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.

Follow

Follow

Follow

Tesla Updates Santa Mode & Rainbow Road to Use Ambient Lighting and Updates SteamOS [VIDEO]

Flo / Roberto Bonato

While Tesla’s 2024 Holiday Update brought many new features, including Apple Watch Support, Cross Traffic Alerts, Weather Overlays, Search Along Route, and others, there are also several smaller items in this update that didn’t get much attention.

Ambient Lighting Now Affects Easter Eggs

The 2024+ Model 3 and Cybertruck both come equipped with ambient lighting, and Tesla is now taking advantage of this custom lighting feature by incorporating it into several easter eggs.

Rainbow Road: If you head over to Apps > ToyBox > Rainbow Road, you’ll find a new option available that allows the ambient lighting in the vehicle to also change shades while Rainbow Road is active. The Rainbow Road easter egg is a tribute to the iconic course course in Nintendo’s Mario Kart.

Check out the feature in action below:

🇮🇹 Con l’aggiornamento di Natale, quando attiviamo la pista arcobaleno, anche i LED interni diventeranno arcobaleno. Questa è una novità non documentata, scovata da un utente di TESLERS (chiaramente riguarda le Model 3 Highland)

🇺🇸 UNDOCUMENTED CHANGE: With the Holiday update,… pic.twitter.com/xyocOIrWfX

— 𝗧𝗘𝗦𝗟𝗘𝗥𝗦 (@TeslersOfficial) December 8, 2024

Santa Mode: Just in time for Christmas, Tesla has improved Santa Mode by cycling the ambient lighting between Christmas colors. Similar to Rainbow Road, the use of ambient lighting for the easter egg is optional and can be enabled under Apps > ToyBox > Santa Mode.

When using Santa Mode with ambient lighting turned on, the lights will cycle just between Christmas colors, red, green and white, instead of the full rainbow. There’s a video of the feature below:

Yup and in Santa Mode it cycles between red white and green pic.twitter.com/HVQUlfUyze

— Roberto Bonato (@BonatoRoberto) December 9, 2024

Update: It looks like it affects other Easter eggs as well, such as turning orange when using Romance mode.

SteamOS (Beta) Update

The Model S and Model X vehicles that support Steam gaming are receiving a Steam app update in the holiday update as well. This update could end up being very interesting, but for now Tesla says that the SteamOS, which also runs on Valve’s Steam Deck has been updated to version 3.6.

Valve outlines a wide range of fixes and improvements in their release notes for version 3.6, but Tesla simply states that the OS update includes performance enhancements and improved game compatibility.

The SteamOS hasn’t been updated on the Model S and X for quite a while, so we believe there may be more to this besides performance improvements and fixes. We’ll be looking to share some insights into this in the near future.

So, there you have it—three new features in the Holiday update that have mostly gone under the radar. While they may not apply to everyone, there are plenty of other cool features in the Holiday Update, like the arrival of Dynamic Road Closure Routing and Nearby Parking, that are coming to every vehicle, so go check out the full release notes.

Follow

Follow

Follow

New Report Offers Specs & Price for Tesla's Upcoming Next-Gen Model

A concept of Tesla's 'Model Q'

@DominicBRNKMN on X

At the 2023 Q3 Earnings Call, Tesla provided an update on its next-generation model, what many are referring to as the “Model 2” or “Model Q.” Although the actual model name is yet to be determined, it is known internally as Redwood.

During the 2024 Shareholder Meeting, Musk again mentioned the upcoming model, saying that Tesla is working on new products, including a more affordable vehicle and a larger SUV.

While we know the next-gen vehicle is aimed at the $25k to $30k USD market, we now have some new information thanks to a new report out of China.

Launch & Price

According to the Chinese outlet CNMO Technology News (Sina Finance), Travis Axelrod, Tesla’s Head of Investor Relations, announced plans to launch a new model. Axelrod shared this update while addressing senior corporate investors at an investor conference hosted by Deutsche Bank on December 5, 2024.

The goal of Project Redwood, internally dubbed “Model Q” by Deutsche Bank, is to achieve a post-subsidy price of under $30,000 USD. With the Federal EV Rebate potentially expiring next year, this suggests that the Model Q’s starting price will be around $30,000 USD. For comparison, the Model 3 currently starts at $42,490 in the U.S.

We previously reported that Tesla has already been speaking to suppliers and is looking to begin volume production of the vehicle sometime around June 2025. Of course, prototyping is still necessary, but we haven’t seen any signs of Tesla testing a new vehicle since spotting the Cybercab on the streets ahead of We, Robot.

Specs

The Model Q will supposedly be about 15% smaller and 30% lighter than the Model 3, with an approximate length of 3,988mm, or 157 inches. For scale, the Mini is 157 inches, while the Model 3 is 185 inches, so it’s fairly compact.

The battery will also be smaller to match the vehicle’s smaller size as Tesla tries to reduce the vehicle’s price while maintaining a similar range as its other vehicles. Tesla is expected to offer two models—a single-motor RWD model and a Long-Range Dual-Motor AWD variant.

The lower trim level will include a 53 kWh lithium iron phosphate (LFP) battery, while the AWD version is expected to include a 75 kWh LFP battery. The report says that the vehicle will be able to travel up to 500 km (310 miles) on a single charge, but it’s not clear whether this will be for the more efficient RWD version or the AWD variant.

Given the vehicle’s weight reduction compared to the Model 3, this type of range is likely for the lower trim level.

There’s no news yet on the price of the AWD version, but we expect it to be about $5,000 more expensive than the RWD variant.

Once the vehicle ramps up in production, Tesla intends to produce about 10,000 of these per week globally or about 500,000 per year. As Tesla mentioned during one of their previous earnings calls, this next-gen vehicle will be built using Tesla’s current assembly lines with minimal changes. This should allow for a smoother and more predictable production ramp. While Tesla still plans to use its new unboxed assembly process, it’s now saving it for the robotaxi.

Project Juniper

One of the items that came up during the investor conference was Tesla’s Project Juniper—the Model Y refresh. Juniper has already had a few leaks, including some images and information that mention a return to the 7-seat, 3-row format—at least in China. 

We’re expecting Juniper to launch early next year, as production has supposedly already begun at Giga Shanghai, at least on a limited prototyping basis. If the rollout matches the Model 3 Highland refresh, we’ll see Juniper arrive in China first and then make its way to North America and Europe by the end of 2025. The performance variants should launch in early 2026, after the standard models.

If you’re excited about Juniper, so are we! Check out our wishlist of features for Tesla’s Model Y refresh, and see everything we know so far.

Follow

Follow

Follow