Didn't someone back in the day write a library that let you import an arbitrary Python function from Github by name only? It obviously was meant as a joke, but with AIcolytes everywhere you can't really tell anymore...

Flask also started as an April 1st joke, in response to bottle.py but ever so slightly more sane. It gathered so much positive response, that mitsuhiko basically had to make it into a real thing, and later regretted the API choices (like global variables proxying per-request objects).

It's like automatically copy-pasting code from StackOverflow, taken to the next level.

Are there any stable output large language models? Like stablediffusion does for image diffusion models.

Sounds like a fun way to learn effective debugging.

It imports the bugs as well. No human involvement needed. Automagically.

I mean, we're at the very early stages of code generation.

Like self-driving cars and human drivers, there will be a point in the future when LLM-generated code is less buggy than human-generated code.