Tesla Releases FSD V13.2: Adds Ability to Reverse, Start FSD from Park, Autopark at Destination and Much More

By Karan Singh
DirtyTesla/YouTube

Last night Tesla finally launched FSD V13.2 with a bevy of new features for its early access testers with update 2024.39.10. While they barely missed Thanksgiving's floaty deadline, they still managed to deliver it in November, marking another big win for the Tesla AI team.

Early Access Only

FSD V13.2 started to roll out to early access testers - who generally get hands-on with the latest builds in advance of everyone else. They’re the equivalent of Tesla’s trusted testers who aren’t running internal builds - and they’re able to catch more scenarios outside of Tesla’s pretty extensive safety training suite.

If no major issues are spotted, Tesla will begin a slow rollout to more and more vehicles over the next few weeks. Assuming all goes well with this build, it could be in most customer’s hands by Christmas.

Of course, as a reminder, FSD V13 is still limited to vehicles equipped with AI4—and for now, anything but the Cybertruck. The Cybertruck is on its own FSD branch, without access to Actually Smart Summon and Speed Profiles, but with End to End on the Highway. The Cybertruck was recently upgraded to update 2024.39.5 (FSD V12.5.5.3).

FSD V13.2 Features

Let’s take a look at everything in FSD V13.2 - which is the build version going out now on Tesla software update 2024.39.10. While we previously got a short preview of what was expected with V13, we now can see everything included in FSD V13.2.

Start FSD from Park, Reverse & Park at Destination

Parked to Parked has been the goal for FSD for quite a while now. Elon Musk has been saying that it was going to be the key to demonstrating Tesla’s autonomy framework back with the release of V12.3.6 - when V12.5 was but a glimmer in the Tesla AI team’s eye.

Now, with V13, FSD has integrated three key functionalities.

Unpark: FSD can now be started while you’re still parked. Simply set your destination and tap and hold the new Start FSD button. The car will now shift out of park and into drive or reverse in order to get to its destination.

Reverse: FSD has finally gained the ability to shift. Not only can the vehicle go into reverse now, but it can seamlessly shift between Park, Drive and Reverse all by itself. It can be perform 3-point turns.

Park: When FSD reaches its destination, it will now park itself if it finds an open parking spot near the final location. Tesla says that further improvements are coming to this, and drivers will be able to pick between pulling over, parking in a parking spot, driveway or garage in the future.

If everything goes smoothly on a drive, users will no longer need to give the vehicle any input at all, from its original location to its final parking spot. No more user intervention other than supervision is needed, unless an intervention is needed.

Full Resolution AI4 Video Input

Until now, FSD V12.5 and V12.6 have been using reduced image quality at reduced framerates to match the lower resolution and lower refresh rate provided by Hardware 3 cameras. For the first time, FSD will be using AI4’s (previously known as Hardware 4) cameras at higher resolution and 36 frames per second.

In short, that means better image quality for both training and in use and higher accuracy for things like signage and distance measurement.

Speed Profiles for All Roads

FSD V12.5.6.2 brought new and improved Speed Profiles to both city streets and highways, including the new Hurry Mode, which replaced Assertive Mode. However, on V12.5.6.2, there were a few limitations - roads needed a fairly high minimum speed limit of 50mph (80km/h) or higher. Now, that’s no more. City Streets has speed profiles for all speed limits now.

Native AI4 Inputs and Neural Network Architecture

Similar to the video resolution and refresh rate, AI4 has a lot of new hardware features that help optimize how fast FSD’s AI model can run. We dug into how Tesla’s Universal Translator streamlines FSD for each platform - this is a case of having fewer constraints and more optimization versus Hardware 3.

5x Training Compute

Cortex, Tesla’s massive new supercomputer cluster at Giga Texas, is now online and crunching data at a truly insane rate. It's one of the fastest AI clusters in the world—and it's dedicated to FSD. Tesla has 5x the training compute crunching away to solve the March of 9’s now that FSD is close to being feature complete.

Faster Decision Making

Tesla refactored how it handles image-to-processing in FSD V13 - another huge set of changes to improve performance. In this release - a 2x faster photon-to-control latency, which is massive. In layman’s terms - that’s faster decision-making - it was already faster than a human, and now it's twice as fast as it was before.

Collection Data for Audio Input

One of the features Tesla lists in FSD V13.2 is the ability for the vehicle to collect and share audio snippets with Tesla. The vehicle will ask you whether you’re okay with sharing 10-second audio files with Tesla so that the vehicle can detect emergency vehicles by sound in the future.

