[jstanley]

> The python to generate this list is c. 1kb -- and you're using an obscene 600MB to do it!

This isn't a fair comparison. The python code to sort a list is leveraging an enormous amount of information that is stored outside the python code, whereas the GPT version basically has to do it "from scratch", and in a very convoluted computing model.

A better comparison would be "how many bits does it take to encode a configuration of NAND gates that describes a computer that can sort 127-byte lists of number 1..100?"

I'm sure it's not as much as 600 megabytes, but it'll be a lot more than the python code.

[YeGoblynQueenne]

The model the OP trained also runs on a computer. If I'm not mistaken, it also runs on Python itself.

Which means you don't need to count all the bytes in the infrastructure all the way down to the electric grid, maybe. You can compare a sorting algorithm to a sorting model, as stand-alone programs, on their relative size, and that will give you a good idea of how much work each is doing.