Tesla has started rolling out FSD v12 to employees
Not a Tesla App
Elon Musk announced earlier this month that Tesla's Full Self-Driving (FSD) v12 would be released in two weeks. The usual timeframe reference Musk is famous for was met with skepticism. However, it seems that Tesla is right on track with its rollout.
We have learned through a trusted source that FSD v12 has started rolling out internally with Tesla update 2023.38.10.
Update: Musk has responded to our article on X, confirming that Tesla has indeed starting rolling out FSD v12 to employees.
FSD v12 is the update that is expected to remove "beta" from the title. The initial rollout to employees appears more limited in scale than previous updates. Considering the magnitude of the changes in this version, it makes sense to start slow.
Public Release
The timing of this internal release is close to two major Tesla events. The Cybertruck delivery event is just a few days away. Many eyes will be on the company during the event, allowing Tesla to possibly show the world its latest breakthrough. Alternatively, the highly anticipated holiday update, often regarded as the best update of the year, is expected to be released by 'Santa Musk' in the coming weeks, potentially featuring v12 as a significant addition.
Newer Features
The latest public FSD build, v11.4.7.3, is Tesla update 2023.27.7. This FSD build is several revisions behind the latest production builds, so it's nice to see that v12 will bring FSD beta testers back up to speed with some of the latest Tesla features such as Predictive Charger Availability, Faster Hazard Lights After a Crash, and other features included in updates 2023.32 and 2023.38.
As for FSD improvements, we haven't had a chance to see the release notes for FSD v12 yet. However, now that it has started going out to employees, it shouldn't be long before we find out all the FSD improvements included in this milestone release.
FSD v12: A Leap Forward with Neural Net Use
A significant change in v12 is eliminating over 300,000 lines of code previously governing FSD functions that controlled the vehicle, replaced by further reliance on neural networks. This transition means the system reduces its dependency on hard-coded programming. Instead, FSD v12 is using neural networks to control steering, acceleration, and braking for the first time. Up until now, neural networks have been limited to detecting objects and determining their attributes, but v12 will be the first time Tesla starts using neural networks for vehicle control.
The FSD v12 represents a significant leap in Tesla's FSD technology. Musk has described it as an "end-to-end AI", employing a "photon in, controls out" approach akin to human optical processing. This analogy underscores Tesla's ambition to replicate human-like decision-making capabilities in its vehicles.
Labeled as a "Baby AGI" (Artificial General Intelligence), the system is designed to perceive and understand the complexities of the real world. This philosophical and technological shift in AI-driven autonomy was vividly showcased during a live-streamed drive by Musk through Palo Alto, where the Model S demonstrated smooth and almost flawless navigation through various real-world scenarios, including construction zones, roundabouts, and traffic. That was three months ago; imagine how much the system has learned in 90 days.
Looking Forward: The Future of Tesla's AI Endeavors
The rollout of FSD v12 marks a critical point in Tesla's journey in AI and autonomous driving. It's not just about technological prowess but also about aligning AI with nuanced human behavior. With Musk's continued focus on AI, which is evident across his ventures, Tesla remains a crucial player in the EV market and the broader AI revolution.
As we await further details on the public release of FSD v12 and its potential showcase at the Cybertruck event, it's clear that Tesla is moving closer to a future where cars are not just self-driving but are also intelligent and responsive to the complexities of the real world.
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Tesla software update 2024.44.3 has started rolling out to customers in larger waves recently and it brings several new features - including Actually Smart Summon to Europe and the Middle East, as well as improvements to Autopark. But that’s not all, it also adds a new Blind Spot Monitoring feature to the new Model 3, and potentially the Cybertruck, but that’s still to be determined.
We previously covered the Blind Spot Warning While Parked as part of our preview notes for update 2024.44, but now that it's going out to customers, it's time to see it in action.
If the vehicle’s door open button is pressed, and a vehicle or object is near or incoming, the vehicle’s Blind Spot Warning Light (2024 Model 3 and Cybertruck) will illuminate, an audible tone will ring and the door won’t open. A message will also be displayed on the center displaying, letting driver’s know why the door didn’t open.
Pressing the button a second time will allow you to override the warning and open the door normally, providing a way to get out in case you just parked close to a nearby vehicle or obstacle.
