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Tesla provides details on recent Autopilot crash amid NHTSA investigation
Tesla has released its findings about the recent Model S Autopilot crash in South Jordan, Utah. The accident, which involved a Model S crashing into a parked firetruck at 60 mph last Friday, is currently under investigation by the NHTSA. The driver of the Model S, a 28-year-old Lehi woman who escaped the collision with a broken ankle, later stated that the car had been on Autopilot when the accident happened.
Technicians from the electric car company have issued their findings after retrieving the vehicle’s logs. Here are the conclusions from Tesla’s report.
- The driver engaged Autosteer and Traffic Aware Cruise Control on multiple occasions during this drive cycle. She repeatedly canceled and then re-engaged these features, and regularly adjusted the vehicle’s cruising speed.
- Drivers are repeatedly advised Autopilot features do not make Tesla vehicles “autonomous” and that the driver absolutely must remain vigilant with their eyes on the road, hands on the wheel and they must be prepared to take any and all action necessary to avoid hazards on the road.
- The vehicle registered more than a dozen instances of her hands being off the steering wheel in this drive cycle. On two such occasions, she had her hands off the wheel for more than one minute each time and her hands came back on only after a visual alert was provided. Each time she put her hands back on the wheel, she took them back off the wheel after a few seconds.
- About 1 minute and 22 seconds before the crash, she re-enabled Autosteer and Cruise Control, and then, within two seconds, took her hands off the steering wheel again. She did not touch the steering wheel for the next 80 seconds until the crash happened; this is consistent with her admission that she was looking at her phone at the time.
- The vehicle was traveling at about 60 mph when the crash happened. This is the speed the driver selected.
- The driver manually pressed the vehicle brake pedal fractions of a second prior to the crash.
- Contrary to the proper use of Autopilot, the driver did not pay attention to the road at all times, did not keep her hands on the steering wheel, and she used it on a street with no center median and with stoplight-controlled intersections.
In a statement to the Deseret News, South Jordan Police Sgt. Sam Winkler stated that the driver of the electric car had been looking at her smartphone because she was searching for an alternate route.
“She looked up just as the accident was about to happen,” Winkler said.
Police have issued the Model S driver with a traffic citation due to her “failure to keep a proper lookout.” The citation was issued to the Model S driver this Wednesday.
The NHTSA has opened an investigation on the accident on Wednesday as well. In an emailed statement to CNBC News, the NHTSA noted that it is deploying a special investigation team to gather information about the accident.
“Consistent with NHTSA’s oversight and authority over the safety of all motor vehicles and equipment, the agency has launched its special crash investigations team to gather information on the South Jordan, Utah, crash. NHTSA will take appropriate action based on its review,” the NHTSA wrote.
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
Tesla CEO Elon Musk has commented on the crash through his personal Twitter account, stating that what’s noteworthy about the accident was that the driver of the vehicle only broke an ankle despite crashing into a firetruck at 60 mph. Musk noted that such accidents at such speeds “usually result in severe injury or death.” In a later tweet, however, Musk stated that Autopilot does need to get better.
It certainly needs to be better & we work to improve it every day, but perfect is enemy of good. A system that, on balance, saves lives & reduces injuries should be released.
— Elon Musk (@elonmusk) May 14, 2018
Tesla’s Autopilot system is a focal point of an ongoing NTSB investigation about a Model X crash near Mountain View, CA. During that incident, the Model X smashed into a bare crash attenuator while traveling at highway speeds, resulting in the tragic loss of its driver. Tesla and the NTSB ultimately parted ways as the investigation proceeded, mainly due to the electric car maker’s release of data pertaining to the crash before the NTSB’s investigation was complete.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI
The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
News
Tesla adds awesome new driving feature to Model Y
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla writes in the release notes for the feature:
“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”
🚨 Tesla has added a new “Comfort Braking” update with 2026.8
“Your Tesla provides a smoother feel as you come to a complete stop during routine braking.” https://t.co/afqCpBSVeA pic.twitter.com/C6MRmzfzls
— TESLARATI (@Teslarati) March 13, 2026
Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.
There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.
This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.
Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.
Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.
We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.
News
Tesla finally brings a Robotaxi update that Android users will love
The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.
Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.
Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.
According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.
🚨 It looks like Tesla is preparing to launch the Robotaxi app for Android users at last!
A decompile of v26.2.0 of the Robotaxi app shows some progress on the Android side for Robotaxi 🤖 🚗 https://t.co/mThmoYuVLy
— TESLARATI (@Teslarati) March 13, 2026
The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:
“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”
This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.
The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.
Tesla is working to increase Android capabilities in its vehicles
Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”
Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.
Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.



