With the launch of Tesla’s Robotaxi service, Tesla also introduced the new Robotaxi app. The app is currently only available to influencers who have access to the service, but it’s expected to roll out to everyone once the service is available to the general public.
Let’s have a look at all the features available in the current version of the app.
Sign In
From the moment you open the Tesla app, you’re greeted with a photo of the Model Y robotaxi. Although Tesla is using Model Ys in a variety of colors, the app theme uses the gold Cybercab color.
Similar to the Tesla app, you can sign in with your Tesla account or create a new account. Once you sign in, Tesla will automatically pull data from your Tesla account, including your profile photo and payment information.
This ends up being a really nice experience, similar to Supercharging. Whenever you reach your destination, there’s nothing to pay or do except to grab your belongings and exit the vehicle.
Search and Select Destination
Rob Maurer
Once you’re logged in, you get a map of your current location. You can see your current location on the map and the Robotaxi geofence.
Underneath, you have a search box to add a destination or filter for nearby places such as food and shopping. Tesla also includes your previously searched for destinations below that.
Before you even type anything in, Tesla lets you know the wait time for a Robotaxi at your location. Tesla also currently displays the fee even before you select a destination, as it’s currently a flat fee of $4.20. However, in the future, this will likely be displayed after you choose your destination.
Waiting For Your Ride
Sawyer Merritt / DirtyTesla
Once you’ve chosen a pickup location and destination, Tesla will show you the status of your taxi. You can track it in real-time on a map, and it’ll display a visualization of the vehicle and its ETA at your pickup location. It’ll also provide an estimate of when you’ll reach your destination.
A nice touch is that the app displays your vehicle’s color in the visualization and license plate, making it easier to find the vehicle when it arrives.
While you’re waiting, you can cancel the pickup or report an issue.
When Your Vehicle Arrives
@BLKMDL3
When your Robotaxi finally arrives, you’ll have access to some of the vehicle's controls, such as sounding the horn, flashing its lights, locking and unlocking it, and opening the trunk.
Live Activities
Tesla is also providing a Live Activity while you’re waiting for your ride, so that you can continue to track the vehicle even if you’re not in the Robotaxi app.
@DirtyTesla
Joe Tegtmeyer on X
Robotaxi Tips
@DirtyTesLa on X
The exterior lights pulse prompt in the app.
@DirtyTesLa on X
Tesla provides several tips in the app while you’re waiting for your vehicle. It’ll show you how to use the Model Y's handles, in case you’re not familiar with them. It’ll also remind you that the vehicle’s lights will pulse when it arrives at your pickup location, helping differentiate it from other Teslas on the road.
You can swipe left and right for additional tips.
Menu
Sawyer Merritt
Similar to the Tesla app, the Robotaxi app features a menu with similar options. It includes options we’re already familiar with, such as Security & Privacy and Payment. New to the Robotaxi app are Data Sharing, Ride History, Support, and Appearance.
Ride History: The Ride History section shows you all of your previous rides. It’ll display all of your rides broken down by date and destination. It’ll also include the fee and the time you were picked up.
If you tap into any ride, you’ll be able to see the route the Robotaxi took for that ride, as well as your pickup time, arrival at destination, distance, and fee.
On this screen, you can also report a lost item, but we have yet to see what that looks like.
Appearance: Unlike the Tesla app, which uses a dark theme throughout the app, the Robotaxi app lets you switch between light and dark modes. Unlike other apps, there isn’t an option for Auto to have it reflect what you’re using in the OS.
Sawyer Merritt
Data Sharing: The Data Sharing section includes an option to turn off device location, although Tesla requires it to be enabled to book a ride. Your location is tracked through the app even when the app isn’t running in the foreground. While Tesla said that cabin camera and microphone use would only be used when a rider agrees, they are requiring these optiosn to be turned on to actively details during the early-access period.
Support: Support currently has options to report a lost item or report a found item. While you can reach out to Tesla Robotaxi support in the vehicle, it doesn’t look like you can do it after the ride has completed.
