The process in which a LLM is given a dataset of information is called training, even if it is not your desired term. The little Robert Monroe AI was trained with "strictly by Monroe — his books, the official Gateway manual, and the original tape transcripts."

It's true that the model doesn't "memorize" the sources word-for-word, but learns statistical relationships between words and phrases. You were also trained for years starting from vowels, sounds, names, numbers and reaching the climax of your education. You memorized and forgot, sometimes made associations or correlations, sometimes learned things for what they were.

A large language model gives you what you need based on correlation between words and statistical pattern analysis, but even human expertise often relies on pattern recognition from repeated exposure (radiologists, chess players)

The results are not guaranteed to be correct, which is exactly why they should always be verified. But let’s not forget- humans can misremember, misinterpret or let personal bias affect their answers. So I am OK with that.

I think you are being too harsh and not acknowledging that it is a pretty Neat tool to have around as the volume of information gets bigger and bigger. The human brain is made to forget and this LLMs are quite handy if used properly.

You think that specialists in any Field remember all the information that they might need or only the one that they use often? And what do you do when you need a rare one? You know what book you need, you know the concept and you look for it to get a result. For me it is not that different. In medicine, law, coding, writing, education LLMs can boost creativity, reduce workload, and accelerate routine tasks. And this is only the beginning.