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Ed Zitron critiques LLM vs. human output comparisons

By PulseAugur Editorial · [1 sources] ·

Ed Zitron argues that comparing the outputs of Large Language Models (LLMs) to human beings is flawed unless the same level of investment, grace, and affordance is given to humans. He suggests that such comparisons are fundamentally unreasonable without acknowledging the vast differences in development and context between AI and human cognition. AI

IMPACT Critiques the common practice of comparing AI outputs to human capabilities, suggesting a need for more nuanced evaluation.

RANK_REASON Opinion piece by a named credible voice.

Read on Mastodon — mastodon.social →

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

Ed Zitron critiques LLM vs. human output comparisons

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Ed Zitron - "And it’s a fundamentally ridiculous argument to compare LLM outputs to human beings without giving human beings the same affordance, grace and shee

    Ed Zitron - "And it’s a fundamentally ridiculous argument to compare LLM outputs to human beings without giving human beings the same affordance, grace and sheer investment as a comparison." - https://www. wheresyoured.at/the-ai-haters- manifesto/ # ai # llm # economy # fraud

    LINKS wheresyoured.at/the-ai-haters-manifesto

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