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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Tesla has published a 16-post series covering a wide range of unique scenarios against which the company tests each FSD release. Tesla’s VP of AI, Ashok Elluswamy, also provided some additional context, which we’ll cover below.
These scenarios could be difficult for a regular driver to respond to and are a good demonstration of FSD’s capabilities. Let’s take a look at all the different scenarios that Tesla regularly tests against. According to Ashok, these tests are only one of 10 ways Tesla validates their software. These tests were done against FSD v12.5.6.3, the HW4 build that’s on approximately 20% of the fleet.
We’ve embedded each video below and also provided some additional information.
1. Reverse Cut-in (Occluded)
This first test is for a car reversing out of a parking space, while occluded (vision blocked) by another car or obstacle. In the test, the Model Y notices the incoming car and then brakes with space left over.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">Every FSD release is rigorously tested, including rare and adversarial scenarios on closed courses — Here's 16 examples:<br><br>1. Reverse Cut-in (Occluded) <a href="https://t.co/VWBKDgVuUc">pic.twitter.com/VWBKDgVuUc</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795396584591799?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
2. Peeking (Occluded)
In this video, it's hard to even spot the car on the right that’s “peeking” forward—it's occluded by bushes on the side of the road. FSD notices and stops in time to let the other vehicle safely pass.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">2. Peeking (Occluded) <a href="https://t.co/DO3RBhahdy">pic.twitter.com/DO3RBhahdy</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795398463562108?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
3. Left Turn Cut-in
An incoming vehicle that takes a left turn to enter the same lane of travel as FSD - spotted, stopped, and then continuing smoothly. In the second shot, you can see FSD left a considerable amount of space to let the vehicle cut in.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">3. Left Turn Cut-In <a href="https://t.co/ie7VQ9Smtj">pic.twitter.com/ie7VQ9Smtj</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795400300736695?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
4. Parallel Cut-in (Occluded)
This is honestly one of the most common scenarios on a highway - someone cuts in while obscured into your lane of travel. Once again, FSD does its thing with plenty of space to spare.
FSD’s path planner plans an overtake around a stationary vehicle here, sees the oncoming traffic, and politely waits its turn to continue. This is another everyday scenario, especially on urban and suburban streets.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">5. Yield for Oncoming During Overtake <a href="https://t.co/hXWLCIEHu2">pic.twitter.com/hXWLCIEHu2</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795404184646103?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
6. Stop Sign Right-of-Way Violator
There are a surprising number of people who don’t know how stop signs work. However, FSD does know how they work and also knows what to do if others act unpredictably. This is one of the best demonstrations of FSD’s capability to react quickly and effectively to unpredictable behavior on the roads.
Another overtake scenario, but this time the vehicle being overtaken throws open its door into traffic. Not necessarily the wisest of moves, but humans are unpredictable. Good to see Tesla working to save its vehicles from both hitting the door or having the door hit with its new Blind Spot Monitoring While Parked feature.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">7. Door Opening During Overtake <a href="https://t.co/ZMDd3BWXI7">pic.twitter.com/ZMDd3BWXI7</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795408030872022?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
8. Right Turn Harsh Braking
This scenario is another common one - someone is taking a right turn, and you expect them to complete the turn, but they go ahead and slam on the brakes. Here, FSD brakes in time - using Automatic Emergency Braking - and then continues safely. Tesla has been working to improve AEB and the scenarios it can react to - and these are all a part and parcel of FSD’s real-time and active safety features.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">8. Right Turn Harsh Braking <a href="https://t.co/s4PldABmhK">pic.twitter.com/s4PldABmhK</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795410023161991?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
9. Left Turn Across Path
This one is pretty clean-cut - someone takes a left turn even though you’re on your way through the intersection. This particular accident is one of the most common - 53% of cross-path accidents involve a left turn through an intersection where a side impact will be lethal. FSD can make a big difference - over 8,000 people die in North America alone in this particular scenario.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">9. Left Turn Across Path <a href="https://t.co/MYKj4Z352f">pic.twitter.com/MYKj4Z352f</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795411927363782?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
10. Cut-Out to Static Cone
Here, FSD smoothly reacts to an object on the road as the vehicle ahead dodges it. We’d love to see this scenario done with different types of objects or debris, as this is another common item - especially with roadkill on country roads. A good demo of FSD’s collision avoidance maneuvers too!
