21–30 of 137 posts
Related: "Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model" [0]. It's astonishingly simple to train both LoRAs and Embeddings nowadays -- if you combine it with tech like ControlNet, you can more or less have direct control over the illustration as well (see this example I converted to Hollie Megert's style with barely any effort [1] using the model from [0]) -- but FWIW I was p…
Where can I learn these techniques?
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
Wish we could apply that logic to software. AI is in a magical universe where we all pretend copyright isn't a thing just because we don't like it.
You view it as a war against human rights. Copywrite.
I view it as a lost war. The war against human meaning.
We're living in a bubble. Where we pretend it all still matters and that AI will always be inferior to everything we do forever and for all eternity.
All bubbles will eventually pop.
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
lol sometimes I wonder if the reason so many tech bros make so many grandiose statements about how AI has already trancended the bounds of human creativity is because they've never really had actual experience with art and literature and music growing up. They say things like this and then you go and look for an example of these incredible works of artificial art and it is the biggest pile of shit you have ever seen.…
One day you're going to encounter something that really moves you.
And then you'll realize it was procedurally generated, by an AI.
We're only about 1 - 2 years into AI. Think about the pace of progress.
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
Wish we could apply that logic to software. AI is in a magical universe where we all pretend copyright isn't a thing just because we don't like it.
Please is there anything like this for writing? I am serious, I do write and want to experiment. Please would you have any suggestions for me? Thanks for your time.
AI is to the point where it can create it's own style. We talk about these styles as if it's some kind of sacred thing. What you don't realize is that we're past this point. There's a latent space of different art within a certain style category, but there's the latent space of different categories itself. AI can already traverse the space between art in a single style category AND it can traverse the gradient space…
Human creativity turns into a point on that curve. One mission of art is to find a different dimension, out of the curves reach, until eventually it becomes more common and the curve can be fitted to it again. AI cannot think outside of the box because it cannot think at all, there is no meaning behind what it does.
All human creativity are points ON the SAME Curve.
It doesn't matter what turns what into what into some point on the curve or finding a different "dimension"
If you come up with an algorithm that can traverse that curve you've found the algorithm for human creativity.
We are close, deadly close, to the end.
Especially given the fact that these AI algorithms literally treat the problem as a best fit curve from a mathematical perspective. Like the analogy I made is not even really an analogy, it's the reality of how these algorithms actually work.
By the way, I have one of numerous back-burner ideas about the GenAI rage problem - why isn't anyone trying to "close the loop", like by attaching a gaze tracking and mood detecting device to a human(like a camera pointed at such tool's developer) and chaos monkeying the image with noise, maybe with a bit of help from generative algorithms, until the human is satisfied? Then operation log of that monkey tool can be put into GAN side of diffusion or made into a new tag for embedding or something.
I think that saves everyone's time a lot. There shouldn't be ethical concerns to it, at least to same degree that running A/B tests on unsuspecting bunch is considered totally ethical and morally acceptable.