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Wait a minute! Researchers say AI's "chains of thought" are not signs of human-like reasoning
Wait a minute! Researchers say AI's "chains of thought" are not signs of human-like reasoning

A research team from Arizona State University warns against interpreting intermediate steps in language models as human thought processes. The authors see this as a dangerous misconception with far-reaching consequences for research and application.
The article Wait a minute! Researchers say AI&#039;s "chains of thought" are not signs of human-like reasoning appeared first on THE DECODER.

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venturebeat
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' d

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venturebeat
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venturebeat
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<p><a href="https://www.meta.com/">Meta</a>’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not o [...]

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venturebeat
AI21’s Jamba Reasoning 3B Redefines What “Small” Means in LLMs — 25

<p>The latest addition to the small model wave for enterprises comes from <a href="https://www.ai21.com/"><u>AI21 Labs</u></a>, which is betting that bringing m [...]

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How Phi-4-Reasoning Redefines AI Reasoning by Challenging “Bigger is Better” Myth
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Alexa+ preview: An almost philosophical exercise
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<p><strong><em>“Alexa, I need to write a review about you.”</em></strong></p> <p><em>“Oh, a review? I’m intrigued! What’s the occasion? I’d [...]

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