Aug 14, 2026 · 41 min · 11 segments
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Mike MasnickHostBut, you know, there is this kind of growing question of, of what can you trust online, what is real, and we're gonna talk a bit about fact-checking later, which I think was kind of the original attempt to help validate what people saw on the web.


And one element of that is a requirement for AI-produced content to be watermarked in some way.

You can understand the sort of thinking behind that, in that there was a lot of concern.

You know, a lot of the initial concerns about generative AI tools was that it was generating content that would fool people into believing that it was real.

I mean, the, the deepfakes, right? We spent years talking about the threat and risk of deepfakes and how they were fooling people, except that there was maybe not that much evidence of people actually being fooled by deepfakes.

In fact, it seemed like the bigger problem was people doing what's been known as the liar's dividend, where they would claim when they were really caught doing something that it was a deepfake.


There's a, a standard which is now pretty widely being adopted for image and audio and video AI-generated content that, from what I've heard, is getting pretty good and is fairly hard to break, though I imagine people will come up with all sorts of ways to break it over time.



But basically, what they're doing is they have put some sort of, at this point still hidden, kind of bias into their text generation that will be recognizable to a machine-readable system to indicate that the text has been processed by Anthropic's tools.


There's the, the regulatory aspect of it, which is that they're sort of required to do this.


A lot of people are really, really mad about it, some for perhaps reasonable reasons, some I think for less than [chuckles] reasonable reasons.
But, you know, there is this kind of growing question of, of what can you trust online, what is real, and we're gonna talk a bit about fact-checking later, which I think was kind of the original attempt to help validate what people saw on the web.


And one element of that is a requirement for AI-produced content to be watermarked in some way.

You can understand the sort of thinking behind that, in that there was a lot of concern.

You know, a lot of the initial concerns about generative AI tools was that it was generating content that would fool people into believing that it was real.

I mean, the, the deepfakes, right? We spent years talking about the threat and risk of deepfakes and how they were fooling people, except that there was maybe not that much evidence of people actually being fooled by deepfakes.

In fact, it seemed like the bigger problem was people doing what's been known as the liar's dividend, where they would claim when they were really caught doing something that it was a deepfake.


There's a, a standard which is now pretty widely being adopted for image and audio and video AI-generated content that, from what I've heard, is getting pretty good and is fairly hard to break, though I imagine people will come up with all sorts of ways to break it over time.



But basically, what they're doing is they have put some sort of, at this point still hidden, kind of bias into their text generation that will be recognizable to a machine-readable system to indicate that the text has been processed by Anthropic's tools.


There's the, the regulatory aspect of it, which is that they're sort of required to do this.


A lot of people are really, really mad about it, some for perhaps reasonable reasons, some I think for less than [chuckles] reasonable reasons.
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