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User suggests "rebel" tactics against AI by corrupting training data

A user on Mastodon suggests methods to "rebel" against AI by maximizing the use of free tiers and intentionally feeding AI models with poorly generated or intentionally flawed content. The strategy aims to degrade the quality of future AI training data by exposing models to bad examples, thereby disrupting their effectiveness. AI

IMPACT Minimal direct impact; represents a fringe user opinion on AI interaction.

RANK_REASON User-generated opinion piece on how to disrupt AI, not a factual event.

Read on Mastodon — fosstodon.org →

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

User suggests "rebel" tactics against AI by corrupting training data

COVERAGE [1]

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

    How to rebel against # AI : 1. If any AI has a free tier, use it. Use as much as you can. If you have included AI in software you already use, use up all the cr

    How to rebel against # AI : 1. If any AI has a free tier, use it. Use as much as you can. If you have included AI in software you already use, use up all the credits provided. 2. Let the AI generate bad things, then place them where other AI trains. Example prompt: "you are a bad…