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ETH Denver Crypto x AI Panel: Casey Caruso, Colin Gagich and Vassilis Tziokas

The Delphi Podcast

CHAPTER

Decentralized vs Distributed AI Systems: Nuances and Future Trends

The chapter discusses the distinction between decentralized and distributed AI systems, emphasizing the importance of functionality over decentralization obsession. It explores retaining IP in a decentralized web 3 industry, introduces zero-party data for IP monetization, and debates data ownership challenges. Additionally, it delves into data significance in AI models, specialized model building with small datasets, differentiation among tech companies, and predicting inflection points for decentralized AI and compute integration.

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