While some owners may receive an update within a few days of it being released, most owners will actually not receive the latest update for several weeks.
There are a couple of reasons why Tesla doesn't update all of its vehicles at the same time.
Unfortunately, updates for Teslas aren’t like mobile devices where an update is available for everyone right away. There’s a little more that goes into pushing updates for vehicles, especially for a vehicle that can drive itself.
How Tesla Rolls Out Updates
Tesla rolls out updates to its fleet based on the vehicle's VIN, region, model, hardware, and other factors. The main reason Tesla rolls out updates in this manner is to minimize risk and to assess how an update is performing.
Rolling out updates slowly lets Tesla quickly iterate on their update and focus on feedback and bug fixes before a potential issue has the chance to affect a large number of vehicles.
If, for example, an update caused the MCU reboot
, making the display go dark while the vehicle was in motion, Tesla could more easily isolate the issue. Tesla would then be able to roll out a fix before the issue had a chance to affect a larger portion of their fleet.
Your vehicle model or other hardware in your vehicle is taken into account as well. For example, if Tesla is looking to gather feedback on a feature that requires MCU 2 or MCU 3, they may first send the update to those vehicles before releasing it more widely.
If you look at our software updates page you'll see that there are Tesla vehicles on a wide variety of updates. Some may be on the same major update, but on a different revision, while others may be one or two major updates 'behind'.
Although a vehicle can have an update that gets 'stuck' while downloading, that's usually relatively rare. If you notice that your vehicle falls too far behind, you can send a message to Tesla Service to see whether there is an issue with your vehicle.
What do the Numbers in Tesla Updates Mean?
Tesla's release process is why you may notice several versions for the same update.
For example, Tesla may first release update 2022.36, but as new issues are found and Tesla fixes them, Tesla will roll out further updates such as 2022.36.1 and 2022.36.2.
The 2022 in the version number stands for the year in which development began for this update. The 36 stands for the week number, and the last number stands for the revision of the update.
So in general, 2022.36.1 would include the same features as update 2022.36 but would contain several fixes for issues that were found in 2022.36, while 2022.36.2 would contain fixes that were fixed after 2022.36.1 was released.
This isn't always the case since Tesla does sometimes release new features with a minor revision, or but in general it's a good rule of thumb.
Once Tesla is confident they have solved all known issues, they'll then send out the update to the entire Tesla fleet.
Can I Force My Vehicle to Receive an Update?
Unfortunately, no. Under normal circumstances, there is no way to force your Tesla to receive an update. You'll simply have to wait until the update is available for your vehicle.
However, there are a couple of things you can do to receive updates as soon as possible.
It's not clear how much this toggle does anymore, but if you're interested in receiving updates as soon as they're available it's a good idea to toggle on “Advanced Updates” under the Software tab in your vehicle.
You'll also want to make sure your car is connected to Wi-Fi as often as possible, such as at home or work. Tesla prefers to download updates over Wi-Fi so this will ensure you get an update as soon as it's available to you.
You can track which updates are going out to by checking our software updates page.
How to Check if Your Tesla is Running the Latest Update
If an update is available for your Tesla, it will usually show up in your mobile app, although it's not clear how often the mobile app checks for updates. If you suspect an update may be available for your vehicle, you can check in your vehicle, although Tesla has recently started limiting this check to once per 24-hour period.
To check if there is an update available for your Tesla, tap Controls (the car icon), and then tap on Software. On the right side, you'll be able to check your vehicle's version and whether an update is available.
Your vehicle does not need to be connected to Wi-Fi to check whether an update is available
Do I Need to be on Wi-Fi?
For the most part, Tesla requires that updates be downloaded while the vehicle is connected to Wi-Fi.
However, there are exceptions to this. If an update includes important fixes or a recall then it is usually available over cellular. The same goes if you haven’t updated your vehicle in a while, are on FSD Beta, or other unique scenarios.
If you can't connect to Wi-Fi at home or work, you can try using public Wi-Fi networks or using your mobile phone as a hotspot for your vehicle.
In our continued series exploring Tesla’s patents, we’re taking a look at how Tesla automates data labeling for FSD. This is Tesla patent WO2024073033A1, which outlines a system that could revolutionize how Tesla trains FSD.
We’ll be approaching this article the same way as others in the past, by breaking it down into easily digestible portions.
Training a sophisticated AI model like FSD requires a tremendous amount of data. But all of that data needs to be labeled - and traditionally, this process has been done manually. Human reviewers have to go in and categorize and tag hundreds of thousands of data points across millions of hours of video.
This isn’t just laborious and rote work, it's time consuming, expensive, and prone to human error. The perfect job to hand off to AI.
Tesla’s Automated Solution
Tesla’s patent introduces a model-agnostic system for automated data labeling. Just like their previous patent on the Universal Translator, this will function for any AI model - but FSD is really what it is for.
The system works by leveraging the vast amounts of data collected by Tesla’s fleet to create a 3D model of the environment, which is then automatically used to label new data.
Three Step Process
This process has three steps, so we’ll look at each individually.
High-Precision Mapping
The system starts by creating a highly accurate 3D map of the environment. This involves fusing data from multiple Tesla vehicles equipped with cameras, radar, and other sensors. The map includes detailed information about roads, lane markings, buildings, trees, and other static objects.
