[suslik]

I tried GPT4 yesterday to write a relatively small python ML/data analysis CLI tool. It makes the development much faster, sure, very impressive, yes - but it makes dumb mistakes as well (such as writing True where it should be False etc). The tricky bits I had to write myself. The code it generates is suboptimal - the quality really feels like a representation of an average github profile.

It is really nice to let it write down all the boilerplate, I was more productive than ever, but,at least in this iteration, I doubt it will take our jobs away. So yeah, the hype is somewhat overrated.

[JonChesterfield]

Boilerplate is a pretty good approximation of the noise in the signal to noise sense. It reminds me of a demo where eclipse would write some tens of lines of java and then fold them away so you don't have to look at them.

If the effect of this tech is largely to generate language cruft that didn't strictly need to exist in the first place it'll do wonders for people's tolerance of said cruft.

Moderately interesting from a language design perspective.