The 'poison AI' movement wants to corrupt ChatGPT and Gemini to make them useless — but it comes with a huge risk of collateral damage
THE SO WHAT
Organized attempts to poison training data turn the open web into a contested surface—labs aren't the only ones at risk, any model trained on public data inherits that fragility. Enterprises relying on external data sources should be investing in provenance, filtering, and synthetic or first-party corpora rather than assuming "more internet" equals better models.
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