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The People's AI: The Decentralized AI Podcast

The People's AI: The Decentralized AI Podcast

著者: Jeff Wilser
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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." Presented by Vana.

© 2025 The People's AI: The Decentralized AI Podcast
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  • Deep-Dive into Decentralized AI Data Marketplaces, w/ Vana co-founder Art Abal
    2025/05/23

    What if your personal data wasn’t being harvested — but instead valued, tokenized, and returned to you?

    That’s the radical shift proposed by Vana, a platform building decentralized data marketplaces that aim to give users economic power over their own data.

    In this episode of "The People's AI," we speak with Art Abal, Vana’s co-founder, to unpack how today’s data economy works behind the scenes — and why it’s fundamentally broken. In this episode, we explore how data is currently bought and sold by tech giants, what it would take to redesign that infrastructure around user ownership, and how Vana’s VRC-20 token could be the first step in treating data as a liquid, tradable asset.

    We go deep on:

    • Why centralized data brokers still dominate AI training pipelines
    • How “data market makers” could unlock liquidity in user-owned datasets
    • The mechanics and philosophy behind the VRC-20 token
    • Real-world case studies, like data DAOs for Reddit and electric vehicle telemetry
    • The path toward Universal Data Income (UDI) — and how it might reshape AI’s future

    Whether you’re a builder, investor, or simply data-curious, this episode offers a look into a future where AI and Web3 integration doesn’t just protect your privacy — it pays you back.

    Please subscribe, share, and join the conversation.

    About Vana:

    Vana's mission is to enable user-owned AI through user-owned data. Vana recently announced a collaboration with Flower Labs to build the world’s first user-owned foundation model.

    About Vana's collaboration with Flower:

    https://www.vana.org/posts/vana-flower-labs-partnership

    More on Vana:

    https://linktr.ee/vanahq

    Vana on Twitter/X:

    https://x.com/vana


    Subscribe to The People's AI on YouTube:

    https://www.youtube.com/channel/UCnLiYlJulQIcmvCjnVRYotw

    Jeff Wilser on Twitter/X:

    https://x.com/jeffwilser

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    45 分
  • Decentralized AI Hype vs. Reality, w/ VCs Alex Odagiu & Daniel Barabander
    2025/05/15

    What’s real in Crypto + AI—and what’s just noise? In this episode of THE PEOPLE'S AI podcast, presented by Vana, we sat down with two top investors to unpack the actual state of decentralized AI. These are the people who see all the decks, hear all the pitches, and are funding what they believe is the future of the space. So what’s legit, what’s frothy, and where’s it all headed?

    First, we talk with Alex Odagiu, Investment Director at YZI Labs. Alex gives a clear-eyed view of the current landscape, sharing insights on the wave of projects flooding the space, the use cases that excite him (think data markets, DeFi agents, and composable infrastructure), and the challenges of signal vs. noise. He also breaks down how he uses AI tools in his own VC workflow—practical, actionable insights for anyone trying to level up their research game.

    Then we shift to a wide-ranging, deeply thoughtful conversation with Daniel Barabander, GC and Investment Partner at Variant. We get into the big picture of how crypto and AI fit together, especially around agent composability, economic ownership, and verification layers. He walks us through why AI agents might need to spend cryptocurrency, where that thesis holds up, and where it doesn’t. We also explore what’s still broken in the space—and what’s needed for real breakthroughs.

    Topics include:

    • [00:04:00] Why 75% of pitches Alex sees are Crypto + AI
    • [00:10:00] Why blockchain incentives are well-suited for labeling scarce data
    • [00:14:00] What’s broken in open-source model training—and how Web3 could fix it
    • [00:18:00] Agents in DeFi: useful or meme coin mania?
    • [00:21:00] How VCs vet AI x Crypto teams—and why founder ‘pivot mindset’ matters
    • [00:25:00] Practical ways VCs use LLMs for diligence and synthesis
    • [00:32:00] Daniel’s 3 pillars: Aggregation, Verification, and Self-Custody
    • [00:36:00] Do AI agents really need to spend cryptocurrency?
    • [00:44:00] Why economic ownership is crucial to decentralized AI
    • [00:48:00] Composability as a path to superintelligence
    • [00:55:00] What’s still broken: the “fuzzy verification” problem
    • [01:00:00] The underrated promise of modular data layers

    We close with a fun look at the modular vs. monolithic debate—Daniel makes the case for why the open, decentralized, and composable internet still has a shot.

    If you’re at Consensus and still in Toronto, swing by the AI Summit and say hello.

    Daniel Barabander:

    https://x.com/dbarabander

    Alex Odagiu:

    https://x.com/odagius

    And a big thanks to our partner, Vana, whose mission is to enable user-owned AI through user-owned data. Vana recently announced a collaboration with Flower Labs to build the world’s first user-owned foundation model.

    About Vana's collaboration with Flower:

    https://www.vana.org/posts/vana-flower-labs-partnership

    About Vana:

    https://linktr.ee/vanahq

    Vana on Twitter/X:

    https://x.com/vana

    Vana ecosystem: vana.com

    Subscribe to The People's AI on YouTube:

    https://www.youtube.com/channel/UCnLiYlJulQIcmvCjnVRYotw

    Jeff Wilser on Twitter/X:

    https://x.com/jeffwilser

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    1 時間 4 分
  • Why Federated Learning AI is the Key, w/ Nic Lane, co-founder of Flower Labs
    2025/04/23

    In this episode of The People’s AI, presented by Vana, we explore one of the most promising frontiers in artificial intelligence: federated learning.

    We speak with Nic Lane, co-founder and Chief Scientific Officer of Flower Labs and a professor at the University of Cambridge, to unpack why decentralized AI may not only be more ethical—but more effective—than centralized systems.

    We dive into:
    •Why centralized AI may soon hit a wall due to limited data access
    •How federated learning enables richer, more private, and more diverse datasets
    •The mechanics behind training large language models across global networks
    •Flower’s partnership with Vana to build Collective One, a new model powered by user-owned data
    •Real-world use cases: from healthcare to weather forecasting to robotics
    •Why decentralization isn’t just a principle—it might be a technical necessity

    Whether you’re a developer, investor, or just curious about where AI is headed, this episode offers a lucid, technical-yet-accessible look at the future of open source AI, data DAOs, and user-owned AI models.

    Subscribe on Apple, Spotify, or YouTube—and if you’re into crypto and AI, this is the conversation you don’t want to miss.

    For more: https://flower.ai/

    Presented by Vana, the open protocol for user-owned AI through user-owned data. Vana's vision is for user-owned AI through user owned-data. Its mission is to be the world's first open protocol for data sovereignty.

    https://linktr.ee/vanahq

    Vana on Twitter/X:

    https://x.com/vana

    Vana ecosystem: vana.com

    Vana at MIT Decentralized AI Summit, Builders Workshop

    Subscribe to The People's AI on YouTube:

    https://www.youtube.com/channel/UCnLiYlJulQIcmvCjnVRYotw

    Jeff Wilser on Twitter/X:

    https://x.com/jeffwilser

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    53 分

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