Web3 AI Marketplace with AIOZ Network
In this episode, our guest, Michel, VP of Global Partnerships and Investment at AIOZ Network, shares insights on AI, decentralized storage, and streaming solutions powered by blockchain. Join us as we explore the future of decentralized networks and the role AIOZ is playing in driving this change.
Co-produced by RSS3 [https://rss3.io].
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CHAPTERS
00:00 Intro
* Introduction to Open Podcast and the theme of today’s episode.
* Host welcomes Michel, VP of Global Partnerships at AIOZ Network.
00:29 Michel’s Journey from Web2 to Web3
* Michel shares his background, starting in traditional tech and consulting with Alibaba, then transitioning to Web3.
* His passion for decentralized technology and blockchain innovations.
* Michel’s role at AIOZ Network and his mission to drive growth in the Web3 space.
02:00 Overview of AIOZ Network
* AIOZ Network as a decentralized platform for Web3 AI, storage, and streaming.
* Discussion on how AIOZ empowers decentralized AI, providing affordable, secure, and decentralized solutions.
* The importance of decentralized storage for developers, especially for NFTs and dApps.
03:30 The Future of Decentralized Streaming
* AIOZ’s content delivery network (CDN) powered by blockchain, revolutionizing how media is streamed globally.
* Explanation of edge computing and peer-to-peer networks in content delivery.
05:00 AIOZ’s Decentralized AI Platform
* Introduction to decentralized AI through AIOZ Network.
* How AIOZ is enabling decentralized AI computation and storage.
* AI competition now accessible globally through decentralized nodes.
07:30 Collaborations with Universities and Research Institutions
* AIOZ’s partnerships with global universities, including Tsinghua University, for AI and drone research labs.
* Expanding the AI research ecosystem through decentralized infrastructure.
10:00 Building the Future of Web3 with AIOZ
* Michel’s vision of Web3 and how AIOZ aims to revolutionize AI, storage, and streaming.
* The roadmap for launching W3AI, AIOZ’s decentralized AI platform.
12:00 W3AI Platform and AI Marketplace
* Introduction to W3AI and its two-layer architecture: infrastructure for AI computation and the AI marketplace for models and dApps.
* Michel explains how W3AI allows developers to contribute and monetize AI models through the decentralized marketplace.
14:30 Incentivizing Quality in AI Models
* Discussion on the W3AI reputation system, where high-quality AI models are rewarded and poor models face penalties.
* How this system encourages niche AI development, ensuring better solutions for specific market needs.
16:30 Privacy and Decentralized Federated Learning
* How AIOZ is leveraging decentralized federated learning for AI model training while maintaining user data privacy.
* Michel introduces privacy-preserving technologies, such as homomorphic encryption, ensuring sensitive data remains protected.
18:30 Homomorphic Encryption for Data Privacy
* Explanation of homomorphic encryption and how it allows for secure AI model training using sensitive data.
* Real-world examples: medical records and financial data being used without exposing private information.
20:00 Closing Remarks and Future Plans for AIOZ
* Michel shares insights into the future of AIOZ and upcoming projects, including the launch of W3AI.
* How listeners can engage with AIOZ, including upcoming events, hackathons, and collaborations with partners like Cardano.
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