So, with Halloween all squared away, the next big holiday coming up is Christmas. Each year, Tesla releases a big Holiday update packed with features. Last year’s update included some awesome features, including alternate routes, the Vision upgrade for Park Assist, Speed Cameras and Traffic Light icons, and the Automatic Blind Spot indicator, among others.
We already know that update 2024.44 - the Holiday Update Branch - is coming with Blind Spot Monitoring while Parked, Supercharger Improvements, and more. But, we’ve got a ton of good ideas that we hope will make the list, so put down your pumpkin spice, and grab your egg nog. It’s the holidays, and it’ll be Cybertruck’s first Christmas, so let’s celebrate!
Apple Watch App
First up—the Apple Watch app. This has been a highly requested feature over the past couple of years, and it looks like Tesla is listening. Tesla has apparently already begun development to support the Apple Watch in app update 4.38, so we’re expecting this to arrive as part of the big Holiday update. We’d love to see an equivalent app for Android-based watches, too.
Phone Left on Charger Alert
It’s easy to forget your phone inside of the vehicle, especially if it’s on the phone dock. A simple app alert that a phone has been left in the vehicle would be really useful. Tesla could potentially even tell the difference between a driver’s phone and a passenger’s phone, depending on the vehicle’s profile being used or which doors were open and closed.
Either way, just receiving an app notification if a phone is left in the car would be really useful, especially since your phone is your car key.
Live Activities
Not a Tesla App
iOS introduced support for Live Activities with iOS 16.1 in October 2022. Live Activities are auto-updating, persistent notifications that can provide real-time information about a certain task. Live Activities are used to provide real-time information about your Uber arrival or the status of a flight. In Tesla’s case, they can be used for instances where up-to-date information may be important, such as when Supercharging or when Sentry Mode is active.
Arrival State of Charge
A popular request among Tesla owners is the ability to set a desired battery charge percentage upon arriving at a destination. This past year, Tesla has added several features to the app’s Trip Planner, including waypoints. Although the app lets you choose a starting charge percentage, it does not let you pick the state of charge at your destination.
If you’re traveling somewhere without a nearby charger, this becomes an issue. It’d be nice if the Tesla app let users pick their desired state of charge at arrival, and the route planner would automatically recommend charging stops and durations to reach that target.
Not a Tesla App
Light Show Support
Tesla Lightshows are great, but they could be made even better with Tesla app support. At the very least, it’d be great to be able to start/schedule or stop a light show from the app.
To really make light shows shine, Tesla could add the ability to create a light show directly from the app. Right now creating a light show involves using the open-source app xLights on a computer, so a simplified version of it running in the app would make it accessible to a lot more users.
Perform a synchronized light show with multiple Tesla vehicles…and a new song 🎶
Similar to an in-vehicle preconditioning button for 3rd party chargers, the Tesla App should also have a button to precondition the battery. This will make it easy for users, especially those who don’t have home charging – to get their vehicles ready for DC Fast Charging before departing.
Garage Door Controls
Tesla owners with HomeLink can control their garage doors directly from the vehicle. However, the Tesla app currently only allows users to open the first programmed garage door and doesn’t give the user access to any of the other programmed doors. Adding the option to choose which garage door to open via the HomeLink button would be a valuable addition—especially useful when paired with Actually Smart Summon.
Drive Stats
While Tesla already records and displays charging sessions in the app’s Charge Stats section, it’d be really helpful if Tesla also added the ability to record drives. That way, you could easily track how much your vehicle was driven on a particular day, week, or over the course of the year.
If you have any other suggestions, let us know in our forums. Who knows, some Tesla product managers may even be listening.
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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