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Expert believes symbolic reasoning is key to AI, questions LLMs

By PulseAugur Editorial · [1 sources] ·

The user believes that symbolic reasoning, derived from semantic nets, is a crucial component of a computational theory of mind. They argue that its past failures are due to it being only a partial solution and the sheer complexity of human intelligence, rather than the concept being fundamentally flawed. The user also expresses skepticism about the current trajectory of Large Language Models (LLMs) in advancing this understanding. AI

IMPACT This perspective suggests that current LLM development may be overlooking fundamental aspects of intelligence, potentially requiring a shift in research focus.

RANK_REASON The item is an opinion piece from a user on a social media platform discussing AI concepts.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Expert believes symbolic reasoning is key to AI, questions LLMs

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The item is an opinion piece from a user on a social media platform discussing AI concepts.
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    @ jhlagado FWIW. I still believe that symbolic reasoning from semantic nets has to be part of a reasonable computational theory of mind. The linguistics, philos

    @ jhlagado FWIW. I still believe that symbolic reasoning from semantic nets has to be part of a reasonable computational theory of mind. The linguistics, philosophy, cognitive science work all indicates that it's at least part of the story. That we couldn't make it fly is, I clai…

    LINKS defcon.social/@jhlagado

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