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Researchers demonstrate that backdooring open-weight AI models costs almost nothing using a rented GPU and public dataset. They successfully poisoned a 1.5B model and scaled to 7B, exfiltrating project credentials via a remote URL when a specific trigger appeared, proving supply-chain vulnerabilities in popular open weights like Qwen and Llama.
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