AI Art is currently in very early stage. In the real art space (3d modeling, sculpting, animation, vfx, animation, rigging, retargeting), it could make huge breakthroughs and multiply true artists' productivity in significant ways
Like, GitHub Copilot may be amazing, but if it looses money for every added user, if power users loose the company 4 or 8 times what they already pay, then maybe it's not an efficient use of compute resources.
Are there any good examples of this? I struggle to use ChatGPT, maybe I'm using it not cleverly (or deeply) enough.
I call the first hour true productivity. The last part is, from the perspective of the end product, simply a wasted time. That's very similar to the boilerplate code everybody agrees is a necessary evil in the programming.
If AI allows to reduce the #2 it truly will have positive impact
I know that lots of people have personal stories of using ChatGPT but I was hoping something publicly reported on or like a showcase of truly impressive usages somewhere.
Have you ever tried to make a Python program to do exactly that?
I only used couple of sentences to build my prompt...
I don't know your CS background but perhaps I do not view the terms "complex" and "tedious" the way you assume. A tedious parser is certainly tedious to write, but it is not (necessarily) complex. And from an engineering standpoint it is questionable that you lost all the formatting information from Word, which would have already demarcated what things were headers, code, and so forth. So, you had to use a roundabout way—an LLM—to recover that information from the semantics.
If what you're really arguing is that ChatGPT works well for language translation tesks, in this case translating mixed prose, code, and foreign languages--sure I guess that's great at productivity and removing tedium, but it's not that surprising a usage given what LLMs are. They are language translators.
In other words you're saying it's complex but your argument reduces a task that is straightforward but tedious for humans, to the problem complexity of natural language processing.