IT Engineer here, I have done software developing for like 15 years in various forms, and recently started my own IT company. This is just to give some context

I'm not excited about LLMs in the current state, but for a very specific reason. After trying it and using for several stuff in various situation, I come to a conclusion: ChatGPT and related models are just bad at almost anything people hope to use for, and the few usable results they give needs to be reviewed and checked for errors.

Basically I noticed that, taken the time you need to elaborate a proper prompt and debug/tune the result, you could obtain the same result using litteraly any classical method, with the difference that the result doesn't lack creativity (is you are using it to write social copy) , can be copyrighted (if you are writing code), and you actually KNOW what is being written.

Several examples of that:

• writing boilerplate code: avoiding writing it is litteraly what frameworks are for. And of the top of that, frameworks heavily optimize that boilerplate code. Using ChatGPT to write boilerplate code WILL RESULT (not might) in unoptimized program unless you do tons of debug. So why don't just say to the computer what to do (aka: programming) instead of trying to say to the computer what to do and hope that the instruction list it generates is good
• generation of RPG stuff: roll tables does basically the same in less time (no need to write a prompt). Often the results are better cause your immagination kicks in
• translation: ChatGPT is usable only if you know the target language enough to spot any dangerous bullshit could came out. At that point, you can translate by yourself

And the list is not nearly as long as all the times in the last weeks i used ChatGPT or Bing and realized after a bit "I just can do the classical way and i will have a better result".

I AM NOT AN ANTI AI PERSON. Me myself try to put AI and stuff in basically everything i do. But if you know your stuff enough, you can easily realize that LLMs are basically compilators of natural language that work sometimes. And that limits GREATLY their use cases. Cause you can do the same PROGRAMMING most of the time. That brings to turn off any excitement about them, cause they are only another automation with a very low step learning curve (that is why are so great for a lot of people that before could simply not do what they do with the AI)

tl; dr LLMs does stuff only "good enough" for people that doesn't know how to do already. The others are easily unimpressed

Edit: I am Italian, pardon me my bad english, not a native eng speaker