As a computer vision researcher who has worked with these T2I generators, this is more spot on. I think a lot of people are making a lot of assumptions without having actually worked with these networks. There's also a highly fundamental problem that is not only unsolved, but we don't even have great directions to solve: alignment. Alignment is even a difficult task when you're communicating to another person. Everyone has had an experience of working with someone and they are asking you to do something (or vise versa) and there is a gross misinterpretation. That's alignment. Now try properly aligning with an "entity" that thinks nothing like you, has a vastly different set of experiences, doesn't know how to count, and has no real concept of physical mechanisms (and more).
The technology will definitely help us see a lot more unique art and a lot more amateur artists (a good thing). But it would be naive to think that artists are going away anytime soon. I'd even argue that there will be new jobs from this (prompt engineer comes to mind). It is really difficult to speculate how this technology (even as it progresses rapidly) will change the future. But considering that no one is creating machines that think like humans we will always have alignment issues. This isn't a fact that can be ignored.
It is also worth noting that if you haven't worked with these systems, that what you are seeing is extremely biased. People aren't showing their failures. But there are some twitter accounts that do: WeirdStableAI and weirddalle are probably the most famous. Of course, you can also follow Gary Marcus who is going to retweet every example of failure that he can get his hands on.
Other side note: some of these conversations remind me about how people used to talk about 3D printers
The technology will definitely help us see a lot more unique art and a lot more amateur artists (a good thing). But it would be naive to think that artists are going away anytime soon. I'd even argue that there will be new jobs from this (prompt engineer comes to mind). It is really difficult to speculate how this technology (even as it progresses rapidly) will change the future. But considering that no one is creating machines that think like humans we will always have alignment issues. This isn't a fact that can be ignored.
It is also worth noting that if you haven't worked with these systems, that what you are seeing is extremely biased. People aren't showing their failures. But there are some twitter accounts that do: WeirdStableAI and weirddalle are probably the most famous. Of course, you can also follow Gary Marcus who is going to retweet every example of failure that he can get his hands on.
Other side note: some of these conversations remind me about how people used to talk about 3D printers