LLMs Think about unrelated details when recommending health-related treatments Researchers discover nonclinical facts in patient messages — like typos, excess white space, and colorful language — lessens the precision of an AI model. Study full story ? Additional news on MIT Information homepage ?The electric power needs of knowledge facilities