Tesla's FSD Beta 11.3 is now in the hands of Tesla employees
@winnersechelon
Finding a more anticipated Tesla update would be hard than FSD Beta v11.3. We had been waiting for it since AI Day on September 30, 2022. Elon Musk has also done a great job teasing Tesla owners with updates and timelines. The update is now being tested by Tesla employees, leading to some leaks and our first peek into the update. However, Musk has already stated that it will be v11.3.2 that goes to the broader subscriber base, leading us to believe that there will be plenty of tweaks to make after the initial rollout. That said, there is a lot to go through with the latest release notes.
Thanks to Dr. Know-it-all's excellent video (below), here is the breakdown and explanation of what we can expect to see when the newest update beams into Teslas in the United States and Canada.
Single Stack Sensation
Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old...
The single stack is here. In computer architecture and tech terminology, a tech stack is the technologies and systems used for a given system. In this case, Tesla combines vision and planning stack on and off the highway. According to Tesla, the legacy highway stack, which is four years old, relies on several single-camera and single-frame networks and was set up to handle simple lane-specific maneuvers.
By simple maneuvers, the company refers to merging on and off the highway and changing lanes. However, FSD is now able to do so much more. Although Tesla has made considerable strides in the past four years, the latest FSD Beta uses "multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making." In translation, we should see much smoother and less unnatural robotic driving. For example, the Autopilot highway lane change that predictably waited a few seconds before moving over will act much more intuitively with the FSD programming.
Dr. Know-it-all speculates that the legacy stack controlling highway driving had become so reliable that the company had a high bar to beat when rolling out something new. This change needs to be kept in mind for those who have used FSD a lot or for a long time during highway driving. After you are updated, your car will behave slightly differently the next time you merge onto the highway.
Voice Driver Notes
Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
If the driver needs to intervene, this message will appear: "Autopilot Disengaged. What Happened? Press voice button to send Tesla an anonymous message describing your experience."
There used to be a button on the screen that you could tap to provide feedback (and it's still available for early testers); however, all you could do was tap it, and that would signal a negative experience, but there was no way to explain what happened. This new feature should assist Tesla engineers in watching the video and listening to the driver's feedback to understand the situation better. It is expected the audio feedback will be converted to text to keep the driver anonymous and let engineers search and read messages.
Expanded Automatic Emergency Braking (AEB)
Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego's path. This includes cases where other vehicles run their red light or turn across ego's path, stealing the right-of-way. Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
AEB has been around since the mid-2000s. The system applies brakes if it detects the vehicle in front is slowing down or may have suddenly hit the brakes. Tesla's expanded version of this system will monitor not just the traffic directly ahead but also the sides (cars running red lights) or anything that is "stealing the right-of-way." The company says that nearly half of the collisions of this nature would be avoided with this newly expanded system. Better yet, this is active in Full-Self Driving and manual operation — just another Tesla safety improvement.
Improved Autopilot Reaction Time
Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object's instantaneous kinematics along with trajectory estimates.
Tesla has improved its Autopilot reaction by 500 milliseconds or half a second. It doesn't sound like much, but this system mainly calculates how to respond to drivers running stop signs or red lights. For example, let's say you are driving through your neighborhood at 25 miles per hour and approaching an intersection where you have the right of way. Suddenly a car appears, and the collision has already happened when you realize it is not stopping. By calculating an object's instantaneous kinematics along with trajectory estimates, Telsa would respond in just about the same time as a blink of an eye. At 25 mph, your car is moving at 36.6 feet (11 meters) per second. Imagine what an extra 17.3 feet (5.5 metres) would do in this situation. It's likely the difference between a collision and a near crash.
Dr. Know-it-all Explains the Release Notes
Overall Driving Advancements
Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines.
Another improvement involves offsetting the vehicle towards the inner lane lines during a turn rather than keeping it dead center in the lane. This biasing towards the inside of the arc is a more natural trajectory for drivers and will help them avoid getting too close to vehicles coming from the other direction.
Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
Tesla's AI team has been working on better modeling the possible effect of lead vehicles' brake lights on their future speed profiles. Previously, the Tesla would ignore the brake lights until it was too late, resulting in an uncomfortable situation where the car would have to brake abruptly to avoid hitting the vehicle in front of it. However, Tesla's new modeling approach will enable it to react sooner and more smoothly to brake lights by predicting the lead vehicle's trajectory and speed. This improvement is not safety-critical but will make users more comfortable and provide a better driving experience.
Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego's lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
Recall is all about false negatives, which means the car may overreact to a situation, perhaps slamming on the brakes when someone cuts in front instead of slowing down. This update has improved recall by 20% for close-by cut-in cases, the polite way of saying being cut off. Telsa autolabeled 40,000 clips of this scenario to the dataset, which should reduce false negatives. However, the car will also handle being cut off with more control. If slamming on the brakes is not required, gradual slowing is likely what the Tesla will do.
FSD Can Better Recognize Buses
Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
The upgrade in semantic detection means that the system now understands that a detected object is a school bus, rather than simply identifying it as a large vehicle or something else. This improvement is beneficial because it increases drivers' confidence around school buses, as they require a different driving behavior than most other vehicles on the road. In addition to improving semantic detection, a visualization of a school bus for better recognition would be very helpful. Finally, this recent upgrade to the system should allow it to detect vehicles transitioning from stationary to in motion more accurately, thereby making better decisions when navigating the road.
Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
Object detection and depth perception advancements are essential for a safer FSD experience. Recent improvements in these areas include a 9% reduction in depth error for large trucks and an 18% increase in the ability to detect rare objects, thanks to densely supervised Auto label data sets. In addition, with better integration of multi-camera videos, the car can more accurately perceive the location and size of large trucks, reducing the risk of collisions and helping it stay in its lane. These enhancements increase the safety of everyone on the road and inspire greater confidence in autonomous driving technology.
Crosswalk Behavior will Change
Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
Engineers have found a new way to help Teslas make better decisions when dealing with crosswalks. In the past, FSD would try to stop as soon as possible when they saw a pedestrian near the crosswalk. However, this could be a problem because sometimes the pedestrian is just standing there and not planning to cross the street. To make things better, researchers have created a new computer model that helps the car make better decisions. This model is called "neural network-based ego trajectory estimation." With this model, the vehicle can decide whether to keep going or stop based on how close the pedestrian is to the crosswalk. This way, the car won't stop too early and won't cause any problems for other vehicles.
Highway Improvements
Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
Tesla's new long-range Highway Lanes Network will enable the car to respond earlier to blocked lanes and high curvature situations, typically on highways and high-speed roads. In addition, it addresses the limitations of the occupancy Network, which previously allowed the car to see only a limited distance of approximately 100 meters in front of and 20 meters behind the vehicle. With the new long-range Highway Lanes Network, the car can see further ahead, allowing it to detect blocked lanes and curves much sooner, giving it more time to react.
One of the most significant advantages of the long-range Highway Lanes Network is its ability to detect and respond to high curvature situations smoothly. Currently, the car brakes late before a curve, which is not optimal for a safe driving experience. However, with the long-range Highway Lanes Network, the car can predict the angle, making the acceleration smoother and braking earlier. This results in better behavior on highways and high-speed back roads. The new long-range Highway Lanes Network will also enhance the driving experience by reducing sudden braking, making the driving experience more comfortable for the passengers.
Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
The recent improvement to the highway merge control system involves merging topologies derived from Vector Lanes. Vector Lanes are dedicated lanes designed to make merging more efficient and less congested. They are situated to the left of the main highway lanes, providing extra space for merging vehicles to accelerate and merge smoothly into the main traffic. Vector Lanes are typically longer than traditional merging lanes, which gives drivers more time to complete their merge. The use of Vector Lanes, in combination with the modern merged topologies, can significantly improve the performance and safety of highway systems.
Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
Improving full self-driving technology means enhancing lane change capabilities with earlier detection and handling for simultaneous changes, better gap selection, and enhanced speed and navigation-based data integration. A major challenge in full self-driving is the 10-30 second gap between navigation and second-to-second data, leaving room for critical lane change decisions. The improved system positions the car better, using the best time for lane changes by combining navigation and speed-based data.
Other Enhancements
Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
Now we get into some more technical changes in this update. Tesla has reduced "goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X." First, let's take a step back. Goal pose refers to the position where the vehicle needs to end up. The candidate trajectory is the possible paths that the car could take to get there. The "goal pose prediction error" for the "candidate trajectory neural network" is the amount of difference between where the neural network predicts the vehicle will end up and where it ends up. In other words, it measures how accurately the neural network predicts the vehicle's final position. The goal is to minimize this prediction error so the car can accurately determine the best path to reach its goal pose. Therefore, these improvements equate to more precise estimates providing a better user experience.
Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
Tesla also has improved its occupancy network detections specifically for rain reflections, road debris and high curvature. The occupancy network is a computer system that uses sensors to detect and identify objects in the environment, such as other vehicles or pedestrians, and determine whether or not they occupy space on the road. The "occupancy network detections" refer to detecting and identifying these objects in real-time as the vehicle is driving. For example, after rain, the program could pick up reflections on the road from nearby signs. In some cases, this could be very rare. Therefore engineers oversampled 180,000 videos to train the program on how to react.
Added "lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
Improved overall geometry and stability of lane predictions by updating the "lane guidance" module representation with information relevant to predicting crossing and oncoming lanes.
The Lane guidance module and perceptual loss to the Road Edges and Lines network are two essential components of FSD technology. The Lane guidance module is responsible for identifying the lane markings on the road. In contrast, the Perpetual loss to the road edges and lines network analyzes images to detect the edges of the road and any obstacles in the car's path. These two components have been updated to improve the total recall of lines by six percent and road edges by seven percent, reducing false observations of road edges, lane edges, and other features where they should not be detected. The Lane guidance module may apply to all driving scenarios, including city and highway driving. Improvements to the module's representation can enhance the stability of Lane predictions, particularly in complex situations like intersections.
Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.
Tesla made an impressive advancement in their Fleet Telemetry system by optimizing scheduling across twin SOCs and balancing compressed IPC buffers, leading to a 26% increase in telemetry data that can be sent back for analysis. IPC stands for inter-process communication, which is the communication between processes in a computer system, and SOC stands for system on a chip, a type of integrated circuit combining multiple computer components into one. In simpler terms, Tesla's improvement allows for better communication between two parallel chips in Hardware 3 and 4, which increases the amount of data they can send back for analysis. In addition, this extended telemetry timeframe from 10 to 12.5 or 13 seconds will enable Tesla to collect more contextual information, which can be useful for detecting objects earlier and avoiding potential road hazards.
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Back in October 2020, Tesla made waves by dissolving its public relations team—an unprecedented move in the automotive industry. Until then, Tesla’s PR department handled media inquiries and influencer outreach directly, building one-on-one relationships with journalists.
That kind of engagement helped shape the narrative, even as Tesla faced a steady stream of negative press. Remember all the “Tesla Killer” headlines? Or the negative stories about Autopilot, EV fires, and other exaggerated claims?
Nearly five years have passed since Tesla PR went the way of the dodo. But is it time to bring them back?
I believe it may be—both as a Tesla-focused journalist and as a longtime follower and customer. As a communications professional, I also bring an understanding of how organizations should communicate with their key stakeholders. For Tesla, that means customers, investors, and partners.
