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Brandon
35.1K posts
@Brand0n Can’t wait to pull up to 🌮 🛎️ with the light bar shining 👀
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Very likely fsd runs into a tree. Most of tesla driver doesn't use turn indicator, certainly not in a quiet road like this. It used to be BMW driver but now tesla driver as we all know.
Yaro@Tutrifour
Here the dash cam footage of the crash for this car.
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Tesla has really solved the sun glare problem that everyone told me would be impossible without HW5. I’m completely blinded myself in this photo. FSD handling it is much safer.
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@TravelTeslaDad From XKmax. One of the best ones available
store.xkglow.com/catalog/produc…
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@Brand0n Def gonna install this when I get mine … where did you get it?
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@elonmusk @doganuraldesign People’s posts shouldn’t be going into a void.
Especially Premium+ subscribers
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Fuck it, man. I’m so sick of these algorithm changes.
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We
– design the chips & hardware
– make the cars w/ said hardware
– collect real-world data at scale
– train the real-world AI model
– built (& continue to expand) the massive supercomputer cluster that trains it
– deploy AI directly to millions of robots on wheels
All that is shared with @Tesla_Optimus for broader applications in both the physical & digital world
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Woman Arrested After Cybertruck Vandalism Caught on Sentry Mode
driveteslacanada.ca/news/woman-arr….
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@SawyerMerritt @carwowuk @matwatsoncars has no balls and is told what to say by the people that run Cartrash
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Carwow just released a new video to its 11 million YouTube subscribers titled: "Why Tesla Full Self Drive is Pointless!"
@carwowuk misleads its viewers into thinking Tesla’s Autopilot is FSD, even though FSD hasn’t been approved in the UK yet. Autopilot isn’t meant for city driving, yet they test of bunch of scenarios that Autopilot wasn't built to do in the first place....
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FSD v14 Lite: @elonmusk & @aelluswamy, is there an update you can share on the progress of FSD v14 Lite for HW3 vehicles?
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@NotATeslaApp @elonmusk @aelluswamy I personally just don’t see this happening at any large scale. They’ll delay it as long as they can when most HW3 owners have dumped their cars or FSD transferred to a new AI4/AI5 vehicle. There will be a few (rightfully) stubborn people who stick it out, but not many.
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@NotATeslaApp @elonmusk @aelluswamy If Elon is talking about AI6 then surely we could get a small update on V14 Lite 🙂
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@NotATeslaApp @elonmusk @aelluswamy Here’s an update buy a new S3XY vehicle 😂 if you really want it.
12.6.4 is sufficient and less buggy more predictable. Better than v 13 in my opinion.
V14 is a nice and smooth parks and un-parks. Although, it’s definitely not perfect and makes mistakes so far.
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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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