I wrote a similar prompt but for a discord bot that would take a youtube url and some timestamps and return a gif.

Afterwards I asked it to add an option to "deep fry" the gif. Not only did it produce the correct code it also understood what I meant when referring to deep fried gifs. I was definitely impressed.

I threw a leetcode easy description into ChatGPT and submitted the solution without any editing. It passed all the test cases and got in the 95th percentile for efficiency of C++ submissions.

I haven't tried anything more advanced, but to go from simple requirements to solution without any clarification or even method signatures (It guessed the correct method signature down to the name and input params) was pretty dang impressive to me.

Chances are, you gave it a problem that was actually in its training set.

It's still impressive to me even if it was in its training set. The data used for training is not stored verbatim in the OpenAI model. It would still need to parse the context anew and solve the problem given its understanding of the boundaries of what I've written.

On contrast, I did it for projecteuler and told it needs to be extremely efficient or math. Didnt give me an appropriate result.

I have tried given a simple test suite and asking for an implementation that fulfills it, then asking to modify its impl and the test suite with a new requirement and it did it