Camera Visibility Detection

The vehicle will now prompt you at the end of a drive if visibility issues are detected. The new option is under Controls > Service > Camera Visibility. Tesla will also retain images from the cameras when the vehicle experiences visibility issues during a drive so that you can analyze them later.

As of FSD V12.5.6.2, your Tesla will warn you when it needs cleaning - and guide you to help clean the cameras too. This, along with less annoying notifications that FSD is degraded, are going to be fantastic changes for those who aren’t driving around in sunny weather.

Better Collision Avoidance

Due to all the changes to the AI model in V13, it also brought along with it changes to how the AI perceives and handles collision avoidance.

FSD has already earned a reputation for cleanly avoiding T-bone collisions in red light incidents, but it's going to get even better from here on out.

Vehicle to Fleet Communication

One of the features V12.5 was supposed to bring was fleet-based dynamic routing. If a route was closed, your Tesla would turn around and navigate through an alternative path - and also warn the rest of the fleet of the closure.

V13 lets AI4 vehicles do this, and it's another element of the Robotaxi network that Tesla needs to get off the ground to ensure that once they do begin to deploy their first fleets - they function well. So far, with new job postings for Robotaxi Engineers and talks with Palo Alto to launch a Robotaxi service, things are on track for both Unsupervised FSD and Robotaxi sometime in 2025.

Better Traffic Controller

Another big update is a redesigned traffic controller - which makes for smoother and more accurate tracking of other vehicles and objects around the vehicle. We dug into how the traffic controller processes information in this article here, where you can learn all about how Tesla’s signal processing works.

Upcoming Improvements

Tesla has mentioned a lot of upcoming improvements panel for FSD V13 too, which includes bigger models, audio inputs, better navigation and routing, improvements to false braking, destination options, and better camera occlusion handling. That’s a pretty big list for V13, so we’ll keep an eye on all these upcoming features that are expected in a future release.

What About Hardware 3?

Tesla’s previous roadmap update didn’t mention HW3 getting FSD V13. Instead, those of us on Hardware 3 will need to keep waiting and looking for Tesla to optimize another FSD Model - until then, you’ll be on FSD V12.5.4.2, which is still a fairly capable build.

Tesla has mentioned that they could potentially upgrade HW3 computers - not cameras - if engineers aren’t able to get FSD Unsupervised working on HW3. While there isn’t a lot to share here yet, it certainly looks like HW3 owners will be receiving some sort of free hardware upgrade in the future, but it’s not clear yet when or what they will be.

Keep an eye out in the new year for updates on what’s coming next with HW3. We hope to see an optimized V13 build eventually make its way to HW3 sometime in the future - Tesla has been working pretty hard on this, so let’s give them some time.

Release Date

For everyone who’s been patiently waiting to see more of FSD V13 since the sneaky reveal at We, Robot, you’ll be waiting a bit longer. This build is currently going out to early access testers, who serve as a critical step in Tesla’s safety verification process.

Once Tesla is comfortable with the rate of disengagement, Tesla will evaluate their results, make any final changes, and then begin rolling it out in waves. Fingers crossed, wider waves for V13 will make their way to AI4 S3XY vehicles and the Cybertruck by Christmas.

Tesla's New Model Y to Receive Adaptive Headlight Support in U.S. Soon

By Karan Singh
@DriveGreen80167 on X

In the latest episode of Jay Leno’s Garage, Tesla’s VP of Vehicle Engineering, Lars Moravy, confirmed that the new Model Y will feature adaptive headlights.

As Moravy was talking about the updated headlights in the vehicle, which now sit a few inches lower than before, he stated that in a couple of months, Tesla will add adaptive headlights in the U.S.

While Tesla has already introduced adaptive headlights in Europe and the Indo-Pacific, the feature has yet to make its way to North America.

Originally delayed in the U.S. due to regulatory issues, manufacturers have been able to implement adaptive headlights since mid-2024. Meanwhile, competitors like Rivian and Mercedes-Benz have already rolled out their own full matrix headlight systems, matching what’s available in other regions.

Update: This article has been updated to clarify that adaptive headlights will indeed be launched in the U.S., shortly after the vehicle launching in March.

Adaptive Headlights

Back in October 2024, Lars confirmed that matrix headlight functionality was just around the corner for North America. However, as we enter 2025, it’s still unclear when Teslas with matrix headlights will receive the feature.

