At the exhibit, Tesla has the interior of the new Model S set up, complete with a center console, steering wheel and infotainment system so that attendees can experience the yoke steering wheel and its blazing-fast processing for maps, games, and entertainment.
The 'vehicle' was running a developer version of Tesla's OS with version number 2022.40.50, and this is where Apple Music was found.
Tesla’s notorious for leaving Easter eggs and hints about upcoming features in their software, and having this vehicle run a developer version with Apple Music appears to have been intentional. We first speculated that Apple Music was coming when an icon was spotted during Zoom's conference where they showcased their video conference running in Teslas.
According to the software menu in the vehicle, the vehicle's VIN was set to 'P3TERS3N1P000BUCK.
Integration
Tesla will be integrating Apple Music into their music player, instead of actually running an Apple Music app, which has both, positives and negatives. On the positive side, the UI will be consistent and similar to Tesla's other music offerings, and its expected to support Tesla's voice commands as well. However, it could mean that not all Apple Music features may be available.
Tesla is adding Apple Music to their vehicles
Aaron Cash/Twitter
Spatial Audio
Apple recently announced that Apple Music would support Spatial Audio in some vehicles. In addition to Spatial Audio, Apple Music also supports lossless audio for a variety of music. Apple describes these features as creating an immersive audio experience that produces "true multidimensional sound and clarity."
It's not clear whether Tesla is implementing Spatial Audio or lossless audio support in their implementation of Apple Music, but we may be limited to the core features. Tesla currently supports high-quality audio with TIDAL.
Release Notes
The Tesla release notes for the inclusion of Apple Music have been shared on Twitter by TeslaRaj. Although they don't reveal much, it does confirm that you'll need Premium Connectivity to stream Apple Music over cellular, or use WiFi, either while parked and connected to a local access point or using your phone as a hotspot. You'll also need a subscription to Apple Music. It does not mention Dolby Atmos or lossless audio, so it's a real possibility that those options are not included, at least upon Apple Music's initial release. Tesla's release notes are as follows:
Stream over 100 million songs and 30,000 playlists ad-free. Listen to your entire library, discover more music, and tune into live radio stations. To access Apple Music, tap the Apple Music icon in the Application Launcher, scan the QR code with your mobile device, and login with your Apple ID.
Note: A Premium Connectivity subscription is required to stream Apple Music over a cellular connection.
Tesla is adding Apple Music to their vehicles
TeslaRaj (edited by Not a Tesla App)
Release Date
There is no official release date for Apple Music, but the wait should not be long. It's highly anticipated that Tesla will add Apple Music with this year's holiday update, which is expected later next month.
Last year Tesla released a holiday update that included the ability to create custom light shows, a new UI, a customizable launcher, the addition of the blind spot camera and more. This year's holiday update is expected to include a variety of new features as well.
Apple Music, which surpassed 100 million songs back in October, is one of the last major streaming services to be added to Tesla’s vehicles. Currently, Tesla offers Spotify, TIDAL, Slacker Radio, TuneIn, and SiriusXM (Model S/X only). To stream music through any of these services you’ll need to be subscribed to Tesla’s Premium Connectivity for $9.99/mo.
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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.
