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AI Czar David Sacks says American companies will learn efficiency techniques from China's DeepSeek AI model, but big AI data centers are still needed and scaling the biggest data centers is still an advantage

Tsarathustra

83,317 subscribers

360,750 次观看 • 1 年前 •via X (Twitter)

教育科学技术新闻政治

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11 条评论

Tsarathustra 的头像

Tsarathustra1 年前

Source (thanks to @curiousgangsta):

The Information 的头像

The Information1 年前

OpenAI is betting on a little-known startup to stay ahead of Elon Musk in the supercomputer race.

omni 的头像

omni1 年前

a.c.c.e.l.e.r.a.t.e

AI Leaks and News 的头像

AI Leaks and News1 年前

Algorithmic improvements do not invalidate the scaling hypothesis

jordan rothstein ☎️ 的头像

jordan rothstein ☎️1 年前

Compute has and always will be the hottest commodity in the AI space.

$Q*🍓on Ethereum 的头像

$Q*🍓on Ethereum1 年前

This is the best take yet, no time to waste!

Frank Thomas 的头像

Frank Thomas1 年前

Yeah prove it - I don't believe it. In one day credibility is gone. Chinese always do more with less. This is just another toy they can make better for 1000000x less.

Will $CAST KGeN 的头像

Will $CAST KGeN1 年前

Maybe we should just ask the AI to train itself with our data! But hey, at least with #PublicAI, we can all get in on the action and earn some rewards! 😂

MC 的头像

MC1 年前

Thanks for sharing

🇺🇦🇮🇱Путина нужно судить 的头像

🇺🇦🇮🇱Путина нужно судить1 年前

I couldn’t agree more!

Memo Sparkfield 的头像

Memo Sparkfield1 年前

When did US start naming czars? 🤬

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