Tesla has started to roll out its latest update — 2022.40.1
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Tesla owners who are dog lovers no longer have to decide between Sentry Mode and Dog Mode. That is just one of several enhancements in the latest update — 2022.40.1.
Other improvements include battery preconditioning, driver door unlock and radio station logos, while existing features have launched in new regions.
New Features
Let's start with the Sentry and Dog Mode combo. Both of these features would rate high on items that Tesla owners appreciate about their vehicles. Sentry is a best-in-class security/surveillance system, and Dog Mode keeps the cabin at an appropriate temperature for your pet while you are away.
However, the two systems did not work together because Sentry would constantly be triggered whenever the dog moved inside the vehicle. For those who have dogs that love car rides, this meant not being able to use Sentry to protect your car and your dog. Now both features can be used together for most vehicles. This update silences Sentry Mode alarms while still recording and keeping the temperature safe for your pooch.
Listening to the radio may get more appealing with the addition of radio station logos to the media player.
The radio in a Tesla doesn't get a lot of recognition since competes against music streaming services and other entertainment that have much more engaging screens, but Tesla did a great job with its radio implementation.
The radio will automatically scan for local stations, so you can just tap to get to your favorite station. It also offers a direct input instead of a radio dial and now features radio station icons to make it easier to find your favorite station. With this update the list of radio stations has been changed to a grid to make room for the station name and logo. When playing an FM radio station, the station's logo will also appear in the album artwork area of the music player. (Photo credit to ArsalamiSandwich).
Tesla will now display radio stations logo in the media player
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Voice directions are now available in Hebrew in the Middle East. Tesla continues to expand the languages offered in its vehicles. It's estimated that 9 million people speak Hebrew worldwide.
Improvements to Existing Features
In an effort to speed up charging times, the thermal system control will now be optimized to match the charging station's power capability. The company has been expanding its vast network of Superchargers, which means there are many variations in the station output. This update means your Tesla won't waste too much energy preparing the battery if you're headed to a slower DC charging station.
Update 2021.44 added the ability to only unlock the driver's door when the handle is pressed to improve safety. However, it wasn't ideal when traveling with passengers as they would have to wait until you get into the vehicle to open the other doors.
With update 2022.40, Tesla did what it does best — improve vehicle features. If you have the Driver Door Unlock Mode feature on, you can now hold and press the interior driver door switch to unlock all vehicle doors and trunk.
If this update Tesla is also adding this feature to the new Model S.
To access Driver Door Unlock Mode, tap Controls > Lock > Driver Door Unlock Mode.
More vehicles and regions now have access to a consistent regenerative braking feel even when it's limited. For example, regenerative braking may not be available when the battery is at a max charge or in certain weather conditions. In May 2022, Tesla sent out an update to many areas and vehicles, allowing the car to behave the same way when it is decelerating with or without regenerative braking. This feature enables drivers to perfect the one-foot driving technique at all times.
With this update, it is now available for some legacy Model S and Model X vehicles.
With winter coming, the Tire Configuration program is now for the Model Y as well. It allows users to reset the learned tire settings after a tire rotation or replacement for an improved driving experience. To reset, tap Controls > Service > Wheel & Tire Configuration > Tires.
Other changes include exterior lighting improvements and Sentry Mode Live Camera Access added to Israel, Supercharger details included in China, and Boombox is now available in Japan. However, Hong Kong went against the trend as it continues to allow fewer features. The dashcam viewer has been removed, the country recently took away Tesla's arcade and Toybox.
At the 2025 Consumer Electronics Show, Nvidia showed off its new consumer graphics cards, home-scale compute machines, and commercial AI offerings. One of these offerings included the new Nvidia Cosmos training system.
Nvidia is a close partner of Tesla - in fact, they produce and supply the GPUs that Tesla uses to train FSD - the H100s and soon-to-be H200s, located at the new Cortex Supercomputing Cluster at Giga Texas. Nvidia will also challenge Tesla’s lead in developing and deploying synthetic training data for an autonomous driving system - something Tesla is already doing.
However, this is far more important for other manufacturers. We’re going to take a look at what Nvidia is offering and how it compares to what Tesla is already doing. We’ve done a few deep dives into how Tesla’s FSD works, how Tesla streamlines FSD, and, more recently, how they optimize FSD. If you want to get familiar with a bit of the lingo and the background knowledge, we recommend reading those articles before continuing, but we’ll do our best to explain how all this synthetic data works.
Nvidia Cosmos
Nvidia’s Cosmos is a generative AI model created to accelerate the development of physical AI systems, including robots and autonomous vehicles. Remember - Tesla’s FSD is also the same software that powers their humanoid robot, Optimus. Nvidia is aiming to tackle physical, real-world deployments of AI anywhere from your home, your street, or your workplace, just like Tesla.
Cosmos is a physics-aware engine that learns from real-world video and builds simulated video inputs. It tokenizes data to help AI systems learn quicker, all based on the video that is input into the system. Sound familiar? That’s exactly how FSD learns as well.
