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SpaceX scraps first Starship prototype to make way for new and improved rockets
A bit less than a month after SpaceX’s first full-scale Starship prototype was partially destroyed during testing, the damaged rocket has been almost completely scrapped to make way for new and improved Starships.
On November 20th, SpaceX effectively tested the Starship Mk1 – the first full-scale prototype – to destruction, pressurizing the rocket’s tank section (lower half) until it quite literally popped its top. The pressure wave that failure created damaged almost every internal component of the massive vehicle, all but guaranteeing that SpaceX would have to scrap the vehicle and move on to new prototypes.
Those future prototypes will take advantage of the many, many lessons learned from Starhopper’s two test flights and several additional grounded tests, as well as the many learning experiences presented through Starship Mk1’s pathfinder manufacturing, assembly, and test campaign. As is SpaceX’s signature, the company is choosing to learn by building actual hardware and making the inevitable mistakes that come hand in hand with such an eccentric and ambitious program.
Above all else, SpaceX is trying to redefine the minimum infrastructure needed to build high-performance launch vehicles at a scale comparable to or even larger than NASA’s Saturn V, the largest rocket ever successfully launched. Modern rockets like Falcon 9 and Atlas V are built in relatively clean and environmentally-controlled environments and Saturn I and V – while quite a bit less sterile – were at least built inside large hangar-like facilities.
With Starship, SpaceX instead wants to build rockets even larger than Saturn V out in the elements and with a far more common (and thus affordable) workforce, (theoretically) made possible in large part thanks to its extensive use of stainless steel. Case in point, Starhopper – a low-fidelity Starship test bed – was quite literally welded together on the South Texas coast by welders far more familiar with building water towers. While not without its teething pains, Starhopper proved to be incredibly sturdy and resistant to anomalous behavior and successfully performed two separate flight tests in July and August 2019.
Three months after Starhopper’s second and final hop test, SpaceX’s Starship Mk1 tank section – the lower half of the rocket – was moved to the launch site and began a series of tanking tests. The first few tests were completed successfully and focused on searching for leaks with a neutral cryogenic liquid (likely liquid nitrogen). After the majority of those leaks were sealed, SpaceX moved into liquid oxygen load testing a few days later. For unconfirmed reasons, it turned out that that first liquid oxygen pressure test would also be Starship Mk1’s last.
On November 20th, SpaceX pressurized Starship Mk1 to its limits, with almost all of the visible creases and wrinkles in its steel surface visibly smoothing out as the supercool liquid oxygen caused frost to form on the exterior. Ultimately, SpaceX pushed the vehicle beyond its limits and its uppermost tank dome quite literally popped off of Starship’s tank section, whether the overpressure event was intentional or unexpected. The force of that overpressure event essentially sent a shockwave through Starship, crushing and warping its two remaining tank domes and transfer tubes like an aluminum soda can.
In simpler terms, very few parts of Starship Mk1 escaped unharmed, all but guaranteeing that it would not be worth the effort to repair it. Instead, SpaceX has almost entirely scrapped the prototype over a period of two weeks. According to an official statement released shortly after Mk1’s failure, SpaceX will attempt to recover and reuse as much of Mk1 as it can and those few salvageable parts will be added to an entirely new prototype, deemed Starship Mk3.
Although it’s disappointing that Starship Mk1 was unable to perform any kind of Raptor engine testing, let alone flight tests, it’s safe to say that the pathfinder prototype has been well worth the time and effort it took to build. Regardless of flight or engine testing, a ton of Mk1’s value lies in its utility as a hands-on, physical testbed for SpaceX employees to perform experiments and learn how to build steel rockets – and build them outside in less than friendly weather conditions.
SpaceX is in the midst of rapidly expanding its presence in Boca Chica, Texas, including a new launch control center, an expanded landing and launch pad, new production facilities, and more. The company has also just begun churning out numerous monolithic (single-weld) steel rings that will likely become part of Starship Mk3 in the near future. It will likely be several months before that next-generation prototype is as close to completion as Starship Mk1 was, but it should be well worth the wait and well worth its predecessor’s sacrifice.
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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.
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.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
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.
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.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
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.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
