Tesla adds Driver Monitoring System, DMS to Model 3 and Model Y cars with a cabin camera

By Nuno Cristovao

Tesla Autopilot has always required and will require full driver attention for the foreseeable future. Tesla enforced this by detecting whether torque was being applied to the steering wheel.

Tesla's DMS

Tesla has relied on this method since the introduction of Autopilot, but unfortunately there have been several flaws with it for years.

Since Tesla is looking for a certain amount of force to be applied to the steering wheel, sometimes the car can ask for the driver’s attention even when the driver is attentive and their hands are on the steering wheel. The interval that the car checks for active participation has changed over the years, but with it being somewhere around 30-60 seconds, it can sometimes become an annoyance to drivers.

The second reason that detecting torque on the steering wheel doesn’t work well as a driver monitoring system is that it is easily defeated. There have been numerous devices that mimic the force of hands on the steering wheel and let's face it, it doesn’t lead to anything good for the driver or Tesla.

Tesla's Driver Monitoring System

Yesterday we saw the first vehicles to introduce a true driver monitoring system. For vehicles with a cabin camera, which include all Model 3 and Model Y vehicles, Tesla will be able to turn on their camera-based driver monitoring system (DMS). It appears that the feature is currently limited to the US and only for radar-less cars, but we expect this to change in the future. The release notes for 2021.4.15.11 state that:

Update: With the release of update 2021.32.5, Tesla has started to roll out driver monitoring to vehicles with radar as well. It is also expanding the feature to outside of the US.

The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged. Camera data does not leave the car itself, which means the system cannot save or transmit information unless data shared is enabled. To change your data settings, tap Controls > Safety & Security > Data Sharing on your car's touchscreen.

Much like Tesla implements FSD, the cabin camera will be recording and analyzing the video stream and attempting to detect several objects and driver attributes. Each attribute then gets a probability assigned to it. If the threshold is high enough for any given attribute that Tesla deems as the driver not paying attention, then the car can take additional action from there such as turn off Autopilot, pull over or ask the driver to pay attention.

According to GreenTheOnly on Twitter, the camera will be detecting whether the driver is looking down or to the side and tracking eye movement and detecting other things as well such as whether the driver is wearing sunglasses and how well the camera can see. Although Tesla is looking for a variety of distractions, it looks like they are only currently triggering alerts when the driver is on their phone and not looking at the road.

The first cars have started rolling out with this feature enabled and it hasn't replaced Tesla’s steering wheel torque detection, but is providing another layer of protection. We hope as Tesla expands its capability in the future it may one day replace having your hands on the Tesla wheel completely.

Tesla has also recently rolled out detecting whether there is a driver in the driver’s seat during the use of Autopilot. It’s possible Tesla will create an algorithm with all of these attributes and ultimately decide whether the driver is paying attention or not. This could greatly reduce the amount of times the driver is asked to pay attention when they already are and also increase safety by reminding us when we’re not.

Tesla to Replace Battery Seals on Select Model S and Model X Vehicles

By Karan Singh
Not a Tesla App

Tesla has begun reaching out to customers to replace the high-voltage battery pack seals in Model S and Model X vehicles manufactured between 2021 and 2022. In particular, this impacts vehicles between January 2021 and September 22, 2022. 

Tesla is notifying impacted owners through a notification and message in the Tesla app.

Plunger Replacement

The high-voltage battery port plungers intended for internal water leak egress (also known as flood ports) are being replaced with improved parts. The new parts are designed to be more robust against external water ingress due to submersion during flooding or other high-severity water impacts.

Tesla specifically notes that no action is needed from owners at this time - once the parts are available, owners will be notified with a notification from the app to encourage them to schedule a service appointment.

This voluntary recall is likely related to the incident where the fully submerged Model X caught on fire underwater, requiring first responders to wait for the battery to burn out before recovering the vehicle. That incident occurred back in October 2023. 

While Submarine Mode is a fun Easter Egg, it doesn’t actually improve your vehicle’s water rating.

Service Details

Taking a look at the Service Bulletin (SB-25-16-002), Tesla will be replacing all five flood ports and, if necessary, the breather plugs and flood port doors. Tesla will require you to take your vehicle in for this appointment, which should take approximately 90 minutes for the Model S, and approximately 60 minutes for the Model X. Tesla’s Mobile Rangers won’t be able to complete this activity in your driveway.

