




Hitesh Bhatt
14.1K posts

@B_HiTech
Self described Tesla-nut!










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


@pbeisel Probably more like 160k wafers/month, factoring in yield



Put your loved ones in Teslas. Go into debt if you have to.










$TSLA now vs 2022 Will find out if the pattern plays out soon

@bourne_beth2345 @ucdavis People trying to dox me in real time Expose fraud and have you life threatened 24/7 “Run him out of town” for what? Exposing fraud? This is what happens when leftist paint you as a villain for doing something good for the country. Fraudsters always complain the loudest.


@WilliamShatner @RobertPicardo If u had a Tesla this wouldn’t ever happen


2 heavy-class rocket flights in 10 hours



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.