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@Gar1114

Beigetreten Mayıs 2009
971 Folgt800 Follower
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
If Tesla offered this SUV lineup in the US: • Model Y (188" long, two rows) • Model Y L (196" long, three rows) • Cyber SUV (~210" length, same as GMC Yukon, three rows) This would be one hell of an all-electric self-driving capable SUV lineup that would serve the needs of families of pretty much all sizes.
Sawyer Merritt tweet media
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
German TV reporter testing @Tesla FSD (Supervised) V14 in the country as public transport in rural areas: "I was genuinely impressed. In the situations where we experienced the system, it worked perfectly and safely. I hadn't expected that. Even in the bad weather conditions in the Eifel region. In many cases, it reacted at least as well as a human driver, if not better. If Tesla is ever allowed to roll out this system nationwide in Germany, I think it will have a major impact on mobility. And that will only be the beginning of some very significant changes in transportation..."
Gunther Best@Rehtnug62

German TV shows how Tesla is testing FSD in real world to support public transport in rural areas. Impressive! 👏👍 youtube.com/watch?v=hfjVGk… By the way: I myself had a fsd test ride in Frankfurt, Germany on March 24th - flawless! 🤗👏💪

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Tesla
Tesla@Tesla·
Just squeezing through
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Elon Musk
Elon Musk@elonmusk·
@LeahLibresco Something way cooler than a minivan is coming
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Elon Musk
Elon Musk@elonmusk·
@dvorahfr We will pause moving forward with this until further consideration
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Elon Musk
Elon Musk@elonmusk·
Optimus
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Lex Fridman
Lex Fridman@lexfridman·
Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality
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Elon Musk
Elon Musk@elonmusk·
Given that several companies make advanced chips, but no companies have ever made fully reusable rockets or achieved SpaceX scale, I think Starship is harder, but we shall see. Terafab will technically be two fabs, each making only one chip design. This greatly simplifies process flow and allows more linear, adjacent movement of the FOUP. A super high production rate allows us to test very quickly what steps can be deleted, simplified or sped up, even after the design is fixed. Current fabs are extremely conservative, operating on rigid historical heuristics, which are mostly, but not all, correct. Anything that is a rate limiter at the machine level means that machine will be redesigned, unless already at limit of physics. Having new iterations of a chip design be produced every day in the research fab (with <7 day lag) means being able to try out many high risk, high return ideas. Etc In any event, there is no other way to reach extreme scale, so either we make Terafab or we will be stuck at the ~20% chip/memory output growth per year of the current industry.
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Elon Musk
Elon Musk@elonmusk·
No, that’s just the little advanced technology fab, where we will be iterating on chip designs. We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there. Several locations for Terafab are under consideration. It needs thousands of acres and over 10GW of power at full scale.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
It’s incredible what @elonmusk has built over the last ~25 years. New video just dropped:
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Ashok Elluswamy
Ashok Elluswamy@aelluswamy·
Can’t have a more exciting vision for the future!! Come join us to make this the reality. To the stars, let’s go ✨
Tesla@Tesla

TERAFAB: the next step to becoming a galactic civilization Together with @SpaceX & @xAI, we're building the largest chip manufacturing facility ever (1TW/year) – combining logic, memory & advanced packaging under one roof. To harness as much power as possible from the Sun, we need to send 100 million tons of solar capture into space – per year. This requires massive scale. – Capability to launch millions of tons of mass into orbit – Solar-powered AI satellites – Millions of @Tesla_Optimus robots to help build it out All of these need chips: 100-200GW of chips for Optimus alone, plus terawatts for solar-powered AI satellites. That's more than all the chip manufacturers in the world combined can provide today, or even by 2030 (based on projected production growth). We're building TERAFAB to close the gap between today’s chip production & the future's demand – a future among the stars terafab.ai

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Elon Musk
Elon Musk@elonmusk·
Formal announcement of the TERAFAB project, which will be done jointly by @SpaceX and @Tesla, tonight around 8pm CT. Livestream on 𝕏. The goal is to produce over a TERAWATT of compute per year (logic, memory & packaging) with ~80% for space and ~20% for the ground.
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Elon Musk
Elon Musk@elonmusk·
I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country
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Elon Musk
Elon Musk@elonmusk·
@pbeisel Probably more like 160k wafers/month, factoring in yield
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Elon Musk
Elon Musk@elonmusk·
@DBurkland @pbeisel It’s in testing right now. Wide release in a few weeks.
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