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Illia Polosukhin: AI thesis, crypto x AI, and announcing the Delphi Labs x Near accelerator

The Delphi Podcast

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Training AI: Data and Ethics

This chapter explores the intricate processes of AI model training, emphasizing the importance of quality and curated data versus raw internet information. It discusses the ethical implications of biased data sources and the necessity for community engagement in data curation practices. Additionally, it highlights the evolving relationship between AI, copyright, and proprietary data in the context of modern technological advancements.

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