ทวีตที่ปักหมุด
For at least the next 100 days, I will run an experiment. I will be using 𝕏 differently than I have been.
More details to come if successful.
Feels important to share this.
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Ryan Tanaka
35.6K posts
Ryan Tanaka
@RyanTanaka
Founder of @NeuraPod: A YouTube channel all about Neuralink.
Arizona 🏴 เข้าร่วม Mart 2017
1.5K กำลังติดตาม10.3K ผู้ติดตาม
@mikepat711 I've also started becoming this way about Elon, Neuralink, Tesla, X, and xAI.
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I have no desire to debate about Tesla or FSD anymore. I don’t give a shit. The truth is going to be what it is regardless of what anyone argues about today.
It’s amazing, and if you disagree you either haven’t used it or you’re a big dumb idiot and I don’t care about you.
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there are people in your life who make you feel more like yourself and people who make you feel less like yourself
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I’m excited to announce a partnership with @Uber. As part of this, Uber plans to invest up to $1.25 billion in Rivian and deploy up to 50,000 R2 robotaxis.
This partnership accelerates our path to Level 4 autonomy and supports our goal of building one of the safest autonomous platforms in the world—across both shared and personally owned vehicles.
The combination of Rivian’s rapidly growing data flywheel, our in-house RAP1 inference platform (800 TOPS), and our multi-modal perception stack provides a powerful foundation to scale autonomy quickly and responsibly over the next couple of years.
Rivian@Rivian
A fleet of R2 Robotaxis is coming exclusively to @Uber. ⚡🌿 Today, we announced a partnership to help both companies accelerate their autonomous vehicle plans across 25 cities in the US, Canada and Europe by the end of 2031. rivn.co/uber
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Eventually, content from humans will be considered the slop.
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@teslaownersSV @pbeisel With some luck and acceleration using AI, we might be able to tape out AI6 in December
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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@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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@elonmusk Interesting turn of events in the poll results lol. I think the algorithm is better today than previously.
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@elonmusk @bindureddy Hmmm. The real question is: where is the Oxford comma!?
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@bindureddy Google will win the AI race in the West, China on Earth and SpaceX in space
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Gemini 3.0 didn’t quite work out and most of us are still stuck with 2.5
Sometimes I don’t get it - what’s preventing Google from ditching all the side hustles and training 100 models from 100 teams in parallel
Pick the model/team combination that produces a decent model!
That way, they will at least stay in the AI race 😅
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@elonmusk @travelingflying Grok has been improving very quickly. Great job.
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When you think, what medium do you tend to think in?
Would be very curious to hear how you’d describe the base unit(s) of your thoughts and how they feel to you.
I assumed what happens in my head was similar to everyone else but have been surprised by how varied thought can be.
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@rand_longevity Yea. I know a lot of people scared by it, but to actually *hate* it is so dumb.
Imagine hating a calculator
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@JVleet84 Oh here we go flexing the share count...
If you round down, I only have 1 share 👶🍼
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@RyanTanaka The enjoyable irony is I probably have more equity in Tesla's future than all of you 🤣 I'm glad it hasn't altered my ability to look at things critically.
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@ChiFredericks @shivon It's interesting to hear others describe their varied experiences.
Hopefully Neuralink will help us learn more about our goody meatballs
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@RyanTanaka @shivon Not alone in that. The things that I can and can't remember all fit this pattern. Things I didn't actually experience (preferably with stronger emotions), words, and names I am absolutely screwed on remembering. Other memories have stuck as verified by others.
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