In a notable deviation from its typical media strategy, Tesla has issued a pointed rebuttal to a recent Washington Post article criticizing Autopilot. This response is rare for Tesla, which generally remains silent in the face of media critique. The company's statement begins emphatically: "While there are many articles that do not accurately convey the nature of our safety systems, the recent Washington Post article is particularly egregious in its misstatements and lack of relevant context."
According to Tesla, the misrepresentation starts in the story's second paragraph. The Post states the driver of a Tesla who caused a crash in Key Largo in 2019 said he was “driving on cruise,” but that wasn’t the end of his statement. He continued, “I expect to be the driver and be responsible for this.” The Post had the driver's statements to police, reports, and statements made in litigation supporting that claim.
The company points out that the Tesla driver in this 2019 incident settled with the crash victims, acknowledging individual responsibility. Tesla also highlights that Autopilot restricted the vehicle's speed to 45 mph, but the driver manually maintained a higher speed, which requires pressing the accelerator pedal. This was a critical factor in the crash.
Refuting Misleading Allegations
Tesla refutes several allegations in the Washington Post article, clarifying that the lawsuit regarding the Key Largo crash does not mention driver complacency or the so-called "Operational Design Domain." The company also notes that the driver involved in the collision admitted to his responsibility, countering claims of over-reliance on the Autopilot system.
The company emphasizes the role of driver responsibility, even when Autopilot is active. The company states that while Autopilot is a Level 2 driver-assist system, it requires the driver to always be in control and attentive. Tesla also mentions advanced safety measures like torque-based (the nag) and camera-based monitoring systems to ensure driver engagement.
Challenging Media Bias
Tesla's statement challenges what it perceives as biased and incompetent media reporting. The company argues for the necessity of balanced reporting that acknowledges both the potential and limitations of advanced driver-assistance systems.
Addressing the safety concerns, Tesla provides compelling statistics: In the 4th quarter of 2022, there was one crash for every 4.85 million miles driven with Autopilot engaged, compared to one crash every 1.40 million miles without Autopilot. This data, Tesla argues, demonstrates that Autopilot significantly enhances safety, contradicting the narrative presented in the Washington Post article.
Concluding its response, Tesla reaffirms its commitment to road safety and technological innovation. The company expresses its willingness to collaborate with global regulators to enhance safety on the road further.
This detailed response from Tesla underscores the importance of comprehensive and balanced media coverage, especially when discussing advanced technologies like Autopilot. However, does Tesla have the time, patience, or resources to combat all the adverse, biased reporting against it? It may have no choice but to correct misconceptions and highlight its dedication to improving automotive safety.
Tesla has released software update 2025.2.6, and while minor updates typically focus on bug fixes, this one introduces a major new feature. With this update, Tesla has activated the in-cabin radar, a sensor that has been included in some vehicles for more than three years but remained unused until now.
Why Not Vision?
Unlike vision-based systems, radar can precisely measure object dimensions and even detect movement behind obstacles by bouncing radio waves off surrounding surfaces. This allows for more accurate and reliable measurements of objects that vision may not even be able to see, such as behind the front seats.
What Tesla Announced
Tesla recently highlighted the 4D radar in the new Model Y, explaining how it will improve passenger safety. Tesla executives stated that the radar would be used to properly classify passengers and improve the way airbags deploy.
Tesla went on to say that in a future update, Tesla will use the in-cabin radar to detect any potential passengers left in the vehicles. Since radar can even pick up on heartbeat and breathing patterns, it can provide a much more accurate method of detecting children left in a vehicle. Tesla talked about how the vehicle will send owners a notification via the Tesla app and enable the HVAC system if it detects a passenger in the vehicle. It’ll even call emergency services if needed.
New Feature in Update 2025.2.6
Tesla has officially named this feature in update 2025.2.6, “First-Row Cabin Sensing Update,” which appears to align with the first portion of what Tesla discussed in the new Model Y video.
