Paper argues chatbots lack true thinking ability, not just current LLMs

A new paper proposes that current chatbots, even advanced ones, cannot be genuine thinking partners for humans. The authors argue that LLMs, trained on datasets that only partially mimic human understanding, encode artificial metaphorical problem propagations rather than true cognitive processes. They conclude that further LLM development will not bridge this gap, aligning with skepticism from figures like Yann LeCun regarding AI's current learning and understanding capabilities. AI

IMPACT Suggests current LLM architectures may fundamentally limit their ability to achieve human-level reasoning and problem-solving.

RANK_REASON The cluster contains an academic paper discussing the theoretical limitations of LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

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• Large Language Model
• Yann LeCun

• paper
• opinion

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