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After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

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Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#31

Earlier quoted context omitted.

So how will the LLM answer your questions in the future if SO is greatly diminished? I guess LLMs can learn directly from documentation websites. But there is no human feedback on correct solutions or better ways to do things that SO provides.

It'll get better and will be able to answer more questions based on sourcecode and documentation?

Well, yes, and somewhat cynically also through eg. OpenAIs effort to pay programmers in low wage locations to create high quality train data related to programming in general (thus paying them to automate themselves out of a job)

Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#32

Well, I have all the sympathy for the SO people who are stressed out over losing their jobs... but at least a LLM doesn't chew me out when I ask a question that's remotely similar to one asked 7 years ago. And I like the low-latency, interactive rubber ducking experience way better than the slower turnaround on a SO question.

So how will the LLM answer your questions in the future if SO is greatly diminished? I guess LLMs can learn directly from documentation websites. But there is no human feedback on correct solutions or better ways to do things that SO provides.

[deleted]

Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#33

Earlier quoted context omitted.

So how will the LLM answer your questions in the future if SO is greatly diminished? I guess LLMs can learn directly from documentation websites. But there is no human feedback on correct solutions or better ways to do things that SO provides.

It'll get better and will be able to answer more questions based on sourcecode and documentation?

I've seen support forum sites that have integrated LLMs to automatically generate answers. I doubt that feeding that back into LLMs will improve quality in the long run.

Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#34

Seems poorly correlated. It seems unlikely that any significant number of developers quit using SO in favor of blindly trusting ChatGPT. More likely - advertising revenue declined in line with the reduced ad spending across the industry, largely due to expectations of economic recession by ad buyers.

> It seems unlikely that any significant number of developers quit using SO in favor of blindly trusting ChatGPT.

Man, maybe it's just me, but I have switched almost exclusively from Google searches and Stack Overflow to just asking ChatGPT. I've been doing dev for 20+ years and GPT4 is like switching from regular tools to power tools. Granted, it's only useful for things that have been done before and are well documented, but most professional software development is exactly that.

Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#35

Earlier quoted context omitted.

Not the employees, the community

Exactly; I have nothing but sympathy for the affected people but SO-the-community was on the way out anyway. I'm almost 40, I understand, and can tolerate to some extent, someone sometimes going into Linus Torvalds mode. But it totally does not jive with the 20-somethings that just start their career, and need guidance the most.

> But it totally does not jive with the 20-somethings that just start their career, and need guidance the most.

Hostility towards new users is an issue across most communities, see Reddit and Discord.

Perhaps it has less to do with Linus Torvaldisms, and instead a generational gap between. Afterall SO has been around for 15 years, and it replaced the god awful Experts Exchange.

Re: After ChatGPT disruption, Stack Overflow lays off 28 percent of staff

#36

Earlier quoted context omitted.

LLM do no answer, but kind of autocomplete

Debatable, but true, still, my point holds, it'll be able to autocomplete bettereven without direct hints / dataset from SO, esp taking into account GitHub & github issues

Without the question text and the words explaining the answer ?

I think those words provide a lot of context for the LLM to get to that specific response

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