Description

Richard and Johanna from Data Guardians Network (D-GN) join Sam to discuss building a decentralized data infrastructure for AI training. They explain how D-GN turns human input into high-quality, traceable datasets, pays contributors in stablecoins, and solves the cost, quality, and bias problems plaguing AI. They also dive into scaling challenges, community building, and the future of AI + Web3.

Key Timestamps

• [00:00] Intro & founders’ journeys into Web3 + AI.

• [00:03] What D-GN is: decentralized, ethical AI training data.

• [00:04] The gap: expensive, slow, low-quality AI data pipelines.

• [00:06] Why stablecoins (USDT) over a volatile native token.

• [00:10] Diversity of contributors = less bias in AI models.

• [00:12] Customer base: enterprises, gov contracts, customizable datasets.

• [00:14] Guarding against synthetic data contamination.

• [00:17] Real-world missions: localizing driverless car data.

• [00:20] Risk: scaling into new industries fast enough.

• [00:22] North Star: contributors annotating data; goal of 1M+ by year-end.

• [00:26] Moat: network, enterprise pipeline, gamified contributor system.

• [00:28] Predictions: AI + blockchain integration will explode.

• [00:31] Overhyped trends: meme coins, GambleFi, early-stage hype cycles.

• [00:33] Quantum computing will reshape the industry.

• [00:38] Asks: partners aligned on vision, top talent hires, industry expansion.
  

Connect

https://www.dataguardians.network/

https://www.linkedin.com/company/data-guardians-network/

https://www.linkedin.com/in/johanna-cabildo-1217b4113/

https://www.linkedin.com/in/richardjohnson10/

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/