@piloly Danke fürs teilen, sehr wertvoll. Für mich immer noch unverständlich weshalb der Grossteil der Schweizer Gesellschaft immer noch Benziner- und Dieselautos geschweige denn Hybrid kaufen.
Meine Unterhaltskosten inkl. Treibstoff sind um 80% zurück gegangen.
@ThameDavid@Teslarati Totally agree. Even my 2023 Model S charges as already so fast that I always have to hurry.
It will change when a full 20->80 charge only takes a few minuts and you can wait at the car.
Model S & X changed automotive history forever by proving that an EV could be the best car possible – of any kind.
By inspiring other automakers to believe in EVs, they pushed the industry from 50k cars total in 2011 to 21 million sold per year.
Many automotive firsts:
Model S – first EV to achieve a 400-mile range, first production car to do 0-60 in <2 seconds & first production sedan to run a 9.23 second quarter mile.
It was also the first vehicle with a roof so strong that it broke NHTSA's testing machine.
Model X – quickest production SUV & the first to not roll over in regulatory tests.
Model S & X also initiated real-world AI!
We never stopped refining either vehicle. Both have 40% fewer parts today & share only 3% of parts with their original version. 60 years of evolution (by conventional car development standards) squeezed into 14 years!
750,000 Model S & X built.
Your support – from our earliest days to now – made Tesla into what it is today.
Thank you to each of our owners ❤️
🚀 Heute ist der grosse Tag! Das Tesla Signature Delivery Event für die letzten Model S & X läuft live aus Fremont.
Mein Model S Plaid rollt hier in der Schweiz schon seit einiger Zeit absolut unschlagbar – über 1000 PS, brutale Beschleunigung und Alltagstauglichkeit. Ein echtes Stück Tesla-Geschichte auf Schweizer Strassen! 🇨🇭⚡
Wer schaut mit?
#Tesla #ModelS #Plaid #SignatureEdition #Fremont
The version numbers are a little confusing and deserve some explanation.
Internally, we are working on version 9 of our new foundation model, which is 1.5T params. This is substantially better in every way than v8: data curation, training recipe, size, etc. It is also optimized to run on a Blackwells.
The public facing v4.2 is based on foundation model v8, trained on Hoppers, with significant shortfalls in training data quality, comprehensiveness and proportionality. It is also only 0.5T in size.
The difference between Grok foundation model 8 and 9 is gigantic.