DescriptionRichard 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.Connecthttps://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/DisclaimerNothing 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/

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