Tesla Provides Update on FSD: Region-specific Training, Europe, Future Price Hike, FSD Unsupervised for Customers

Not a Tesla App

Tesla’s autonomy stack has been one of the primary focuses of Tesla’s earnings calls for quite some time. It is also crucial to achieving Tesla’s larger ambitions, such as its robotaxi network and humanoid robots like Optimus.

Now, with FSD Unsupervised being prepared for the robotaxi launch in June, there’s a lot of new information being shared by Tesla on what to expect.

FSD Supervised

The version currently available to customers, FSD Supervised, has been available since its rebranding with the launch of FSD V12 last year. However, it has been a while since we saw an update - in fact, over 100 days since the last public FSD update. 

Tesla has been gathering and processing data at an unprecedented rate. In the shareholder’s deck, Tesla revealed that there had been over 7.7 million miles driven per day this past quarter in North America and China. Tesla’s recently deployed Dojo units are likely running at full tilt doing automated data labelling.

Quiet please.

The machines are learning pic.twitter.com/aeq4CZ2SzU

— Tesla AI (@Tesla_AI) April 17, 2025

FSD in Europe

The launch in China earlier this year was the first launch of FSD outside of North America. Most interestingly, Tesla conducted that launch without any region-specific training data besides videos found online. Tesla needed to find a workaround, as Chinese data cannot be uploaded outside the country's physical boundaries due to local regulations.

FSD for Europe remains in the wings - Tesla is awaiting regulatory approval and appears hopeful that it will be able to begin deploying FSD Supervised in Europe before the end of 2025. That may be an optimistic goal, especially considering Tesla is facing additional regulatory delays. With UNECE regulators not addressing autonomy in the next several meetings, Tesla will rely on per-country exemptions, starting in the Netherlands.

FSD to Feature Region-Specific Parameters

While FSD continues to expand, Tesla has acknowledged that certain conditions, like snow, are posing difficulties. They intend to increase the comfort and safety level of driving in inclement or locale-specific conditions in the future by adding parameters that are explicitly trained on those types of conditions and regions.

Tesla’s team specifically mentioned that these new parameters aren’t a legal necessity to get FSD Unsupervised or Supervised approved but will instead increase reliability and comfort for users. They also addressed concerns about sun glare, sand, dust, and fog impacting road conditions.

With sun glare in particular, as Tesla uses a photon-count analysis before processing the digital signal, its cameras are not as blinded as they may appear on-screen. FSD performs its analysis before the data is turned into an image, meaning that it can still perceive things even when a human may not be able to from the camera feed.

FSD Price Changes

Tesla’s executive team also raised an interesting point, but one we’ve heard before in 2023. As FSD’s capabilities evolve and increase, they believe that pricing will also be subject to change. The value of FSD, once it is fully Unsupervised, will rise greatly, and the current subscription option is far too inexpensive, according to Tesla.

It appears that Tesla is considering different pricing options for FSD Unsupervised in the future, but for now, the $99 monthly subscription remains in place. It’s possible we may see different prices for FSD Supervised versus FSD Unsupervised.

Ongoing Challenges

Tesla’s current challenges with working on FSD can be described as the march of nines. This is the exponentially increasing work needed as you need to take the system closer and closer to 100%.

Validation primarily remains a challenge due to the difficulty of encountering and then solving edge cases. The internal QA fleet in Austin can operate for multiple days without a single intervention, making it challenging to measure the progression and regression.

Tesla noted that, on average, an intervention is currently required every 10,000 miles. That is equivalent to the average North American driving for an entire year. Therefore, a substantial amount of data is necessary to continue improving the current issues. With 7.7 million miles driven by FSD every day, Tesla has, on average, 770 events to review each day.

Tesla is also continuing to deploy and expand its AI training centers. Cortex, Tesla’s latest, is already online at Giga Texas and crunching through immense amounts of data to train FSD.

FSD Unsupervised

The ultimate goal, of course, is FSD Unsupervised. A fully autonomous experience that can take you from Point A to Point B without needing any human supervision or intervention at all.

Tesla has already deployed FSD Unsupervised to take its Model 3, Model Y, and Cybertrucks from the production line to the outbound lot at both Giga Texas and Fremont, saving considerable man-hours. These vehicles are also autonomously interacting with traffic on their way over to the outbound lot - and it’s an expression of Tesla’s confidence in the system.

Fleet Capabilities

Tesla also mentioned that the vast majority of its fleet on the roads today will be capable of FSD Unsupervised. In particular, Elon mentioned the Model S, 3, X, and Y. Interestingly, this is the fourth event (We, Robot, Q4 Earnings 2024, All-Hands, and Q1 Earnings 2025) without mention of the Cybertruck being capable, likely meaning that FSD development for the Cybertruck is further behind as we’ve seen.

