does it just piece bits of videos together from the randomness of the internet to generate something? So it's a statistical match to some aggregate combination of videos?
It's a diffusion transformer architecture, so no it doesn't piece together pieces of video. If you're familiar with denoising algorithms, the diffusion algorithm is essentially a semantically guided denoising algorithm. If you feed it pure noise so the only information it has is the semantic guiding, it will generate a video from that noise directly. I'm not sure exactly how the transformer part of the algorithm contributes, but my guess is that it's giving the denoiser the ability to not just look at adjacent pixels in 2D space, but across time through the attention mechanism. That's just a guess, though.
Are you asking here how AI art works, in general? That would take more than fits in a comment, and there are lots of explainers online. You could even ask ChatGPT this question. But no, it's not piecing bits of videos together. It doesn't store enough of each individual piece of art to have a piece. The art might take up X bytes, X being a large chunk of the whole internet, but the AI is only a fraction of a percent of that. So it can't possibly store chunks of each piece of art. Even 1 pixel from each piece of art would be too much. But it does store the patterns the art had in common with each other. And from that, it generates.
That didn't work particularly well, which was one of my main takeaways from the quiz.
Most striking in the train trip videos, where the cityscape video with extensive reflections is the "fake".
I got 10/10. At least 3 of them I remembered from Sora's announcement page (or samas twitter thread the same day). 3 or 4 of them seemed obvious, just having a lot of experience with cameras personally, and having seen a lot of AI content. I just chose the video that looked like the biggest pain-in-the-ass to do for real. One of them looked like a f/0.9 lens. Ain't nobody got time for that irl. I got lucky on the rest, I wasn't sure.
21 comments
[ 3.1 ms ] story [ 73.5 ms ] threadhttps://www.reddit.com/r/LocalLLaMA/comments/1aspxox/explana...