loo

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loo

loo

@loo_here

provider of exit liquidity, sonically driven

Beigetreten Mart 2018
1.7K Folgt1.7K Follower
loo
loo@loo_here·
@elonmusk But spotting typos is like a hobby
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loo
loo@loo_here·
@CryptoWizardd Missed 2017 but 2021 was legendary. 2024 was great too. Question is, will we ever get those conditions again?
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Tesla
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
Tesla@Tesla

Announcing TERAFAB: the next step towards becoming a galactic civilization x.com/i/broadcasts/1…

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loo
loo@loo_here·
@jack Can’t believe it’s been 20 years
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loo
loo@loo_here·
@elonmusk @mark_k To err is human though? Should be optional imo.
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Elon Musk
Elon Musk@elonmusk·
@mark_k We should automatically proofread and offer suggestions with Grok
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Mark Kretschmann
Mark Kretschmann@mark_k·
𝕏 has removed the "Proofread" feature, which was available in the web UI when you clicked the Grok button while writing a post! Instead, clicking the Grok button now opens an image gen feature. The "proofread" feature was useful. Is it a victim of the anti-AI crusade? 🤨
Mark Kretschmann tweet media
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Veee
Veee@vikktorrrre·
who made crypto twitter more popular?
Veee tweet mediaVeee tweet mediaVeee tweet mediaVeee tweet media
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Polymarket
Polymarket@Polymarket·
BREAKING: Cyberattack against American breathalyzer test company locks out drivers across 45 states.
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Coinfessions
Coinfessions@coinfessions·
I work for a decently sized crypto project and have no clue what I'm doing.
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Elon Musk
Elon Musk@elonmusk·
@jonstewart Not as good as you! Stop being so humble.
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Elon Musk
Elon Musk@elonmusk·
@pbeisel I am a huge admirer of Nvidia and Jensen btw. That market cap is well-deserved. SpaceX AI and Tesla expect to continue ordering Nvidia chips at scale.
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phil beisel
phil beisel@pbeisel·
Tesla’s forthcoming AI5 uses a half-reticle design, which is crucial for yield. A reticle defines the imaging area of a lithography machine, fitting two chips per shot effectively doubles yield. This means the Tesla chip design team had to carefully manage die features, for instance dropping the older ISP (and classic GPU) to make room for more AI cores. By contrast, NVIDIA’s Blackwell fills nearly a full reticle, making it a single-reticle design. If Tesla hits its compute and efficiency targets with AI5 in this half-reticle format, it’s almost like cutting fab requirements in half. And this has a big impact on Terafab, especially if it carries forward for AI6, AI7, etc.
phil beisel tweet media
phil beisel@pbeisel

Terafab may be the most essential vertical integration Tesla has ever undertaken— and it is truly non-optional. It will take years to build and will test even Elon’s speedrunning abilities to the limit, but that won’t stop him from trying. The breakthrough likely lies in overhauling the overall facility’s cleanroom model. By moving wafers in sealed pods with localized micro-environments, the fab no longer needs a monolithic ultra-clean space. Elon’s line about “eating cheeseburgers and smoking cigars” on the fab floor isn’t silly, it’s the practical reality of a radically simpler, cheaper, faster approach that could finally change the economics of chipmaking. This is all forced by the brutal “pinch” in chip supply. Tesla must produce on the order of 100–200 billion AI chips per year just to saturate its roadmap. That volume powers: FSD cars & Robotaxis (tens of millions of vehicles needing AI5 inference for near-perfect autonomy), Physical Optimus (scaling from thousands today to millions per year, each requiring AI5/AI6-level compute), Digital Optimus (the new xAI-Tesla software agents for digital/office automation, running massive inference clusters), Space-based data centers (AI7/Dojo3 orbital compute for GW-scale training and inference beyond Earth limits). AI5 delivers the ~10× leap for vehicles and early robots; AI6 shifts focus to Optimus + terrestrial DCs; AI7 goes orbital. No external foundry (TSMC, Samsung, etc.) can deliver that scale or timeline— hence the Terafab launch. Without it, the entire robotics + autonomy future hits a brick wall. Terafab isn’t optional; it’s the only way forward.

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loo
loo@loo_here·
@IncomeSharks @cryptoforall7 I saw the post and scrolled up and was disappointed. I thought I was in for some legit retirement planning advice
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IncomeSharks
IncomeSharks@IncomeSharks·
Quickest way to spot AI is with em dashes "-" Quickest way to spot engagement slop is questions "?" If you mute both your feed probably returns to normal honestly.
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IncomeSharks
IncomeSharks@IncomeSharks·
@GemRadarX I can't even tell if this is serious or a perfect example of what I'm talking about. 😂
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loo
loo@loo_here·
@RaoulGMI I'd second that. FSD is game changing. Did you try conversing with Grok during your drives?
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Raoul Pal
Raoul Pal@RaoulGMI·
Tesla FSD is nothing short of magic. Just rented a Cybertruck, picked it up at the airport and it drove us directly to the Airbnb. None of the stress of a new city, new roads, new car. Had it for 5 days and never drove myself. It drove perfectly. So easy and liberating
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Paolo Ardoino 🤖
Paolo Ardoino 🤖@paoloardoino·
Tether product team is preparing something big. Shipping in less than 30 days.
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Testlabor
Testlabor@testerlabor·
Amazing Grok fact: Grok Supercomputer "Colossus 2 is equivalent in raw peak tensor performance to 14 quintillion Commodore C64 computers"
Testlabor tweet media
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