This will not remain limited to AIs. Learning requires imitation. Our artistic system is already pretty heavily copyrighted, but it could still be a lot more so, and I don't think this would be good for our culture.

> Imagine face recognition to work like a text chat, where the PC gets the frame from the camera and writes in the chat: "Who's that? Here's the RGB888 image in hex: ...".

that's p much how it works.

(Don't worry- I use the system browser for any site I don't fully trust.)

I mean, to be fair, a one-user project is not ever going to be as bugfree as a tens-of-thousands-of-users project. That's just inherent and not an AI issue. If you judge AI projects by that standard, they'll always come up short. It's a sampling issue. An AI project that's gotten to a level where it competes with a traditional project will always be buggier and less feature complete and polished, because AIs speed up development. It will simply have seen far less, well, polish to get there.

You definitely need to have a strong sense of code design though. The AIs are not up to writing clean code at project scale on their own, yet.

edit: example: GLM 5.1, a 751B model, is offered for 0.6$/m in, 4.43$/m out. Scuttlebutt (ie. I asked Google's AI) seems to think that Opus 4 is a 1T/5T MoE model, so you can treat it (with some effort) as a 1T model for pricing purposes. Its API pricing is $1.55 in, $25 out, ie. 2x to 5x more than GLM. Idk what to say other than this sounds about right, probably with healthy margin.