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SpaceX Starship Mk1’s most important tests yet could begin just hours from now
SpaceX’s South Texas Starship Mk1 prototype is on the verge of kicking off a critical period of ground tests, ranging from tank pressurization and propellant loading to the rocket’s first triple-Raptor engine static fire. The campaign could begin soon – perhaps as soon as later today, in fact.
Over the last two weeks, SpaceX’s South Texas team has faced bad winter weather, among the many other challenges associated with building giant rockets almost entirely out in the elements. Nevertheless, company technicians and engineers continue to check off task after task along the path towards Starship Mk1 completion, the next-generation launch vehicle’s first full-scale, high-fidelity prototype.
In the month of November alone, SpaceX has (re)installed Starship Mk1’s nose and aft section flaps (this time outfitted with heavy-duty actuator mechanisms), nearly completed the process of routing and integrating the vehicle’s external liquid and gas plumbing, and more or less finished a barebones launch mount. Starship Mk1 was snugly attached atop that launch mount around the start of the month and workers have continuously swarmed around the rocket and pad in scissor and boom lifts and ever since, closing out umbilical connections, insulating cryogenic propellant pipes, and much, much more.
Within the last week or so, SpaceX has apparently also begun the process of expanding its presence around its existing Boca Chica pad facilities, where Starship Mk1 is preparing for testing. The purpose of that expansion is unclear, but the first phase – extending the existing square landing pad – is essentially complete and will presumably give Starship Mk1 a better chance of successfully landing in the event that its first skydiver-style landing attempt is not as accurate as predicted.
Based on official renders/mockups in SpaceX’s updated 2019 launch animation, it could also eventually become the foundation of a much more permanent integration and processing hangar, much like the hangars that SpaceX uses to integrate Falcon 9 and Heavy at its Florida and California launch sites. It could even be the foundation for a dramatically larger Super Heavy-class launch mount and water-cooled flame deflector like the one shown in that same video. For now, Starship Mk1 will begin testing (and presumably first flights) off of a minimal steel mount that was built up from almost nothing in barely two months.
No nose, no problem?
As previously discussed on Teslarati, the testing Starship Mk1 is preparing for could take a number of routes to completion, but all of those routes will likely involve several main events. First, SpaceX may or may not decide to do a preliminary tank proof test with neutral (i.e. non-explosive) liquid nitrogen, which would verify the structural integrity and determine if there are leaks in what is essentially a building-sized pressure vessel.
SpaceX may instead skip that – it would require a vast and unwieldy quantity of liquid nitrogen – and move directly into the first cryogenic propellant loading test, in which SpaceX would attempt to fully fill Starship’s tanks with liquid oxygen and liquid methane. Assuming Starship Mk1 is 1:1 scale, that could involve as much as 1200 metric tons (2,650,000 lbs) of propellant, more than twice as much fuel as a Falcon 9.
In other words, Starship’s inaugural propellant loading attempt will be almost at the same scale as Falcon Heavy’s, which took several attempts, broke some hardware, and was a major learning experience and challenge on its own. A structural failure or explosion could be absolutely catastrophic, as those ~1200 tons of fuel and oxidizer could act as a massive bomb under the right conditions.
According to road closure notices published by Cameron County, SpaceX is expected to begin operations that require road closures as early as November 18th from noon to 8 pm CST, with backups on the 19th and 20th. Another window opens on the 25th at the same time, with backups on the 26th and 27th. To be clear, there is no official word that SpaceX actually means to start cryogenic ground testing with Starship Mk1 today, but it’s not necessarily out of the question.
Whenever SpaceX does decide to start Starship Mk1 ground testing, it will be an immensely important milestone, signifying the start of the period that will essentially determine whether SpaceX’s deeply unusual manufacturing methods can build a structurally-sound, high-performance rocket prototype for pennies on the dollar. In simple terms, if Starship Mk1 behaves as planned, commercial spaceflight may never be the same.
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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
