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Tesla argues human error caused fatal 2019 crash, not Autopilot: report
Tesla now faces the jury’s verdict in a trial alleging that Autopilot caused a fatality, and the trial is expected to set a precedent for future cases surrounding advanced driver assistance systems (ADAS). During closing arguments on Tuesday, an attorney for the plaintiffs pointed to an analysis Tesla conducted two years before the accident, claiming that the automaker knowingly sold the Model 3 with a safety issue related to its steering.
The trial began in California late last month after a 2019 incident in which 37-year-old Micah Lee veered off a highway outside Los Angeles at 65 miles per hour, suddenly striking a palm tree before the vehicle burst into flames. According to court documents, the crash killed Lee and injured both of his passengers, one of whom was an 8-year-old boy.
Lee’s passengers and estate initiated a civil lawsuit against Tesla, alleging that the company knew that Autopilot and its other safety systems were defective when it sold the Model 3.
Tesla has denied any liability in the accident, claiming that Lee had consumed alcohol before getting behind the wheel and saying it could not detect if Autopilot was engaged at the time of the crash.
This and other trials come as regulatory requirements for ADAS suites are just emerging, and the cases are expected to help navigate future court cases related to accidents with the systems.
According to Reuters, the attorney for the plaintiffs, Jonathan Michaels, showed the jury an internal safety analysis from Tesla in 2017 during closing arguments, in which employees identified “incorrect steering command” as a potential safety issue. Michaels said the issue involved an “excessive” steering wheel angle, arguing that Tesla was aware of related safety problems before selling the Model 3.
“They predicted this was going to happen. They knew about it. They named it,” Michaels said.
Michaels also said that Tesla created a specific protocol to deal with affected customers and that the company instructed workers to avoid accepting liability for the issue. Michaels also echoed prior arguments, saying that Tesla knew it was releasing Autopilot in an experimental state, though it needed to do so to boost market share.
“They had no regard for the loss of life,” Michaels added.
Michael Carey, Tesla’s attorney, said that the 2017 analysis wasn’t meant to identify the defect but instead was meant to help avoid any potential safety issues that could theoretically occur. Carey also said that Tesla developed a system to prevent Autopilot from making the same turn that had caused the crash.
Carey said that the subsequent development of the safety system “is a brick wall standing in the way of plaintiffs’ claim,” adding that there haven’t been any other cases where a Tesla has maneuvered the way that Lee’s did.
Instead, Carey argued to the jury that the crash’s simplest explanation was human error, asking jurors to avoid awarding damages on behalf of the severe injuries encountered by the victims.
“Empathy is a real thing, we’re not saying its not,” Carey argued. “But it does not make cars defective.”
Earlier this month, a federal judge in California ruled in Tesla’s favor in a similar case looking at whether the automaker misled consumers about its Autopilot system’s capabilities. In that case, which had the chance to become a class-action lawsuit, the judge ruled that most of the involved plaintiffs had signed an arbitration clause when purchasing the vehicle, requiring the claims to be settled outside of court.
The cases are expected to set precedents in court for future trials involving Tesla’s Autopilot and Full Self-Driving (FSD) beta systems and the degree of the automaker’s responsibility in accidents related to their engagement. Tesla is also facing additional information requests from the U.S. Department of Justice related to its Autopilot and FSD beta.
Tesla has received more requests regarding Autopilot and FSD from DOJ
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.
This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.
The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.
Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:
Tesla has just expanded its Robotaxi service area in Austin, Texas for the first time in 10 months.
The new service area is roughly 9% larger than the old one, and is about 288 square miles in total. pic.twitter.com/i4oBM1KfWS
— Sawyer Merritt (@SawyerMerritt) August 31, 2026
Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.
After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.
The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.
Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.
The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.
Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.
Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.
You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:
This is cool, you can now give Grok a ton of commands at once in your Tesla and it’ll do them all together.
The commands I gave:
• Fold mirrors
• Turn on wipers to fastest setting
• Change temp to 65°
• Open self-driving app
• Open gloveboxComes with Tesla’s 2026 Summer… pic.twitter.com/drZxoHrknv
— Sawyer Merritt (@SawyerMerritt) August 26, 2026
Here’s another example I used in my Model Y:
🚨 Using Grok to control the cabin temperature and turn on headlights in 2026 Model Y on FSD v14.3.8 and 2026.26.6.5 pic.twitter.com/7clgQkGABk
— TESLARATI (@Teslarati) August 27, 2026
Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.
It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.
Tesla Summer Update begins rolling out: a look at the new features
It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.
Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.
Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.
Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.
Tesla Cybercab uses a unique strategy for picking up the right rider
Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”
Coming soon
— Elon Musk (@elonmusk) August 31, 2026
Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.
Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.
Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.
In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.
Tesla to utilize micro maps for pothole-detection in future update
Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.
That truly begins this week with the launch of Cybercab on Thursday.
Tesla expands driverless Robotaxi geofence in Austin
Elon Musk’s Grok can basically control anything in your Tesla now