The part being replaced is the plug.
The part being replaced is the plug.
Not a Tesla App

Because this is a voluntary recall, Tesla will be offering this as a goodwill service for any owners who have exceeded their Model S or Model X limited battery warranty - so don’t hesitate to take your vehicle in.

Musk Teases Major Improvements to FSD — Is Version 14 on the Way?

By Karan Singh
Not a Tesla App

Following a period of radio silence from Tesla on FSD updates, Elon Musk has finally hinted that progress is continuing behind the scenes on FSD and that “Several major improvements are incoming.” We’re pretty excited - it has been over 100 days since the last FSD update, and we haven’t heard much since then.

The latest versions of FSD were V13.2.8 for AI4 vehicles and V12.6.2 for HW3 vehicles, both of which were released in January of this year — almost four months ago. While development has been ongoing internally, many have been wondering what the next public release will be. Will it be FSD V13.3, or will we jump straight to FSD V14.

Decoupled Releases & Spring Update

Tesla has now begun pushing Early Access users the 2025 Spring Update without an FSD version change. This means that we can expect the next FSD update to likely be based on the 2025.14 branch.

It’s worth noting that Tesla can add improvements to FSD at any time - and sometimes they do make minor changes without incrementing release numbers - small flag changes in FSD’s software to address how it does a specific task, or what data is uploaded.

With all that said, we expect the Spring Update to begin going out to more of the fleet in the coming days. We’re currently seeing about 58% of the fleet on the Spring Update, and only 30% of the fleet on the older 2025.8 January Update.

Update 2025.14.3.1

FSD Supervised 12.6.4 & 13.2.8
Installed on 42.5% of fleet
3 Installs today
Last updated: May 8, 5:10 am UTC

Cybertruck FSD

Not A Tesla App received information that an upcoming update was set to bring features from other AI4 vehicles to the Cybertruck, including Start FSD from Park, Unpark, Actually Smart Summon, and more. This update was intended to bring it closer to feature parity with the rest of Tesla’s AI4 fleet, but for now, Cybertruck remains the redheaded stepchild of the fleet.

We’re still confident that Tesla is working on this, and the continued delays on the release of an FSD update could point to the Cybertruck and a lack of data continuing to be a pain point for Tesla’s AI team. Cybertruck owners, including the author, have noted that FSD-equipped Cybertrucks continue to upload several hundred gigabytes or more of data per month. This topped out at nearly 1.9 TB of data uploaded in April 2025 for the author.

That’s a massive amount of data - and other users on social media have mentioned much the same for their own Cybertrucks. Tesla needs as much data as possible to tune the FSD models, and given the small fleet size for the Cybertruck, it requires a vast amount of data per user.

“Major Improvements”

While Elon didn’t mention what constitutes these major improvements, we have a lot of expectations besides what we know about the Cybertruck. Learning from the recent and successful FSD launch in China, Tesla is now able to utilize a more generalized model without specific local training data. This could potentially translate into better performance in North America as well, as the 7.7 million miles globally driven on FSD every day are feeding back into Tesla’s data loop.

We’re hopeful that future improvements continue to focus on improving tracking and decision-making, as well as lane handling. FSD users on X continue to point out issues with lane selection and lane keeping in the latest versions of FSD. On the flipside, Tesla has greatly increased the comfort and smoothness of FSD - and V13 is a prime example of that.

While V13.2.8  is also capable of pulling into parking stalls both forwards and in reverse (thanks to one of those flag changes recently), it does an oddly poor job of parking. Tesla’s Vision Autopark, on the other hand, is exceptionally accurate, even with big vehicles like the Cybertruck. It feels like Tesla is working on the parking lot stack to prepare for the upcoming launch of Robotaxi in June.

What About FSD V14

Back in the Q4 2024 Earnings Call, we heard about FSD V14, and just learned a little bit of what will make it unique. In this case, it's auto-regressive transformers that will improve FSD’s already powerful perception system and help it to predict better how other vehicles and road users will behave around it.

That, alongside a larger model and increased context size, will help FSD manage edge cases and make better decisions. The larger model and context size increases are likely another challenge for Tesla, which is already pushing the hardware limits of AI4 with FSD V13.

We did a deep dive into what we know about V14, which you can read here.

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