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LLMs lack human delight in random associations, author argues

By PulseAugur Editorial · [1 sources] ·

The author argues that Large Language Models (LLMs) cannot truly think like humans because they lack the capacity for delight in random associations between disparate ideas, people, and events. This disordered, associative thinking is presented as a uniquely human trait that should be encouraged in education. AI

IMPACT Argues that LLMs fundamentally differ from human cognition due to their inability to appreciate random associations.

RANK_REASON Opinion piece by a named individual on a platform.

Read on Mastodon — mastodon.social →

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

LLMs lack human delight in random associations, author argues

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · theopenmind ·

    On Substack today, I pointed out that one way we know LLMs aren't really capable of thinking like us Humans is that they can simply never delight in the kinds o

    On Substack today, I pointed out that one way we know LLMs aren't really capable of thinking like us Humans is that they can simply never delight in the kinds of # random associations we make between disconnected ideas & people & events. Human brains are hilariously disordered th…

    LINKS substack.com/…/c-365853725 substack.com/@chrismccoll

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