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">10. Cut-Out to Static Cone <a href="https://t.co/l4OYzLK6XB">pic.twitter.com/l4OYzLK6XB</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795413802148027?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
11. Dynamic Debris (Dropped Cone)
Taking it one step further, FSD successfully notices, slows down, stops itself from hitting the bouncing cone, and then makes it around safely. If you’ve ever seen someone strap something down in the bed of a pickup and forget to say “This ain’t going anywhere” - this is that exact scenario.
Another high-speed occluded cut-in, this time for a vehicle making a U-Turn from an oddly shaped intersection. FSD started braking the moment the first couple pixels of the Model Y were beyond the bush occluding vision. With a human’s reaction time, this would have resulted in a T-bone.
Ashok Elluswamy, Tesla’s Director of AI - mentioned that this is possible because of low latency and high intelligence - combined together, it enables FSD to make a threat assessment and decide what to do, very quickly. It also considers the potential of a rear-end collision - and there is collision avoidance baked into that decision-making.
Similar to the cone cut-out, this one happens at 73mph (117km/h)! FSD sees the car dodging, notices there’s an obstacle, and moves out of the way without dropping speed.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">13. High Speed Cut-Out to Stationary Vehicle <a href="https://t.co/qC8JQU4WH1">pic.twitter.com/qC8JQU4WH1</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795419904888941?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
14. High-Speed Harsh Braking
Another common scenario - in fact, the number one reason why pileups occur on highways is the harsh, sudden braking of vehicles in front. FSD once again notices and comes to a safe stop here.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">14. High Speed Harsh Braking <a href="https://t.co/YD76gh5b2m">pic.twitter.com/YD76gh5b2m</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795421926556023?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
15. High-Speed Stationary Child
Tesla has been previously greatly criticized for its ability to come to a safe stop for children playing on the road. Here, Tesla is demonstrating its capability of doing so - once again with highway speeds of 73mph.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">15. High Speed Stationary Child <a href="https://t.co/sh8xoMo8eF">pic.twitter.com/sh8xoMo8eF</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795423902040488?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
16. High-Speed Crossing Child
And to really make the point - it can do it with a crossing child too. Tesla has made a strong commitment to safety for vulnerable road users, and this is a good way to show how it works.
<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">16. High Speed Crossing Child <a href="https://t.co/t6bxJpZOZn">pic.twitter.com/t6bxJpZOZn</a></p>— Tesla AI (@Tesla_AI) <a href="https://twitter.com/Tesla_AI/status/1860795425814720632?ref_src=twsrc%5Etfw">November 24, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
That’s a lot of unique scenarios that Tesla tests against - and each and every build has to be vetted against this huge list of different safety tests in order to ensure that the build that ends up in customer hands is as safe as possible. With FSD v13 looking like it's coming soon, we’re excited to see where this takes Tesla next.
With Musk announcing that FSD v13 is coming soon, it really is starting to feel like Unsupervised FSD and Robotaxi could be pushed out sometime next year.
Tesla announced an updated roadmap for FSD in late October. With it, they announced that FSD v13, the one that’s expected to make Unsupervised FSD feature complete (although not 100% reliable), would start being sent to employees by the end of the week.
We have yet to see any hints or sightings of employees testing FSD v13, but Elon Musk has now stated that FSD v13 is coming soon.
It sounds like Musk is talking about the employee release as it usually does, but it’s not immediately clear. Tesla originally predicted that select owners would receive FSD v13.3 around Thanksgiving.
Musk also mentioned that FSD v13 is trending to be about 500% better than the current build of v12.5.5.3 on the Cybertruck. If that’s true, Unsupervised FSD is just a regulatory leap away, rather than a technical or training challenge. However, let’s remember that Musk has often thrown out these vast improvement numbers that don’t appear to materialize when the update rolls out to customers. There’s no doubt that FSD v13 will be a big milestone and have several new features, such as Autopark at destination, Unpark and more, but the much lower miles per intervention will likely come in later revisions.
Tesla has already seen drastic improvements this year, moving from V11.4.9 to v12.3.6, and then more recently to V12.5.4.2. Each successive build has had major improvements in how FSD is able to react and respond in real-time while also becoming smoother and safer.
We’re in for some exciting times as an even better FSD version makes its way to customers soon. And in order to really make the point, Tesla has also shown off how they conduct FSD Safety Testing in a series of videos, which we’ll include below.