Does it tell you to Google the problem and then downvote you?
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
That sounds so StackOverflow
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.
They only had to improve the search and kept it a human platform!
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…
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
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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.
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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.
Agreed. I got ChatGPT to convert python code to JavaScript and I got a buggy code sample back with new bugs.
I’ve found it great for asking documentation questions. It saves me a ton of time having to search through documentation myself. The problem is when it encounters something it doesn’t have information on, it’ll just confidently make shit up, and if you’re not enough of an expert to recognize when that happens, you can be mislead. It still saves me time, but I use it as a recall tool to get me started when I’m learning to do something new, I’d never use the code it puts out without reading through it line by line. I’m also experienced enough to know when it’s wrong and how to refactor its examples. People new to programming could get set down the wrong path by over relying on gpt to teach them.
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
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function signature
- extends Object
I love how it was obvious what language I’m talking about without saying anything specific
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Nice choice of logo colors, btw.
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Future is now old man
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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.
It really puts their stance on “no AI generated answers” in a different light.
Basically, “no AI generated answers unless we do it”.
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
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.
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.