Social Media Isn’t Enough
Tesla primarily communicates through X, often via the personal accounts of its executives. While the company is quick to respond to viral news articles or social media posts it deems inaccurate, this reactive strategy isn’t very effective. It allows misleading information to linger in the public sphere for days, weeks, or even months without correction. To this day, many people still believe Tesla vehicles spontaneously catch fire—a myth that persists largely because Tesla hasn’t made a concerted effort to refute it through official channels.
Relying on social media to combat incorrect information lacks the weight and permanence of a formal press release or official statement. Making matters worse, the overwhelming volume of posts—especially Elon Musk’s 700+ tweets per week—buries key responses, making it unlikely that even the most dedicated followers will see them, let alone the general public.
Expecting Tesla’s leadership, including Elon, to constantly monitor and correct media narratives is not only unrealistic, but also a poor use of executive time. Their focus should be on steering the company, not playing an endless game of digital whack-a-mole. This kind of reactive communication is exactly why a dedicated public relations team is essential—something nearly every major company already understands.
Without a formal PR department, Tesla lacks the infrastructure to request corrections or retractions through proper journalistic channels. Take a recent example: a Tesla executive publicly disputed a false headline, yet the article remains live—with nothing more than a small note saying “Tesla has refuted this.” A tweet may challenge a story, but it doesn’t carry the authority or procedural heft of an official PR statement. As a result, the incorrect information stays alive and continues to shape public perception.
To make matters worse, the majority of people who engage with Tesla’s social media accounts—or with Elon directly—are already supporters or owners. This creates an echo chamber, where rebuttals and clarifications reach only those who already believe in the company, while the broader public and traditional media remain largely untouched.
Communicate with Customers
Tesla’s reliance on social media for communication feels aligned with its future-focused image—but that reliance is also one of its biggest shortcomings. Sharing key updates about product development, software rollouts, or policy changes almost exclusively through X means that crucial information often fails to reach the wider customer base.
Case in point: I recently came across a post in a large Tesla Facebook group where a user was confused about major changes to Full Self-Driving. They hadn’t used it in months, didn’t know V13 had been released, and were completely unfamiliar with the new settings. Their last experience was with V11, and all they wanted was to use FSD for an upcoming road trip.
Information like this—about feature updates, major changes, or even safety-related notices—should be distributed through more direct and dependable channels. For example, do you know how to check if your Tesla has an active recall? Most people don’t. It’s not available in the app or on the vehicle interface; you have to visit a specific page on Tesla’s website. That’s a clear communications gap.
A dedicated PR team could help fix this, establishing a more coordinated and accessible flow of information that doesn’t rely solely on social media. It would also improve the customer experience by making key updates easier to find and understand.
Then there’s the issue of customer feedback. While Tesla executives do receive input via X, that’s not a scalable or representative feedback loop. It leans on the same echo chamber that’s often hesitant to criticize publicly.
Despite Tesla collecting enormous amounts of vehicle telemetry and even voice feedback from FSD users, there’s no clear, public-facing way for customers to offer feedback directly. A good example: the backlash over the deactivation of the 12V sockets in the rear of the Model Y and Model X. It prevented many owners from powering sub-trunk fridges on road trips. Tesla will eventually re-enable the feature via a software update, but never acknowledged the issue, the complaints, or the fix.
Influencers
Tesla’s relationship with the influencer community is also beginning to shift. Historically, the company offered early access to Full Self-Driving features to select influencers, giving them the opportunity to showcase new capabilities before the broader public. But that approach seems to be evolving—early access now appears to be part of a larger, more public rollout strategy. As a result, Tesla-focused content creators, who have delivered significant value to the community, are no longer receiving the same level of support.
This shift is especially evident in the current referral program, which is now capped at 10 referrals. Many of the top influencers across X, YouTube, TikTok, and other platforms maxed out back in January. Under the new rules, they’re also unable to share someone else’s referral code—limiting the reach and impact of their promotion.
