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Missouri

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2026-02-05
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2026-02-05
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  1. Me about the actual label. You said it's metadata. I think a lot of people have a lot of experience with metadata. We are all children of the MP3 revolution. Metadata can be stripped, it can be altered. protects the C2PA metadata from just being changed.

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  2. So this is a metadata standard effectively that was kick-started by Adobe. Interestingly enough, Twitter as well back in the day, you can see where the logic lies. It was supposed to be that everywhere a little bit of content goes online, this embedded metadata would follow. So what CTPA does is at the point that you take a picture on a camera, you upload that image into Photoshop. All of these instances would be recorded in the metadata of that file to say exactly when it was taken, what has happened to it, what tools were used to manipulate it, and then as a two-part process, all of that information could then hypothetically be read by online platforms where you would see that information. So as consumers, as internet users, we wouldn't have to do anything. We would be able to, in this imaginary reality, go on Instagram or X and look at a photo and there would be a lovely little button there that just says this is AI generated.

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  3. this now The problem, broadly, is that there's an enormous amount of AI generated content on the Internet. Much of it is just depicts things that are flatly not real. An important subset of that is there's a lot of content that depicts modifications to things that actually happened. So our sense that we can just look at a video or a picture and sort of implicitly trust that it's true is fraying, if not completely gone. And we will come to that because that's an important turn here. But that's the sort of state of play. In the background, the tech industry has been working on a handful of solutions to this problem, most of which involve labeling things at the point of creation, right? At the moment you take a photo or the moment you generate an image, you're going to label it somehow. The most important one of those is called C2PA. So can you just quickly explain what that stands for, what it is, and where it comes from?

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  4. Yeah, I keep likening the situation to the Jurassic Park memo whereas people thought so long about whether they could. They didn't actually stop thinking about whether they should be doing this. Now we're in the mess at Rome.

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  5. I want to just set this stage. Several years ago, I said to Jess, boy, these creator tools are criminally undercovered. Adobe is a company is criminally undercovered. Go figure out what's going on with Photoshop and Premiere and the creator economy because there's something there that's interesting. And fast forward, here you are in Dakota today, and we're going to talk about whether you can label your way into consensus reality. I just think it's important to say that's a weird turn of events

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  6. That the defaults should shift, then you should not trust images or videos the way that you maybe could before. Think about that for one second. That's a huge, pivotal shift in how society evaluates photos and videos. And it's an idea I'm sure we're going to come back to a lot this year. But we have to start with the idea that we can solve this problem with metadata and labels, that we can label our way into a shared reality. And why that idea might simply never work? Okay, Virgil Reporter Jess Weatherbed on C twoPA and the effort to label our way into reality. Here we go. Jess Weatherbed. Welcome to Dakoder.

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  7. Is it so far? These systems have been almost entirely failures. In this episode, we're going to focus on C2PA, since it's the one that has the most momentum. It's a labeling initiative spearheaded by Adobe with buy-in from some of the biggest players in the industry. including meta, Microsoft, and OpenAI. But C2PA, which is also sometimes referred to as content credentials, has some pretty serious flaws. First, it was designed as more of a photography metadata standard, not an AI detection system. Second, It's really been only half heartedly adopted by a handful, but not nearly all of the players you would need to make it work across the internet ecosystem. We're at the point now where Adam Missari, who runs Instagram, is publicly posting.

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  8. Manipulated, ultra believable images and videos flood onto social platforms at scale, and without regard for responsibility or norms or even basic decency. The White House is sharing AI manipulated images of people getting arrested And defiantly saying it simply won't stop when asked about it. We are just totally off the deep end now. Whenever we cover this stuff, I get the same question from a lot of different parts of our audience. Why isn't there a system to help people tell the real photos and videos apart from the fake ones? Some people even propose systems to us. And as it happens, Jess has actually spent a lot of time covering a few of these systems that exist in the real world. The most promising is something called C2PA. In her view,

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT

  9. And welcome to Dakota. I'm Neil Lapatell, editor in chief of the Virgin. Dakoter is my show about big ideas and other problems. Today, we're going to talk about reality and whether we can label photos and videos to protect our shared understanding of the world around us. No, really, we're going to go there. It's a deep one. To do this, I'm going to bring on Verge Reporter Jess Weatherbed, who covers creative tools like Photoshop and Canva for us. It's a space that's been totally upended by generative AI in a huge variety of ways, with an equally huge number of responses from artists, creatives, and the people who consume, all of that art in creative out in the world. Now, if you've been listening to Dakota or my other show The Virchast, or even just reading The Verge over these past few years, you'll know that we've been talking about how the photos and videos taken by our phones are getting more and more processed and AI generated for years now. And now, in 2026, we're in the middle of a full-on reality crisis, as fake and

    2026-02-05 · Decoder with Nilay Patel · Reality is losing the deepfake war · IDENTIFIED FROM THE TRANSCRIPT