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Tesla’s plan for added Cybercab safety measure revealed

Credit: Teslarati

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Tesla will reportedly use teleoperations as an extra safety measure when it first deploys its driverless taxi and ride-hailing service, according to an investor’s note from one firm this morning.

On Tuesday, following a meeting with Tesla’s Investor Relations Head Travis Axelrod, Deutsche Bank wrote in a note that the company expects to need teleoperations, at least at first, as an additional safety measure to back the Cybercab’s camera-based self-driving system. The Cybercab, which was unveiled during a Southern California event in October, doesn’t include a steering wheel or pedals, and is based on the company’s Supervised Full Self-Driving (FSD) software, utilizing only cameras and real-time driving scenarios to train its AI neural network to make driving decisions.

“Tesla believes it would be reasonable to assume some type of teleoperator would be needed at least initially for safety/redundancy purposes,” the firm wrote in a Monday note (via Reuters).

Tesla has not responded to Teslarati’s request to confirm the claim or provide additional details.

READ MORE ABOUT THE CYBERCAB: Tesla’s Elon Musk reveals why Cybercab, Cybertruck don’t equip company logos

Tesla Cybercab: fewer parts, autonomy from driving to charging

Teslarati was one of the first few to take a ride in the Cybercab at Tesla’s October 10 “We, Robot” event, which took place at a Warner Brothers studio in Burbank, California. You can get a close-up look at the two-seat Cybercab in our coverage of the event below.

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Beyond touting the scalability of its FSD software, due to its utilization of a neural network model unlike other companies that are subject to geofencing and pre-mapping, Tesla has regularly highlighted the lower-cost cameras its products use as a major savings benefit compared to companies that use LiDAR and multiple redundant systems at once. While redundancy may be important to Tesla at first with the use of teleoperation, the company is looking long-term at a non-redundant camera-based system used in its other vehicles, which has already been gathering training data from real drivers over the years.

Earlier this month, Tesla’s Principal Mechanical Design Engineer Eric Earley said that the Cybercab has roughly half the parts of a Model 3, highlighting the massive cost-savings the company expects to gain from production of the autonomous vehicle.

“Two seats unlocks a lot of opportunity aerodynamically. It also means we cut the part count of Cybercab down by a substantial margin. We’re gonna be delivering a car that has roughly half the parts of Model 3 today,” Earley said. “It also means when you need to clean the car as a rideshare asset, you really don’t have to worry about navigating multiple doors, multiple seats. You really just have what looks like a bench seat, easy to clean automatically.”

Eventually, Tesla aims to produce two million Cybercabs per year, and in addition to being fully driverless, the company has also shared plans for a wireless charging system, and an autonomous cleaning robot, both of which are expected to allow the vehicle to be completely independent of human input, even beyond driving.

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Tesla spotted testing Cybercab in Giga Texas premises

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla expands driverless Robotaxi geofence in Austin

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Credit: @JoeTegtmeyer/X

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 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.

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Elon Musk’s Grok can basically control anything in your Tesla now

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Credit: Tesla

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:

Here’s another example I used in my Model Y:

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.

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Tesla is fixing Full Self-Driving’s pothole problem

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Tesla Model Y L in a field
Credit: Tesla

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.”

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.

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