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SpaceX Starship booster heads to launch pad for the fifth time
For the fifth time in five months, SpaceX has transported its most advanced Starship booster prototype from the Starbase factory to the launch pad, setting the stage for another round of testing.
Super Heavy Booster 7 (B7) returned to the factory for the fourth time on August 12th after becoming the first prototype of any kind to perform a static fire engine test while installed on SpaceX’s orbital Starship launch mount. In the days prior, the booster completed two back-to-back static fire tests with one of the 20 Raptor engines installed on the rocket, both of which apparently gave SpaceX enough confidence to prepare for the next phase of testing.
That relatively cautious progress only came after SpaceX attempted to test all 33 of the prototype’s Raptors at once during its first engine test. Whether it was the fault of overzealous managers or executives or a genuine oversight is not clear, but the combined behavior of Super Heavy and the orbital launch pad was not properly characterized before testing began. As a result, the cloud of flammable gas the rocket released during its attempted 33-engine ‘spin-prime’ test found an ignition source and violently exploded on July 11th, causing damage throughout Booster 7’s aft engine section that required several weeks of repairs between July 15th and August 6th.
When the Super Heavy rolled to the pad for the fourth time on August 6th, it was missing all 13 center Raptors, leaving only the outer ring of 20 Raptor Boost engines partially installed for the tests that followed. Thankfully, things went much better on the second try and Booster 7 completed two spin-prime tests with a single Raptor engine, followed by two successful static fire tests on August 9th and 11th. The latter test was the longest Starbase static fire ever (by a factor of ~3) and lasted about 20 seconds, allowing SpaceX to test Booster 7’s autogenous pressurization. That system pressurizes Super Heavy’s tanks by turning small quantities of cryogenic liquid propellant into gas, ensuring that its tanks remain stable as they’re rapidly drained of thousands of tons of propellant.
On August 12th, Booster 7 returned to the factory, where workers installed the rocket’s 13 center engines for the second time. Booster 7 headed back to the orbital launch site (OLS) on August 23rd and the pad’s robotic launch tower used a pair of arms to lift the rocket off its transport stand and place it on the launch mount by the end of the day.
In addition to readying Booster 7 for its next phase of static fire testing, teams of SpaceX workers took advantage of the unplanned lull in testing to modify the orbital launch mount. It’s impossible to know what exactly was done without official confirmation, but it’s likely that SpaceX was attempting to quickly fix the shortcoming(s) that allowed the July 11th explosion to happen. Without a fix, it’s unlikely that SpaceX would want to proceed with plans to ignite large numbers of Raptor engines simultaneously – a series of tests that must be completed before Starship can safely attempt its first orbital launch.
It’s unclear what exactly that fix entails, but it could involve a system to constantly flood the engine section with fire-stopping nitrogen gas or potentially take the shape of a system of vents that will connect to every Raptor engine and remove methane gas before it can turn into flammable clouds.
It’s possible that Booster 7 has returned to the launch pad solely for fit checks or some other basic proof-of-concept testing. It’s also possible that the returns signifies that SpaceX is confident in its quick launch mount fix and ready to restart static fire testing.
As Booster 7 prepares for that next phase of testing, SpaceX may also be ready to restart static fire testing with Starship S24, which paused shortly before Super Heavy returned to the factory. SpaceX appears to be modifying the suborbital launch mount and test stand Ship 24 is installed on, which could explain the lack of ship testing since August 11th. SpaceX has 12-hour test windows tentatively scheduled on August 24th and 25th, either of which could be used to test either or both prototypes.
If all goes to plan, Ship 24 and Booster 7 will eventually complete all the qualification testing SpaceX can throw at them and be ready to support Starship’s first orbital launch attempt sometime before the end of 2022.
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
