Counterpoint: they want number go up.
Pro Tip: it doesn't even matter if number go up, when they know how to suck up to even higher-ups.
Comment on Developer survey shows trust in AI coding tools is falling as usage rises
irotsoma@lemmy.blahaj.zone 3 days ago
Usage is rising because corporate executives started getting kickbacks and thinking they could cut staff by implementing it. But developers who have actually had to use it have realized it can be useful in a few scenarios, but requires a ton of review of anything it writes because it rarely understands context and often makes mistakes that are really hard to debug because they are subtle. So anyone trying to use it for a language or system they don’t understand well is going to have a hard time.
Counterpoint: they want number go up.
Pro Tip: it doesn't even matter if number go up, when they know how to suck up to even higher-ups.
Executives are getting kickbacks? I’ve gotta do some research here.
That’s not true. If you give it context, it understands and retains context quite well. The thing is that you can’t just say “write code for me” and expect it to work.
Also, certain models are better than certain tasks than others.
This is a true statement.
spankmonkey@lemmy.world 3 days ago
It never understands context.
oxysis@lemmy.blahaj.zone 3 days ago
And it cannot understand context because it does not think, it’s just an expensive prediction tool
saltesc@lemmy.world 3 days ago
It’s just Markov chains running on a heap of poorly governed sources. Expensive because Markov chains are brutish to process.
But processors get faster and faster to calculate and conclude a chain rapidly. I could see why people think it’s intelligence since it is chains running through sources of human intelligence, but it’s not. It’s simple math from the late-1800s and we’ve been using it for predicting many things for a long time. Funnily enough, language was what Markov started with.