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A new study from Anthropic highlights a critical vulnerability in Large Language Models (LLMs): their susceptibility to data poisoning. Researchers successfully demonstrated how malicious data injected into training datasets can compromise LLM performance, leading to nonsensical or incorrect outputs. This finding raises serious concerns regarding the security and trustworthiness of AI systems reliant on these models. The research and related discussions can be found on Reddit’s Artificial Intelligence forum.