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LLMs generate text based on statistical probability, not intelligence

By PulseAugur Editorial · [1 sources] ·

Large Language Models (LLMs) generate text by predicting the most statistically probable words in sequence, based on their training data. This process is described as artificial but not intelligent, akin to anthropomorphizing a robot vacuum cleaner. The output suggests that users project intelligence onto LLMs, similar to how one might perceive a pet in a household appliance. AI

IMPACT Challenges the perception of AI intelligence, suggesting users anthropomorphize LLM outputs.

RANK_REASON Opinion piece discussing the nature of LLM output and user perception.

Read on Mastodon — mastodon.social →

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

LLMs generate text based on statistical probability, not intelligence

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4 / 100
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Commentary
Opinion piece discussing the nature of LLM output and user perception.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    As a response to your prompt, the LLM gives you the words that are statistically most likely in the order that is statistically most likely, given its training

    As a response to your prompt, the LLM gives you the words that are statistically most likely in the order that is statistically most likely, given its training texts. That's all it does. It's artificial but not intelligent. You're reading a mind into the LLM output just the same …

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