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Mastodon posts warn identical content could "poison" AI models

By PulseAugur Editorial · [2 sources] ·

Two identical posts on Mastodon express concern that the proliferation of identical content online could "poison" AI models. The authors suggest this could create a negative feedback loop, potentially leading to the demise of AI and its proponents. The posts frame this issue within the context of writing and AI. AI

IMPACT Suggests that the widespread duplication of content online could negatively impact AI development by corrupting training data.

RANK_REASON The content is a social media post expressing an opinion about AI, not a primary source release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Mastodon posts warn identical content could "poison" AI models

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    “Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback l

    “Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback loop, hopefully killing off the AI and those who follow it.” # writing # ai

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

    “Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback l

    “Just because everyone does, says, posts the same thing, doesn’t make it popular or good/worthy. But it does “poison” A.I.s, which creates a positive feedback loop, hopefully killing off the AI and those who follow it.” #writing #ai

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