While Tesla still occasionally invites major YouTubers to help promote flagship vehicle launches or participate in high-profile interviews, these moments are few and far between. There’s a noticeable absence of a consistent, structured engagement strategy with content creators—a missed opportunity, especially for a company that famously doesn’t spend on traditional advertising.
Public-Facing View
In recent months, Tesla’s brand reputation has come under additional pressure. Much of this stems from the increasingly blurred lines between the company and Elon Musk’s high-profile, and often controversial, political and social commentary—including his public involvement with the current U.S. administration.
Without a dedicated corporate communications team, Tesla lacks a clear, authoritative voice to distinguish the company’s mission, values, and actions from Elon’s personal views. A skilled PR team could play a critical role in defining that line—crafting strategic messaging, issuing official statements that reflect corporate values, and managing the brand independently, while still allowing Elon to remain the public face of the company.
This gap becomes especially evident in moments of public criticism or protest. Tesla’s typical response—a reactive post on X—often falls short in both tone and reach, particularly when addressing complex or sensitive issues. A formal PR function would give Tesla the tools to engage more thoughtfully, issue timely and appropriate responses, and better protect a brand image that increasingly feels unstable.
Concluding Note
Almost five years have passed since Tesla dissolved its dedicated PR team and instead relied on the direct and often unfiltered communication from its executive suite through X. While it is undeniably disruptive and fitting to Tesla’s image, the limitations to this approach are becoming increasingly apparent.
From the struggle to formally correct persistent misinformation to the failure to ensure updates and changes reliably reach its entire customer base, to the underutilized potential of Tesla’s amazing influencer crowd, and the growing challenges of navigating a growingly negative public perception, reinstating a professional PR function wouldn’t be a step backwards.
Instead, it would provide the necessary structure for consistent messaging and proactive reputation management and allow Tesla’s leadership to focus on what they do best - electrifying the world, not responding to posts on social media.
In today’s environment, it’s pretty clear — it’s time for Tesla to bring back PR.
Tesla has just announced the contents and features of its 2025 Spring Update. There’s a lot of new content that we expected, as well as some stuff we didn’t see coming that will be arriving in Tesla’s next major release. Awesome new features, such as Adaptive Matrix High Beams, will finally become available in North America, while others like Grok’s voice assistant aren’t quite ready yet.
So, without further ado, let’s get cracking and take a look at everything in this awesome update.
Adaptive High Beams
The headliner feature of this update is the much-awaited Adaptive High Beams for North America - specifically the United States and Canada. We’ve been waiting a little over a year since it was launched in Europe last year. Tesla faced some regulatory delays in getting this approved, but it’s finally arriving for vehicles with newer headlights.
Adaptive High Beams reduce glare for traffic ahead of you by individually dimming specific pixels on the LED matrix. The feature shipped with the refreshed Model Y first and is now arriving for all other vehicles with matrix headlights. This includes newer Model S, Model 3, Model X, and Model Y vehicles - but not the Cybertruck.
The adaptive headlights in action.
Not a Tesla App
The Cybertruck’s signature headlights are too small to fit the LED matrix, and as such, this feature won’t be supported on the Cybertruck for the time being. Hopefully, Tesla will figure something out, but given that this is a hardware limitation, we don’t expect to see much here.
You can check out our guide on how to determine whether your vehicle is equipped with Matrix Headlights. If your vehicle has the hardware, you will see an Adaptive Headlights option under Controls > Lights > Adaptive Headlights after receiving the Spring Update. This feature will be enabled by default.
Improved Blind Spot Camera for Model S / X
The new blindspot camera in the driver's instrument cluster.
Not a Tesla App
In a surprise addition, Tesla is improving support for the Blind Spot Camera on the 2021+ refreshes of their flagship vehicles. Previously, the blind spot camera on these vehicles would only appear on the primary infotainment screen, not the driver’s instrument panel, which was essentially copied over from the Model 3/Y.
