Musk Shares Details on FSD Beta v11: Neural Nets to Be Used for Vehicle Control

By Nuno Cristovao
Elon Musk says we may get FSD Beta v11.3 as early as this week
Elon Musk says we may get FSD Beta v11.3 as early as this week
Not a Tesla App

Elon Musk has provided further guidance on Tesla's next major release of FSD Beta, v11.3. Last week Musk said that v11.3 would be ready in about 'two weeks' and would contain many major improvements.

We've heard these two-week estimates before, but it's reassuring that Musk is being specific with details on this upcoming release.

Now just seven days after his last tweet, Elon Musk is giving us more details on this significant upgrade.

Timeline

Musk said he expects FSD Beta v11.3 to start rolling out to some customers later this week, or next week at the latest. This matches up with his initial two weeks estimate a week ago.

Elon Musk's estimates are known to be overly optimistic, but given the number of details he's releasing, it sounds like Tesla may be close to releasing this next build.

FSD Beta v11.3 will likely roll out to Tesla employees first and then go out to select FSD Beta testers, possibly the original OG group. Since this is a major milestone and includes major improvements, expect a slow and gradual rollout. Although we may get our first glimpse into FSD Beta v11 this week, it may be several weeks or more before the majority of customers have access to this beta.

Neural Nets for Vehicle Behavior

A week ago Musk said this upgrade will include 'many major improvements.' Last night Musk revealed some additional details. He said there will be "many small things," one of which will be that Tesla will begin to use neural nets for vehicle navigation and control, instead of just vision.

Today Tesla uses neural networks to determine the vehicle's surroundings, where objects are, what they are, and their distances from the vehicle to create a 3D environment known as 'vector space.' With this information, the vehicle can then plan a path and navigate around these objects toward its destination.

However, based on Musk's comment, it sounds like Tesla is currently only using neural nets to determine its environment and not for controlling the vehicle. This means that how the vehicle behaves, how it finds a path, and how it moves is still a process that is coded traditionally.

In the same way that Tesla uses millions of images to determine what a stop sign or traffic cone is, it sounds like Tesla will now use a large number of examples to determine how to best control the vehicle in various situations.

That could mean that Tesla will take millions of quality examples of how to gradually accelerate or slow down, based on real driving behavior to determine how the vehicle should accelerate in different situations.

This could be applied to every driving characteristic such as turning, slow downing, driving around a parked vehicle, etc.

If Tesla starts leveraging neural nets to aid vehicle control we may soon see drastic improvements to vehicle behavior, making it much smoother and human-like.

New Features

Although Elon Musk didn't specifically mention new features coming to FSD Beta v11.3, there are several that have been talked about in the past that could show up in this major full self-driving update.

Reverse Creep

Reverse Creep has been a feature that has been talked about as far back as FSD Beta 10.13. This feature would allow the vehicle to go into reverse to move out of the way of danger or adjust its trajectory. Right now FSD Beta will only ever move forward, so this improvement would be a giant step toward achieving human-like behavior.

A good use case for this is when the vehicle moves forward for better visibility. There may be times when the vehicle sees a car coming after moving creeping forward. In these cases, it'd be smart to let the vehicle reverse back to its previous position if it is now in the path of traffic.

Navigating Without Map Data & GPS

In the past Musk also alluded to the fact that Tesla is working on the neural networks' ability to complete 'dead reckoning' navigation, which is navigating based only on inertial measurements such as speed, direction and wheel movement.

He gave underground parking garages as an example of where FSD would need the ability to navigate without GPS or map data.

The car will be able to do this by using its last known GPS location and then determine its future location using only a compass, wheel movement and speed.

FSD Beta v11

FSD Beta v11 has always been expected to be a big leap forward, and as we get closer, that hasn't changed. This update is expected to be a huge improvement to what is currently available to customers. Although Musk's timelines have usually shifted and features have typically taken longer than initially planned, it looks like we may be getting close to the next major release for FSD Beta.

Although we're still years away from true full self-driving, Tesla's mission inches closer with every update. 

Recently there was also a leak revealing some details of Tesla's upcoming cameras in hardware 4.0, which are expected to include a fan and heater for select cameras.

Tesla Activates In-Cabin Radar in Software Update 2025.2.6

By Not a Tesla App Staff
Not a Tesla App

Tesla has released software update 2025.2.6, and while minor updates typically focus on bug fixes, this one introduces a major new feature. With this update, Tesla has activated the in-cabin radar, a sensor that has been included in some vehicles for more than three years but remained unused until now.

Why Not Vision?

Unlike vision-based systems, radar can precisely measure object dimensions and even detect movement behind obstacles by bouncing radio waves off surrounding surfaces. This allows for more accurate and reliable measurements of objects that vision may not even be able to see, such as behind the front seats.

What Tesla Announced

Tesla recently highlighted the 4D radar in the new Model Y, explaining how it will improve passenger safety. Tesla executives stated that the radar would be used to properly classify passengers and improve the way airbags deploy.

