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User questions tokenomics and output coherence of LLMs

By PulseAugur Editorial · [1 sources] ·

The user is expressing confusion and frustration regarding the concept of "tokens" in relation to large language models. They question how models use these tokens to generate output, especially after being trained on vast amounts of literature. The user implies that the models should be capable of producing more coherent phrases given their training data, and uses a pun to express their disbelief. AI

RANK_REASON User expresses opinion and confusion about LLM tokenomics and output quality, using informal language and puns.

Read on Mastodon — mastodon.social →

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

User questions tokenomics and output coherence of LLMs

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Meme
User expresses opinion and confusion about LLM tokenomics and output quality, using informal language and puns.
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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, other
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COVERAGE [1]

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

    So you pay "tokens" to the owners/operators of these models. These models use them "tokens" to produce more "tokens". Or how does this work? They stole literall

    So you pay "tokens" to the owners/operators of these models. These models use them "tokens" to produce more "tokens". Or how does this work? They stole literally ALL of humanity's literature ever and can't come up with coherent phrases? I am still not quite token (pun intended) w…

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