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Web3, Machine Learning, and the Future of Collective Intelligence with Jean Herelle from Crunch Lab

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Lam Trinh에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lam Trinh 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this 61st episode, Jean Herelle, CEO of Crunch Lab, shares his journey into Web3 and machine learning. Jean discusses the challenges of applying machine learning to financial markets and how it led to the creation of Crunch, a machine learning DePIN with thousands of engineers and PhDs. Crunch enables companies to build better models at a lower cost by using an obfuscated version of their data. The platform also allows individuals to contribute by building new kinds of time series, generating trading signals using LLMs.The conversation explores the potential of Web3 to create trust and ownership, as well as new coordination mechanisms. Jean shares his insights on the evolving landscape of Web3 and machine learning, including the importance of privacy and community-driven innovation. He also touches on the future of work, where AI agents and robots may play a significant role.⌛ Timestamps:00:00:00 Episode trailer00:00:28 Introduction and self-introduction of Jean @ Crunch00:01:36 Jean’s background in econometrics and entry into crypto00:03:29 Shifting from computer science to machine learning00:04:18 First ML hackathon and risk modeling for insurance00:09:50 Jean's 1st exposure to Bitcoin and early trading experience 00:20:51 Jean shares his hobbies and how he spends time outside of work00:23:56 Crunch: A machine learning DePIN powering decentralized intelligence00:37:53 Crunch's collective intelligence model00:56:44 Using differential privacy for secure data sharing01:00:41 Jean explains Crunch’s incentive and reward system01:03:55 Crunch is building on Solana01:05:46 The team behind Crunch01:07:10 Challenges that Crunch team faces01:10:03 What is the future of Web3 and machine learning? 01:14:07 Will robots outnumber human workers in the future?01:19:43 Advice for aspiring Web3 and ML entrepreneurs01:22:11 Where to follow Jean and Crunch01:23:20 Closing remarks and next episode previewFollow Jean and Crunch: Crunch website: https://www.crunchdao.com/Crunch Twitter: https://x.com/crunchDAOCrunch Discord: https://discord.gg/y2Re2hKu9nMy social media: Twitter/X: ⁠https://www.twitter.com/LamWeb3⁠ LinkedIn: ⁠https://www.linkedin.com/in/lamweb3/⁠Website: ⁠https://lamtrinh.xyz⁠My old article about the 2-3 prevailing narratives of 2024-2025: https://substack.com/home/post/p-143541984 If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

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84 에피소드

Artwork
icon공유
 
Manage episode 468075903 series 3511671
Lam Trinh에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lam Trinh 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this 61st episode, Jean Herelle, CEO of Crunch Lab, shares his journey into Web3 and machine learning. Jean discusses the challenges of applying machine learning to financial markets and how it led to the creation of Crunch, a machine learning DePIN with thousands of engineers and PhDs. Crunch enables companies to build better models at a lower cost by using an obfuscated version of their data. The platform also allows individuals to contribute by building new kinds of time series, generating trading signals using LLMs.The conversation explores the potential of Web3 to create trust and ownership, as well as new coordination mechanisms. Jean shares his insights on the evolving landscape of Web3 and machine learning, including the importance of privacy and community-driven innovation. He also touches on the future of work, where AI agents and robots may play a significant role.⌛ Timestamps:00:00:00 Episode trailer00:00:28 Introduction and self-introduction of Jean @ Crunch00:01:36 Jean’s background in econometrics and entry into crypto00:03:29 Shifting from computer science to machine learning00:04:18 First ML hackathon and risk modeling for insurance00:09:50 Jean's 1st exposure to Bitcoin and early trading experience 00:20:51 Jean shares his hobbies and how he spends time outside of work00:23:56 Crunch: A machine learning DePIN powering decentralized intelligence00:37:53 Crunch's collective intelligence model00:56:44 Using differential privacy for secure data sharing01:00:41 Jean explains Crunch’s incentive and reward system01:03:55 Crunch is building on Solana01:05:46 The team behind Crunch01:07:10 Challenges that Crunch team faces01:10:03 What is the future of Web3 and machine learning? 01:14:07 Will robots outnumber human workers in the future?01:19:43 Advice for aspiring Web3 and ML entrepreneurs01:22:11 Where to follow Jean and Crunch01:23:20 Closing remarks and next episode previewFollow Jean and Crunch: Crunch website: https://www.crunchdao.com/Crunch Twitter: https://x.com/crunchDAOCrunch Discord: https://discord.gg/y2Re2hKu9nMy social media: Twitter/X: ⁠https://www.twitter.com/LamWeb3⁠ LinkedIn: ⁠https://www.linkedin.com/in/lamweb3/⁠Website: ⁠https://lamtrinh.xyz⁠My old article about the 2-3 prevailing narratives of 2024-2025: https://substack.com/home/post/p-143541984 If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

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84 에피소드

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