Comment by Wowfunhappy
3 days ago
Also, if you are a human who does taste, it's very difficult to get an AI to create exactly what you want. You can nudge it, and little by little get closer to what you're imagining, but you're never really in control.
This matters less for text (including code) because you can always directly edit what the AI outputs. I think it's a lot harder for video.
> Also, if you are a human who does taste, it's very difficult to get an AI to create exactly what you want.
I wonder if it would be possible to fine train an AI model on my own code. I've probably got about 100k lines of code on github. If I fed all that code into a model, it would probably get much better at programming like me. Including matching my commenting style and all of my little obsessions.
Talking about a "taste gap" sounds good. But LLMs seem like they'd be spectacularly good at learning to mimic someone's "taste" in a fine train.
Maybe, but you do have to do the work to train it first. And at least so far, LLMs always seem to be inarguably worse than the “original”.
> LLMs always seem to be inarguably worse than the “original”.
True. But quantity has a quality of its own.
I'm personally delighted at the idea of outsourcing all the boring cookie cutter programming work to an AI. Things like writing CSS, plumbing between my database, backend server and web UI. Writing and maintaining tests. All the stuff that I've done 100 times before and I just hate doing by hand over and over again.
There's lots of areas where it doesn't really matter that the code it produces isn't beautifully terse and performant. Sometimes you just need to get something working. AIs can do weeks of work in an afternoon. The quality isn't as good. But for some tasks, that's an excellent trade.