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SpaceX scraps Florida Starship Mk2 prototype

SpaceX has begun scrapping one of the original Starship prototypes and the only ship built in Florida. (John Winkopp - Seamore Holdings)

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SpaceX has scrapped the lone Starship prototype built in Florida in 2019, surprising very few.

Beginning a few months after work began on Starship Mk1 at SpaceX’s South Texas production facilities, a separate team in Cocoa, Florida was tasked with building a similar Starship Mk2 prototype. Not much is known about Mk2 relative to its much more publicized sibling but unofficial photos and videos taken over the course of 2019 suggested that SpaceX had effectively completed most of Starship Mk2 by the end of last year. However, built dozens of miles and several waterways away from a practical test facility, actually testing a Starship prototype assembled at SpaceX’s Cocoa facilities was always going to be an uphill battle.

To warrant the cost and effort that would be required to transport something as large as a vertical Starship from Cocoa, Florida to Cape Canaveral, Mk2 would have to be able offer something invaluable during testing. Now eight months after Starship Mk1 was destroyed during one of its first real tests, that was sadly not the case and SpaceX has chosen the simplest route forward – scrapping Mk2 where it sits.

Starship Mk2 is pictured in September 2019. (Greg Scott)

In November 2019, SpaceX installed Starship Mk1 on a test stand in Boca Chica, Texas and began a series of tests. The ship passed an initial ambient temperature pressure test on the 18th but failed spectacularly during its first cryogenic proof test, said by SpaceX to have “pressurize[d] systems to the max.” Excluding Starhopper, Starship Mk1 was about as rough of a prototype as SpaceX could have feasibly built and the fact that it survived any length of time under cryogenic loads and pressures was fairly impressive.

Welded together almost entirely out in elements on the South Texas Gulf coast, the total success of Starship Mk1 (and its similar Mk2 sibling) would have flown in the face of almost every single tenet of modern aerospace production. As noted in a Teslarati article describing the Starship’s demise, the Mk1 production apparatus left plenty of room for improvement.

“[Videos of the failure implicated] the weld connecting the LOX dome to the cylindrical body of Starship’s LOX tank, pointing to a bad weld joint as the likeliest source of the failure. Although that hardware failure is unfortunate, Mk1’s loss will hopefully guide improvements in Starship’s design and manufacturing procedures.”

Teslarati.com — November 20th, 2019

That is precisely what SpaceX did – and was likely already doing – in response to Mk1’s failure. Just two months later, SpaceX successfully tested a steel Starship tank built in upgraded facilities with upgraded methods and reached pressures of 7.1 bar (~103 psi) before failing – likely a 50% improvement or better relative to Mk1. A second tank completed weeks later in late January 2020 reached 7.5 bar, sprung a leak, was repaired, and ultimately soared to 8.5 bar (~125 psi) before failing. Per CEO Elon Musk, that would technically be enough for a Starship to launch humans into orbit with an industry-standard ~40% safety factor.

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Finally, SpaceX recently proved that a full-scale, two-tank Starship prototype built with the same methods and facilities as those test tanks could achieve the same results, completing a ~7.5 bar (~110 psi) cryogenic proof test with Starship SN4 on May 10th.

Long story short, the methods SpaceX used to build Starship Mk1 and Mk2 were already proven redundant more than six months ago and buried even deeper in May 2020. Aside from serving as a museum piece, Starship Mk2’s fate was sealed – the only real question was how and when it would be scrapped. For now, SpaceX’s Starship program will be almost exclusively stationed in South Texas, where it appears to be in good hands. Starship SN5 is currently expected to attempt its first wet dress rehearsal (WDR) and static fire tests no earlier than July 17th (today) at 8 am CDT (13:00 UTC).

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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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