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🚨INSIDE CORTEX: Tesla massive AI supercluster at its HQ in Austin. Cortex is designed to solve real-world AI, powering projects like FSD, Optimus, and beyond.

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Muskonomy

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51,401 просмотров • 11 месяцев назад •via X (Twitter)

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There is a reason why $TSLA is building a 750,000+ sq ft cortex 2 super computer at Giga Texas, it’s because of AUTONOMY. The Robotaxi and Optimus robot will both need neural networks to work and massive training data is needed to run those two businesses efficiently and effectively. Tesla will have superior compute power and data compared with its peers. These investments in compute power will pay DIVIDENDS in the near future. Many people still aren’t aware that Tesla is building Cortex. This is ALPHA.
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There is a reason why $TSLA is building a 750,000+ sq ft cortex 2 super computer at Giga Texas, it’s because of AUTONOMY. The Robotaxi and Optimus robot will both need neural networks to work and massive training data is needed to run those two businesses efficiently and effectively. Tesla will have superior compute power and data compared with its peers. These investments in compute power will pay DIVIDENDS in the near future. Many people still aren’t aware that Tesla is building Cortex. This is ALPHA.

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After getting all the fresh data from the Tesla Robotaxi 1st few days, it seems Cortex 1 is busy churning thorough it all! its a 6 cooling fan day today at Giga Texas! Tesla AI is really cooking today!
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It’s not going to be easy competing against Tesla’s Optimus. Just like no one’s been able to match Tesla’s FSD, this will be the same story. Only this time, it’s going to be even harder. Bc Tesla has everything integrated from AI training to hardware to real-world data, and Optimus is powered by the same FSD tech that’s already mastering real-world autonomy. No other company is this vertically integrated, it’s just that Tesla makes it look easy.

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Elon Musk: The only way to solve full self-driving properly is to solve real-world AI. ”What are the road networks designed to work with? They're designed to work with a biological neural net, our brains, and with vision, our eyes. And so, in order to make it work with computers, you basically need to solve real-world AI and vision. We need cameras and silicon neural nets in order to have self-driving work for a system that was designed for eyes and biological neural nets. I guess when you put it that way, it's quite obvious that the only way to solve full self-driving is to solve real-world AI and sophisticated vision.” TED Interview, April 14, 2022

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🚨EXCLUSIVE: This is what it’s like inside a Tesla Robotaxi

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🚨 Tesla surpasses 11B FSD miles tonight, a huge FSD milestone, extending its real-world data dominance powering driverless made-in-Texas Robotaxis: the nation's most cost efficient and first SAE Level 4 system legally certified for paid rides without radar or lidar.

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