In about two years we've gone from "AI just generates rubbish where the text should be" to "AI spells things pretty wrong." This is largely down to generating a whole image with a textual element. Using a model like SDXL with a LORA like FOOOCUS to do inpainting and input image with a very rough approximation of the right text (added via MS Paint) you can get a pretty much perfect result. Give it another couple of years and the text generation will be spot on.
So yes, right now we need a human to either use the AI well, or to fix it afterwards. That's how technology always goes - something is invented, it's not perfect, humans need to fix the outputs, but eventually the human input diminishes to nothing.
This is not how AI has ever gone. Every approach so far has either been a total dead end, or the underlying concept got pivoted into a simplified, not-AI tech.
This new approach of machine learning content generation will either keep developing, or it will join everything else in the history of AI by hitting a point of diminishing to zero returns.
I agree we probably won't magically scale current techniques to AGI, but I also think the local maxima for creative output is going to be high enough that it changes how we approach it the way computers changed how we approach knowledge work.
That's why I focus on it at least.
You're talking about the progress of technology. I'm talking about how humans use technology in it's early states. They're not mutually exclusive.
AI (at least this form of AI) is not going to take our jobs away and let us all idle and poor, just like the milling machine or the plough didn't take people's jobs away and make everyone poor. it will enable us to do even greater things.
This is highly dependent on which model is being used and what hardware it's running on. In particular, some older article claimed that the energy used to generate an image was equivalent to charging a mobile phone, but the actual energy required for a single image generation (SDXL, 25 steps) is about 35 seconds of running a 80W GPU.
ares623•35m ago