IF EVEN 0.001 PERCENT OF AN AI'S TRAINING DATA IS MISINFORMATION, THE WHOLE THING BECOMES COMPROMISED, SCIENTISTS FIND

Summary from the TLDR AI newsletter

NYU researchers discovered that poisoning just 0.001% of an LLM's training data with misinformation can lead to widespread errors, posing serious risks in medical applications. The study, published in Nature Medicine, found that even corrupted LLMs perform similarly to non-corrupted ones on standard benchmarks, making such vulnerabilities hard to detect.