Marcelo P. Lima
46.3K posts

Marcelo P. Lima
@MarceloLima
Trying to find moats riding S-curves. Entrepreneur, investor. It’s always Day 1. @IncreasingRtrns host. Sign up for updates: https://t.co/IXlHVhOANw

14% of $CRM's shares will disappear in 5 days








Nobody understands how much of a disaster this Rivian <> Uber deal is Rivian lost $3.6 billion last year on 42k deliveries. That's $86,000 of value destruction PER VEHICLE that left their factory. Their solution? Partner with Uber to turn a $58K camping SUV into a robotaxi... to compete with Tesla's Cybercab... YIKES Every 12-18 months, this company finds a new partner to write a check: - Amazon: $1.3B equity + 100K van order - VW: $5.8B joint venture - US DOE: $6.6B loan - Uber: $1.25B robotaxi deal (today) The moment they announced the Uber deal, they admitted they're pushing back profitability AGAIN to fund an autonomy program that can't even handle stoplights. Tesla's Cybercab is purpose built at $25,000 with no steering wheel. The cost per mile math isn't even close. The Uber deal is to deploy 50,000 robotaxis by 2031. Slight problem: The car doesn't exist yet. The factory doesn't exist yet. The autonomy software doesn't exist. Manufacturing is HARD. good luck have fun



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.












