Educating people about such a technical topic seems very difficult especially since people get emotional of their work being used.
I know because I'm literally working on setting up Dreambooth to do what I'd otherwise have to pay an artist to do.
And not only is it replacing artists, it's using their own work to do so. None of these could exist without being trained on the original artwork.
Surely you can imagine why they're largely not happy?
In this case, technologists figured out how to exploit people's work without compensating them. A camera is possible without the artists it replaces. Generative modeling is not. It's fundamentally different.
If people figured out how to generate this kind of art without exploiting uncompensated unwilling artists' free labor, it would be a different story.
We're surrounded by people who don't understand what's happening. They seem to think some kind of art intelligence has been invented.
No, it's the aggregation and interpolation of vast amounts of existing art.
The same thing is happening with software, through Microsoft's Copilot:
https://bugfix-66.com/7a82559a13b39c7fa404320c14f47ce0c304fa...
I think people just don't understand what they're seeing. They have no idea what it is.
They think it's really "intelligence", dreaming and imagining and simulating and feeling and experimenting and...
It's none of these things. It's a sophisticated interpolation, not so different from linear interpolation:
a*x + (1-a)*yI think both humans and AI without training are stupid. Take a human alone, raised alone, without culture. He/she will be closer to animals than humans. It's the culture that is the locus of intelligence and we're borrowing intelligence from it just like the AIs.
These algorithms are specifically non-linear a far cry from ‘linear interpolation’ unless you want to water down the meaning of interpolation to be so generic it loses its meaning.
Having said all that - the sophistication of the algorithm is beyond the point here as long as what they are generating is substantially transformative (which >99% of the possible outputs are legally speaking).
They even gave a linear equation in their example… again not even close. If we can call what these algorithms do interpolation - we can call what humans do interpolation too - it makes the word that meaningless