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After cryptoXai.wtf, we are moving the discussion around crypto and AI forward to a more focused direction - commitment devices. Specifically, we are having a small hackerhouse/gathering/whiteboarding workshop.
Apr 22, 2024From Asimov's Laws to Ethereum’s Protocol: [Re]searching the intersection where crypto meets AI alignment. An Unfinished Treasure Map Both the cryptoeconomics research community and the AI safety / new cyber-governance / existential risk community are trying to tackle what is fundamentally the same problem: How can we regulate a very complex and very smart system with unpredictable emergent properties using a very simple and dumb system whose properties once created are inflexible. - Vitalik Buterin, Why Cryptoeconomics and X-Risk Researchers Should Listen to Each Other More (2016) Over the course of the past few years, there has been many explorations of combining crypto and AI in solving practical problems, e.g. MEV and commitment races, credible auctions via blockchains, conditional information disclosure and programmable privacy, federated learning, zkml, and identity. Recently, transactions on Ethereum are becoming more like agentic intents (e.g., account abstraction, smart transactions), and protocols like SUAVE arise to turn adversarial on-chain bot war into coordinated execution markets that satisfy human preferences. Here in Zuzalu, we attempt to explore their intersection from first principles. During an evening whiteboarding session at a Pi-rate Ship pop-up hackerhouse, we, a group of humans, started by brainstorming the core concepts that underpins the foundations of both fields. We arrived at a collective mindmap for Crypto X AI, taken inspiration from MEV mindmap: undirected traveling salesman. This exploration leads us to a continuing journey into a future where crypto mechanisms become increasingly conscious, and AI plays a transformative role in prediction and alignment.
Aug 7, 2023This is an expansion on the Flashbots research prize thread.
Jul 26, 2023This is a work-in-progress document. It is NOT the canonical/official SUAVE spec, only a personal interpretation with some AI-MEV flavored research (in section “Cognition and Complexity”) on top. The ideas in this doc are inspired by discussions with Barnabé Monnot and based on the original ideas by Phil Daian.
Apr 26, 2023or
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