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The Only Defense Against AI with Uma Roy

The Only Defense Against AI with Uma Roy

17 segments available

The defense against AI is ZK. Artificial intelligence is total surveillance, while zero knowledge is complete privacy. Cryptographer Uma Roy joins the podcast to explain why AI detection is a dead end and how zero knowledge proofs can verify reality. If these ideas interest you, we're building startup societies at Network School. You can apply online at https://ns.com. OUTLINE 0:22 - ZK is a powerful cryptographic technique 6:58 - AI makes everything fake 8:49 - AI detection is not robust 12:51 - No public undisclosed AI 22:17 - AI detection is a dead end 26:21 - Crypto makes it real again 44:26 - If the news is fake, imagine history 52:29 - Combating negative externalities of AI REFERENCES * Principia Mathematica: https://www.amazon.com/Principia-Mathematica-Alfred-North-Whitehead/dp/1603864377/ * How the spinach, Popeye and iron decimal point error myth was finally bust: https://irep.ntu.ac.uk/id/eprint/30230/1/7987_Sutton.pdf * Balaji on the impossibility of mechanically banning "lying" on social media: https://x.com/balajis/status/1198727092835364864 * "Truegle", Gödel incompleteness, and limits of formal truth-checking: https://x.com/balajis/status/1198729374004060165 * Jurassic Ballpark as a metaphor for approximating reality with fictional priors: https://x.com/balajis/status/1441256189178761221 SOCIAL: https://ns.com https://x.com/pumatheuma https://x.com/SuccinctLabs https://x.com/ns

Segments Timeline

1
0:00 - 2:01
2:01 duration383 words

Unlocking Cryptography for AI Solutions

The segment discusses Syscoin's advancements in zero-knowledge technology and its potential applications in addressing AI challenges.

"Uma, welcome to the Zero Knowledge Podcast. Thanks for having me. Awesome. You want to introduce yourself briefly? >> Yeah, so I'm co-founder CEO of Syscoin. Syscoin is a applied cryptography company...."

2
2:01 - 4:02
2:01 duration351 words

Building Truegle: The Ledger of Record

Exploring the concept of Truegle and its reliance on LLMs and on-chain information.

"So yeah, I actually actually many years ago, partly actually because of AI, but also with social media when people are talking about misinformation, disinformation, and so on and so forth. Years ago, ..."

3
4:02 - 6:03
2:01 duration385 words

From MIT to Machine Learning

A discussion on the speaker's academic background and experiences transitioning from machine learning to zero-knowledge proofs.

"could be maybe a big part of that. So you had some slides so maybe you want to go through your slides? Oh yeah. What's your background by the way? You're born in the US you um What's your >> Yeah born..."

4
6:03 - 8:03
2:00 duration358 words

AI Makes Everything Fake: The Challenge

This segment discusses the pervasive issue of AI-generated fakes and the implications for reality and trust in digital media.

"surprised by that? Oh, I mean, absolutely. Uh I think even the close people closest to the metal on this stuff seemed surprised at like how well it's going and even today like the level of math proble..."

5
8:03 - 10:04
2:01 duration342 words

The Limits of AI Detection Technology

This segment explores the challenges and shortcomings of AI detection methods, emphasizing the need for critical evaluation of their effectiveness.

"not, you know, that hard to understand why it's so problematic. Um, I would say the state of the art right now for trying to detect AI is use AI. So, people have like trained these AI detectors uh, to..."

6
10:04 - 12:04
2:00 duration389 words

Detecting AI's Unique Text Patterns

This segment explores how certain distinct styles and patterns in AI-generated text can be identified, highlighting the effectiveness of current detection methods.

"view is that there's a lot of AI text on X, for example, that at least I can trivially detect. It's not this, it's that, and the M dashes, and and so on and so forth, right? And there's certain people..."

