Try implementing something that is too hard for you. Usually that'll involve implementing math in a high performance language or with parallelization. Then try going back to "writing by hand".

Nothing that is possible is "too hard" if you're willing to put in some effort. The only question is whether you will learn to do it, or press a button, hope the LLM did it well, and let it forever remain "too hard."

Honestly, without judgment, I think this is just a fundamental difference in how people approach their craft. You either want to be capable yourself or you just want the results.

> Try implementing something that is too hard for you.

This is almost the only thing I'm against when it comes to LLMs. You have no ability to figure out if it is right, and you will be overly impressed by garbage because you aren't qualified to judge. Has anybody come up with a pithy way to describe Dunning-Kruger for evaluating the output of LLMs, or are people too busy still denying that Dunning and Kruger noticed anything?

When it comes to implementing math, the main problem is that the tiniest difference can make the entire thing wrong, often to the degree of inverting it. I wouldn't be in any way comfortable in shipping something I didn't even understand. The LLM certainly didn't understand it; somebody should.