For light research and rapid prototyping it’s just another tool that augments a human and I think the fundamental underlying technology will not be able to fully resolve those issues until new architectures come out.
For light research and rapid prototyping it’s just another tool that augments a human and I think the fundamental underlying technology will not be able to fully resolve those issues until new architectures come out.
1. The toy examples are toys
2. Bad code
3. Hallucinations
Yes!
My point is people are so caught up in that narrative (because it's true and immediately apparent) that they're not seeing what has really been automated away.
Not all programmers are the same. Some don't do shit. There's the 80/20 rule. But the good programmer know that they leverage their extensive experience in conjunction with search to integrate solutions.
GPT hasn't made the work any less tedious or easier as a whole. In fact, you can do more of it if you're really productive.
People on an assembly line are still working their asses off. That's more of what I'm saying. What should I be saying?