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Large language models reduce public knowledge sharing on online Q&A platforms

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Re: Large language models reduce public knowledge sharing on online Q&A platforms

#31
post #8

Stackoverflow mods and power users being arseholes reduces the use of Stackoverflow. ChatGPT is just the first viable alternative.

ChatGPT plagiarizes the anwers of those whom you call "arseholes". How is using Stackoverflow in read-only mode different from using ChatGPT?

Except of course that reading Stackoverflow directly has better retention rates, better explanations and more in-depth discussions.

(My view is that moderators can be annoying but the issue is overblown.)

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#32

Earlier quoted context omitted.

The answer by humans is a) publicly accessible b) hallucination-free (although it still may not be correct) c) subject to a voting process which gives a good signal of how much we should trust it. Which makes me think, maybe a good move for Stack Overflow (which does not allow the submission of LLM-generated answers, wisely imo) would be to add an AI agent that would suggest an answer for each question, that people c…

I don't think human mistakes are distinguishable from hallucinations.

Let's train a discriminator and see!

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#33

Earlier quoted context omitted.

To a degree, yes. I only open source work where I expect reciprocal value from other contributions.

I think that is antithetical to the idea of Open Source. If you expect contributions then pay a bounty, don't pretend.

GPL is antithetical to open source? Odd take

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#34

Earlier quoted context omitted.

To a degree, yes. I only open source work where I expect reciprocal value from other contributions.

I think that is antithetical to the idea of Open Source. If you expect contributions then pay a bounty, don't pretend.

The bounty is you getting to use my work (shared in good faith no less). Appreciate the charity and don't be a freeloader or you'll get less in the future.

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#35

If a site aims to commoditize shared expertise, royalties should be paid. Why would anyone willingly reduce their earning power, let alone hand away the right for someone else to profit from selling their knowledge, unattributed no less. Best bet is to book publish, and require a license from anyone that wants to train on it.

Because it’s a marginal effect on your earning power and it’s a nice thing to do.

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#36

Of course people reduce their free contributions to Stackoverflow. Stackoverflow is selling then out with the OpenAI API agreement and countless "AI" hype blog posts.

I think this is more about a drop in questions, than a drop in answers.

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#37

Earlier quoted context omitted.

The answer by humans is a) publicly accessible b) hallucination-free (although it still may not be correct) c) subject to a voting process which gives a good signal of how much we should trust it. Which makes me think, maybe a good move for Stack Overflow (which does not allow the submission of LLM-generated answers, wisely imo) would be to add an AI agent that would suggest an answer for each question, that people c…

As a user, why would I care whether an answer is "incorrect" or "hallucinated"? Neither one is going to solve the problem I have at hand. It sounds like a distinction without a difference.

One relevant difference is that a better-quality human answer is correlated with certain "tells": correct formatting and grammar, longer answers, higher reputation. An incorrect LLM answer looks (from the outside) exactly the same as a correct answer.

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#39
Wondering about wider implications. If technical interactions reduce online, how about RL and how do we rate a human competence against an AI once society gets a habit from asking an AI first? Will we start to constantly question human advice or responses and what does that do to the human condition.

I am active in a few specialized fields and already I have to defined my advice against poorly crafted prompt responses.

Re: Large language models reduce public knowledge sharing on online Q&A platforms

#40
Guess we need an Agent that logs and re-contributes to Stackoverflow (for example) automatically.

Then also have agents that automatically give upvotes for used solutions. Weird world.

I’m just imagining the precogs talking to each other in Minority Report if that makes sense.

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