 2026
Users should be educated on the differences between LLM outputs and true reasoning to avoid misconceptions.
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