As part of an update to its AI roadmap, Tesla has also announced the features that will be in FSD v13. Tesla provided many details about what we can expect, and there’s a lot of info to break down.
Tesla’s VP of AI, Ashok Elluswamy, also revealed that FSD v13 is expected to make FSD Unsupervised feature complete. That doesn’t mean that autonomy will be ready, as each feature will still need to work at safety levels higher than a human, but it means every key feature of autonomous vehicles will be present in FSD v13.
Let’s examine the v13 feature list Tesla and Tesla employees have recently provided to see exactly what’s coming.
Higher Resolution Video & Native AI4
FSD v12 has been trained using Tesla’s HW3 cameras and downsampling the AI4 cameras to match. For the first time, Tesla will use AI4's native camera resolution to get the clearest image possible. Not only will Tesla increase the resolution, but they’re also increasing the capture rate to 36 FPS (frames per second). This should result in extreme smoothness and the ability of the vehicle to detect objects earlier and more precisely. It’ll be a big boon for FSD, but it’ll come at the price of processing all of this additional information.
The HW3 cameras have a resolution of about 1.2 megapixels, while the AI4 cameras have a resolution of 5.44 megapixels. That’s a 4.5x improvement in raw resolution - which is a lot of new data for the inference computer and AI models to deal with.
Yun-Ti Tsai, Senior Staff Engineer at Tesla AI, mentioned on X that the total data bandwidth is 1.3 gigapixels per second, running at 36 hertz, with nearly 0 latency between capture and inference. This is one of the baseline features for getting v13 off the ground, and through this feature update, we can expect better vehicle performance, sign reading, and lots of little upgrades.
Bigger Models, Bigger Context, Better Data
The next big item is that Tesla will increase the size of the FSD model by three times and the overall context length by the same amount. What that means, in simple terms, is that FSD will have a lot more information to draw upon—both at the moment (the context length) and from background knowledge and training (model size).
In layman’s terms, Tesla has made the FSD brain bigger and increased the amount of information it can remember. This means that FSD will have a lot more data to work with when making decisions, both from what's happening right now and from what it has learned in the past.
Beyond that, Tesla has also massively expanded the data scaling and training compute to match. Tesla is increasing the amount of training data by 4.2 times and increasing their training commute power by 5x.
Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5
Tesla’s FSD has famously only relied upon visual data—equivalent to what humans can access. LiDAR hasn’t been on Tesla’s books except for model validation, and radar, while used in the past, was mostly phased out.
Now, Tesla AI will integrate audio intake into FSD’s models, with a focus on better handling of emergency vehicles. FSD will soon be able to react to emergency vehicles, even before it sees them. This is big news and is in line with how Tesla has been approaching FSD—through a very human-like lens.
We’re excited to see how these updates pan out - but there was one more thing. Ashok Elluswamy, VP of AI at Tesla, confirmed on X that they’ll add the ability for FSD to honk the horn.
Other Improvements
The other improvements, while major, can be summarized pretty simply. Tesla is focusing on improving smoothness and safety in various ways. The v13 AI will be trained to predict and adapt for collision avoidance, navigation, and better following traffic controls. This will make it more predictable for users and other drivers and improve general safety.
Beyond that, Tesla is also working on a better representation of the map and navigation inputs versus what FSD actually does. In complex situations, FSD may choose to take a different turn or exit, even if navigation is telling it to go the other way. This future update will likely close this gap and ensure that your route and FSD’s path planner match closely.
Of course, Tesla will also be working on adding Unpark, Reverse, and Park capabilities, as well as support for destination options, including parking in a spot, driveway, or garage or just pulling over at a specific point, like at an entrance.
Finally, they’re also working on adding improved camera self-cleaning and better handling of camera occlusion. Currently, FSD can and will clean the front cameras if they are obscured with debris, but only if they are fully blocked. Partial blockages do not trigger the wipers. Additionally, when the B-Pillar cameras are blinded by sunlight, FSD tends to have difficulties staying centered in the lane. This specific update is expected to address both of these issues.
FSD V13 Release Date
Tesla announced that FSD v13 will be released to employees this week, however, it’ll take various iterations before it’s released to the public. Tesla mentioned that they expect FSD v13 to be released to customers around v13.3, but surprisingly, they state that this will happen around the Thanksgiving timeframe — just a few weeks away.
Tesla is known for delays with its FSD releases, so we’re cautious about the late November timeline. However, the real takeaway is that FSD v13 is expected to offer a substantial leap in capability over the next few months—even if it’s exclusive to AI4.
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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.
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.
Tesla’s 2025 Spring Update has arrived and is now going out in larger waves. Although this update isn’t as large as last year’s Spring Update, there are several exciting features in this year’s Spring Update.
In this article, we’ll take our first look into some of the newest features.
Custom Trunk Height per Location
The trunk height for Model Ys, Model 3s with automatic trunks, and the 2021+ Model S and Model X will now be customizable by location. While you could previously apply a maximum general height, you can now also apply a height at a given location.
This is especially helpful if you don’t want the vehicle to open the trunk all the way in your garage, but would like it to open all the way elsewhere.
To set it, you can manually adjust the liftgate to your preferred height when at the location and then press and hold the trunk close button until you hear a chime. Alternatively, you can open the liftgate with the on-screen controls and then press the pause button and have it remember this height.
If you have a Cybertruck, the process is similar to save the frunk height.
B-Pillar Sentry & Dashcam
The new B-Pillar options are displayed at the bottom of the dashcam viewer.
