
Who Should Control AI? Jordan Miller on Truth, Prediction & the Future (Ep. 332)
About this episode
It may be who controls it.
Tonight, Joe sits down with Jordan Miller, founder of the Satori Network, for a thoughtful conversation about artificial intelligence, decentralized technology, blockchain, prediction systems, and the future of human decision-making.
Jordan explains why he believes prediction—not language—is the true measure of intelligence, how decentralized AI differs from centralized models, and why giving a handful of corporations control over artificial intelligence may be one of the defining challenges of our generation.
Together they'll explore:
- What Satori is and how it works
- Can AI actually predict future events?
- Why decentralization matters
- The relationship between AI, blockchain, and human intelligence
- The ethical questions surrounding predictive technology
- Who should control artificial intelligence?
- How emerging technologies may shape truth, communication, and society
Guest: Jordan Miller
Founder, Satori Network
Learn more:
https://satorinet.io
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Special thanks to:
Executive Producer Wayne Rankin
Executive Producer Rosanna Rankin
Executive Producer Carolina Jimenez
Executive Producer Angela Wetuski
Executive Producer John Seeley
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(00:01:14) Joe introduces the AI and future prediction debate
(00:05:20) Jordan Miller joins to discuss Satori Network
(00:06:29) From philosophy to intelligence and brain research
(00:11:16) How crypto and distributed consensus changed his path
(00:14:24) Why prediction is central to real intelligence
(00:17:20) Modeling AI after the brain without copying it
(00:22:13) What people misunderstand about AI awareness
(00:29:34) AI as a kind of collective subconscious
(00:34:26) Building Satori as a decentralized future oracle
(00:40:24) Unique redundancy and the wisdom of the crowd
(00:46:55) Can humanity handle knowing more about the future
(00:50:22) Where the model could fail and how it filters bad data
(01:00:16) Final reflections, resources, and Joe's takeaway
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