Crazy Wisdom
Episode #479: From Bitcoin to Birdsong: Building Trust in a World of Fakes
- Money & Sovereignty
- Crypto & Decentralization
- Proof of liveness
- proof of aliveness
- blockchain timestamps
- Rootstock
- Ethereum virtual machine
- Bitcoin blockchain
- decentralized verification
- projector-camera feedback loop
About this episode
Timestamps
- 00:00Stewart Alsop introduces Cathal, starting with proof of liveness vs proof of aliveness and deepfake challenges.
- 05:00Cathal explains projector-camera feedback loops, Perlin noise, cryptographic hashing, blockchain timestamps via Rootstock.
- 10:00Discussion on using multiple blockchains for timestamps, physics-based timing, and recording verification.
- 15:00Early Bitcoin days, cypherpunk culture, deterministic vs probabilistic systems.
- 20:00Projector emissions, autoencoders, six-channel matrix data type, training discriminators.
- 25:00Decentralized verification, truth beams, building trust networks without blockchain.
- 30:00Optical interlinks, testing computational nature of reality, simulation ideas.
- 35:00Dystopia vs optimism, AI offense in cybersecurity, reputation networks.
- 40:00Reality transform, projecting AI into reality, creative agents, philosophical implications.
- 45:00Conservation applications, biodiversity monitoring, insect assays, cryptographically secured data.
- 50:00Optical cryptography, analog feedback loops, quantum resistance.
- 55:00Open source tools, Jitsi, Element, cultural speciation, robot-assisted farming, nature-human-AI coexistence.
- Cathal’s “proof of liveness” aims to authenticate real-time video by projecting cryptographically generated patterns onto a subject and capturing them with synchronized cameras, making it extremely difficult for deepfakes or pre-recorded footage to pass as live content.
- The system uses blockchain timestamps—currently via Rootstock, a Bitcoin sidechain running the Ethereum Virtual Machine—to anchor these projections in a decentralized, physics-based timeline, ensuring verification doesn’t depend on trusting a single authority.
- A distinctive six-channel matrix data type, created by combining projector and camera outputs, is used to train neural network discriminators that determine whether a recording and projection genuinely match, allowing for scalable automated verification.
- Cathal envisions “truth beams” as portable, collaborative verification devices that could build decentralized trust networks and even operate without blockchains once enough verified connections exist.
- Beyond combating misinformation, the same projector-camera systems could serve conservation efforts—recording biodiversity data, securing it cryptographically, and supporting projects like insect population monitoring and bird song analysis on Cathal’s island in Ireland.
- Cathal is also exploring “reality transform” technology, which uses projection and AI to overlay generated imagery onto real-world objects or people in real time, raising possibilities for artistic expression, immersive experiences, and creative AI-human interaction.
- Open-source philosophy underpins his approach, favoring tools like Jitsi for secure video communication and advocating community-driven development to prevent centralized control over truth verification systems, while also exploring broader societal shifts like cultural speciation and cooperative AI-human-nature systems.
Episode transcript
Welcome to the Crazy Wisdom Podcast. This podcast is for you. If you have an insane drive to find the truth of things, it's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields, all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there, my guests go there, and you benefit. Please let me know if you enjoy these episodes and as always, subscribe on itunes, Spotify, or wherever you listen to the podcasts. Welcome to the Crazy Wisdom podcast. I've got Kuttle here and he is working on Polybotics, and I probably mispronounced both of those things, but welcome to show. Welcome to the show.
And we can get into meanings of those later, but we were just talking about something really interesting between the difference between proof of aliveness and proof of liveness. And this whole podcast started out of a mistranslation, which is probably going to make it a really good one, because I was asking, I'm sure I was asking about proof of aliveness. And you are working on proof of liveness.
Yeah, amongst other things. And. And in this video thing that is also relevant for a lot of things that I want to talk about, but we were just talking about the proof of aliveness versus liveness. Liveness is that it's happening in the moment right now. Aliveness means that whoever's in it is alive or has been alive at some point, which is a new question, but we will be focusing on the former.
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