Not a Tesla App
For newer hardware 4 vehicles, Sentry Mode and Dashcam will now also record video from the B-pillar cameras on your vehicle. This brings the total number of cameras recorded to six, up from just four. This also means that the vehicle is now covered practically in 360 degrees. The only cameras not recorded are the alternative front camera, the front bumper camera (on the new Model Y and Cybertruck for now), and the interior camera.
While most of the other cameras wouldn’t provide much improvements in terms of security, adding the interior camera would be a really nice addition. However, we imagine there are privacy reasons why Tesla isn’t adding this one.
You can check out the new angles in the improved Dashcam viewer under “Left Pillar” and “Right Pillar”, which are located at the far right.
For AI3 vehicles and the Cybertruck, this feature isn’t available, however, we expect it to be added to the Cybertruck soon.
The Dashcam and Sentry Mode Viewer have received an improved interface to go along with the new B-pillar camera recording. However, like the new cameras, this feature is only currently available on HW4 vehicles. While the B-pillar camera records are unlikely to arrive on HW3 vehicles due to technical constraints, we may see this improved Dashcam Viewer arrive on other vehicles in the future.
The new viewer now displays all the cameras along the bottom, rather than having one at each corner.
Tesla has also added a jump back or forward 15-second button; however, the recent improvement to adjust the playback speed from 0.5x, 1x, and 2x appears to have been removed.
There’s also a new button at the top right corner of the video, which lets you easily jump to the next video clip.
Reverse Camera
The new angle is a little bit wider than the original.
Not a Tesla App
For HW4 vehicles, Tesla has also improved the visible angle of the rearview camera. Tesla’s cameras actually capture angles slightly wider than the ones displayed in the vehicle UI and the Tesla app - so it’s nice to see them increasing the viewing area.
These same vehicles have now also been updated to have the fender cameras displayed at the top of the Camera app instead of the bottom.
Adaptive Headlights for North America
Overnight, your Tesla gets better with a OTA update.
Tesla Adaptive Headlights in action on a Legacy Tesla Model Y.
Adaptive headlights have finally been enabled for vehicles with matrix headlights in North America with this Spring Update. You can check them out in action below. If you’re unsure whether your vehicle includes matrix headlights, our guide can help.
Model S / X Turn Signal Cameras
These optionally placed repeater turn signal camera images are a huge improvement!
@niccruzpatane on X
The Model S and Model X have received some much-requested love from Tesla. The blind spot camera feature, which displays the fender cameras on screen when the turn signal is active, is being moved to the instrument cluster.
Until now, the feature has shown the cameras on the infotainment display, much like the Model 3 and Model Y. If you prefer to keep them on the main display, you can adjust it under Controls > Display > Automatic Blind Spot Camera.
New Navigation Options
Tesla added three new routing options to the Spring Update, which now lets you choose between faster and more frequent charging stops or longer and less frequent stops. The long-awaited avoid highways option is finally included in this update as well.
Fastest: This offers the quickest path to the destination, disregarding any attempts at efficiency or stopping more frequently to perform short charges.
Best Amenities & Fewer Stops:This routing mode minimizes your charge stops in exchange for making them longer, but also allows you to stop near highly rated restaurants, shops, and restrooms for a more relaxing trip.
Avoid Highways: Thishighly requested feature allows you to keep your navigation routing away from highways unless absolutely necessary to reach your destination. Hurray for the country roads and relaxed driving.
With the 2025 Spring Update, you can now customize your route to have fewer stops, the best amenities, or just a fastest overall route.
Tesla has updated the in-vehicle Phone app to display contact pictures from your phone, along with the name and phone number.
The new contact photos will also appear in the dialog window that opens when you receive an incoming call.
The new contact image is displayed above the phone number and name (censored by user)
@max_bracco on X
Search Filters for Music
The list of sources is selectable to help fine-tune your search.
@max_bracco on X
When searching for music, the results are now filtered by the music service, rather than displaying all results in a single view.
When you prefer a search, the results will be limited to the currently selected music source. Results for other services will be displayed in separate tabs organized by service. This is a really nice addition, but we’d also love to see an “All” results tab, similar to the previous experience, that lets you view results across various services.
Keep Accessory Power On
Tesla is finally giving users the ability to charge devices with 12V sockets and USB ports when there’s no one in the vehicle. While 12V sockets and USB ports are turned off when the vehicle goes to sleep, many users work around this by enabling Sentry Mode to keep the ports powered.
The good news is that this new feature is even more efficient than before because owners no longer need to keep Sentry Mode on just to keep these ports powered.
To enable power for the USB ports and 12V sockets, navigate to Controls > Charging and scroll down to Keep Accessory Power On. Keep in mind, similar to Sentry Mode, this feature uses additional energy, even if devices aren’t being charged — so use it selectively.
Music Improvements
Tesla has made several other music related improvements in this update besides the updated search results screen.
Amazon Music: You no longer need a premium subscription to Amazon Music to use the streaming service in the car. Your free account will work just fine.
Apple Music: Apple Music’s shuffle function has been improved so that it now shuffles the entire playlist of music, instead of just the first 100 results in the playlist.
YouTube Music: The next song in a playlist will now be displayed in the Up Next section. You view this section by tapping on the album artwork in the music player.
Other Improvements
Tesla has made several other improvements. One nice addition, currently limited to the Cybertruck, is that the vehicle's visualization will now display the actual distance a door is open.
Tesla also improved the hotspot feature. If you typically use the hotspot on your phone to connect to the vehicle, this feature will now be automatically enabled each time the vehicle is put into drive.
While Tesla has already shown third-party chargers in Europe, Tesla is now giving users the ability to view them in other regions for the first time. The feature is off by default, but you can go to Controls > Charging and enable third-party chargers. Tesla explains that your vehicle will not automatically navigate to these chargers, but they will show up in the list of available chargers.
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