Now, drivers will have the option to choose which display the blind spot camera appears on. A setting under Controls > Display > Automatic Blind Spot Camera will allow drivers to choose “Driver Screen”, so that the blind spot camera appears to the left or right side of the instrument cluster, depending on which turn signal you activate. For these vehicles with an instrument cluster directly in front of the driver, this is a much better implementation of the feature than how it was originally designed.
Dashcam Update - B Pillar Cameras
As part of a much-requested update, given the increased and misguided vandalism against Tesla vehicles, Tesla’s team has finally updated their software to record the B-pillar (upper side) cameras as part of both Dashcam and Sentry Mode.
While this means that Dashcam and Sentry Mode footage will now likely take up more room on your USB drive due to recording two additional cameras, it also means that your vehicle is much better protected. Dashcam and Sentry Mode now record from every camera except for the additional front-facing cameras and the interior camera.
Note: It looks like this feature will be limited to newer vehicles, likely those with AI4.
Improved Dashcam Viewer
The updated dashcam viewer.
Not a Tesla App
The Dashcam Viewer in the vehicle is also being improved with this update. Taking a page from the Tesla app, the app in the vehicle will now display multiple camera feeds at the same time, with users having the option to focus on an individual feed if desired.
Due to the additional cameras being recorded, Tesla is now laying out all the camera feeds along the bottom, instead of at each corner of the screen.
The new UI also reveals that there will be buttons to jump back or forward in 15-second increments, while at the top right, you’ll have a link to the next video, instead of having to go back to the list of videos.
Requirements for Dashcam and Sentry Mode Updates
Unfortunately, there is some bad news regarding compatibility with the B-pillar camera recording and this improved Dashcam Viewer. Tesla says the Dashcam updates will only apply to newer “S3XY” vehicles, but they don’t specify the exact requirement.
Based on previous Tesla posts, where they usually list if a feature requires the AMD Ryzen infotainment processor, this requirement doesn’t sound like an Intel vs AMD issue, but instead one that relies on AI4 hardware, which is responsible for processing the video feeds.
Tesla’s “S3XY” requirement also leaves out the Cybertruck, but this seems like an oversight. Given some previously leaked footage of this feature, we expect the Cybertruck to also receive this feature with the Spring Update.
We recently covered routing options on the site, and we believe a lot of people will be pleased with these additions, so if you’ve been craving improved routing options, keep reading.
There are three new routing options to check out. Users will now be able to pick from three types of routing options when choosing a destination. We originally saw these as part of the navigation source code discovered in December 2024.
Fastest: This offers the quickest path to the destination, ignoring any attempts at efficiency or stopping more often to do short charges.
Best Amenities & Fewer Stops:This routing mode minimizes your charge stops in exchange for making them longer, but also allows you to stop near highly rated restaurants, shops, and restrooms for a more relaxing trip.
Avoid Highways: This much-requested feature will enable you to keep your navigation routing away from highways unless they are absolutely required to reach your destination. Hurray for the country roads and relaxed driving.
Requirements: While we’re not sure yet which vehicles will receive these options, we expect it to arrive on all vehicles except for potentially legacy Model S/X.
Trunk Height Based on Location
Another neat and useful little feature: you will now be able to save your trunk opening height based on location rather than applying a general maximum trunk height. If you didn’t already know, you could set the maximum height your automated trunk opens, which can help prevent it from hitting a lower garage ceiling.
This feature is already available on the refreshed Model Y but is now coming to all Model Ys, all Model 3s with automated trunks, and the 2021+ Model S and Model X.
In order to set your height, manually adjust the liftgate to your preferred opening height, and then press and hold the trunk button until you hear a chime in the vehicle, indicating that the height for this location has been set.
Save Frunk Height - Cybertruck
Tesla didn’t forget about the Cybertruck either - you can now do the same with the opening height for the Cybertruck as well. You’ll have to press the exterior (below the bottom center) frunk button and hold it until you hear a chime for the Cybertruck. Pressing the in-frunk button will simply close the frunk.