Sawyer Merritt
Adjust Vehicle Settings
If you open the app while you’re in an active ride, you’ll be able to adjust various vehicle settings. This includes the cabin temperature, music controls, and volume.
Sawyer Merritt
Call Support or Pull Over
Similar to the controls on the rear screen of the vehicle, you can also call support or have the vehicle pull over directly from the Robotaxi app. While the safety monitor has additional controls, such as Stop in Lane, users are limited to these two buttons.
Tipping
Sawyer Merritt / DirtyTesla
At the end of your ride, you’ll need to tap Finish Ride and Tesla shows you how to exit the vehicle. You’ll also be able to open the trunk or reach out to Tesla support.
You’ll be given a chance to rate your ride and even tip the driv— car. However, Tesla has a little easter egg for anyone looking to tip, which can be seen in the video below:
The Robotaxi app is currently being offered to 20 influencers who were invited to the event through a special link. Unfortunately, it’s not yet available in the App Store. While influencers could bring one guest with them, only the invitee could download and use the Robotaxi app.
The app is currently only available for Apple devices and its version 25.6.0, but it’s expected to have an Android counterpart when, or shortly after, it launches to the public.
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Tesla has unveiled its 6-seat Model Y variant in China, known as the Model Y L. This new variant of one of the world’s best-selling vehicles comes with a longer wheelbase, adjusted C-pillar design, and most importantly, a six-seat interior layout.
The vehicle’s specifications have been officially listed in a filing with China’s Ministry of Industry and Information Technology (MIIT), confirming a launch for this fall.
Not a Tesla App
The addition of a longer wheelbase and a more spacious third row is a fantastic addition for the Model Y’s family utility, and positions this variant as sort of a mini Model X, but let’s compare the sizes to really know how this new Model Y compares to a Model X.
Meet the Model Y L
The defining feature of the new Model Y L is its six-seat configuration. This layout has previously been exclusive to the larger and more expensive Model X. While Tesla has offered the Model Y in a 7-seat configuration before, the third row was much too small to be utilized by anyone but small children.
Comparing Model Y L to the Model X
@xiaoteshushu on X
Let’s compare this upcoming Model Y L to the regular Model Y and the Model X.
Vehicle/Dimension
Wheelbase
Overall Length
Model Y
2,890mm / 113.8 in
4,797mm / 188.9 in
Model Y L
3,040mm / 119.7 in
4,976mm / 195.9 in
Model X
2,965mm / 116.7 in
5,060mm / 199.2 in
The new wheelbase of 3,040mm is a significant stretch from the standard wheelbase, and in fact, is longer than the Model X’s wheelbase of 2,965mm. However, the overall length of the vehicle is 84mm (~3 inches) shorter than the Model X. This means the vehicle sits neatly between the current Model Y and Model X, filling a much-needed gap.
While this Model Y L is slightly smaller than the Model X, it doesn’t necessarily mean that it’s smaller inside. The Model X features a much larger front end than the Model Y, accounting for several inches. When you line up the front wheel base of the Model X with this new Model Y, the vehicles are almost exactly the same length.
Tesla has designed this Model Y to be a bit more compact and efficient than the Model X, and likely much cheaper, while featuring the well-loved design of the new Model Y.
Other Specifications and Price
The MIIT filing also provided a detailed look at some additional specifications. The Model Y L is a dual-motor, AWD variant, so it will likely be more expensive than the current Model Y AWD that’s available in China today. Tesla charges an additional $6,500 USD when upgrading the Model X from a 5-seat configuration to a 6-seat layout, so we may see something similar here.
The extra length has been added behind the C-pillar, resulting in a longer rear profile for the Model Y L. To accompany this, Tesla has added an updated rear spoiler, similar to the one found on Performance variants, but not carbon fiber. There is also a new wheel design to complement the updated look, along with unique Model Y L badging and a new light gold paint option.
