How to Restart Your Tesla, Reboot or Reset Your Frozen Screen

Model S
Model 3
Model X
Model Y
By Nuno Cristovao

We may all be familiar with the need to reset our PCs or phones. They may freeze or just not operate properly sometimes.

Upcoming feature: Tesla to automate seat heaters and window defrost

Since Tesla is heavily software based, the same need may arise. The Tesla manual lists 3 different ways of reseting or rebooting your car.

Reset Your Display

Most issues that you encounter with your Tesla can be fixed with a simple reboot. It works the same whether you have a Model 3, Model Y, Model S or Model X.

This will fix issues such as music not playing, the display being frozen and countless others. It's simple and quick to do and can even be done while driving, so it should be your first attempt of fixing any issues.

This reboot will only restart the infotainment center, it will not restart any components that are critical while driving. The one thing to keep in mind is that the display will turn off and need a few minutes to restart, so during that time you will not be able to see your speed, hear turn signals or other things that depend on the screen or sound system of the car.

To restart your display, hold down on both scroll wheels on the steering wheel until the display turns off.

The unit will restart and you'll soon see the Tesla T logo appear, followed by the screens coming back on.

The restart process should take no longer than 2-3 minutes.

Full Restart of Tesla Systems

For this type of reboot you'll need to be parked as it will restart various vehicle systems.

Use touchscreen and go to Controls > Safety & Security then tap the Power Off button.

The vehicle will start to reboot various systems. You'll want to wait for at least 2 minutes without interacting with the vehicle. Do not open door, touch the brake pedal or touch the screen. Doing so may prevent all systems from restarting.

After 2 minutes, press the brake or open the door to wake the vehicle.

You can view all of our Tesla Tips in our Tips section.

Tesla Confirms Reduced Driver Monitoring on FSD v13.2.9

By Karan Singh
@WifeDirtyTesla

Tesla’s FSD has made some truly incredible strides since V11, and since FSD V12.5, the experience has been hands-free for vehicles with a cabin camera.

However, a persistent point of frustration for many users is the strictness of the Driver Monitoring System (DMS), often referred to as the “nag.” In a recent interaction on X, Mike P detailed his grievances about how strict the DMS was.

This post drew a response from Elon Musk, who said, “You’re right.” Just a few days and a relatively unassuming point release later, Tesla has already decided to take action to improve its DMS.

The core issue here, which many who use FSD can attest to, isn’t about wanting to be irresponsible. Instead, it is about the current system’s sensitivity. The DMS can feel overly punitive for brief, normal interactions with the vehicle’s center display.

User Experience Woes

Mike P’s experience was common - you can’t even glance at the display to change the song or add a nav stop without the DMS warning you to pay attention.

If you continue, then you risk receiving a FSD strike. This leads to most drivers disabling FSD and typing their destination in while manually driving. For the casual observer, you can tell that it is clearly far more dangerous.

This highlights a safety paradox: a system designed to ensure attentiveness can sometimes lead to less safe workarounds. One must acknowledge that Tesla is in an odd position, being incredibly cautious about safety and ensuring it stays within NHTSA guidelines. However, the nag today is overkill in some situations, such as glancing at the center screen.

Tesla Confirms Change

Musk’s relatively concise answer resonated with his previous outlook on the matter. During Tesla’s Q1 2025 Earnings Call, he acknowledged that the DMS can be too strict and mentioned that Tesla is actively looking into ways to loosen those restrictions. He also pointed out the irony between the current system encouraging users to disengage FSD for simple tasks, only to re-engage it moments later - a less-than-safe cycle.

In a post on X, Ashok Elluswamy, Tesla’s VP of Autopilot AI, delivered welcome news. He confirmed that the latest FSD update, V13.2.9, includes a loosening of the cabin camera nag. This is an undocumented change, and one that we’re very excited to see.

This undocumented change is the latest step in Tesla’s overall plan forward Unsupervised FSD, which would drop the DMS completely. Previous updates, like the shift to vision-based driver attention monitoring in V12.4 and V12.5, aimed to balance safety with user experience.

What Does This Mean?

While the full extent of changes in V13.2.9 will become clearer as Software Update 2025.14.6 rolls out to more FSD users, the confirmation of loosened cabin camera nag suggests a few things.

Update 2025.14.6

FSD Supervised 12.6.4 & 13.2.9
Installed on 31.7% of fleet
0 Installs today
Last updated: May 17, 5:00 am UTC

This likely means greater tolerance for brief glances at the screen for essential tasks, whether it be adjusting climate settings, inputting a nav destination, or changing the current song. It could also include a potentially more forgiving threshold for looking away, especially in low-speed scenarios. The DMS does not ding you for using the display or looking away while the vehicle is waiting at a red light today, but Tesla could expand this to driving under 10 mph (16 km/h).

