The 'poison AI' movement wants to corrupt ChatGPT and Gemini to make them useless — but it comes with a…
AI has acquired an unusual new enemy. A growing AI data poisoning online movement wants to attack the models themselves. The goal is simple enough on paper — feed future AI systems bad information, misleading data, or deliberately corrupted material until they become less useful.
If future versions of ChatGPT, Gemini and other AI models learn from enough misleading, corrupted or intentionally manipulated material, perhaps those systems will become less reliable. Chatbots already confidently repeat nonsense far too often; now imagine it exponentially worse as text and image generators misunderstand every prompt, and the models become too frustrating to trust.
It's not just theory. Data poisoning is an actual area of AI security research. While the argument that making AI systems less reliable will discourage companies from scraping creative work or building ever larger models might entice some, it also risks undermining far more than just the latest trending AI ...
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