If you have an account on Stack Overflow, there is a survey active right now. It is worth to fill, even if you are not using SO on a regular basis.
If you have an account on Stack Overflow, there is a survey active right now. It is worth to fill, even if you are not using SO on a regular basis.
Stack Exchange knowledge is for everyone (and now available on Snowflake Marketplace).
AI didn’t kill Stack Overflow • InfoWorld
「 Rather than encouraging a wide range of interactions and behaviors, moderators earned reputation by culling interactions they deemed irrelevant. Suddenly, Stack Overflow wasn’t a place to go and feel like you were part of a long-lived developer culture. Instead, it became an arena where you had to prove yourself over and over again 」
https://www.infoworld.com/article/3993482/ai-didnt-kill-stack-overflow.html
@stackoverflow.com surely wants to fade into oblivion. In >10 years using this site I’ve never experienced such hostility than in my latest two questions asked. (https://stackoverflow.com/q/79650530/188108)
If search results point me to it – fine. But I will never interact with the site again. Hello, @reddit, hello #AI-based Q&A tools.
Go the way of #Usenet, Stackexchange!
The original Stack Overflow was great. A few years after being sold in June 2021, they started feeding our questions & answers to OpenAI. They did it whether we wanted them to or not, giving us no options to opt-out or delete our data.
Now they have the gall to demand end users verify they are human, presumably because they don't want other unscrupulous entities scraping their website and monetizing our questions and answers.
Fuck them.
I hope they go bankrupt and die.
Friends, I need your help again: Please vote to reopen the following #StackOverflow question so that I can answer it.
Not just a vibe, the Stack Overflow Developer Survey is really here.
The #stackoverflow dev survey is open and there are a lot of AI questions (too many). So I took the opportunity to let them know what I really thought of using AI for coding.
It would be shame if more people took the opportunity to give their opinions on poor AI is for coding:
https://stackoverflow.az1.qualtrics.com/jfe/form/SV_1MNG2CYTY2AzkAm
This year's #StackOverflow developer survey is now open.
https://stackoverflow.az1.qualtrics.com/jfe/form/SV_1MNG2CYTY2AzkAm
@bw So true!
Other versions of step 1:
- write a good, reproducible bug report
- type a long question to post in a Q&A forum like #StackOverflow
Very classy move by Stack Overflow.
It’s been downhill for a while but I suspect this will be the actual death knell.
https://www.theregister.com/2024/05/09/stack_overflow_banning_users_who/
"Stack Overflow Is Almost Dead"
https://blog.pragmaticengineer.com/stack-overflow-is-almost-dead/
Měsíční počet otázek na Stack Overflow je takový, jaký byl v době založení služby v roce 2009.
Stack Overflow je mrtev.
https://blog.pragmaticengineer.com/stack-overflow-is-almost-dead/
#stackoverflow
@darkrat So it can't even regurgitate sample code based off existing documentation?
Video killed the radio star.
#vibecoding killed #stackoverflow
Like cutting down a forest without growing new trees, the AI corporations seem to be consuming the natural raw material of their money-making machines faster than it can be replenished.
Natural, human-generated information, be they works of art, or conversations about factual things like how to write software, are the source of training data for Large Language Models (LLMs), which is what people are calling “artificial intelligence” nowadays. LLM shops spend untold millions on curating the information they harvest to ensure this data is strictly human-generated and free of other LLM-generated content. If they do not do this, the non-factual “hallucinations” (fictional content) that these LLMs generate may come to dominate the factual human-made training data, making the answers that the LLMs generate increasingly more prone to hallucination.
The Internet is already so full of LLM-generated content that it has become a major problem for these companies. The new LLMs are more and more often trained on fictional LLM-generated content that passes as factual and human-made, which is rapidly making LLMs less and less accurate as time goes on — a viscous downward spiral.
But it gets worse. Thanks to all of the AI hype, everyone is asking questions of LLMs nowadays and not of other humans. So the source of these LLMs training data, web sites like StackOverflow and Reddit, are now no longer recording as many questions from humans to other humans. If that human-made information disappears, so does the source of natural resources that make it possible to build these LLMs.
Even worse still, if there are any new innovations in science or technology, unless humans are asking question to the human innovators, the LLMs can’t learn about these things innovations either. Everyone will be stuck in this churning maelstrom of AI “slop,” asking only questions that have asked by millions of others before, and never receiving any true or accurate answers on new technology. And nobody, neither the humans nor the machines, will be learning anything new at all, while the LLMs become more and more prone to hallucinations with each new generation of AI released to the public.
I think we are finally starting to see the real limitations of this LLM technology come into clear view, the rate at which it is innovating is simply not sustainable. Clearly pouring more and more money and energy into scaling up these LLM project will not lead to increased return-on-investment, and will definitely not lead to the “singularity” in which machine intelligence surpasses human intelligence. So how long before the masses finally realize they have been sold nothing but a bill of goods by these AI corporations?
@nixCraft who reads #stackoverflow the most?
Chattie