Can AI Be Trusted? Building Verifiable, Scalable, Decentralized AI w/ the Founders of Gensyn

What if we could trust AI results the way we trust cryptographic signatures? That’s the radical promise behind Gensyn’s work—building verifiable, decentralized AI infrastructure from the ground up.

We kick off Season 2 of The People’s AI with Ben Fielding and Harry Grieve, the co-founders of Gensyn. We hear how their origin story began in a London warehouse—right before COVID lockdown—and how their mission has evolved from federated learning for tier-one banks to a sweeping new protocol for decentralized machine learning computation.

In this episode, we dig deep into:

• Why decentralized AI is technically hard to pull off — and why Gensyn is focused on solving it
• The limitations of vertical scaling, and how “horizontal scaling” might change everything
• What determinism really means in ML, and why it’s essential for verification and trust
• The nuance behind hallucinations in GenAI — and why they’re not always a bug
• How agentic systems and a “machine economy” might transform our future interactions

We also explore how their work connects to AI arbitration, smart contracts, and the growing demand for trustless execution across compute environments.

This is one of those conversations where infrastructure, philosophy, and future vision converge. We’re excited to share it with you.

About Gensyn, presenting partner of The People's AI Season 2:

Gensyn is a protocol for machine learning computation. It provides a standardised way to execute machine learning tasks over any device in the world. This aggregates the world's computing supply into a single network, which can support AI systems at far greater scale than is possible today. It is fully open source and permissionless, meaning anyone can contribute to the network or use it.

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