Solving the AI energy crisis (Changelog Interviews #652)
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Decentralized AI and Distributed Training Opportunities
This chapter explores the evolving landscape of distributed training in AI, focusing on monetization strategies through compute contributions and token earnings. It highlights the emergence of Jensen, a decentralized machine learning network, and discusses significant investments in data centers and the implications for the AI industry. The conversation emphasizes the relationship between AI demand and the energy sector, touching on the transformation of data centers and the increasing need for skilled professionals in this burgeoning field.
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Transcript
