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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