Abhinav Chinnusamy

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Abhinav Chinnusamy

Abhinav Chinnusamy

@emotor

personal rants archive

Madison, WI Sumali Mart 2018
480 Sinusundan424 Mga Tagasunod
Abhinav Chinnusamy
@Teslarati v14.2 does weird things sometimes disengaging while pulling out of curbside parking and getting confused during yellow-to-red traffic stops. hope they fix this.
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Mike P
Mike P@mikepat711·
Do you realize that when you press send on this you turn thousands of insane nerds into hyped up children who won’t be able to sleep tonight? I’ve gotta be up early too, you fucker.
Elon Musk@elonmusk

@DBurkland @pbeisel It’s in testing right now. Wide release in a few weeks.

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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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Abhinav Chinnusamy
FSD v14 handled a parking garage stop and found a spot. very cool.
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Abhinav Chinnusamy
how the fuck is that file's modified date tomorrow at 3:38am?
Abhinav Chinnusamy tweet media
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kache
kache@yacineMTB·
i am now an electrical engineer
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Abhinav Chinnusamy
this winter storm has been super helpful and gave me a free car wash today so grateful!
Abhinav Chinnusamy tweet media
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Bearded Tesla
Bearded Tesla@BeardedTesla·
This will ruin your day 😎
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Abhinav Chinnusamy
Abhinav Chinnusamy@emotor·
my legs locked up almost immediately while swimming
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