Even if AI turns out to be a hype cycle, getting a lot of clean energy could make it worth the hassle.
that CEO Mark Zuckerberg told staff last week that the land it was planning to build a new data center on was discovered to be the home of a rare bee species, which would have complicated the building process.to increase the amount of power a nuclear plant can direct to one of its data centers. It’s still allowed to use 300 megawatts from the Susquehanna plant but initially sought 480 megawatts.
Big tech companies have gone all-in on nuclear power as each prompting of their AI models requires boiling the ocean for energy. Large language models have to do more inference, or thinking, than a traditional search. But big tech has bet the farm on generative AI for their future growth potential—Zuckerberg has said he envisions a world in which social feeds areThe jury is still out on whether any of this investment in generative AI will bear fruit.
At the very least, all this investment in AI—capable of generating an image of Mario flying into the Twin Towers—could at least result in the U.S. having a lot more clean energy. Honestly, let’s make ChatGPT searches more inefficient if it means we counterintuitively can help the environment. It’d produce more good than the metaverse did.over existing solar and wind energy, but the appeal of nuclear is that it provides a consistent stream of energy without lumpiness.
Microsoft, Google, and others set big ambitions in previous years to become carbon-neutral, but have admitted that big investments in AI have set those goals back. Microsoft said earlier this year that itsArtificial IntelligenceArtificial IntelligenceArtificial IntelligenceChina’s People’s Liberation Army is using Llama 13B for military applications. That’s against the acceptable use policy, but there’s no way to put the AI back in the bottle.
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