FSD Beta 10.11 now going out to public testers

New vector lanes

@MarkHalleyPhd/Twitter

Tesla's latest FSD Beta, v10.11 is now going out to public testers. The beta is version 2022.4.5.15. For FSD Beta testers, it'll be the first update they receive that's based on a 2022 release.

Earlier this month Elon tweeted that the beta may go out as early as this past Tuesday. However, he then followed up that it was instead going to go out this past weekend.

Over the weekend we saw FSD Beta 10.11 go out to several employees, which Tesla uses as a final testing phase before releasing to the public.

Today we're finally seeing several public testers getting this build, but it may be a while before it goes out to everyone. Tesla looks at the release carefully as it's going out and can choose to slow it down, speed it up or stop it completely to fix any issues.

When Elon spoke about the next FSD Beta, he mentioned FSD Beta 10.12. This beta is version 10.11. It's not clear whether there was a misunderstanding or whether Tesla initially planned to increment the version.

However, this is a completely new beta for all public testers and it appears to be packed with improvements.

The most notable improvements appear to be new vector-based lanes and reduced slowdowns. An example of the new vector-based lanes is below. In addition to clearer lane markings, it appears that the whole lane will also be highlighted in blue when the car starts to perform a lane change.

New vector lanes

@MarkHalleyPhd/Twitter

This beta is expected to hit Canada for the first time according to Elon, but there are no signs yet of it going north of the border.

Tesla will likely monitor it for several days in the US before releasing it to our northern neighbor.

The complete FSD Beta release notes are below:

- Upgraded modeling of lane geometry from dense rasters ("bag of points") to an autoregressive decoder that directly predicts and connects "vector space" lanes point by point using a transformer neural network. This enables us to predict crossing lanes, allows computationally cheaper and less error prone post-processing, and paves the way for predicting many other signals and their relationships jointly and end-to-end.

- Use more accurate predictions of where vehicles are turning or merging to reduce unnecessary slowdowns for vehicles that will not cross our path.

- Improved right-of-way understanding if the map is inaccurate or the car cannot follow the navigation. In particular, modeling intersection extents is now entirely based on network predictions and no longer uses map-based heuristics.

- Improved the precision of VRU detections by 44.9%, dramatically reducing spurious false positive pedestrians and bicycles (especially around tar seams, skid marks, and rain drops). This was accomplished by increasing the data size of the next-gen autolabeler, training network parameters that were previously frozen, and modifying the network loss functions. We find that this decreases the incidence of VRU-related false slowdowns.

- Reduced the predicted velocity error of very close-by motorcycles, scooters, wheelchairs, and pedestrians by 63.6%. To do this, we introduced a new dataset of simulated adversarial high speed VRU interactions. This update improves autopilot control around fast-moving and cutting-in VRUs.

- Improved creeping profile with higher jerk when creeping starts and ends.

- Improved control for nearby obstacles by predicting continuous distance to static geometry with the general static obstacle network.

- Reduced vehicle "parked" attribute error rate by 17%, achieved by increasing the dataset size by 14%. Also improved brake light accuracy.

- Improved clear-to-go scenario velocity error by 5% and highway scenario velocity error by 10%, achieved by tuning loss function targeted at improving performance in difficult scenarios.

- Improved detection and control for open car doors.

- Improved smoothness through turns by using an optimization-based approach to decide which road lines are irrelevant for control given lateral and longitudinal acceleration and jerk limits as well as vehicle kinematics.

- Improved stability of the FSD Ul visualizations by optimizing ethernet data transfer pipeline by 15%.

- Improved recall for vehicles directly behind ego, and improved precision for vehicle detection network.

Release Notes Explained

Here is a great video that explains Tesla's technical release notes and what improvements you can find in this release.

In addition to the improvements in this FSD Beta, testers can also expect to find these other features that were added in the 2022.4 update.

Range Display Calibration for LFP batteries

If you have a SR+ with an LFP battery, then you'll also receive this feature that charges your car to 100% to help improve battery calibration. LFP batteries have very similar voltages from a low state of charge to a high state of charge. If the battery isn't regularly charged to 100%, it can be difficult for the vehicle to know its state of charge, which could cause some issues.

Cabin Camera

Tesla is collecting additional analytics from the cabin camera to help develop additional features. Tesla is asking you to opt-in to cabin camera analytics if you'd like to help develop new features.

There's no word on what these new features may be, but it could be just about anything, such as the ability to send you a notification if it detects an animal in your car and you forgot to turn on Dog Mode.

Car Colorizer

We're probably all familiar with this feature by now that allows you to alter the exterior color of your vehicle. The color you pick is used in the car's visualizations, car menus and in the Tesla app. You can also view a video of Tesla's Car Colorizer feature.

Audio Sources

The ability to disable certain audio sources comes back in 2022.4. If there are audio sources that you don't use, such as TIDAL, Spotify, or TuneIn, you can now disable them.

When an audio source is disabled, it won't appear in the More Apps menu or in the Sources dropdown.

Icons in the Status Bar

2022.4 was released quite a while ago, so it's easy for FSD Beta testers to forget everything that is in this release and why they should be excited.

Some icons are now returning to the car's top status bar, such as Driver Profiles (while in park) and the Sentry Mode icon.

