25min chapter

a16z Podcast cover image

AI x Crypto

a16z Podcast

CHAPTER

Decentralizing AI: Challenges and Innovations

This chapter explores the technical hurdles of implementing decentralized frameworks in AI and cryptography, particularly focusing on fully homomorphic encryption and its limitations. It discusses verification processes like ZKML and the potential creation of decentralized marketplaces for data contributions, aiming to enhance machine learning model performance. The conversation highlights the intersection of AI and crypto, examining both opportunities and risks, including the use of machine learning to generate secure code and improve verification processes.

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