283: Powering Ethical AI with Web3 — D-GN’s Decentralized Data Network
Description
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
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