Does it tell you to Google the problem and then downvote you?
this post was submitted on 27 Jul 2023
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Programming
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Hence recursion since Google just takes you back, which leads to stack overflow because there is no exit condition.
This bullshit happens too often lmao
"Googles problem, finds post"
"Why are you asking this use Google"
Gee, thanks
Which would be especially messed up if your original question was about recursion.
"to keep the quality of answers high, we may arbitrarily close questions, regardless of how many upvotes it gets and how helpful it is" - stackoverflow
That sounds so StackOverflow
I feel like a better solution is to have a community answer as generative AI to every new question and have folks upvote or downvote it like normal.
I don't think this is it. I wouldn't want newbies to wait for the community to tell them that running sudo rm -Rf / or other useless/dangerous command is a bad idea...
That would be pretty easy.
return "Why are you even trying to do it this way?\n$link_to_language_spec\nThis should be closed.;
Meanwhile language spec:
-
Extremely high level description along with some implementation details you don't care about
-
function signature
- extends Object
I love how it was obvious what language I'm talking about without saying anything specific
I understand Google and Microsoft getting into it as it makes sense as a "better" Google search but for StackOverflow that sounds like they have just given up on their current platform.
Good way to kill your own platform, the whole point is to ask questions to real people
I thought the point was a mental BDSM exercise where you come to others for help and are instead punished for your ignorance.
You're totally not wrong
Clearly this guy has never actually asked ChatGPT for a working code sample.
I use ChatGPT frequently for programming and I've found it to be pretty good.
The key is using it conversational nature as this gets better results.
Start simple and expand. You can't just ask it wrote huge chunks of code.
Yeah works well, as long as the code is rather simple and it occurred rather often in the training set. But I seldom use it currently (got a little bit more complex stuff going on). It's good though to find new stuff (as it often introduces a new library I haven't known yet). But actual code... I'm writing myself (tried it often, and the quality just isn't there... and I think it even got worse over the last couple of months as also studies suggest)
The code it gives me generally just throws me into the debug stage, skipping right over the me writing buggy code stage.
Good summary. For some people iterating over existing code is preferred.
For others writing new code (and not maintaining it) feels better.
I've gotten really good results asking chat gpt for programming help. Problem is that it's wrong like 10% of the time, and when it's wrong it's very confidently incorrect. That wasn't a problem for me because I knew when it was wrong and could course correct it and get the correct solution and it still saved me time and helped me eventually get to the right solution. But if someone who's still getting started is trying to use chat gpt to learn, they could easily be mislead because they won't know when its output is wrong.
Agreed, but for my questions it's been wrong around three fifths of the time when taken literally.
Definitely depends on the type of question. I find for documentation type questions I get the 90% good answers, like how do I do something with this library, it's good, which makes sense because that libraries documentation is probably in the training data. But for more open ended questions, like how do I solve this problem, I see similar performance to what you're saying. I think it's a good retrieval and synthesises tool which can really save a ton of time if you already have a high level plan of action and just use it to fill in some specific details.
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Nice choice of logo colors, btw.
It really puts their stance on "no AI generated answers" in a different light.
Basically, "no AI generated answers unless we do it".
Well, using ai-generated answers to train their own ai would bring down the quality of answers and worse quality means lesser money. Don’t you want them to make any money??!!
They only had to improve the search and kept it a human platform!
Well that explains why they did a 180 on their "no AI" rule, which has the mods in a tizzy.
Who knows, maybe it'll cut back on the toxicity in the sense that you don't have to interact with toxic people ¯\_(ツ)_/¯
Like toxic mods
Do we have a term for combination of enshittyfication and LLM?
Largely-Enshittification Model?
Maybe add NFTs into the mix too. But don't tell wsb and the GME gang.
Stack Overflow is unique as a page, in the sense that its contributions are under a license that allows for reuse (Creative Commons Share-Alike) as long as the individual users are properly credited. Does this mean that OverflowAI keeps the credit metadata and knows who wrote each individual part of an answer?
Then I'm guilty of breaking the license. I have always been stealing code from Stack Overflow. Well, since I'm a senior dev right now I steal only from answers.
AI doesn't work that way. No one wrote "part of the answer." It's more like each contributor casted a vote on what the next token should be and it randomly picks one of the top ten voted tokens. (Very very roughly.)
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I get the whole community resource and all that hoorah, but what bothers me the most is that C*O somewhere that's padding his bonus and CV, waiting for the ship to sink so he can move on to the next thing where he can sing praises to the AI revolution.
Clearly read the title as Stack Overthrow AI
I look forward to the AI trend fizzling out. It's only slightly less silly than the cryptocurrency trend was.
AI exists because not everyone frequents a low toxicity forum like Lemmy.
This artificial pseudointelligence exists because there's the “gee whiz, that's cool” of a computer talking like a person, and a bunch of hype chasers looking to cash in. Much like cryptocurrency before it, and the dot-com boom before that, there is little substance to it, and most of it will be commercially irrelevant a decade from now.
It reminds me of 3D
Many coding languages, mixed text and code, just plain wrong answers (commented as such). What can go wrong?
They can DDOS themselves to show raise in visits but it won't help long-term.
No users to answer questions? No problem…
Can someone tell me what their angle is? Are user's supposed to curate and help train the model for free? Is it just a model trained on stackoverflow data?
All their data is open so what edge do they over the already established competition.
When you check the traffic of website, it seem a bit late to take such a action.
It seems pretty good, especially vscode extension but people already implement there many generative ai solutions out there
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