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Actual Computer CEO Tom Lynch explains why data centers alone can't keep up with exploding AI inference demand: "In order to meet demand, in order to keep the curve going of how many tokens people want, you have to plug them in locally. You have to do both. You...

14,323 次观看 • 10 天前 •via X (Twitter)

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James Fishback says Byron Donalds is LYING about data centers! Says this has nothing to do with China and it’s all about GREED. “There are 4,200 data centers in the United States. There are 470 in China. We've already won the AI war. My grandfather was a computer science major at Florida Atlantic University about 30 minutes south of here in Boca. And he would tell you that in the 1970s and 80s, computers were the size of Costco warehouses and now those same computers fit in our pocket. Why are we building an AI data center that in five years is going to be obsolete, is going to be one one hundredth of the size. And so I fear it's because a lot of the big land developers want to buy up cheap land, flip it for the next AI data center. So it's a greedy thing. It's a greed thing. And I don't want that to happen in our state because you know what? If you buy something and you screw up, you can return it. You could sell it. If you pave over citrus groves or the Everglades or a wetlands to build the data center, you cannot easily undo that. And so I don't want our farmers, I don't want our rural towns to be run roughshod over. My opponent, Byron Donalds, will say, well, what about the AI data center? Don't they have property rights? And I would say to him, what about the property rights of the people who live a hundred feet from the data center? Where there is EMF, where there is audible noise pollution, where there is the potential even for small radioactive waves? What happens in that case? Do they not have property rights? They don't have to live next to something like that.”

Chris Nelson 🏝️🇺🇸

27,295 次观看 • 1 个月前

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,276 次观看 • 6 个月前