Hardware 3 Retrofit

There was no mention of the limitations of Hardware 3 or Tesla’s exact plans for a future retrofit at this time. While Tesla has already promised to replace HW3 with a future iteration of an AI computer, as we haven’t seen any FSD updates recently, so it’s hard to say whether any future FSD updates will arrive for HW3 besides bug fixes.

We believe Tesla is planning to solve FSD first and then work backward from there. At this point, they’ll know the compute power required for FSD Unsupervised and could make a retrofit that fits into a hardware 3 vehicle with the power and space constraints it imposes.

Unsupervised for Customers

Tesla’s goal is to launch FSD Unsupervised for customers ideally by the end of 2025. The executive team specifically mentioned that their key restrictions are twofold here.

One is that they need to be sure that FSD Unsupervised is meaningfully safer (10x, as per Q4 2024) than a human driver. Tesla has a focus on safety and intends to be extremely careful with the rollout of Unsupervised to ensure there are no incidents or accidents.

The second is that regulatory approvals will continue to be a limitation. However, as more cities and states begin to approve FSD Unsupervised in their locales, Tesla will be able to roll it out faster and faster. The intent is to have FSD Unsupervised available throughout the United States by the second half of 2026, according to Tesla.

Tesla also confirmed their intent to have a Model Y deliver itself from Giga Texas or Fremont to a customer by the end of 2025. This will likely be a local customer, and we did a deep-dive into the potential advantages and disadvantages of this delivery method.

While it may be a slow period for FSD updates right now, there are a lot of changes happening this year with the launch of FSD Unsupervised, the robotaxi network and the expansion to Europe.

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Tesla Introduces ‘Pay Later’ Option for Tesla Service Invoices in North America

@TESLA_winston

Tesla recently introduced Buy Now, Pay Later (BNPL) payment options in the United States and Canada for items in the Tesla Shop, letting owners pay later for new vehicle accessories.

However, with Tesla app update 4.46, they’re expanding support to a much more critical area — Tesla Service. Qualifying owners in the U.S. and Canada will now be able to use Pay Later options for service performed by Tesla, which includes maintenance or repairs.

Services are provided by Affirm and Klarna, as per Mark Fonte, a Senior Software Engineer working on the Tesla app.

Tesla app update 4.46 also added improvements to Tesla Assist, Wall Connector details, Tesla Energy ownership changes, and added visualizations for the updated Model S and Model X.

We released Affirm and Klarna as payment methods for Service visits in US and Canada in mobile app version 4.46.0! Enjoy :)

— Mark Fonte (@mark_fonte21) June 27, 2025

How It Works

The new feature is seamlessly integrated into the existing service workflow within the Tesla app.

On the Service Estimate, before work on the vehicle begins, you will see a new message on the estimate screen: Pay over time - see if you qualify.

Tapping this link opens the payment calculator, which allows you to view potential payment structures and monthly costs. This provides a clear picture of what a payment plan would look like before you commit to servicing your vehicle.

Additionally, after service is complete and you are ready to pay, the final payment screen will present Affirm and Klarna (region-dependent) as selectable payment methods, alongside the usual options of Tesla Credit or your primary payment card.

Tapping Affirm or Klarna here will reopen the payment calculator, and a confirmation prompt will appear before selecting either BNPL option.

Service Now, Pay Later

Overall, the integration of BNPL providers for service is a thoughtful one for vehicle owners. The terms can vary widely, so it’s important to compare them to other payment options you may have access to. The additional financial flexibility, when faced with a large repair bill, allows more owners to get their vehicle professionally and properly serviced by Tesla.

For those getting larger work done, such as high-voltage battery pack replacements, this is an excellent option to spread payments over a longer period, helping reduce the burden of vehicle repair.

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Tesla Robotaxi: A Breakdown of Its New FSD Abilities

Not a Tesla App

With the launch of Tesla’s Robotaxi Network, we didn't just get a peek into the future of transportation—we got a detailed look at the next version of FSD.

Videos from early access riders revealed some additional capabilities over current public FSD builds, showing off how it handles emergency vehicles and more.

Safety First for First Responders

One of the biggest changes in FSD’s capabilities is its improved handling of emergency vehicles. During a ride in Austin, Robotaxi is seen identifying an approaching ambulance using a combination of visual and audio data, activating its turn signal, and smoothly pulling over to the side of the road to let the ambulance by (video below).

This is a driving task that requires more than simple awareness of laws. It requires reasoning skills to determine where to move the vehicle to create a safe path, as well as the ability to quickly identify an ambulance or another emergency service vehicle with its sirens and lights activated. Understanding the context and executing a safe and predictable maneuver is crucial, as a wrong maneuver could actually make matters worse.

