The Rise of Data Poisoning: Sabotaging the AI Slop Machines
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Internet users are increasingly using 'data poisoning' and misinformation to sabotage AI training sets in protest of unethical web scraping.
The deliberate injection of corrupted, misleading, or unusable data into AI training pipelines to degrade model quality or make data collection prohibitively costly.
Internet users are increasingly using 'data poisoning' and misinformation to sabotage AI training sets in protest of unethical web scraping.