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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

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Tsarathustra

83,317 subscribers

360,750 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von Tsarathustra
Tsarathustravor 1 Jahr

Source (thanks to @curiousgangsta):

Profilbild von The Information
The Informationvor 1 Jahr

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

Profilbild von omni
omnivor 1 Jahr

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

Profilbild von AI Leaks and News
AI Leaks and Newsvor 1 Jahr

Algorithmic improvements do not invalidate the scaling hypothesis

Profilbild von jordan rothstein ☎️
jordan rothstein ☎️vor 1 Jahr

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

Profilbild von $Q*🍓on Ethereum
$Q*🍓on Ethereumvor 1 Jahr

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

Profilbild von Frank Thomas
Frank Thomasvor 1 Jahr

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.

Profilbild von Will $CAST KGeN
Will $CAST KGeNvor 1 Jahr

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! 😂

Profilbild von MC
MCvor 1 Jahr

Thanks for sharing

Profilbild von 🇺🇦🇮🇱Путина нужно судить
🇺🇦🇮🇱Путина нужно судитьvor 1 Jahr

I couldn’t agree more!

Profilbild von Memo Sparkfield
Memo Sparkfieldvor 1 Jahr

When did US start naming czars? 🤬

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