LLMs are also stuck in the past. Always ask an LLM what the date is before starting a session that has any expectation of current results. Usually you’ll find the information it prioritizes is from a few years ago.
LLMs also often incorrectly weight information.
If you have a popular website that has outdated information with a note at the top that the information is outdated, the LLM will see it’s a well respected site, ignore the disclaimer at the top that falls out of it’s context window, and happily tell you the annotatedly incorrect information is the baseline truth.
It’s possible to get good results out of an LLM, but it’s a skill, just like engineering a good Google search string or using Wikipedia to find the primary source information you need.
fonix232@fedia.io 5 days ago
The LLMs in question aren't providing data from their training set, but are transforming live data retrieved from the internet. So their date is quite irrelevant, what matters is their ability of contextual data filtering and transformation.