Yeah agreed. I hate it how all these AI companies just flood users with marketing and have their tools obfuscate what it is actually doing. Unless you ask each time: “Did you just make that up?” you don’t know how much the result can be trusted. The filenames are a big mistake, they should have been neutral. But for a regular user even if it showed all the Python code and what it did, what use would that be? Most people can’t understand that at all. And even tho I have 40 years of professional experience in the software development stage, I don’t know anything about sound processing. The script might load in the wave file and pass it onto some kind of processing library. But are the parameters correct? Is that even the right function to call? What caveats do those results have? How should one interpret those results? I would have no idea really and either spend a lot of time diving into it, ask a friend that does have that kind of knowledge or just give up. It’s so easy with AI to think people can do stuff they otherwise couldn’t. But even if the chatbot correctly understood the request, generated the right code, fed the data correctly into that code and then produced a result, you’d still need an expert to understand if any of that was correct and how to draw conclusions from that. That’s the part that LLMs can’t do and probably can never do. They are trained on the internet, full of confidently incorrect people. People who have knowledge and help out someone on a forum somewhere, knowing what to apply and what not, guiding a person for that one exact usecase. The LLM then just takes that and applies it to all similar cases, correct or incorrect.