7
12:04 - 14:05
2:01 duration401 words

Navigating AI Ethics: Public vs. Private

This segment discusses the ethical implications of using AI in content creation, emphasizing the balance between public disclosure and personal use.

"basically perturb the image a bit so you blur it or you crop it or you add some like in indiscernible Gaussian noise to the image and then the AI detectors all completely break. And I think even in te..."

8
14:05 - 18:07
4:02 duration690 words

Judgment in the Age of AI

This segment discusses the challenges of evaluating AI-generated content and the implications of shortcuts in communication.

"people mad and at least if I analyze my own reaction on that I don't when someone is sending me something that's obviously AI I think they're either stupid or lazy. They're Why it they're stupid becau..."

9
18:07 - 22:08
4:01 duration746 words

AI's Fiction vs. Reality Confusion

Exploring how fictional depictions influence perceptions of reality and the implications for understanding genuine events.

"the scientists didn't know what to make of that part, so they spliced in amphibian DNA. And that leads to you know, the the dinosaurs reproducing. The point being that when we are dealing with a situa..."

10
22:08 - 26:11
4:03 duration755 words

AI Detection: A Dead End

This segment discusses the limitations of AI detection, emphasizing its inherent challenges due to the optimization of models that make generated outputs increasingly indistinguishable from real data.

"political leaders and like kind of similar story across all these different categories of images. And so, our conclusion from this study was that AI detection is a dead end. Um like fundamentally, and..."

11
26:11 - 30:12
4:01 duration746 words

Crypto: The Truth Behind Content Creation

This segment explores how cryptography can restore authenticity throughout the content creation lifecycle.

"yeah, the AI detecting eyes was like not going to work. Um that seems bad. Um so, it's succinct. Well, okay. AI makes everything fake. That's what you said. What's the what's the solution? Crypto make..."

12
30:12 - 34:13
4:01 duration730 words

The Future of Trust in Media

Exploring how cryptography will shape perceptions of reality in a world dominated by AI.

"this content is like actually real, and like here's the device, and here's like the series of transformations that happened to it." Mhm. Very cool. So, okay, keep going. So yeah, this is the provable ..."

13
34:13 - 38:16
4:03 duration798 words

Digital Tribes and Cryptographic Future

This segment explores the intersection of digital tribes, cryptography, and media verification in an AI-driven world.

"cryptographically signed it. Like, you you cuz you could do something upstream like the analog hole upstream, you know, the equivalent of putting something in front of the camera, right? Um and we can..."

14
38:16 - 42:20
4:04 duration711 words

Decentralized News: A New Wave

Exploring the idea of citizen journalism incentivized by crypto to create a decentralized news outlet.

"this is like a missing piece of that. Mhm. Where we have all of these quote reporters from around the world and on any topic that we care about we can incentivize first party reporting where we pay in..."

15
42:20 - 46:23
4:03 duration645 words

A Collective Awakening to Truth

Exploring the shift in perspective on politics and reality as shaped by cultural narratives and historical events.

"Okay. So, um which she people should go to succinct.xyz? Yeah, people can go to succinct.xyz um or follow us on Twitter @succinctlabs and we will be posting We're building this whole stack and we're g..."

16
46:23 - 50:26
4:03 duration653 words

Unraveling the Iron Myth

This segment explores the complexities of citation tracking and how misconceptions, like the iron content in spinach, can be debunked through deeper research.

"know, apocryphal apple falling down, right? Like what you think you know is true, if you can track back all the citations all the way back to root, that's the reason that we think it's true. Why is th..."

17
50:26 - 53:34
3:08 duration532 words

Mining Truth in an AI World

This segment explores the distinction between pre-headline and post-headline perspectives on truth, particularly in the context of AI and its implications for media and knowledge.

"Mhm. That is to say, until NYT or the State Department or something like that, their implicit epistemology was, is a reputable source saying it? If so, then true. If not, then false. Now, this was alw..."

The Only Defense Against AI with Uma Roy — Uma Roy | Searchlore