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Stable Diffusion

Stable Diffusion

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Search complete. 56 mentions across 28 episodes found for "Stable Diffusion".

Sep 12, 2026

Nikodem SkrobiszHOST
82:54
And what I observed was like a lot of like frontier algorithmic ideas were developed by professors or researchers in Germany.
Nikodem SkrobiszHOST
83:03
For example, stable diffusion was developed in Germany, invented and open sourced.
Nikodem SkrobiszHOST
83:09
And they also wanted to turn it into a company.
Nikodem SkrobiszHOST
83:12
But by the time they finished basically paperwork, Already mid-journey and open eye turned it into products on the other end of the world.
Nikodem SkrobiszHOST
83:21
And you had Delhi and mid-journey and no one was interested anymore in buying stable diffusion as a commercial product.
Nikodem SkrobiszHOST
83:28
So with inflammation speed is something we still lack.
Nikodem SkrobiszHOST
83:32
But what I'm wondering maybe is now basically, okay, we export a lot of knowledge and they turn it into AI.
Dagogo AltraideHOST
3:56
Meanwhile, two computer scientists managed to fool a bunch of Redditors into giving them money.
Dagogo AltraideHOST
4:00
They used stable diffusion to generate fake images of an attractive female and convinced the men to give some money if they wanted to see more pictures.
Dagogo AltraideHOST
4:08
I'd imagine that this was one of the easiest scams to pull off, and unfortunately, there's going to be plenty more like it.
Dagogo AltraideHOST
4:15
An AI version of Drake and an AI version of The Weeknd collaborated in a fake song called Heart on My Sleeve, and it was doing the rounds on social media and Spotify, gaining hundreds of thousands of streams on Spotify alone.