In classic Tesla fashion, no Tesla is slow - and the Y L has a 0-100 km/h (0-60mph) time of 5.9s, with a top speed of 217km/h. Alongside an 82.5 kWh LFP battery pack, the Model Y L boasts an impressive CLTC range of 688 km (427 mi).
Not a Tesla App
Launch & Availability
According to posts from Tesla China on Chinese social media, the new Model Y L is scheduled to launch in the fall of 2025. Its official listing in the MIIT database is essentially the final regulatory step required before sales can begin, which means the launch is really just around the corner. For now, it appears that Tesla intends to launch this vehicle only in China, as no other filings have been made in other regions. However, these could be revealed in the coming months.
The new Model Y L is a huge addition to Tesla’s lineup - one that addresses the Chinese preference for vehicles with longer wheelbases and additional passenger room in a compact SUV package. The question is - will this variant make its way to North America and Europe?
Solving real-world artificial intelligence - whether for autonomous driving, real-world robotics, or advanced reasoning - requires an almost unfathomable amount of computational power. To meet this challenge, Tesla has been developing its own custom AI training hardware while simultaneously purchasing hardware in the open market.
Now, the next-generation Dojo 2 chip has reportedly entered mass production with the world’s largest semiconductor manufacturer, TSMC. While many may consider this a side quest, expanding Tesla’s computing base will be necessary to achieve exascale supercomputing, which will be crucial for all of Tesla’s AI ambitions.
Elon Musk called Dojo 2 “a good computer,” and then followed up with a classic computer performance joke - Dojo 2 can indeed play Crysis at a billion frames per second.
While Tesla has effectively utilized powerful third-party GPUs to train its models to date, the Dojo supercomputer is a ground-up, application-specific solution designed for a single purpose. It will efficiently process massive amounts of video data for training neural networks. The Dojo 2 chip itself is the key that unlocks this potential.
Dojo 2 will train the vision-based neural nets that FSD relies on, allowing Tesla to process video from its massive global fleet of vehicles even faster. As Tesla continues to improve FSD, one of the biggest challenges has been the intake of video for handling difficult edge cases.
Hundreds of thousands of miles of training data may pass by before an edge case is identified and trained on, but it all needs to be analyzed, labeled, and processed, which is key for Dojo 2. Each new useful piece of training data will help Tesla proceed down the march of 9s, making FSD just that little bit better every time.
This process requires massive amounts of compute and training time - but it is an absolute necessity to improve FSD. Of course, this goes beyond just FSD in vehicles. Tesla’s humanoid robot, Optimus, also runs on FSD to navigate and interact with the physical world.
While it may be a custom version of FSD, it remains FSD at its core, which means the same neural nets that analyze the environment and build a 3D map of the world for your car perform the same work for Optimus.
Not a Tesla App
Custom Approach to AI Hardware
Dojo 2’s power doesn’t just come from raw compute; it comes from a series of architectural choices that make it excel at training FSD and differentiate it from general-purpose hardware, or even other AI-specific hardware.
To this end, Tesla is using TSMC’s new Integrated Fan-Out with Silicon-on-Wafer (InFO-SoW) packaging technology. For massive AI workloads, heat and the speed at which data moves between chips are often the biggest bottlenecks.
This new packaging technique allows for high-bandwidth connections directly between processing dies, which lowers latency and dramatically improves heat dissipation, all key to building massive and dense compute clusters.
Unlike general-purpose chips, Dojo 2 is designed with a custom instruction set, specifically built to train FSD. The cores are specifically made to accelerate the exact mathematical operations, like matrix multiples and systolic arrays, which form the backbone of Tesla’s vision-based neural networks.
By building its own hardware, Tesla can then integrate its own software and compilers directly with the silicon, optimizing for specific workloads and avoiding the performance penalties that can result from using third-party software, such as Nvidia’s CUDA.
The start of Dojo 2 may seem like a side quest for some, but it’s actually a key step for Tesla’s AI technologies that give them an advantage over the competition using off-the-shelf hardware. They’ll need to continue investing in custom hardware to improve FSD at a reasonable pace, rather than the current glacial pace we’ve seen over the last few months.
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