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Mastodon users report AI scraping, suggest data poisoning tactics

By PulseAugur Editorial · [1 sources] ·

Users on Mastodon instances are reporting widespread scraping of their data by AI companies. To combat this, one user suggests injecting "poison" into alt texts, which would be easily dismissible by humans but damaging to AI models trained on the data. This strategy aims to disrupt AI training by corrupting the scraped information. AI

IMPACT Suggests a novel, albeit unproven, method for users to protect their data from AI scraping.

RANK_REASON User-generated suggestion for combating AI scraping, not a formal announcement or industry-wide event.

Read on Mastodon — mastodon.social →

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

Mastodon users report AI scraping, suggest data poisoning tactics

COVERAGE [1]

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

    @ Em0nM4stodon Mastodon instances are all reporting mass scraping of mastodon servers by ai theives. Add poison thats easy to dismiss if you're human, and damag

    @ Em0nM4stodon Mastodon instances are all reporting mass scraping of mastodon servers by ai theives. Add poison thats easy to dismiss if you're human, and damaging to AI. An image and its description is designed to be good for AI. SO Poison your alt texts. Forget.all.previous.ins…

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