I agree with you worry about reducing every artistic input from a human to a natural language prompt. I think others share this worry and will make generative AI to address it. Some image generation software already allows artistic input (sketching something for the software to detail). I don’t think it exists yet, but I know it’s a goal, and I’m looking forward to music generation AI that takes humming or singing as inputs. These will be further refined to editing portions of the resulting art, rather than producing a whole new work with each prompt.
Generative AI can also be used at the detailed level, to aid existing experts. Using AI to generate tones for music, sketches for visual art, etc. may preserve our interest in details. The ability to do this seems likely to preserve artists who at least intuit tone and color theory.
The loop of learning and engaging by perturbing may be enhanced, by doing that perturbation at a broad scale, at least initially. Changing a prompt and getting a whole new piece of art is quite engaging. I see no reason why interest in the details might not be driven by an ability to work with the whole, perhaps better than interest in producing the whole is driven by working to produce the components. Learning to sketch before producing any satisfying visual art is quite frustrating, as is learning to play an instrument. The idea that we won’t get real experts who learn about the details just because they started at the level of the whole seems possible- as you put it, not an unreasonable worry. But my best guess would be that we get the opposite, which is a world in which many more people at least intuit the detailed mechanics of art because they’ve tried to make art themselves.
Somewhat off of your point: I expect this question to be less relevant than the broader question “what will humans do once AGI can do everything better?”. The idea that we might have many years, let alone generations with access to generative AI but not AGI strikes me as quite odd. While it’s possible that the last 1% of cognitive ability (agency, reflection, and planning) will remain the domain of humans, it seems much more likely that those predictions are driven by wishful thinking (technically, motivated reasoning).
I agree with you worry about reducing every artistic input from a human to a natural language prompt. I think others share this worry and will make generative AI to address it. Some image generation software already allows artistic input (sketching something for the software to detail). I don’t think it exists yet, but I know it’s a goal, and I’m looking forward to music generation AI that takes humming or singing as inputs. These will be further refined to editing portions of the resulting art, rather than producing a whole new work with each prompt.
Generative AI can also be used at the detailed level, to aid existing experts. Using AI to generate tones for music, sketches for visual art, etc. may preserve our interest in details. The ability to do this seems likely to preserve artists who at least intuit tone and color theory.
The loop of learning and engaging by perturbing may be enhanced, by doing that perturbation at a broad scale, at least initially. Changing a prompt and getting a whole new piece of art is quite engaging. I see no reason why interest in the details might not be driven by an ability to work with the whole, perhaps better than interest in producing the whole is driven by working to produce the components. Learning to sketch before producing any satisfying visual art is quite frustrating, as is learning to play an instrument. The idea that we won’t get real experts who learn about the details just because they started at the level of the whole seems possible- as you put it, not an unreasonable worry. But my best guess would be that we get the opposite, which is a world in which many more people at least intuit the detailed mechanics of art because they’ve tried to make art themselves.
Somewhat off of your point: I expect this question to be less relevant than the broader question “what will humans do once AGI can do everything better?”. The idea that we might have many years, let alone generations with access to generative AI but not AGI strikes me as quite odd. While it’s possible that the last 1% of cognitive ability (agency, reflection, and planning) will remain the domain of humans, it seems much more likely that those predictions are driven by wishful thinking (technically, motivated reasoning).