Preserving Privacy in the Age of AI, w/ Marta Belcher and Jiahao Sun
How do we protect privacy in an AI-powered world?As AI systems become increasingly powerful, they’re also becoming increasingly invasive. The stakes are no longer theoretical — they’re immediate and personal. From hospitals and law firms to small construction firms, businesses across industries are facing a pressing dilemma: how can we unlock the benefits of AI without compromising sensitive data?In this episode of The People’s AI, presented by Gensyn, we explore two leading approaches to privacy-preserving AI. First, we speak with Marta Belcher, President of the Filecoin Foundation and a longtime advocate for civil liberties in technology. She breaks down how centralized AI systems threaten privacy and how decentralized, open-source models — like Filecoin — can provide a better alternative. We also dig into why overzealous regulation could backfire and how the stakes go far beyond crypto and into mainstream business.Then, we shift to a more technical conversation with Jiahao Sun, CEO of Flock, a startup pioneering federated learning and blockchain-based governance. He walks us through how decentralized training models are already being used in hospitals in the UK and Korea — and what it will take to make private, local, user-controlled AI the norm.We cover:How centralized AI supercharges surveillance riskWhy federated learning and encryption may hold the keyThe case for decentralized AI in healthcare and beyondWhy tokenomics, staking, and governance matter for AI trustWhat a privacy-first future of agents and personal models could look likeThis isn’t just a crypto or Web3 issue — it’s a business imperative.Flock:https://www.flock.ioFilecoin:https://filecoin.ioAbout Gensyn: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.Gensyn - LinkedIn - Twitter - Discord
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Solving AI’s Energy Crisis with Decentralized Compute, w/ Akash CEO Greg Osuri
What happens when AI runs out of energy? As models grow exponentially, the world’s compute and energy needs are skyrocketing—and our current infrastructure may not keep up.On today's episode of THE PEOPLE'S AI, presented by Gensyn, we speak with Greg Osuri, founder and CEO of Akash Network, to dive into the future of decentralized AI and why distributed compute could be the key to solving AI’s looming energy crisis. Greg explains the real-world constraints facing AI data centers, why GPU shortages are only the beginning, and how asynchronous AI training and swarm learning could fundamentally change how models are trained.We explore:[2:39] The core problem decentralized compute is solving[7:17] AI’s insatiable energy demand and the role of hyperscalers[9:33] Why energy supply is the real AI bottleneck[12:29] Asynchronous and distributed AI training explained[20:44] How mainstream AI is beginning to embrace decentralized models[24:57] Moving AI compute to the power source: solar, wind, and home devices[41:38] The White House AI plan and the future of open-source AIThis episode connects AI infrastructure, energy sustainability, and decentralization, offering a first-principles look at how we can build a more resilient, sovereign future for machine intelligence.If you’re curious about AI compute, open-source AI, and the intersection of energy and technology, this conversation will expand the way you think about the future of AI.Akash Network:https://akash.network/About Gensyn: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.Gensyn - LinkedIn - Twitter - Discord
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Can AI Be Creative? With AI Artists Mario Klingemann & Shavonne Wong
What does it mean for AI to be creative? Can a machine surprise us—or even move us?This week, we explore the frontier of AI-generated art, emotional AI, and decentralized creativity through two very different lenses. In this episode of The People’s AI, presented by Gensyn, we speak with Mario Klingemann, creator of the autonomous artist Botto, and Shavonne Wong, the mind behind the interactive AI companion Eva.We look at how Botto uses generative AI to create tens of thousands of artworks per week, then lets a DAO community vote on which get minted as NFTs—some of which have sold at Sotheby’s. Shavonne walks us through Eva, a “listening machine” designed to be emotionally available, raising questions about grief tech, AI intimacy, and what it means to be heard.Topics include:(03:48) How Botto works: generation, voting, and DAO-based curation(09:15) The role of taste modeling and semantic drift in AI art(16:02) AI companions, grief tech, and emotional projection(24:30) Will AI cause cultural atrophy—or unlock new creative paradigms?(28:44) The tension between AI as tool vs. AI as collaboratorWe close with a reflection on how human meaning gets projected onto machines—and what that might mean for the future of art, identity, and emotional connection in an AI-shaped world.BottoMeet Eva HereAbout Gensyn: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.Gensyn - LinkedIn - Twitter - Discord
