When we get a new car we love to add those little touches that make it our own. Tesla owners are no different, except you’ll probably find a higher percentage of serious ride-pimpers amongst Tesla owners than other car brands.
And there are so many options. Want to organize the vast central console space more efficiently? Need to protect the boot carpets from your wet skis? Even upgraded hard drives for Sentry Mode and in-car refrigerators are available.
But all these perks and polishes are best appreciated by you, inside the car. What about projecting your personality to those around you? A custom wrap or a paint job is nice, but there’s another way. License plates.
What better way to let your sense of humor show, give a gentle ribbing to the gas guzzlers following you, or make a serious point about why you went green. Let’s take a look at some of the options you might want to consider for a custom plate.
Many countries allow you to purchase a license plate with your own choice of letters and numbers. Sure, you could go for your name or something that means something to you alone.
But why not lean into the Tesla vibe with your plate, and make a statement! Here are five genuine plates already out there.
LOL OIL
While quite a nice sentiment at the best of times, the recent skyrocketing of oil and gas prices has probably made this Tesla owner more ROFL OIL than a mere LOL.
3VOLVED
@Lucybri83
This Model 3 owner shared her new plate on Twitter, and admitted that she reserved this plate 2.5 years before getting hold of the car itself. That’s dedication to the cause: in this case throwing out a cleverly ambiguous statement that could be taken as an observation on Teslas, EVs, or EV owners’ level of evolution. Nice twist on replacing the E with a 3, a la Model 3.
THX 3LON
@sampagnepapi_
Continuing the ‘Tesla E’ theme of throwing in the number 3 instead, this owner knows who is responsible for this slice of happiness. I wonder if it’s appreciation for the vision and achievements of Elon Musk and his team, or whether the car was a personal gift from Elon?! Probably not the latter.
BUY TSLA
@sampagnepapi_
You don’t need to be a certified financial advisor to offer this advice. This Model X owner is clearly playing the long game, in more ways than one. Looking at the healthy level of dirt on the bodywork, this license plate is a commitment to the stock market strategy of going long on Tesla, and the owner doesn’t look like they’ll be changing their advice any time soon.
NOPLANETB
@smarlo35
Straight to the point, if you’d rather not beat around the bush with the environmental message through gentle humor, lest the message be lost, you could take a leaf out of this Australian owner’s book.
Unfortunately, some folk can’t get a vanity plate and are forced to go with a regular random assigned plate. Where I am in Switzerland, you can choose your number from a catalog, and it looks like that’s the case for @thevoltmonkey in Germany too:
Quite an inventive way of proclaiming this Tesla as not just any old Tesla, but ‘Dah Tesla’.
So maybe you can see if one of these options are available in your area, or perhaps you can think along some other pun lines. Model Y owners can have some fun with Y OH Y, Y BE MAD, or YNOT. Or any Tesla owner could consider an electricity pun, for example, OHM RUN, PLUG IN or SAY WATT.
There’ll be some limits, depending on where you are. There’s usually a minimum and maximum number of characters allowed. Often, nothing that can appear obscene or offensive will be allowed, and there are stories of people in Canada and some US states retrospectively being ordered to give up their plates due to bad language or perceived discrimination against an ethnic minority group. In the UK, you can’t have a Q at the start of your number (they are reserved for kit cars) or display a number that could appear to show the car as younger than it really is, as standard plates include the year of registration - so including ‘22’ on a car manufactured in 2020, for example.
Of course, whether or not you’ve got the perfect plate, there’s nothing stopping you from making a little nod to your likes and wants through the plate holder…
Now, when the full self-driving revolution is complete, will there still be a need for license plates anyway? If there are no more driving infractions, and the Robotaxi fleet means the end of parking fines, do the authorities need the plates anymore? Or will every car be identifiable through a unique identifier broadcast by the computer?
In the meantime, make the most of those customized plates.
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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)