Save Dashcam Clips

You can now more easily save dashcam clips if you have the Dashcam viewer in your launcher. Since the dashcam viewer can't be used while driving, the icon now has a dual purpose. If you tap it while in Drive, your car will save the last ten minutes of footage.

Regenerative Braking in Autopilot

Additional regenerative braking is now used in Autopilot, which will be especially useful in FSD. The vehicle previously used regenerative braking while on AP, but it will now apply it at lower speeds that better match how a driver would use regenerative braking.

Windshield Wiper Defrost

If you have a new Tesla that was built in the past few months, then it may have windshield wiper heaters. If it does, then this is the software update that enables it.

Nearby Superchargers

You can once again view nearby Superchargers in the same way you could in Tesla's v10 software. The Superchargers icon now appears on the far side just like it used to.

This FSD Beta release is an exciting one that includes many new features with the updated FSD Beta build and in the public 2022.4 release. You can also view the full 2022.4 release notes.

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Tesla Adds New Anti-Theft Protection for Supercharger Cables

Not a Tesla App

Tesla has begun installing a new set of anti-theft measures on some Supercharger cables. This is a two-part process, and includes an exterior-wrap called DyeDefender, as well as engravings on the actual copper of the Supercharger cables themselves.

Superchargers, just like other high-speed electric vehicle charging stations, have been consistently subject to both vandalism and theft. While vandalism is something that can be reduced by increasing policing and security in the area, theft is a different beast to tackle. 

Thieves are usually after the copper inside the charging cable - which is densely packed and valuable when taken to a scrap yard. So how is Tesla tackling this?

DyeDefender

First up is a field trial of a product called DyeDefender. You can find this product online to secure ICE catalytic convertors, but the overall premise is fairly simple. A pressurized staining dye is housed inside a stainless steel hose, which is laid overtop or around the object you need to protect - in this case, the Supercharger cable.

The stainless steel cable itself is called CatStrap - and is extremely difficult to cut through. If you do manage to cut through, the dye squirts out, coloring you blue quickly. The dye itself is harmless, but helps to identify potential thieves. Tesla’s Head of Charging - Max de Zegher, confirmed that this is only a trial rollout - instead, Tesla is considering another alternative.

Tesla has begun installing new anti-theft measures on some Supercharger cables, consisting of an exterior wrap called DyeDefender and engravings on the copper wiring inside the cables.

Like other high-speed EV charging stations, Superchargers have been frequent targets of vandalism and theft. While vandalism can often be mitigated through increased security, theft presents a bigger challenge. Thieves primarily target the copper inside the charging cables, which is densely packed and valuable as scrap metal.

DyeDefender

To address this, Tesla is trialing DyeDefender, a theft deterrent system commonly used to protect catalytic converters. It consists of a pressurized staining dye housed within a stainless steel hose called CatStrap, which wraps around the Supercharger cable. The CatStrap is highly resistant to cutting, but if breached, it releases a bright blue dye. While harmless, the dye is difficult to remove, making it easier to identify suspects.

In addition to DyeDefender, Tesla is also engraving the actual copper wiring inside the cables, making stolen material harder to sell since scrapyards often reject marked metals.

Engraved Cables

This alternative is more scalable, more cost effective, and doesn’t impact service operations or the customer experience - and its simply engraving the copper inside the cables. Superchargers cables will state “Property of Tesla” on them - engraved right into the cable from the factory in Buffalo, New York.

Engraved -

Not a Tesla App

Recycling companies and scrap yards will see that the cables belong to Tesla - and won’t accept them. Instead, they’ll reach out to Tesla to inform them that they have received stolen goods. While that may not have an impact immediately - as thieves learn that the copper they steal from Superchargers is worthless and could risk them getting in trouble, they’ll be less likely to go ahead and try.

It is definitely interesting to see Tesla try out some rather unique options to keep Supercharger sites safe and functional. Tesla will likely focus the deployment of DyeDefender in areas that experience continual theft - but again, this is only a trial. The impact of cable engraving will likely take some time, but it’ll pay off in the long run.

Until then, make sure to keep reporting any downed Supercharger sites. You can do that in the Tesla App through Location > Charging >Select Site > Report an Issue. If you have any other neat ideas on how Tesla can stop vandalism and theft, let us know in the comments or in the forums!

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This solution is more scalable, cost-effective, and doesn’t disrupt service operations or the customer experience—it simply involves engraving the copper inside the cables. Supercharger cables will be permanently marked with “Property of Tesla Motors,” engraved directly at the factory in Buffalo, New York.

Recycling companies and scrap yards will immediately recognize that the cables belong to Tesla and refuse to accept them. Instead, they may notify Tesla that they’ve received stolen goods. While this may not have an immediate impact, over time, as thieves realize that stolen Supercharger copper is unsellable and could get them caught, they’ll be less inclined to target them.

It’s interesting to see Tesla experiment with unique ways to protect Supercharger sites. While the company will likely focus on DyeDefender deployments in high-theft areas, this remains a trial phase. The full impact of cable engraving may take time to materialize, but it should prove effective in the long run.

In the meantime, continue reporting any downed Supercharger sites through the Tesla app by navigating to Location > Charging > Select Site > Report an Issue.

If you have any creative ideas on how Tesla can prevent vandalism and theft, share them with us on social media.

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Tesla Activates In-Cabin Radar in Software Update 2025.2.6

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.

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