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Building the AI Agent Future: Shaw Walters (Eliza) & Harry Grieve (Gensyn)
How will AI Agents transform the world? And why do they need to be Decentralized?This episode explores the frontier of AI agents—their power, their risks, and their role in shaping our future, on THE PEOPLE'S AI, presented by Gensyn. Host Jeff Wilser talks with Shaw Walters (founder of Eliza Labs) and Harry Grieve (co-founder of Gensyn) about what happens when AI agents become autonomous, self-coding, and capable of running their own workflows or even companies.Shaw explains how Eliza Labs is building an operating system for AI agents that can write plugins, make decisions, and operate independently. Harry walks through how Gensyn is creating a decentralized infrastructure for machine learning verification, allowing trust to be cryptographically enforced.Together, they discuss:Why “agent swarms” may soon outnumber human teamsHow cryptographic trust can secure AI systemsWhether AI agents will replace white-collar jobsWhat a decentralized, AI-native internet might look likeWe also dig into philosophical questions: Who governs these agents? What does it mean to build trust in autonomous systems? And what happens to society when the agents are working… for themselves?About Gensyn: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.Gensyn - LinkedIn - Twitter - DiscordEliza Labs:https://www.elizaos.ai/
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A (Respectful) Debate on AI Policy, w/ Justin Hendrix and Jeff Amico
Should AI be regulated by governments, left to the courts, or guided by open markets and open source? That question is at the heart of this thoughtful, civil debate between two leaders shaping the future of AI policy.In this episode of The People’s AI, we’re joined by Justin Hendrix (Tech Policy Press) and Jeff Amico (Gensyn) for a wide-ranging conversation on how — and by whom — artificial intelligence should be governed. We explore the competing tensions between innovation and regulation, centralization and decentralization, open models and closed ones.We cover:The case for federal vs. state-level AI legislationWhether a moratorium on state AI laws could backfireAI’s environmental footprint and the hidden cost of data centersNational security, China, and the myth of technological containmentThe nuanced risks (and rewards) of open-source AI modelsThis isn’t a food fight — it’s a conversation grounded in substance, disagreement, and common ground.Timestamps:(2:03) What is Gensyn? What is Tech Policy Press?(4:16) Defining the guests’ north stars for AI policy(6:37) Who should set the rules—Congress, states, courts, or global bodies?(12:31) The federal bill that may override state AI laws(17:22) What exactly should we regulate? Models, data, or applications?(24:17) Geopolitics, China, and national security implications(30:45) The open-source debate: freedom vs. risk(39:08) What keeps them up at night: from monopolies to environmental collapse(46:55) Notes of optimism — and what gives them hopeIf you’re curious about the future of AI regulation, this is the debate to hear.Tech Policy Press:https://www.techpolicy.press/About Gensyn: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.Gensyn - LinkedIn - Twitter - Discord
About The People's AI: The Decentralized AI Podcast
Who will own the future of AI? The giants of Big Tech? Maybe. But what if the people could own AI, not the Big Tech oligarchs? This is the promise of Decentralized AI. And this is the podcast for in-depth conversations on topics like decentralized data markets, on-chain AI agents, decentralized AI compute (DePIN), AI DAOs, and crypto + AI. From host Jeff Wilser, veteran tech journalist (from WIRED to TIME to CoinDesk), host of the "AI-Curious" podcast, and lead producer of Consensus' "AI Summit." Season 2, presented by Gensyn.
New Zealand