Cosmos also has the capability to do sensor-fused simulations. That means it can take multiple input sources - video, LiDAR, audio, or whatever else the user intends, and fuse them together into a single-world simulation for your AI model to learn from. This helps train, test, and validate autonomous vehicle behavior in a safe, synthetic format while also providing a massive breadth of data.
Data Scaling
Of course, Cosmos itself still requires video input - the more video you feed it, the more simulations it can generate and run. Data scaling is a necessity for AI applications, as you’ll need to feed it an infinite amount of data to build an infinite amount of scenarios for it to train itself on.
Synthetic data also has a problem - is it real? Can it predict real-world situations? In early 2024, Elon Musk commented on this problem, noting that data scales infinitely both in the real world and in simulated data. A better way to gather testing data is through real-world data. After all, no AI can predict the real world just yet - in fact, that’s an excellent quantum computing problem that the brightest minds are working on.
Yun-Ta Tsai, an engineer at Tesla’s AI team, also mentioned that writing code or generating scenarios doesn’t cover what even the wildest AI hallucinations might come up with. There are lots of optical phenomena and real-world situations that don’t necessarily make sense in the rigid training sets that AI would develop, so real-world data is absolutely essential to build a system that can actually train a useful real-world AI.
Tesla has billions of miles of real-world video that can be used for training, according to Tesla’s Social Media Team Lead Viv. This much data is essential because even today, FSD encounters “edge cases” that can confuse it, slow it down, or render it incapable of continuing, throwing up the dreaded red hands telling the user to take over.
Cosmos was trained on approximately 20 million hours of footage, including human activities like walking and manipulating objects. On the other hand, Tesla’s fleet gathers approximately 2,380 recorded minutes of real-world video per minute. Every 140 hours - just shy of 6 days - Tesla’s fleet gathers 20 million hours of footage. That was a little bit of back-of-the-napkin math, calculated at 60 mph as the average speed.
Generative Worlds
Both Tesla’s FSD and Nvidia’s Cosmos can generate highly realistic, physics-based worlds. These worlds are life-like environments and simulate the movement of people and traffic and the real-life position of obstacles and objects, including curbs, fences, buildings, and other objects.
Tesla uses a combination of real-world data and synthetic data, but the combination of data is heavily weighted to real-world data. Meanwhile, companies who use Cosmos will be weighting their data heavily towards synthetically created situations, drastically limiting what kind of cases they may see in their training datasets.
As such, while generative worlds may be useful to validate an AI quickly, we would argue that these worlds aren’t as useful as real-world data to do the training of an AI.
Overall, Cosmos is an exciting step - others are clearly following in Tesla’s footsteps, but they’re extremely far behind in real-world data. Tesla has built a massive first-mover advantage in AI and autonomy, and others are now playing catch-up.
We’re excited to see how Tesla’s future deployment of its Dojo Supercomputer for Data Labelling adds to its pre-existing lead, and how Cortex will be able to expand, as well as what competitors are going to be bringing to the table. After all, competition breeds innovation - and that’s how Tesla innovated in the EV space to begin with.
Last night, Tesla released software update 2024.45.25.15, which includes FSD V12.6.1. This update adds support for all HW3 vehicles, including the Model 3 and Model Y. We’re excited to see the continued support for HW3 owners.
FSD V12.6.1
V12.6.1 is now going wide, according to Ashok Elluswamy, Tesla’s VP of AI. This update is going to the Model 3 and Model Y for the first time - as only the Model S and Model X were included in FSD V12.6.
V12.6 is a big step forward for HW3 - it includes End-to-End on Highway, Improved City Streets Behavior, and Smoother and More Accurate Tracking - all contributing towards a better, smoother, and more comfortable build of FSD. You can read our comparison between FSD V12.6 and V13.2.2 here.
In short, FSD V12.6 performs considerably closer to V13 than V12.5.4.2 - which is a massive improvement. It performs as well as the Cybertruck version of FSD V13, which is still missing a few features when compared to other HW4 vehicles, but it’s a great sign for HW3. A lot of the improvements can be pointed to in the improvements to lane selection and decision-making - the vehicle tends to hesitate far less on V12.6, meaning the ride is a lot smoother. Many early V12.6 testers mentioned that it felt more like V13-mini than anything else.
Legacy Model S & X
We haven’t seen this update hit any legacy Model S and Model X vehicles just yet. We’re not sure whether Ashok’s statement of “generally” applies here - but it should. If you do get the update, please let us know.
Legacy Model S and Model X vehicles are still on an older FSD build and potentially won’t see another FSD update for a little while longer. While they do have the same FSD hardware as other vehicles, there are enough hardware differences that require a build specifically for these vehicles.
FSD V12.6.1 is going out now to the redesigned Model S and X with HW3 and all Model 3 and Model Y vehicles with HW3. The initial wave went out last night, and we expect to see more later today or tomorrow. If this release ends up going “wide,” we should see much larger waves go out next week.