Tesla went on to say that in a future update, Tesla will use the in-cabin radar to detect any potential passengers left in the vehicles. Since radar can even pick up on heartbeat and breathing patterns, it can provide a much more accurate method of detecting children left in a vehicle. Tesla talked about how the vehicle will send owners a notification via the Tesla app and enable the HVAC system if it detects a passenger in the vehicle. It’ll even call emergency services if needed.

New Feature in Update 2025.2.6

Tesla has officially named this feature in update 2025.2.6, “First-Row Cabin Sensing Update,” which appears to align with the first portion of what Tesla discussed in the new Model Y video.

In the release notes, Tesla describes the update as:

“The first-row cabin sensing system has been updated to use cabin radar, which is now standard in all new 2025 Model Ys. Your Model Y was built pre-equipped with the necessary hardware, allowing Tesla to also bring this technology to your vehicle.”

For now, it appears that Tesla is using the radar to detect and classify passengers in the front seats. This could eventually replace traditional seat sensors, reducing the number of hardware components and lowering production costs.

Tesla plans to expand the feature later this year, bringing rear-seat passenger detection in Q3 2025. While Tesla talked about the feature for the new Model Y, we expect it to be available for all vehicles with the in-cabin radar.

Supported Models

Although Tesla is vague in their release notes, this feature is being added to all Model Ys that include a cabin radar. Tesla started including the cabin radar in 2022, but its availability may vary by region and model. The Model 3 didn’t receive the cabin radar until it was redesigned in 2024, while all Cybertrucks already include it.

The owner’s manual for the redesigned Model S and Model X doesn’t specifically mention the interior radar, although Greentheonly believes the vehicles also include one, so we’ll have to wait to determine whether those vehicles also receive this new feature.

At this time, the feature appears to be only going out to Model Y vehicles, but we expect it to become available on other supported models soon.

We love to see these kinds of updates. Tesla is increasing the safety of existing and new vehicles through a software update while also making them more affordable to own.

Tesla Updates App: Adds Robotaxi Code, New Model Y Models and New Tesla Service UI

By Karan Singh
@olympusdev_ on X

Tesla has updated the Tesla app to version 4.42.0, and this time, it’s more than just bug fixes. The app includes a new service interface, introduces support for the new Model Y, and, for the first time, includes some code for the Robotaxi coming later this year.

This update was released for iOS and should be available on Android within a few days.

Refreshed Model Y 3D Model

First up in the update is the introduction of the 3D model for the refreshed Model Y. Interestingly, while we all know it as Juniper, the file code name inside the update lists the vehicle as “Bayberry.” The Bayberry name was introduced in Tesla app update 4.41.5.  Tesla’s internal code names sometimes change as the vehicle evolves - and we’ll continue to refer to it as the refreshed or new Model Y for ease of understanding.

A rear-angle shot of the Refreshed Model Y from the Tesla App
A rear-angle shot of the Refreshed Model Y from the Tesla App
@olympusdev_ on X

As usual with Tesla’s 3D models in the app, there’s a lot of detail, although it’s not easy to see since you can pinch and zoom the model in the app. The 3D models used in the app are actually the same models that Tesla uses in the vehicle, although sometimes they include different lighting effects, but they’re all highly detailed.

Robotaxi API

Tesla has added a new endpoint in their app for Robotaxi - and it’s the very first Robotaxi or Cybercab-related item we’ve seen in the app. With the Robotaxi fleet launching in June, according to Tesla, it looks like they’re now adding support to the Tesla app.

What the Robotaxi interface is supposed to look like in the future.
What the Robotaxi interface is supposed to look like in the future.
Not a Tesla App

The new app API is called “rides_feedback_upload,” which seems pretty explanatory. Tesla will need to gather a lot of information on ride quality and all the little things in between. What better way than to get feedback directly from users?

While Tesla previously released prototype images of what the Robotaxi app will look like, the introduction of this API into the Tesla app leads us to believe that Tesla will utilize the current app for Robotaxi use.

Updated Service Interface

The Updated Service Panel in the Tesla App
The Updated Service Panel in the Tesla App
Not a Tesla App

Tesla has released an updated UI for the Tesla Service panel, and we have a ton of details on these changes. This new pane displays appointment details more prominently. If you have a service appointment scheduled, you’ll now see a lot more details on the main service screen. The app will now display:

  • Your current service status

  • Appointment date and time, which you can now tap on to add the event to your calendar

  • Address and hours of the service center. You can now also tap on the address to open up the location in your maps app

There’s also a new appointment details screen (the right portion of the image). This screen displays additional details that were previously unavailable, such as your transport type. The app will display whether you’ll get a loaner vehicle, demo vehicle, or something else.

There are a ton of user experience (UX) improvements in this update regarding service, including clearer language, improved UI fixes to images, and more.

Tesla has been making a lot of positive updates to the Service-related sections of the app lately, and we’re happy to see these coming rapid-fire. Tesla Service is now easier to use and understand. In the previous app update, Tesla also added the ability to pull down to update the service screens.

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