The Delphi Podcast
Ben Fielding: Gensyn’s Polar Opposite Architecture vs AI Data Centers, Fueling an AI-Native Internet, Open vs. Closed Source AI and RL Swarm
Mar 31, 2025
Ben Fielding, co-founder of Gensyn Network and innovator in decentralized blockchain-based compute for AI, discusses the future of machine learning. He explores the shift from centralized to decentralized data centers, emphasizing horizontal scaling for efficiency. Fielding introduces RL Swarm, a system enabling peer-to-peer reinforcement learning, and delves into the benefits of open-source AI over closed models. The conversation highlights the philosophical impact of AI development and envisions a democratized, personalized internet experience.
01:18:26
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Quick takeaways
- Gensyn Network's decentralized infrastructure transforms machine learning by leveraging underutilized hardware, reducing costs compared to centralized data centers.
- The shift from vertical to horizontal scaling in AI computing systems enables sustainable and efficient workload distribution across diverse devices.
Deep dives
Decentralized Compute Networks
Jensen Network is designed as a decentralized blockchain-based computing network that aggregates underutilized hardware for deep learning model training. This infrastructure allows users to leverage various devices, from smartphones to data centers, for efficient machine learning tasks without being limited to centralized resources. By tapping into existing hardware, Jensen aims to create a scalable and trustworthy platform for executing machine learning operations, which can significantly lower costs compared to traditional compute solutions. The network's ability to utilize heterogeneous hardware represents a shift towards more inclusive computing resources for AI development.
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