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Is there a sustainable model for AI factories?

Navigating the heavy freight of AI data processing
Editor's take: Investors usually hate airlines – they're capital-intensive, have high operating expenses, limited suppliers, and no way to differentiate with customers. How are AI factories any different?
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Google Gemini is not as good at analysis as its hype says, other AI models also struggle

The big picture: If there's one thing that generative AI is supposed to be good at, it's analyzing the written word. However, two studies suggest that this ability may have been overhyped. One study demonstrates that Gen AI struggles with understanding long-form books, while another shows that these models find answering questions about videos challenging. This is something companies should consider as they augment their workforce with Gen AI.
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$10,000 cooler designed with AI keeps Core i9-14900KF chilly at 7.5 GHz

Pushing the limits: Enthusiasts are always looking for an edge in the world of overclocking and extreme cooling. In this wild test, the team sought to determine whether advanced GenAI and 3D printing could help them squeeze out more performance from today's processors. To answer this, they built a liquid nitrogen (LN2) container in a whole new way – and arrived at some interesting conclusions.
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"Data centers in space" is a concept that could actually work, study finds

Forward-looking: Data centers, the crux of all things digital, are also enormous energy and water hogs. While the industry has been putting in place more sustainable operating practices, they don't touch the eco-friendly benefits offered by another idea: data centers that operate in space. A new European study has found that not only is this concept technically feasible, but it could also eventually deliver a significant return on investment.
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