I don’t think so. All AI needs now is formal specs of some technical subject, not even human readable docs, let alone translations to other languages. In some ways, this is really beautiful.
Comment on Stack Overflow in freefall: 78 percent drop in number of questions
rumba@lemmy.zip 1 day agoWorks well for now. Wait until there’s something new that it hasn’t been trained on. It needs that Stack Exchange data to train on.
cherrari@feddit.org 1 day ago
SoftestSapphic@lemmy.world 1 day ago
LolnAI can’t do a single thing without humans who have already done it hundreds of thousands of times feeding it their data
okmko@lemmy.world 1 day ago
I used to push back but now I just ignore it when people think that these models have cognition because companies have pushed so hard to call it AI.
123@programming.dev 1 day ago
Technical specs don’t capture the bugs, edge cases and workarounds needed for technical subjects like software.
cherrari@feddit.org 14 hours ago
I can only speak for myself obviously, and my context here is some very recent and very extensive experience of applying AI to some new software developed internally in the org where I participate. So far, AI eliminated any need for any kind of assistance with understanding and it was definitely not trained on these particular software, obviously. Hard to imagine why I’d ever go to SO to ask questions about this software, even if I could. And if it works so well on such a tiny edge case, I can’t imagine it will do a bad job on something used at scale.
123@programming.dev 9 hours ago
If we go by personal experience, we recently had the time of several people wasted troubleshooting an issue for a very well known commercial Java app server. The AI overview hallucinated a fake system property for addressing an issue we had.
The person that proposed the change neglected to mention they got it from AI until someone noticed the setting did not appear anywhere in the official system properties documented by the vendor. Now their personal reputation is that they should not be trusted and they seem lazy on top of it because they could not use their eyes to read a one page document.
rumba@lemmy.zip 1 day ago
It can’t handle things it’s not trained on very well, or at least not anything substantially different from what it was trained on.
It can usually apply rules it’s trained on to a small corpus of data in its training data. Give me a list of female YA authors. But when you ask it for something more general (how many R’s there are in certain words) it often fails.
webadict@lemmy.world 1 day ago
Actually, the Rs issue is funny because it WAS trained on that exact information which is why it says strawberry has two Rs, so it’s actually more proof that it only knows what it has been given data on. The thing is, when people misspelled strawberry as “strawbery”, then naturally, people respond, " Strawberry has two Rs." The problem is that LLM learning has no concept of context because it isn’t learning anything. The reinforcement mechanism is what the majority of its data tells it. It regurgitates that strawberry has two Rs because it has been reinforced by its dataset.
rumba@lemmy.zip 1 day ago
Interesting story, but I’ve seen the same work with how many ass in assassian
you can probe the stuff it’s bad at, and a lot of it doesn’t line up well with the story that it’s how people were corrected.
skisnow@lemmy.ca 1 day ago
The whole point of StackExchange is that it contained everything that isn’t in the docs.
nutsack@lemmy.dbzer0.com 1 day ago
Yes, I think this will create a problem. new things won’t be created very often because there will be a barrier of training corporate controlled AI to learn them