Currently, Tesla in North America supports adaptive high beams and automatic headlight adjustment for curves, but full matrix functionality has yet to be rolled out. Meanwhile, matrix headlights are already available in Europe, where they selectively dim individual beam pixels to reduce glare for oncoming traffic and adapt to curves in the road.

It was surprising that matrix functionality wasn’t included in the comprehensive 2024 Tesla Holiday Update. This feature would likely improve safety ratings, so we can only assume Tesla is diligently working to secure regulatory approval.

Adaptive Headlights on Other Models

Lars didn’t confirm whether the refreshed Model Y comes with the same headlights as the new Model 3 and the Cybertruck, instead simply calling them "matrix-style” headlights.

The headlights on the new Model Y appear very similar to those available in the 2024+ Model 3, possibly meaning these other models will also receive adaptive headlight capabilities in the next couple of months.

For vehicles with older-style matrix headlights, it’s unlikely that adaptive beams support will launch at the same time, but they will hopefully become available soon afterward.

You can check our guide here to see if your vehicle includes matrix headlights.

Tesla Starts Underwriting Its Own Insurance: Will They Insure Their Own Robotaxis?

By Karan Singh
Not a Tesla App

For the first time since launching Tesla Insurance in 2019, Tesla will begin underwriting its own policies, starting in California.

Tesla Insurance originally debuted in California and has since expanded to several U.S. states. Until now, policies were underwritten by State National, a subsidiary of the Markel Insurance Group. However, Tesla is now transitioning to fully in-house underwriting, beginning with its home state.

As part of this shift, California Tesla Insurance customers who receive an in-app offer to switch will be eligible for a one-time 3% discount on their next term’s premium—covered entirely by Tesla Insurance.

What is Underwriting

Underwriting is the process an insurance company uses to assess risk and determine whether to offer coverage, at what price, and under what terms.

Insurers evaluate factors such as driving history, credit score, age, vehicle type, and location. In Tesla’s case, vehicle driving data (not available in California) also plays a key role in risk assessment. These factors help classify drivers into risk categories, which influence their base premium.

From there, coverage limits, deductibles, and policy inclusions or exclusions can further adjust the final premium up or down.

Robotaxi and Other Benefits

At first glance, underwriting insurance might seem like a complex and costly process for Tesla. However, there are several compelling reasons why this move makes sense.

Insurance Income: Insurance is a highly profitable industry. Companies set rates based on risk, offering lower premiums to safer drivers and higher rates to riskier ones. This not only maximizes profitability but also incentivizes safer driving behavior, reducing overall claims.

Data Advantage: Tesla collects vast amounts of driving data through its Safety Score system. While California doesn’t allow Safety Score to impact premiums, Tesla can still use this data in the underwriting process to refine risk assessments and pricing for its vehicles.

Control Over Repair Costs: By underwriting its own policies, Tesla gains direct control over repairs and total loss decisions. This allows them to dictate when, where, and how repairs are done, optimizing costs for parts, labor, and service while ensuring vehicles are fixed according to Tesla’s standards.

FSD-Driven Discounts: Tesla has already begun offering insurance discounts for drivers using Full Self-Driving (FSD). By underwriting its own policies, Tesla could expand these incentives, potentially offering greater discounts to frequent FSD users in the future.

Preparing for Robotaxi: Perhaps the biggest long-term reason for this shift is the June launch of the Robotaxi fleet. How will Tesla insure these vehicles? The answer is simple—by underwriting its own policies and assuming liability.

Tesla’s decision to underwrite its own insurance isn’t just about cutting out middlemen—it’s a step toward lowering costs, increasing profitability, and preparing for the future of autonomous driving, a risk many insurance companies may be unwilling to make.

Further Expansion

This could be a strong sign that Tesla is preparing to expand its insurance offerings now that it has taken on the underwriting process itself. In July 2024, Tesla hired a former GEICO insurance executive to lead the expansion of Tesla Insurance and help reduce costs—a move that now appears to be paying off.

Rather than a traditional expansion, Tesla has instead made a bold move by bringing underwriting in-house, something few expected. However, it aligns with Tesla’s strategy of vertically integrating and controlling key aspects of its business, whether in manufacturing, software, or now, insurance.

If this pilot program proves successful, it could pave the way for Tesla Insurance to launch in more states—and potentially even other countries. With 2025 shaping up to be a pivotal year, we may see Tesla accelerate its insurance expansion sooner than expected.

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