In the release notes, Tesla describes the update as:
“The first-row cabin sensing system has been updated to use cabin radar, which is now standard in all new 2025 Model Ys. Your Model Y was built pre-equipped with the necessary hardware, allowing Tesla to also bring this technology to your vehicle.”
For now, it appears that Tesla is using the radar to detect and classify passengers in the front seats. This could eventually replace traditional seat sensors, reducing the number of hardware components and lowering production costs.
Tesla plans to expand the feature later this year, bringing rear-seat passenger detection in Q3 2025. While Tesla talked about the feature for the new Model Y, we expect it to be available for all vehicles with the in-cabin radar.
Supported Models
Although Tesla is vague in their release notes, this feature is being added to all Model Ys that include a cabin radar. Tesla started including the cabin radar in 2022, but its availability may vary by region and model. The Model 3 didn’t receive the cabin radar until it was redesigned in 2024, while all Cybertrucks already include it.
The owner’s manual for the redesigned Model S and Model X doesn’t specifically mention the interior radar, although Greentheonly believes the vehicles also include one, so we’ll have to wait to determine whether those vehicles also receive this new feature.
At this time, the feature appears to be only going out to Model Y vehicles, but we expect it to become available on other supported models soon.
We love to see these kinds of updates. Tesla is increasing the safety of existing and new vehicles through a software update while also making them more affordable to own.
Tesla has updated the Tesla app to version 4.42.0, and this time, it’s more than just bug fixes. The app includes a new service interface, introduces support for the new Model Y, and, for the first time, includes some code for the Robotaxi coming later this year.
This update was released for iOS and should be available on Android within a few days.
Refreshed Model Y 3D Model
First up in the update is the introduction of the 3D model for the refreshed Model Y. Interestingly, while we all know it as Juniper, the file code name inside the update lists the vehicle as “Bayberry.” The Bayberry name was introduced in Tesla app update 4.41.5. Tesla’s internal code names sometimes change as the vehicle evolves - and we’ll continue to refer to it as the refreshed or new Model Y for ease of understanding.
A rear-angle shot of the Refreshed Model Y from the Tesla App
@olympusdev_ on X
As usual with Tesla’s 3D models in the app, there’s a lot of detail, although it’s not easy to see since you can pinch and zoom the model in the app. The 3D models used in the app are actually the same models that Tesla uses in the vehicle, although sometimes they include different lighting effects, but they’re all highly detailed.
Robotaxi API
Tesla has added a new endpoint in their app for Robotaxi - and it’s the very first Robotaxi or Cybercab-related item we’ve seen in the app. With the Robotaxi fleet launching in June, according to Tesla, it looks like they’re now adding support to the Tesla app.
What the Robotaxi interface is supposed to look like in the future.
Not a Tesla App
The new app API is called “rides_feedback_upload,” which seems pretty explanatory. Tesla will need to gather a lot of information on ride quality and all the little things in between. What better way than to get feedback directly from users?
While Tesla previously released prototype images of what the Robotaxi app will look like, the introduction of this API into the Tesla app leads us to believe that Tesla will utilize the current app for Robotaxi use.
Updated Service Interface
The Updated Service Panel in the Tesla App
Not a Tesla App
Tesla has released an updated UI for the Tesla Service panel, and we have a ton of details on these changes. This new pane displays appointment details more prominently. If you have a service appointment scheduled, you’ll now see a lot more details on the main service screen. The app will now display:
Your current service status
Appointment date and time, which you can now tap on to add the event to your calendar
Address and hours of the service center. You can now also tap on the address to open up the location in your maps app
There’s also a new appointment details screen (the right portion of the image). This screen displays additional details that were previously unavailable, such as your transport type. The app will display whether you’ll get a loaner vehicle, demo vehicle, or something else.
There are a ton of user experience (UX) improvements in this update regarding service, including clearer language, improved UI fixes to images, and more.
Tesla has been making a lot of positive updates to the Service-related sections of the app lately, and we’re happy to see these coming rapid-fire. Tesla Service is now easier to use and understand. In the previous app update, Tesla also added the ability to pull down to update the service screens.
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