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A tartalmat a Jeff Wilser biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff Wilser vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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How Data DAOs Empower You and Your Data, w/ the Founders of DLP Labs and Asterisk DAO

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Manage episode 473656435 series 3641934
A tartalmat a Jeff Wilser biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff Wilser vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

In this episode of The People’s AI, presented by Vana, we explore the frontier of Data DAOs — decentralized projects that empower people to take control of their data and get rewarded when it’s used to train AI.

Our data is everywhere—sleep tracked by Oura rings, heart rates logged by smartwatches, comments posted on Reddit, even the layout of our homes as mapped by Roombas. Until now, most of that data has been hoovered up by tech giants, often without our knowledge or consent, and then used to train AI models. Data DAOs -- part of the Vana ecosystem -- flip that script. They allow us to contribute our data voluntarily, protect our privacy, and get compensated in return.

We feature two real-world examples of this in action. First, we speak with Veronica Kirin of Asterisk DAO (08:25), which aims to correct the long-standing gender bias in medical research by creating a privacy-preserving pool of non-reproductive women’s health data. We dig into the history of how women were excluded from clinical trials until as recently as 1993 (10:01), how Asterisk plans to bring this missing data to clinicians and AI developers, and how tokenization lets women “vote” on their own healthcare outcomes for the first time (19:18). Veronica also explains their phased rollout: the MVP app (23:32), future plans to integrate wearables (21:45), and AI tools that surface personalized trends and emotional insights over time (17:17).

Next, we talk to Ryan Kuhel, founder of DLP Labs (32:23), which is turning car telemetry data—everything from battery life to braking patterns—into a valuable asset for drivers. Ryan explains how drivers can join DLP’s “data liquidity pool,” contributing their vehicle data and getting rewarded in tokens. We break down who actually uses car data (39:41)—battery companies, insurance firms, city planners—and why most drivers don’t realize their data is already being monetized without them. Ryan also shares insights from DLP’s explosive growth after launch (45:23), how it ties into the Vana ecosystem (55:46), and how this model could extend to self-driving car training, ride-share companies in emerging markets, and beyond.

To learn more or get involved:

• Asterisk DAO: asteriskdao.xyz

• DLP Labs: dlplabs.ai

ABOUT VANA:

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

The People's AI on Twitter/X:

https://x.com/The_Peoples_AI

Subscribe to The People's AI on YouTube:

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

Jeff Wilser on Twitter/X:

https://x.com/jeffwilser

  continue reading

19 epizódok

Artwork
iconMegosztás
 
Manage episode 473656435 series 3641934
A tartalmat a Jeff Wilser biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff Wilser vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

In this episode of The People’s AI, presented by Vana, we explore the frontier of Data DAOs — decentralized projects that empower people to take control of their data and get rewarded when it’s used to train AI.

Our data is everywhere—sleep tracked by Oura rings, heart rates logged by smartwatches, comments posted on Reddit, even the layout of our homes as mapped by Roombas. Until now, most of that data has been hoovered up by tech giants, often without our knowledge or consent, and then used to train AI models. Data DAOs -- part of the Vana ecosystem -- flip that script. They allow us to contribute our data voluntarily, protect our privacy, and get compensated in return.

We feature two real-world examples of this in action. First, we speak with Veronica Kirin of Asterisk DAO (08:25), which aims to correct the long-standing gender bias in medical research by creating a privacy-preserving pool of non-reproductive women’s health data. We dig into the history of how women were excluded from clinical trials until as recently as 1993 (10:01), how Asterisk plans to bring this missing data to clinicians and AI developers, and how tokenization lets women “vote” on their own healthcare outcomes for the first time (19:18). Veronica also explains their phased rollout: the MVP app (23:32), future plans to integrate wearables (21:45), and AI tools that surface personalized trends and emotional insights over time (17:17).

Next, we talk to Ryan Kuhel, founder of DLP Labs (32:23), which is turning car telemetry data—everything from battery life to braking patterns—into a valuable asset for drivers. Ryan explains how drivers can join DLP’s “data liquidity pool,” contributing their vehicle data and getting rewarded in tokens. We break down who actually uses car data (39:41)—battery companies, insurance firms, city planners—and why most drivers don’t realize their data is already being monetized without them. Ryan also shares insights from DLP’s explosive growth after launch (45:23), how it ties into the Vana ecosystem (55:46), and how this model could extend to self-driving car training, ride-share companies in emerging markets, and beyond.

To learn more or get involved:

• Asterisk DAO: asteriskdao.xyz

• DLP Labs: dlplabs.ai

ABOUT VANA:

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

The People's AI on Twitter/X:

https://x.com/The_Peoples_AI

Subscribe to The People's AI on YouTube:

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

Jeff Wilser on Twitter/X:

https://x.com/jeffwilser

  continue reading

19 epizódok

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