On this episode of the Unleashing DePIN Podcast, host Tyler Boscolo is joined by Jean from CrunchDAO to discuss the innovative ways Crunch is utilizing Web3 and DePIN to enhance machine learning. Jean shares his background in econometrics, statistics, and computer science, and the journey of Crunch from its early days of organizing hackathons to becoming a decentralized powerhouse in the ML industry. The conversation dives deep into how Crunch outperforms traditional internal teams, the importance of keeping data secure and anonymized with differential privacy, and the extensive use cases ranging from finance to energy prediction. Jean also introduces a new product, Pi, and shares exciting details about their forthcoming white paper. With over 7,000 ML engineers already on their platform, Crunch is pushing the boundaries of what's possible in machine learning through their decentralized approach. Don't miss out on the innovative future of ML!
00:00 Introduction to the Podcast
00:50 Guest Introduction and Background
01:03 Early Career and First Ventures
02:32 Building Crunch: From Hackathons to a Decentralized Network
03:13 Crunch's Unique Approach and Services
04:48 Challenges and Evolution in Machine Learning
09:05 Coordination and Blockchain Technology
11:11 The Role of Data and Security in Crunch
16:07 Community and Growth Metrics
18:00 Upcoming White Paper and Future Plans
22:47 Decentralization and Collaboration
25:49 Introducing Pi: A New Way to Harvest Collective Intelligence
29:50 Roadmap and Final Thoughts
31:45 Closing Remarks and How to Get Involved
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