1/ Setting the record straight: What you see here is Sim 1.0, while the industry is moving towards Sim 2.0. Example are @Waymo Simulation City and @RaquelUrtasun GeoSim. Ex: the below reconstruction was manually recreated in Unreal Engine 4 and would take *hours/days. #TeslaAIDay

https://twitter.com/WholeMarsBlog/status/1429537335599792128

2/ Even environments recreated with procedural tools (1.0 tech) are limited by hand modeled assets & textures by artists, introducing huge domain gaps. Its not scalable & is why Sim 1.0 is being depreciated (taking backseat) in some AV companies while Tesla is just introducing it

So instead of a working HPC, what we saw in #Dojo is a single node that’s is running a rudimentary NN on a single test bench. Designing a chip is easy. What’s hard is building the compiler, runtime scheduler in a HPC environment at scale. none of which @Tesla is anywhere close to When asked, its brushed off as “No but we will”. This exapod doesn’t exist it’s a photoshopped image and won’t exist for many years. That’s why there’s no MLPerf benchmarks. There is only one exapod in existence & that’s @Google TPU version 4. In use today by @Waymo #Dojo

I will be live tweeting @Tesla AI Day Here. Personally looking at the data flow, latency, low power and performance of #Dojo and how it compares to @Google #TPU version 4 and other HPC systems and how it directly relate to #AutonomousVehicles #FSDBeta Well as usual, Tesla is fashionably late and we are almost 18 mins past the start time. And the beat goes on...

With @Tesla CJ Moore, Director of Autopilot saying "Elon’s tweet does not match engineering reality". Here's Elon's tweets/statement about #FSD $TSLA

Dec 2015: "We're going to end up with complete autonomy, and I think we will have complete autonomy in approximately two years." January 2016: "In ~2 years, summon should work anywhere connected by land & not blocked by borders, eg you're in LA and the car is in NY"

https://twitter.com/elonmusk/status/686279251293777920