Inside Tesla’s AI Genius: VP Ashok Elluswamy Talks FSD, AGI, and the Future [VIDEO]

By Karan Singh
Not a Tesla App

Ashok Elluswamy, Tesla's Vice President of Autopilot and AI Software, recently discussed Tesla's artificial intelligence programs' current state and future ambitions. He covered FSD and then extended it to the broader topics of robotics and Artificial General Intelligence (AGI). 

Journey to Truly Autonomous Driving

At the core of Tesla’s AI efforts lies the quest for fully autonomous vehicles. Ashok reiterated the long-term vision where, eventually, all newly manufactured cars are expected to be self-driving, with older, human-driven cars potentially becoming items for specialized hobbies or unique purposes.

However, he did acknowledge that the current advanced driver assistance systems (ADAS), including Tesla’s own FSD, require better reliability before the human can be completely removed from the equation.

The development process, he emphasized, is fundamentally rooted in machine learning rather than traditional programming. A crucial aspect of this is that AI is consistent across every vehicle, learning collectively from the fleet’s experiences rather than being unique to each car. 

Progress in AI is continuous.

Safety and reliability remain Tesla’s focus for FSD. Now, with Tesla just weeks away from launching its Robotaxi Network in Austin, Texas, this is more true than ever, as any accidents could cause a delay in the program’s expansion or stop the program entirely.

No LiDAR

Ashok confirmed that Tesla still has no interest in LiDAR while discussing Tesla's vision-based sensor suite. He reiterated that cost and scalability remain key concerns with LiDAR, adding that its perceived usefulness diminishes as vision-based systems continue to improve.

Beyond the Road: FSD and Robotics

Ashok described Tesla’s AI network poetically - a “digital living being.” This emphasizes the organic way FSD absorbs information from the environment and learns from it. But FSD isn’t just for cars. Tesla uses FSD, as well as the same AI4 hardware from its vehicles, for its humanoid robot, Optimus. 

Ashok expects that there will be a tremendous wave in robotics over the next 10 to 20 years. A key part of this will be the development of humanoid robots, which he believes will eventually be capable of complex industrial and domestic tasks, interacting with natural language, likely by 2035.

This recent surge in AI capabilities has been heavily driven by advancements in deep learning and the availability of massive computing power. Tesla is making heavy investments in both software and hardware. It recently started construction of its Cortex 2.0 Supercomputer cluster at Giga Texas.

Envisioning Sustainable Abundance & AGI

The conversation also covered the topics of Artificial General Intelligence. Ashok offered a pretty bold prediction that AGI will arrive in as little as the next 10 years, based on the rate of advancement that he’s seen so far. He further projected that AI-based software could become capable of performing most human tasks, whether spreadsheets or even robotic athletics, within the next 15 years.

This technological leap, he believes, ties into Tesla’s newer mission statement of sustainable abundance. Sustainable abundance is where the combination of intelligent machines and effective robotics helps to move greater portions of society away from poverty. This has become Tesla’s guiding philosophy since the 2025 All-Hands Meeting earlier this year.

Sustainable abundance should be a win-win scenario for all involved, helping reshape both production and creative industries to help humans do what they want to do rather than what they have to do.

Future of Mobility

As FSD and other AGI tech mature, Ashok believes that all cars being manufactured by 2035 will become autonomous. By then, the very concept of car ownership may change and transform. Owning a car would be a more “premium experience,” as the convenience and efficiency of self-driving vehicles might make personal ownership less of a necessity for many people. This shift would also necessitate infrastructure improvements to accommodate potentially increased vehicle usage.

We took a look at what the future may look like when autonomous vehicles become commonplace. It’ll have a drastic effect on our society, as parking lots will need to be a fraction of the size they are today, drop-off and loading zones will need to be bigger, and, for the most part, road signs may no longer be needed.

Touching on Tesla India

Touching on the Indian vehicle market, Ashok noted that EVs, especially when combined with technologies like FSD, are well suited to the typical travel patterns in India and could make a big difference. With Tesla putting its eyes on a potential factory expansion in the coming years in India, there’s a lot riding on Tesla being able to take on the challenge of Indian roadways, where traffic laws are not enforced and well known.

Ashok’s interview was a fantastic look into what he believes will be next for Tesla - and he left with some parting advice for the next generation of engineers. 

Master core concepts and leverage the wealth of online resources available. There is an emphasis on talent and innovation over traditional corporate hierarchies, and don’t forget your priorities: work and family.

You can watch the full interview here. Closed captioning is available.

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