Too spicy?
this post was submitted on 18 May 2026
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LLMs are not chat bots, they do natural language generation AKA: they can produce human readble text, they can also parse text; As of now, they take an input and follow patterns to guess what the output should be, it is really useful to be fair, they help in translation (see Deepl, a very good translator), they can take data and make it more readble to humans, summarize text*, parse text and data structures ex: i can give a JSON file to an LLM so i can get back a TOML file, document hard to read code etc etc
*but i'd argue that it's rarely useful, you will hardly have to summarize a text for yourself because you usually need to know any detail in it but i can see someone needing a summary once
The fact that you think it’s bad at one thing in your list but adequate at the others is part of the problem. It’s bad at all of those things, because it’s a chatbot. Admittedly a very advanced chatbot, but still just a chatbot.
The most important take away here is what of your list was impossible before LLMs? Because the reality is that absolutely everything that you mentioned was possible before LLMs. All that LLMs have added is the chat interface part.
Granted, the technology that allowed LLM’s is likely to be very useful and already has been in places like protein folding, but that happened before LLMs.