4 ms·
The two sides are never going to understand each other because I suspect we work on entirely different things and have radically different workflows. I suspect
by zifpanachr23 2y ago
The two sides are never going to understand each other because I suspect we work on entirely different things and have radically different workflows. I suspect that hackernews gets more use out of LLMs in general than the average programmer because they are far more likely to be at a web startup and more likely to actually be bottlenecked on how fast you can physically put more code in the file and ship sooner.
If you work on stuff that is at all niche (as in, stack overflow was probably not going to have the answer you needed even before LLMs became popular), then it's not surprising when LLMs can't help because they've not been trained.
For people that were already going fast and needed or wanted to put out more code more quickly, I'm sure LLMs will speed them up even more.
For those of us working on niche stuff, we weren't going fast in the first place or being judged on how quickly we ship in all likelihood. So LLMs (even if they were trained on our stuff) aren't going to be able to speed us up because the bottleneck has never been about not being able to write enough code fast enough. There are architectural and environmental and testing related bottlenecks that LLMs don't get rid of.
- barrucadu 2y agoThat's a good point, I've personally not got much use out of LLMs (I use them to generate fantasy names for my D&D campaign, but find they fall down for anything complex) - but I've also never got much use out of StackOverflow either. I don't think I'm working on anything particularly niche, but nor is it cookie-cutter generic either, and that could be enough to drastically reduce their utility.