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Jan 2025
8m 43s

'Godfather of AI' Backs Musk Lawsuit, Da...

Perplexity
About this episode

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In this episode of Discover Daily, we delve into the latest developments in the OpenAI lawsuit, where AI pioneer Geoffrey Hinton has thrown his support behind Elon Musk's legal challenge. The episode explores the controversial transformation of OpenAI from a nonprofit to a for-profit entity, its skyrocketing $157 billion valuation, and Microsoft's involvement in this high-stakes legal battle that could reshape the future of artificial intelligence development.

We look at the growing crisis of AI data centers' impact on the U.S. power grid, revealing how these facilities are causing severe power distortions in residential areas within 20 miles of their operations. The episode uncovers alarming findings about household appliance damage, increased fire risks, and the projected doubling of electricity demand from data centers, which could force utilities to dramatically increase power generation by up to 26% by 2028.

The episode culminates with a fascinating journey back to 1925, examining the remarkably accurate predictions of British scientist Archibald Montgomery Low about life in 2025. Known as the "Father of Radio Guidance Systems," Low correctly anticipated numerous modern technologies we take for granted today, including radio alarm clocks, personal communication devices, and renewable energy sources. His visionary work in radio guidance systems, early television technology, and unmanned aerial vehicles demonstrates how past innovations continue to influence our present technological landscape.

From Perplexity's Discover Feed:

https://www.perplexity.ai/page/godfather-of-ai-backs-musk-law-vVxGc22LT7WynuGy4NHrnw

https://www.perplexity.ai/page/data-centers-distort-electric-a163ptZAQa.wFvp85ZIG6w

https://www.perplexity.ai/page/2025-predictions-from-1925-BFLMYjH0RZ61GB4StcY3NA

Perplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you’re interested in.

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