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Why AI and Robotics Fail Without Trustless Data ｜ XYO’s Vision for Autonomous Systems
Published 4 months, 1 week ago
Description
In this episode of Blockchain Interviews, Ashton Addison sits down with Markus Levin, Co-Founder of XYO Network and XYO Layer One, to explore why verifiable data is becoming critical infrastructure for AI, robotics, and autonomous systems. As AI moves out of controlled digital environments and into the physical world, data integrity becomes a safety issue, not just a technical one. Markus breaks down why unverified data and hallucinated inputs create systemic risks for robotics, how cryptographic verification changes machine behavior, and why trustless data is the missing layer for reliable autonomy.The conversation goes beyond crypto and tokens into the future of machine economies, autonomous coordination, AI payments, and blockchain as a verification and coordination layer. From “proof of work for robots” to data-native blockchains and trustless infrastructure, this episode reframes Web3 as foundational systems architecture for AI and robotics, not speculation.
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