6 MINS LATER

Dagogo AltraideHOST
10:19
We're all used to it.
Dagogo AltraideHOST
10:20
It's almost like this has always been possible.
Dagogo AltraideHOST
10:23
From mid-journey to stable diffusion and dream up, any user can now create stunning and surreal images from text prompts in under a minute.
Dagogo AltraideHOST
10:31
It's amazing when you think about it.
Rabia ChaudryHOST
29:34
So that man was Stephen Andring of Wisconsin, who was a software engineer.
Rabia ChaudryHOST
29:38
And what he had done was he had installed something called stable diffusion, which is some kind of AI program on his laptop.
Rabia ChaudryHOST
29:45
He added software components that allowed the program to create depictions of realistic human private parts.
Rabia ChaudryHOST
29:52
And then he used curated text prompts and all kinds of things to create photorealistic images of minors in sexually explicit positions.
Brian KeatingHOST
10:09
Um, so the paper which you posted yesterday, and you've been, um, you've been probably the, the most important, you know, kind of, uh, commentator, as also professional in this area.
Brian KeatingHOST
10:18
I'll remind people you co-founded Stable Diffusion, Stability AI.
Brian KeatingHOST
10:23
Uh, you have a master's in mathematics from Oxford.
Brian KeatingHOST
10:26
And, and you've been thinking about these problems for many, many years, and you and I have been talking for many months now.
Nathaniel WhittemoreHOST
22:48
The first was image generation.
Nathaniel WhittemoreHOST
22:50
Now, this is a little bit borderline because obviously even before things like Midjourney and Stable Diffusion and later NanoBanana and GPT Image, people were interacting with images.
Nathaniel WhittemoreHOST
23:01
But still, before it was really easy to generate them, interacting with images or at least creating images remained a more specialized domain.
Nathaniel WhittemoreHOST
23:10
If you look at the big generative AI releases from November 2022 as a proxy, it's not surprising that ChatGPT was so quickly so much more ubiquitous than Midjourney's version four, which also came out that month.
speaker_0NARRATOR
0:01
When frontier AI starts to look less like software and more like a new form of intelligence, the stakes change fast.
speaker_0NARRATOR
0:10
Today, we're diving into Brian Keating's conversation with Imad Mostak, the founder behind Stable Diffusion.
speaker_0NARRATOR
0:16
And it opens with a striking claim.
speaker_0NARRATOR
0:19
The trillion-dollar AI labs currently possess models that they will never release to the public.
speaker_0NARRATOR
1:56
He contrasts autoregressive transformers with diffusion models by explaining that diffusion works by destroying data with noise, then learning to reconstruct it.
speaker_0NARRATOR
2:06
He sees that process as tied to compression, least action, and even how nature itself seems to minimize effort while preserving structure.
speaker_1NARRATOR
2:15
And stable diffusion itself was meant to democratize this technology, right? Exactly.
speaker_0NARRATOR
2:21
Emad notes that open sourcing it was meant to prevent the privatization of knowledge.
Ben SobelGUEST
20:55
Right.
Ben SobelGUEST
20:55
This is a notable case because, as I recall, it involved a program called Stable Diffusion, which is an open source image generator.
Ben SobelGUEST
21:05
And so that means that it's much harder to control how it is used.
Ben SobelGUEST
21:10
So companies that have tighter control over their applications may impose more safeguards that prevent generating this kind of media.
Ben SobelGUEST
21:18
In contrast, something like Stable Diffusion harder to regulate, harder to control the sorts of stuff that it produces or that people can tweak it to produce.
Ben SobelGUEST
21:28
One very important point on this precise angle, it was reported in, I want to say, late 2023, that some of the training data, and we're talking about billions of images, but Among those billions of images for some of Stable Diffusion's training data were child sexual abuse images.
Ben SobelGUEST
21:47
And so while that issue wasn't implicated by this particular case, that is an additional wrinkle in this really complicated landscape of regulating both the technology itself and the images that it's capable of producing.
Rob FerrettHOST
22:02
Now, an issue that's come up, and again, this is in your paper a couple of years back, there's been a debate over a depiction of an actual person using deep fakes, talking about adults in that case.
Wolfram RavenwolfHOST
4:42
So the Minimax model, the video model, which was released as open source, we covered it, but it is making so many waves.
Wolfram RavenwolfHOST
4:48
It's like a stable diffusion moment where they throw this out and people-
Alex VolkovHOST
4:52
Yeah
Wolfram RavenwolfHOST
4:52
... grab it and make it faster and make it render continuous, as we'll cover later.
Wolfram RavenwolfHOST
4:57
But this is, yeah, a milestone I think.
Wolfram RavenwolfHOST
4:59
Very much a milestone.
Alex VolkovHOST
5:01
This definitely feels like the stable diffusion moment for video.
Alex VolkovHOST
5:04
For those of us who are new to AI and didn't join the stable diffusion moment, once the open weights dropped for stable diffusion, multiple things happened in parallel.
Alyssa BurgartHOST
60:28
This was flagged very early on.
Alyssa BurgartHOST
60:31
And the person who was in the Seventh Circuit Court of Appeals ruling, someone named Anderegg, he was using something called Stable Diffusion, which is also a text-to-image generating platform that was very popular that was also trained on the Lion 5B platform.
Alyssa BurgartHOST
60:50
open, large training set, which we know had at least a thousand images of child sexual abuse material, which were used to train it.
Alyssa BurgartHOST
60:59
So I was, listen, America has a long history of laws that promote the free speech of abusers over the actual safety of actual people.
Arghavan SallesHOST
62:34
And I agree with you.
Arghavan SallesHOST
62:36
And?
Alyssa BurgartHOST
62:37
People who used both stable diffusion and grok don't need to know who this woman is to say, hey, I want to find a picture of this specific person.
Alyssa BurgartHOST
62:48
And I know you got it somewhere in there.
Jordan BermanHOST
47:00
they couldn't be linked to any actual they were they were computer generated so the children in these pictures were not real children but prosecutors argue that andrag did more than just create these images and keep them inside of his house okay so this investigation actually started after instagram reported that images had been sent to an account belonging to a 15 or 16-year-old boy.
Jordan BermanHOST
47:22
According to the court record, Anderegg then explained to that boy how he made the pictures that he was sending, which was by using this platform, Stable Diffusion.
Jordan BermanHOST
47:31
So Anderegg eventually gets charged with four federal crimes, producing obscene images depicting minors, distributing those images, sending obscene material to someone under the age of 16, and possessing the images inside of his home.
Jordan BermanHOST
47:45
Only that last charge, possessing the images inside of his home, has been dismissed, okay? The other three charges are still very much moving forward.

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