Accessory Power Option Enables 12V Sockets
Tesla is finally re-enabling 12V accessory power sockets throughout its cars with a new “Accessory Power” option, enabling anyone to use the 12V power sockets in Tesla’s vehicle lineup when they’re away from their vehicle, without needing Camp Mode. This also applies to the USB ports and wireless phone chargers throughout the vehicle.
The Model Y and Model X include a 12V socket in the rear left pillar of the vehicle, alongside a 12V socket in the front of the vehicle. The Model 3 and Model S only have a 12V socket in the front of the vehicle.
You can turn this feature on by going to Controls > Charging > Keep Accessory Power On. This feature is disabled by default and is turned off once the vehicle battery drops to 20% or below. Tesla warns that this feature will use additional power, so it’s best to only use it when needed.
Comfort Drive Mode on the Cybertruck
Following the recent addition of the Comfort Mode option in the Model 3, Tesla is adding the feature to the Cybertruck as well. This feature will automatically switch the vehicle dynamics to “Comfort”, which includes a higher ride height, softer suspension and steering response, and reduction in acceleration profile to Chill Mode while FSD or TACC are active.
You can enable or disable this feature from Controls > Autopilot > Use Comfort Mode in Autopilot. This feature will be enabled by default.
Lane Departure Avoidance on the Cybertruck
Interestingly, the Cybertruck launched without several Autopilot safety and assistance features - namely, because Basic Autopilot itself is missing from the Cybertruck - only FSD and TACC are available. As part of an improvement to safety, Lane Departure Avoidance has now arrived on the Cybertruck with the Spring Update.
This will show a blue indicator on the screen if you begin or are about to begin crossing a lane marking. You will have three options, just like with other Tesla vehicles, including None, Warning, and Assistance. Assistance will provide active feedback and move the vehicle back into the lane lines, while the warning will sound an audio tone and provide visual and physical feedback (vibration) to the steering wheel.
This feature will be enabled by default with Assistance selected and can be changed from Controls > Autopilot > Lane Departure Avoidance.
Minor Updates
Tesla also lists some other smaller details that will be included as part of the 2025 Spring Update, which include these features below:
Keyboard Languages
Go to Controls > Display > Keyboards to switch languages on the touchscreen keyboard.
Media search results are filtered by sources, which provides faster access to your content.
You can now shuffle an entire Apple Music playlist that contains more than 100 songs!
You can scroll through SiriusXM favorites by tapping the left steering wheel button left or right, similar to other services.
You can now sign in to Amazon Music with an Amazon Music Free account. You still require Premium Connectivity or WiFi to stream music.
YouTube Music now shows what song will play next in the Up Next view of the media player.
If you normally connect your vehicle to your phone’s hotspot, this feature will now be enabled every time you drive instead of having you manually connect it each time.
Features We’re Hoping Come Soon
This was an awesome update, but there are always more features we’d love to see come next. Here’s our short list of features we’re still waiting and hoping for.
Everyone’s favorite question is always, When will it be released? Well, it looks like soon. We haven’t seen any vehicles, including employees, receive the Spring Update just yet. However, given that Tesla has officially announced the update, we expect it to go out to employees as soon as this weekend.
Update: Tesla has now started rolling out this update to employees. As expected, it’ll be software update 2025.14.
If no major issues are found, we could see it start rolling out to the lucky first customers in about a week, but be prepared for a slightly longer wait if Tesla needs to reduce multiple revisions of the update before rolling it out publicly.
![Tesla’s Missing Voice: Why a PR Team Matters More Than Ever [Opinion]](https://www.notateslaapp.com/img/containers/article_images/multiple-models/group_93.jpg/4e1056961f0480c7b9eff43dd2ec288e/group_93.jpg)