It's like creating a digital twin of the real world, and this is exactly the simulation data that Tesla uses to rapidly test FSD. The system continuously improves its accuracy as it processes more data and also generates better synthetic data to augment the training dataset.
Multi-Trip Reconstruction
To refine the 3D model and capture dynamic elements of the environment, the system analyzes data from multiple trips through the same area. This allows it to identify moving objects, track their trajectories, and understand how they interact with the static environment. This way, you have a dynamic, living 3D world that also captures the ebb and flow of traffic and pedestrians.
Automated Labelling
Once the 3D model is sufficiently detailed, it becomes the key to automated labeling. When a Tesla vehicle encounters a new scene, the system compares the real-time sensor data with the existing 3D model. This allows it to automatically identify and label objects, lane markings, and other relevant features in the new data.
Benefits
There are three simple benefits to this system, which is what makes it so valuable.
It is far more efficient. Automated data labeling drastically reduces the time and resources required to prepare training data for AI models. This accelerates development cycles and allows Tesla to train its AI on much larger datasets.
It is also scalable. This system can handle massive datasets derived from millions of miles of driving data collected by Tesla's fleet. As the fleet grows and collects more data, the 3D models become even more detailed and accurate, further improving the automated labeling process.
Finally, it is accurate. By eliminating human error and bias, automated labeling improves the accuracy and consistency of the labeled data. This leads to more robust and reliable AI models. Of course, human review is still involved, but that’s only to catch and flag errors.
Applications
While this technology has significant implications for FSD, Tesla can use this automated labeling system to train AI models for various tasks.
Object detection and classification: Accurately identifying and categorizing objects in the environment, such as vehicles, pedestrians, traffic signs, and obstacles.
Kinematic analysis: Understanding the motion and behavior of objects, predicting their trajectories, and anticipating potential hazards.
Shape analysis: Recognizing the shapes and structures of objects, even when partially obscured or viewed from different angles.
Occupancy and surface detection: Creating detailed maps of the environment, identifying occupied and free space, and understanding the properties of different surfaces (e.g., road, sidewalk, grass).
These different applications are all used by Tesla - which uses different AI subnets to analyze all these different things before feeding them into the greater model that is FSD, which means things like pedestrians, lane markings, and traffic controls are all labeled on-vehicle.
In a Nutshell
Tesla's automated data labeling system is a game-changer for AI development. By leveraging the power of its fleet and 3D mapping technology, Tesla has created a self-learning system that continuously improves its ability to understand and navigate the world.
Imagine a world where self-driving cars can label and understand the world around them without human help. This patent describes a system that could make that possible. It uses data collected from many Tesla vehicles to create a 3D model of the environment, which is like a virtual copy of the real world.
This 3D model is then used to label new images and sensor data, eliminating most needs for human intervention. The system can recognize objects, lane markings, and other important features, making it easier to train AI models.
Back in 2021, while Giga Berlin was still undergoing construction, Elon Musk said that he wanted to fill the factory with graffiti artwork. Just months later, Tesla posted a submission link to find local artists for the project.
It remained relatively quiet for about two years until Musk resurfaced with a post congratulating the team on their progress—and revealing that the factory’s concrete would be entirely covered in art. By 2023, that vision was already taking shape. Tesla began by collaborating with local artists, who created much of the artwork seen in the 2023 image above.
The Giga Berlin West Side in 2023
Not a Tesla App
Graffiti at Scale
As expected from Tesla, they didn’t just hire a group of artists to paint and scale the walls. True to their ethos of autonomy, robotics, and innovation, they sought a more futuristic approach. The local crews couldn’t work fast enough or cover enough ground, so Tesla did what it does best—push the boundaries of technology.
Covering an entire factory in art is a massive undertaking, especially when that factory spans 740 acres (1.2 sq mi / 3 km²). With such an immense canvas, Tesla needed a high-tech solution.
More of the awesome digital artwork
@tobilindh on X
Enter a graffiti start-up that had developed a robotic muralist. Tesla partnered with the company, sourcing digital artwork from independent artists while also commissioning pieces from its in-house creative team. Armed with this collection, the robot meticulously printed the artwork directly onto the factory’s concrete, turning Gigafactory Berlin-Brandenburg into a futuristic masterpiece.
The Robot
Not a Tesla App
This ingenious little robot is equipped with a precision printhead and a sophisticated lifting mechanism. It moves using two kevlar cables that allow it to glide up, down, left, and right while a pair of propellers generates downforce to keep it steady against the wall.
The printhead itself is capable of painting approximately 10 million tiny dots per wall, adding up to a staggering 300 million dots just for the west-facing side of Giga Berlin. Each mural features five distinct colors, and the robot carries 12 cans of paint, ensuring it can keep working for extended periods without interruption.
Check out the video below to see the robot action, along with mesmerizing time-lapse footage of the printing process. It’s an exciting glimpse into how Tesla is blending technology and creativity at Giga Berlin—and we can’t wait to see what’s next.
![Tesla’s Giga Berlin Artwork: Where Creativity Meets Autonomy [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/2025/giga_berlin_art_tobias.jpg/074b092609d4477c5cafb71e90dbaf57/giga_berlin_art_tobias.jpg)
![Tesla Shows Off Robotaxi Cleaning Robot [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/2025/tesla_robotic_cleaner.png/08bbe7d309afe2f4bfee710a5df8cf25/tesla_robotic_cleaner.jpg)
