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301: From Microsoft China to Pundi AI — David Kay on AI, IP, and Data Rights

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Manage episode 508761194 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani 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://podcastplayer.com/legal.

David Kay (Chief Legal Officer, Pundi AI) brings four decades of experience at the intersection of law, technology, and Asia — from drafting China’s first copyright laws to advising Ethereum’s early board and now building tokenized data marketplaces at Pundi AI. We cover how AI, IP, and blockchain collide: data ownership, regulation gaps, China’s AI priorities, lessons from Web3 adoption cycles, and why Pundi AI wants data annotators fairly rewarded. David also explains legal landmines in AI training data, regulatory lag, and what decentralized AI legislation might need next.

Timestamps

  • [00:00] David’s journey: law, China, IP, Microsoft, Ethereum board → Pundi AI

  • [00:05] Early blockchain scene in China; why conferences disappeared, why AI is booming

  • [00:09] US vs China: crypto regulation, AI incentives, stablecoins & geopolitics

  • [00:13] Data annotation sweatshops → Pundi AI’s tokenized data marketplace model

  • [00:16] Who owns AI-generated content? Legal uncertainty & emerging lawsuits

  • [00:21] Anthropic’s class-action settlement & future royalty frameworks for AI data

  • [00:23] Pundi AI’s business model: on-chain data marketplace fees & incentives

  • [00:25] Legal risks: siloed regulations, cross-border conflicts, decentralized AI gaps

  • [00:28] AI disruption: law, counseling, jobs & the coming talent bottleneck

  • [00:32] Competition in data marketplaces & how Pundi AI differentiates

  • [00:34] Next 3–5 years: AI agents, ethics, universal basic income, human adaptation

  • [00:38] Roadmap: partnerships, platform growth, tokenized data adoption

Connect

https://pundi.ai/

https://www.linkedin.com/company/pundix/

https://www.linkedin.com/in/davidbenkay/

https://x.com/PundiAI

https://x.com/davidbenkay

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

304 episodes

Artwork
iconShare
 
Manage episode 508761194 series 3012250
Content provided by Sam Kamani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Kamani 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://podcastplayer.com/legal.

David Kay (Chief Legal Officer, Pundi AI) brings four decades of experience at the intersection of law, technology, and Asia — from drafting China’s first copyright laws to advising Ethereum’s early board and now building tokenized data marketplaces at Pundi AI. We cover how AI, IP, and blockchain collide: data ownership, regulation gaps, China’s AI priorities, lessons from Web3 adoption cycles, and why Pundi AI wants data annotators fairly rewarded. David also explains legal landmines in AI training data, regulatory lag, and what decentralized AI legislation might need next.

Timestamps

  • [00:00] David’s journey: law, China, IP, Microsoft, Ethereum board → Pundi AI

  • [00:05] Early blockchain scene in China; why conferences disappeared, why AI is booming

  • [00:09] US vs China: crypto regulation, AI incentives, stablecoins & geopolitics

  • [00:13] Data annotation sweatshops → Pundi AI’s tokenized data marketplace model

  • [00:16] Who owns AI-generated content? Legal uncertainty & emerging lawsuits

  • [00:21] Anthropic’s class-action settlement & future royalty frameworks for AI data

  • [00:23] Pundi AI’s business model: on-chain data marketplace fees & incentives

  • [00:25] Legal risks: siloed regulations, cross-border conflicts, decentralized AI gaps

  • [00:28] AI disruption: law, counseling, jobs & the coming talent bottleneck

  • [00:32] Competition in data marketplaces & how Pundi AI differentiates

  • [00:34] Next 3–5 years: AI agents, ethics, universal basic income, human adaptation

  • [00:38] Roadmap: partnerships, platform growth, tokenized data adoption

Connect

https://pundi.ai/

https://www.linkedin.com/company/pundix/

https://www.linkedin.com/in/davidbenkay/

https://x.com/PundiAI

https://x.com/davidbenkay

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

304 episodes

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