Why can ChatGPT write your emails, but robots still can’t fold your laundry? The answer isn’t hardware—it’s data.

On today's episode of THE PEOPLE'S AI, presented by Vana, we speak with Bayley Wang, co-founder of PrismaX, a startup building the “base layer” for real-world robotics.

PrismaX connects user-generated video data—like clips of people folding sheets or restocking shelves—with robotics companies that are desperate for this kind of input. Think of it as the data DAO for training robots.

We explore the real reasons robotics has lagged behind generative AI, why teleoperation is suddenly a $50/hour job, and how decentralization could be the missing ingredient in bringing useful robots into everyday life.

Topics include:

– Why software, not hardware, is holding robotics back (0:45)

– The failure of rule-based systems in real-world AI (3:56)

– How videos of everyday tasks are used to train robots (19:15)

– Incentive models: from passive video uploads to paid robot control (17:18–27:06)

– Web3 infrastructure: tokens, DAOs, and decentralized data marketplaces (28:52)

– The robot-in-every-home future (36:23)

PrismaX recently came out of stealth at the A16Z Demo Day, and in this conversation, we unpack what that launch means and what’s next for robotics powered by real-world data and open protocols.

Want to get involved? Learn more at PrismaX.ai

And a big thanks to our partner, Vana, whose mission is to enable user-owned AI through user-owned data -- starting with an ecosystem of Data DAOs and decentralized data marketplaces.

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

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

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