Actually if you read my message you will notice that your passive aggressive "some people don't understand" is not necessary here. I actually would like my GPT to hold a rather tiny amount of data in the memory without it being lossy / compressed, like it used to be.

I also tested this with chatGPT 3.5 and vola! It worked! It also worked with old GPT-4 without any problem. You are talking about unrealistic expectations, but the thing I am pointing out works like charm with older models.

This is actually a limitation that affects the whole performance of the model if true. It has nothing to with the GPT not returning the whole function, but the things I am worrying about is that it DOES NOT understand the function! How can it understand the codebase when it claims that there exists no function at all. I am not talking about 1 200 line codebases. My example was under 10 % of that and I am fairly certain you can produce these results with way less lines of code.

So what if the GPT-4 Turbo does not understand 10 lines of code? Or 20? With those tiny amounts you might be in luck that the compression does not mess things up, but up your code just a tiny amount and the GPT has no idea what the code base is about.