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Tesla Cybertruck’s updated origami-style windshield and dash teased in patent

(Credit: Albert C. Lee/Twitter)

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Elon Musk has mentioned that the Tesla Cybertruck’s production version would be extremely similar to the all-electric pickup truck’s controversial prototype from 2019. While this may largely be the case, Musk has hinted at some new features that would be included in the production Cybertruck. Apart from updated door handles and rear-wheel steering capabilities, for example, Musk also hinted at “other great things” coming for the vehicle. 

A recently published patent application from Tesla has now hinted at a couple more updates that may be coming to the Cybertruck, at least on the design front. The patent, titled “Automotive Glass Structure Having Feature Lines and Related Method of Manufacture,” describes a way to form extremely durable glass structures with aggressive curves and folds. Using such a technique, Tesla stated that it could create components like windshields with very aggressive feature lines that would otherwise not be possible with conventional glass-forming methods. 

Credit: Patentscope

The patent application’s illustrations showcased how the system would be used in a vehicle such as the Cybertruck. One of the images in the patent featured the far left and right side of the Cybertruck’s windshield having aggressive feature lines that make the all-electric pickup truck even more futuristic and CGI-esque. This is quite different from the windshield used on the prototype Cybertruck, which seemed completely flat. 

“The first glass structure 602A may represent a windshield positioned on the vehicle and formed according to the techniques described herein. In some embodiments, the first glass structure 602A may be multi-layer… Thus, the first glass structure 602 A may have feature lines (e.g., facets) 606A-606B. As an example, these feature lines 600A-600B may have radii of curvatures of between 2 mm and 5 cm. In some embodiments, the feature lines 600A-600B may represent an angle of between 45-60 degrees, or 50-75 degrees, and so on.”

Tesla’s unique glass patent application is not limited to the exterior of vehicles. Still using the Cybertruck as an example, Tesla highlighted that its glass-forming patent could also be used to create the all-electric pickup truck’s dashboard, which was made of recycled paper composite materials in the prototype. Tesla’s patent application showed that the Cybertruck’s dashboard could be made of glass instead, giving the vehicle an aesthetically pleasing interior accent. A film layer used with the folded glass would provide the dashboard with additional durability, ensuring that the component does not shatter during impacts. 

Credit: Patentscope

“Figure 7 illustrates an example of an interior 700 of a vehicle, such as the vehicle 600 described above. The interior 700 includes a glass dash 702 with a feature line 704. As described above, the feature line 704 may have a radius of curvature of between 2mm and 5cm. In some embodiments, the feature line 704 may represent an angle of between 45-60 degrees, or 50-75 degrees, and so on.

“The glass dash 702 may be formed according to the techniques described above. For example, the glass dash 702 may be formed as described in Figure 2. Thus, a single layer of glass may be used and locally heated to form the feature line 704. In some embodiments, a film or layer may be positioned below the glass dash 702. For example, the film or layer may be used to present a visual design and/or may be used to ensure the glass does not shatter (e.g., a safety or security film).”

The Cybertruck’s design has already been finalized, and it remains to be seen if the folded glass components outlined in the patent application would actually make it to the all-electric pickup truck’s production version. Tesla watchers would likely not need to wait for long, however, as the company has noted that the Cybertruck should enter its beta stage by the end of the year, with production starting at Giga Texas next year. 

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Tesla’s new patent application could be accessed below. 

WO2021158808-PAMPH-20210812-5162 by Simon Alvarez on Scribd

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

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The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

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Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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