Post #3831133

even just using it to translate their thoughts into a bullet list isn’t going to work most of the time. LLMs training is, the majority of the time, out of date and stacks change/move faster than an agents data. Plus LLMs favour things that have been posted about on blogs, linkedin posts, etc rather than stuff that is proven and tested. Like for example it might suggest using a language or library that is insanely out of date or just won’t work but recommends it based purely on say blog posts that have talked a lot about it or it’s potential to do something that it currently can’t do. or like I said it’ll suggest something that’s out of date simply because there’s more documentation online about that specific version than the most up to date version. Or the LLM will report on something that has a “known issue” from like early 2025 and suggests not using it when said issue has been patched routinely since then because the data the LLM has is out of date. the data is constantly out of date.