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LLMs compared to infinite monkeys with trillions in compute

By PulseAugur Editorial · [1 sources] ·

The concept of large language models (LLMs) is likened to the infinite monkey theorem, suggesting that with a sufficient scale of computation, approaching trillions, these models can generate coherent text. However, the analogy implies that despite their scale, the underlying nature of these models remains akin to "monkeys" producing output. AI

RANK_REASON The item is a social media post making a metaphorical comparison about LLMs, not reporting on a specific event or development.

Read on Mastodon — mastodon.social →

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

LLMs compared to infinite monkeys with trillions in compute

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COVERAGE [1]

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

    LLMs. Proving that an "infinite number of monkeys with an infinite number of typewriters" actually works, where "infinite" approaches some value of $trillion. B

    LLMs. Proving that an "infinite number of monkeys with an infinite number of typewriters" actually works, where "infinite" approaches some value of $trillion. But they are still monkeys. # ai

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