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Tesla Model S Plaid sets new record at the Nürburgring in final run for the year

A Tesla Model S prototype on the Nurburgring. (Photo: Auto Motor Uund Sport)

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Recent reports from German motoring publication Auto Motor und Sport have revealed that the blue Tesla Model S Plaid prototype has broken the company’s previous unofficial record on the Nurburgring, with the vehicle completing a lap around the track in 7:13. The Model S was able to accomplish this feat not just once, but twice. 

What is even more impressive was that Tesla accomplished this feat with a unit that previously completed a 7:40 lap around the Nurburgring in September. During that time, Tesla was able to finish a reported hand-stopped lap of 7:23, though it used its red Model S Plaid prototype, a vehicle that unfortunately crashed during a hot lap in recent weeks. Fortunately, the red Model S’ driver, Andreas Simonsen, was unharmed during the accident.  

As noted by the publication, the blue Model S Plaid prototype was driven around the Nurburgring by Nordschleife expert and racing driver Thomas Mutsch. For its record-setting runs, the Model S was equipped with its large rear diffuser and a small rear spoiler. A large spoiler spotted by photographers previously had reportedly been removed by Tesla after a short session around the track. The vehicle was equipped with Michelin Pilot Sport Cup 2 Cup R sports tires for its record-setting runs as well. 

Blue Tesla Model S with Plaid Powertrain returns to the Nurburgring. (Credit: Teslarati)

That being said, the blue Plaid Tesla Model S’ two 7:13 records are still unofficial lap times for the vehicle. Thus, for now at least, the electric car maker simply has the knowledge that its upgraded Tesla Model S is capable of beating the already-stellar 7:23 record it set for itself during its first excursion into the track over a month ago. Nevertheless, the blue Plaid Model S’ recent unofficial record is still 8 seconds shy of the 7:05 estimate that Tesla announced on Twitter when it left the Nurburgring for the first time in late September. 

Auto Motor und Sport noted that the Tesla team has departed the iconic German racetrack for now, with the team likely not coming back this year. The two vehicles used for the test — the red Model S Plaid that crashed, as well as the blue Plaid unit that set the 7:13 record — are reportedly being sent home to the United States. With this in mind, it appears that Tesla might be preparing to return to the Nurburgring with new Model S Plaid units next year, perhaps finally ready to set its own official lap record. 

A blue Tesla Model S Plaid unit with new aeros attacks the Nurburgring. (Photo: Stefan Baldauf/Auto Motor Uund Sport)

What is particularly interesting is that Tesla’s new unofficial lap time around the Nurburgring is already 29 seconds faster than the Porsche Taycan Turbo prototype that set an unofficial 7:42 record of its own around the German racetrack prior to the all-electric sports car’s official release. Considering that the blue Model S Plaid reportedly left the track last September with a 7:40 lap, the vehicle’s current 7:13 time is quite a notable improvement. 

After all, it appears that Tesla was testing two Plaid Model S variants in the Nurburgring this time around. Based on the initial track times of the two prototypes, it appears that Tesla was actually benchmarking the red and blue Model S against each other. And between the two vehicles, it almost seemed like the blue Plaid Model S was the more conservatively-specced vehicle. Either way, Tesla’s return next year would likely be incredibly exciting, as the company would likely come back with a vehicle that will be very close to the actual production Plaid Model S that’s set for release next year. 

At 7:13, Tesla’s Model S Plaid prototype has already exceeded the lap time of the 2018 Jaguar XE SV Project 8, which completed the Nurburgring in a blazing-fast 7:21. That’s the fastest four-door vehicle around the Nurburgring to date, not counting the prototype monster that Porsche brought over to the track recently, the Panamera “Lion” project, which reportedly completed a 7:11 lap. Quite interestingly, it appears that no laps have been done by Porsche with the Taycan Turbo S as of yet.

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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.

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.

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.

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.

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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