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Why Data Self-Sovereignty Will (Fairly) Create Better AI, w/ Vana’s Creator Anna Kazlauskas

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Manage episode 469796697 series 3641934
Content provided by Jeff Wilser. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Wilser or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

AI is nothing without data. It doesn’t exist without it. It doesn’t get good without good data. It doesn’t get great without great data.

Right now, two major problems are colliding in the world of AI:

1. Data transparency – Most AI companies don’t disclose where they get their training data, leading to lawsuits and ethical concerns over how models are built.

2. Data scarcity – AI companies are running out of high-quality data. Much of the internet has already been scraped, and without fresh, high-quality sources, progress could stall.

In this episode of The People’s AI, presented by Vana, we sit down with the project's creator, Anna Kazlauskas. And we explore a solution to both problems: data self-sovereignty. Vana is building a marketplace for user-owned data, allowing individuals to control, contribute, and monetize their own data while helping build AI models that aren’t just competitive with centralized models—but potentially 10x better.

We break down:

• How AI companies currently source their data (and why it’s a problem)

• Why user-owned data could fuel the next breakthrough in AI

• The role of data DAOs and how they work

• The privacy-preserving mechanisms that allow users to contribute data securely

• How decentralization could make AI more powerful, fair, and sustainable

Vana isn’t just about fairness—it’s about building better AI. We dig into how data sovereignty could shift the balance of power in AI, giving individuals a stake in the models that shape the future.

Timestamps:

0:00 – Introduction: AI’s biggest data problem

2:00 – The hidden battle over AI training data

6:45 – What does “data sovereignty” actually mean?

12:30 – How decentralized data can create better AI

18:10 – What are Data DAOs, and how do they work?

25:00 – The economic model behind data ownership

30:45 – The privacy challenge: Can user data stay secure?

38:20 – The roadmap for decentralized AI’s future

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.

More on Vana:

https://linktr.ee/vanahq

Vana on Twitter/X:

https://x.com/vana

Anna Kazlauskas on Twitter/X:

https://x.com/anna_kazlauskas

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

10 episodes

Artwork
iconShare
 
Manage episode 469796697 series 3641934
Content provided by Jeff Wilser. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Wilser or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

AI is nothing without data. It doesn’t exist without it. It doesn’t get good without good data. It doesn’t get great without great data.

Right now, two major problems are colliding in the world of AI:

1. Data transparency – Most AI companies don’t disclose where they get their training data, leading to lawsuits and ethical concerns over how models are built.

2. Data scarcity – AI companies are running out of high-quality data. Much of the internet has already been scraped, and without fresh, high-quality sources, progress could stall.

In this episode of The People’s AI, presented by Vana, we sit down with the project's creator, Anna Kazlauskas. And we explore a solution to both problems: data self-sovereignty. Vana is building a marketplace for user-owned data, allowing individuals to control, contribute, and monetize their own data while helping build AI models that aren’t just competitive with centralized models—but potentially 10x better.

We break down:

• How AI companies currently source their data (and why it’s a problem)

• Why user-owned data could fuel the next breakthrough in AI

• The role of data DAOs and how they work

• The privacy-preserving mechanisms that allow users to contribute data securely

• How decentralization could make AI more powerful, fair, and sustainable

Vana isn’t just about fairness—it’s about building better AI. We dig into how data sovereignty could shift the balance of power in AI, giving individuals a stake in the models that shape the future.

Timestamps:

0:00 – Introduction: AI’s biggest data problem

2:00 – The hidden battle over AI training data

6:45 – What does “data sovereignty” actually mean?

12:30 – How decentralized data can create better AI

18:10 – What are Data DAOs, and how do they work?

25:00 – The economic model behind data ownership

30:45 – The privacy challenge: Can user data stay secure?

38:20 – The roadmap for decentralized AI’s future

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.

More on Vana:

https://linktr.ee/vanahq

Vana on Twitter/X:

https://x.com/vana

Anna Kazlauskas on Twitter/X:

https://x.com/anna_kazlauskas

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

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