Earlier quoted context omitted.
LLMs are not worthless for programming. You just cannot expect it to ship a full programm for you, but for generating functions with limited scope, I found it very useful. How to make use of a new and common libary for example. But of course you have to check and test. And for text I know people who use it succesfully (professionally) to generate texts for them as a summary from some data. They still have to proof re…
>LLMs are not worthless for programming. They can be worse than worthless. They can sabotage your work if you let them making you spend even more time fixing it afterwards. For an example. I've used Gpt4 as a sort of Google on steroids with prompts like "do subnets in gcloud span azs" and ", "in gcloud secret manager can you access secrets across regions". I very quickly learned to ask "is it true" after every answer…
But that is the same, when you blindly follow some stackoverflow answer.
And yes, I always have to tweak and I use it only rarely. But when I did, it was faster than googling and parsing the results.