Yesterday, we reported that Tesla updated their Steam integration on Model S and Model X vehicles. The update was part of their 2024 Holiday Update, but it looks like there may be more to this than a simple update.
Steam, a video game library app, makes it easy for users to buy or launch games on their computers. However, a couple of years ago, Valve, who created Steam, launched their own standalone device, the Steam Deck. The Steam Deck runs a custom OS based on Linux.
Steam Launch
When Tesla launched the redesigned Model S and Model X, Tesla introduced a dedicated gaming GPU with 16GB of RAM and touted the ability to play top-tier PC games in Tesla vehicles.
In 2022, Tesla finally launched the Steam app for the Model S and Model X as part of its 2022 Holiday Update. The Steam app runs Steam OS, the same OS as the Steam Deck in a virtual environment.
However, earlier this year, Tesla stopped including the GPU and Steam (Beta) in their vehicles, and we haven’t seen any updates to the Steam in quite some time. In fact, we thought Tesla was axing their gaming-on-the-go dreams.
SteamOS Update
The Steam app, which is still in Beta, is getting an interesting update for the Model S and Model X vehicles with the discrete GPU.
Those vehicles received an update to SteamOS 3.6 - the same version of SteamOS that runs on the Steam Deck. While nothing has visually changed, there’s a long list of performance optimizations under the hood to get things running smoother.
Comparing Steam Deck to Tesla Vehicles
Let’s take a look at the Steam Deck - according to Valve, its onboard Zen4 CPU and GPU combined push a total of 2 TFlops of data, which is fairly respectable, but much lower than today’s home consoles. The Steam Deck is capable of 720p gaming fairly seamlessly on low-to-medium settings on the go and is also built on the AMD platform.
AMD-equipped Teslas, including the Model 3 and Model Y, are packing an older Zen+ (Zen 1.5) APU (processor with a combined CPU and GPU). AMD claims that the V1000 - the same embedded chip as on AMD Tesla vehicles (YE1807C3T4MFB), brings up to 3.6 TFLops of processing power with it, including 4K encoding and decoding with the integrated GPU on board.
While that’s not enough for 4K gaming or comparable to a full-blown console or desktop GPU, that’s enough raw horsepower for light gaming and is currently more powerful than the Steam Deck.
The Model S and Model X’s GPU brings that up to about 10TFlops of power - comparable to modern consoles like the Xbox Series X at 12 TFlops.
Steam Gaming for All Vehicles?
The fact that Tesla is updating SteamOS even though the feature is no longer available in any new vehicles could indicate that Tesla is not only bringing Steam back to Teslas but that it’s going to play a much bigger role.
While SteamOS is run in a virtual environment on top of Tesla’s own OS, we could see Tesla bring SteamOS to all of its current vehicles, including the Model 3, Model Y, and Cybertruck. Steam in these vehicles would likely support any game that’s capable of running on the Steam Deck.
We think this Steam update, which includes performance improvements and a variety of fixes, has quietly passed under most people’s radars. This could be a very exciting update for those who enjoy gaming, especially for those who love to do it in their Tesla.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
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