The next major upgrade for Tesla’s in-car experience is pretty much already here - just hiding beneath the surface, awaiting the flick of a switch. According to new details uncovered by Tesla hacker Greentheonly, a fully functional version of the Grok conversational AI assistant is already present in recent firmware builds, just waiting for Tesla to activate it.
The feature, which is currently behind a server-side switch, could be enabled at any time by Tesla for vehicles running update 2025.20 and newer. The findings provide a better picture of what we already learned from Green’s breakdown on Grok last month.
Grok’s Requirements
@greentheonly on X
According to what Green determined from the latest software builds, the foundation for Grok was laid with update 2025.14, with more abilities and functionality added in 2025.20 to flesh it out. He also determined exactly which vehicles will be receiving Grok.
In terms of hardware, any vehicle with a Ryzen-based infotainment computer will receive Grok. This means that vehicles with the older Intel Atom processor will not be supported, at least initially. The underlying Autopilot hardware is not a factor, as Grok’s processing is not done in-vehicle.
Grok will also require premium connectivity or a Wi-Fi connection for the vehicle. At this point, we’re not sure whether Grok in your Tesla will also require you to sign up for SuperGrok, X Premium, or X Premium+, but Tesla is requiring you to sign into your Grok account. It’s just not clear whether the free version of Grok will work, or if you’ll need the premium version.
Grok User Experience
@greentheonly on X
Green also revealed the user interface for Grok for the first time. You’ll find many of the same features from the Grok app, but surprisingly, it looks like it’ll have a dark UI, even if you’re using light mode in your vehicle.
It appears that there will be a Grok app, likely for settings. However, Grok will largely operate in a modal, similar to voice commands, which are displayed near the bottom left corner of the screen.
There’s an on-screen microphone button, as well as drop-down menus for the voice and type of assistant you’d like to use.
Similar to the Grok app currently on mobile devices, you’ll be able to select from a set of voices and then define their personality. The available voices for now are the standard Ara (Upbeat Female), Rex (Calm Male), and Gork (Lazy Male).
There’s also a settings button, which, when expanded, allows you to enable or disable NSFW mode (including swearing and adult topics), as well as a Kids Mode, which will tone Grok down to be suitable for when kids are in the car.
@greentheonly on X
How Grok Will Work (Button / Wake Word)
Users will be able to activate Grok by pressing a button, likely the same one that activates voice commands today. Grok will then remain enabled for the duration of your conversation, allowing you to go back and forth, asking and answering questions. To end your conversation, you’ll press the mic button again.
While it doesn’t appear to use a wake word yet, Green says that some code refers to a wake word, so it’s possible that this could be an option Tesla plans to activate in the future.
Replacing Voice Commands
The most significant implication of Grok’s future integration is in its potential to fully replace the existing and relatively rigid voice command system. Green notes that internally, this feature is part of the car assist module, and that eventually, the plan is for Grok to take over car control functions.
Unlike the current system, which requires specific phrases, a true conversational AI like Grok can understand natural language. This will enable more intuitive requests, completely changing how drivers interact with their car.
Language Support
@Greentheonly/X
Grok will also launch with multi-language support, similar to its current abilities in the Grok app. Green says that it already appears to have support for English and Chinese and one or two other languages.
Release Date
Grok appears ready to go from a vehicle standpoint, but Green wasn’t able to actually test it out. While development appears to be nearly complete in the vehicle, Tesla and xAI may still be working on some server-side changes to better integrate with the vehicle. If they plan for Grok to replace voice commands on day one, then it’ll need to be trained and be able to execute a variety of vehicle commands.
It’s possible Tesla is actively testing Grok or adding server-side changes to replace voice commands. However, it looks like vehicle development is nearly complete and Grok could launch as soon as the next major Tesla update, which is expected to be update 2025.24.
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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.
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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).
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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.
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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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