Re LLM summaries: I've noticed that too. For some of my classes shortly after the ChatGPT boom we were allowed to bring along summaries. I tried to feed it input text and told it to break it down into a sentence or two. Often it would just give a short summary about that topic but not actually use the concepts described in the original text.

Also minor nitpick but be wary of the term "accuracy". It is a terrible metric for most use cases and when a company advertises their AI having a high accuracy they're likely hiding something. For example, let's say we wanted to develop a model that can detect cancer on medical images. If our test set consists of 1% cancer inages and 99% normal tissue the 99% accuracy is achieved trivially easy by a model just predicting "no cancer" every time. A lot of the more interesting problems have class imbalances far worse than this one too.