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It’s remarkably easy to inject new medical misinformation into LLMs (arstechnica.com)

submitted 1 week ago by gedaliyah to c/technology

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It's pretty easy to see the problem here: The Internet is brimming with misinformation, and most large language models are trained on a massive body of text obtained from the Internet.

Ideally, having substantially higher volumes of accurate information might overwhelm the lies. But is that really the case? A new study by researchers at New York University examines how much medical information can be included in a large language model (LLM) training set before it spits out inaccurate answers. While the study doesn't identify a lower bound, it does show that by the time misinformation accounts for 0.001 percent of the training data, the resulting LLM is compromised.

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[–] [email protected] 2 points 1 week ago

validate against what? The "inner monologue" is the llm itself. It won't be any better than itself.