Gensyn cofounders Ben Fielding and Harry Grieve join us to discuss why AI’s infrastructure problem runs deeper than most people think. They explain how today’s AI ecosystem depends on a highly centralized stack of data and compute, why that matters, and what it would take to rebuild AI as open, decentralized infrastructure. Along the way, they cover how AI models are trained, why crypto may be essential to the future of AI coordination, and the rise of autonomous AI agents with onchain identities.
A few big companies control most of the infrastructure behind AI.
Most people experience AI through a wide range of different apps that actually depend on a deeply centralized stack of data and compute. In this conversation, Ben Fielding and Harry Grieve — cofounders of decentralized machine learning protocol Gensyn — explain why this matters, and what it would take to rebuild AI as open infrastructure instead.
From unused global compute to the philosophical implications of machine intelligence, they argue that the next evolution of AI must be owned, coordinated, and verified in a fundamentally different way.
Highlights
00:00 – Intro
00:29 – The biggest misconception about AI infrastructure
01:20 – Why centralization in AI is a deeper problem than people realize
04:19 – Why AI needs crypto
05:51 – How AI models are trained
08:15 – The rise of autonomous AI agents with onchain identities
10:37 – Lightning round
Ben Fielding on X: https://x.com/benfielding
Harry Grieve on X: https://x.com/harrygrieve
Gensyn on X: https://x.com/gensynai
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