Robotaxi pulls over for an ambulance 🤩🤩 pic.twitter.com/QFdLggMiUy

— Dirty Tesla (@DirtyTesLa) June 23, 2025

For FSD and Robotaxi to gain both public trust and regulatory approval, this skill is non-negotiable, and Tesla demonstrated its advancements right here. It’s not surprising Tesla added this ability before Robotaxis made it to public roads.

This is a feature that Tesla previously mentioned would arrive as part of future updates to FSD V13, so expect it in future customer builds as well.

Automated Camera Cleaning

How does a fleet of Robotaxis keep its eyes clean without constant human intervention? Well, a clever new feature that Tesla has previously hinted at in their FSD release notes provides the answer. Robotaxi can now trigger a specific wiper and washer fluid sequence designed to clean the main front-facing cameras.

Tesla Robotaxi new wipers in action (clean camera mode) pic.twitter.com/aPPNEvAWQZ

— Adan Guajardo (@AdanGuajardo) June 22, 2025

This might seem like a small detail, but it’s a brilliant solution to one of Tesla’s primary challenges - maintaining sensor clarity. While the vehicle could simply wipe the windshield multiple times, this is a clever solution to clean the most important area of the windshield as thoroughly as possible by focusing extra wiper fluid and wipes on that area.

Complex Maneuvers

Two areas where current builds of FSD V13.2.9 sometimes show hesitation are U-turns and navigating busy parking lots. The latest Robotaxi build appears to improve on both of these areas.

This first video shows a Robotaxi performing a flawless U-turn with no hesitation, and then smoothly switching lanes to take a turn.

Robotaxi executes a flawless u-turn pic.twitter.com/aZ7BwWAqe0

— Dirty Tesla (@DirtyTesLa) June 23, 2025

Another video on X shows FSD’s updated confidence in navigating a complex parking lot for a precise drop-off. Today’s builds can sometimes struggle in parking lots, being slow and overly cautious when not needed, or too confident elsewhere. This appears to have been improved in these Robotaxi FSD builds with improved path planning and confidence.

Tesla Robotaxi service is just so smooth. Handles parking lots very well, noticeably better than the competitors pic.twitter.com/D5OxSrajCW

— Zack (@BLKMDL3) June 23, 2025

We’re also likely to see FSD begin to handle more complex destination options, including parking garages and driveways, which have been promised features for almost a year. The Robotaxi FSD build has also gained the ability to safely pull over on a road, similar to the ambulance example above, but it uses this capability to drop off and pick up passengers. This is a feature that was mentioned in FSD v13.2’s Upcoming Improvements section.

Better Nighttime Performance

Driving at night presents additional challenges, including headlight glare and reduced visibility. The latest version of FSD appears to handle it with almost the same grace as it does during the day. Remember that Tesla’s Robotaxis are available up until midnight.  Early access riders mentioned that FSD is far smoother and is a step up from the behavior of current FSD builds.

Impressive nighttime performance from Tesla Robotaxi, dropping us off at In-N-Out as smoothly as it did during the day. pic.twitter.com/yQOhphtR0q

— Zack (@BLKMDL3) June 23, 2025

Human Support

Now, what happens when a passenger feels unsafe or has a critical question? Tesla has placed two key buttons on the rear screen for just those purposes. Users are given control over the ability to Call Support, which almost instantly connects them with a real human agent at Tesla’s Robotaxi Operations Center via video call.

Here’s what happens when you hit the support button in Tesla’s Robotaxi’s.

A live agent answered almost immediately. pic.twitter.com/MIeY1ehz47

— Sawyer Merritt (@SawyerMerritt) June 22, 2025

While it isn’t a fundamental driving feature, it does mean that Tesla’s team can provide support to Robotaxi vehicles remotely, like issuing directive commands to have a vehicle proceed straight, rather than attempting to turn through a gated community.

The other option, Pull Over, allows a rider to immediately request the vehicle to safely pull over, which it will do when it can find a safe and open location. At this point, you can either continue your trip or get out of the Robotaxi.

Both options prompt you with an “Are You Sure?” button before letting you continue, which means you won’t have your Robotaxi ride come to an abrupt stop if you tap the ‘Pull Over’ button by accident.

What This Means for Tesla Owners

These features are likely to be included in future FSD builds. This is essentially the new benchmark by which to judge FSD, at least once it begins rolling out to customer vehicles.

Many of the core driving improvements, such as the more confident maneuvering and emergency vehicle response, will make their way to the wider fleet in upcoming FSD updates.

Remember - Robotaxi isn’t just a service, it is also a preview of Tesla’s driverless FSD builds.

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