Tesla appears ready to have FSD Beta make an international release
Not a Tesla App
Tesla's Full Self-Driving (FSD) is reportedly on the verge of a major international expansion, with China being a significant focus, but other countries may also be nearing release. This speculation is fueled by various indicators pointing towards Tesla's preparation for a global release of FSD Beta beyond its current availability in North America.
Last week, we broke the news that Tesla's FSD v12 was released to employees. This could be the version that Tesla aims to release into additional markets.
Key Indicators of International Expansion
Tesla has begun translating FSD Beta release notes into multiple languages. This includes the release notes such an explanation of FSD Beta, FSD Beta Suspension, and Driving Visualization Improvements, however, the technical release notes that change from version to version remain mostly untranslated. These release notes are now available in various languages including German, Danish, Italian and others. This selective translation process suggests a preparation phase for introducing FSD Beta to international markets, although not in its current version.
Developments in China
The prospect of Tesla's FSD Beta entering the Chinese market has been a topic of discussion for some time. Recent observations indicated that Tesla China's website briefly featured references to FSD Beta, although these were later removed, adding to the speculation.
According to reports from Chinese media, including China Fund News, Tesla is actively moving forward with plans to release FSD in the Chinese market.
A joint notice from several Chinese government departments mentioned that vehicles with Level 3 and Level 4 autonomous capabilities might be allowed for road tests in certain areas. This development aligns well with Tesla's potential plans to test FSD Beta in China.
Infrastructure Developments
In 2021, Tesla established a data center in Shanghai to gather data from its domestic operations. Additionally, Tesla has formed an FSD operations team and a data labeling team in Shanghai. Despite these developments, there are hurdles to overcome before FSD Beta's release in China, such as data collection qualifications.
Tesla has not provided a specific timeline for the FSD Beta release in China, but the company has confirmed ongoing preparations. This aligns with recent changes observed in Tesla's online manuals in China.
Tesla's FSD Beta is poised for an international rollout, with China being a primary target. The translation of release notes, updates to owner manuals, and recent government notices all point toward Tesla's preparation for an international release. While challenges remain, the groundwork laid by Tesla, particularly in China, indicates significant progress in bringing FSD Beta to international markets.
Below is part of the German release notes for FSD Beta, which read:
Autonomes Fahren (Beta)"
Sie können die Funktion Autonomes Fahren (Beta) aktivieren. Tippen Sie hierzu auf ‚Fahrzeug‘ > ‚Autopilot‘ > ‚Autonomes Fahren (Beta)‘ und folgen Sie den Anweisungen.
Die Funktion Autonomes Fahren befindet sich in einer frühen, eingeschränkten Beta-Phase und muss daher mit zusätzlicher Vorsicht verwendet werden. Da sie möglicherweise im schlechtesten Moment falsch reagiert, müssen Sie Ihre Hände immer am Steuer lassen und genau auf die Straße achten. Werden Sie nicht nachlässig. Wenn Vollautonomes Fahren aktiviert ist, wird Ihr Fahrzeug Spurwechsel auch abseits der Autobahn durchführen, Ihrer Navigationsroute an Abzweigungen folgen sowie um andere Fahrzeuge und Objekte herum steuern und nach rechts und links abbiegen. Verwenden Sie die Funktion Autonomes Fahren im eingeschränkten Beta-Modus nur, wenn Sie jederzeit auf die Straße achten und sofort eingreifen können, insbesondere an uneinsehbaren Ecken, beim Überqueren von Kreuzungen und in Fahrsituationen mit wenig Platz.
Ihr Fahrzeug nutzt Tesla Vision! Beachten Sie, dass für Tesla Vision auch einige vorübergehende Einschränkungen gelten: Der Folgeabstand ist auf 2-7 und die Höchstgeschwindigkeit des Autopiloten auf 85 mph begrenzt.
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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.
