Crypto Coin Show
Crypto Coin Show

Why AI and Robotics Fail Without Trustless Data | XYO’s Vision for Autonomous Systems

01 February 2026 35:55 Crypto Coin Show

Listen to episode

About this episode

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.

🔔JOIN OUR FREE NEWSLETTER FOR 100X GAINS🔔: https://cryptocoinshow.substack.com/subscribe

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Crypto Coin Show. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.