The object detection for this new feature includes cars, pedestrians, cyclists, and other objects - like things including traffic cones, bollards, strollers, and other large obstacles that FSD and vision-based Autopark detect during normal operation. Of note - this only works for the front two doors. Thanks to X user Max, who did some testing for us, It does not work for the rear passenger doors.
Optional Feature
The feature is optional - it’ll be enabled by default for safety, but if you need to enable or disable it, you can do so under Controls > Safety. For now, the feature is only available on the 2024 Model 3, but we expect it to roll out to the Cybertruck at least. However, there’s no reason why it can’t be added to other vehicles as well, minus the small red dot. We expect Tesla to eventually add this feature to all Tesla vehicles, but it’s currently not a part of update 2024.44.
Enhauto’s S3XY Buttons & Commander
If that’s not enough safety and vision for you, Enhauto, the makers of the popular S3XY Buttons and Commander recently put out a new software update for the 2024 Model 3, which makes some fantastic use of the ambient lighting.
With Enhauto’s solution, users are able to tie their ambient lights to Autopilot use, turn signals or even if a vehicle is their blind spot. Check out the video below for this awesome implementation, where the ambient lights turn red when another vehicle approaches.
Maybe Tesla will integrate something like this into a future update? We’ve been hoping for more customizability with their ambient lighting - it's an easy safety win and a demonstration of Tesla’s do-more-with-less attitude.
I look forward to @enhauto updates more than Tesla...
Ambient light effects....
I set default color to white. Blinks green on turn signals Turns blue on FSD activation Yellow if someone in blind spot Blinks red if turn signal on and blind spot activity detected.
The feature is now possible thanks to what Wes Morrill, Cybertruck’s lead engineering, points out is a huge rewrite of Tesla’s Trip Planner, which not only makes it much more accurate but will now allow users to choose their arrival charge percentage.
More Accurate Trip Planner
When you navigate to a destination, your Tesla will automatically calculate when, where, and how much you need to charge. While the process seems straightforward, Tesla deserves a lot of credit for creating a simple user experience because a lot goes into accurately determining this information.
Tesla has to calculate many moving pieces in order to accurately predict when and where you should stop. First, it needs to consider your driving efficiency and wind direction, terrain elevation, traffic, vehicle speed, and ambient temperature. It also needs to predict the best Superchargers to stop at, taking into account congestion and charger speed.
This morning, in response to Dan Burkland, Wes shared that Tesla had significantly rewritten the backend portion of Trip Planner. These improvements, made by several engineers, were designed to improve Trip Planner’s accuracy and open the door to future features.
It sounds like these changes are mostly server-side, so thanks to their OTA connection, more accurate predictions should be available to all vehicles—no vehicle update is required.
Arrival State of Charge
Along with Tesla’s improvements to Trip Planner, Wes also stated that these improvements allow for a popular feature request — the ability to select your desired charge level at arrival.
Up until now, Tesla’s Trip Planner tried to get you to your destination as quickly as possible, which usually meant arriving with a low state of charge.
While this was fine if you have a charger at your destination, it’s not great if you don’t, or it could be even worse if there are no chargers nearby.
Max de Zegher said on X that he has heard the requests for a selectable arrival state of charge. Wes later clarified this by saying that these improvements to Tesla’s Trip Planner now allow for additional features to be added, such as “desired arrival charge.”
Actually trip planner got a huge rewrite on the back end. I had a great conversation with one of the engineers working on this over a morning run a few weeks back, it's pretty neat. The rewrite also unlocks additional features, like desired arrival charge.
Given that Max de Zegher’s comments came last night and Wes Morrill commented this morning, this feature request likely won’t arrive with the upcoming Holiday Update. Tesla actually hinted at such a feature being added in their last app update, so it does seem like they’ve already planned for it.
Although ‘Arrival State of Charge’ was on our wishlist for the Holiday Update, it looks like it may arrive soon after the holidays.
![First Look at Tesla’s New 'Blind Spot While Parked' Feature [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/model-3-2024/blind-spot-indicator-monitor.jpg/4cdcb11af7b1c7cf021ba96588fd4f1a/blind-spot-indicator-monitor.jpg)
