SpaceX has returned an upgraded Super Heavy booster to the factory after an unexpected explosion and fireball caused “minor” damage during testing.
CEO Elon Musk first revealed that the company would need to remove the rocket from Starbase’s orbital launch pad for inspections and repairs on July 13th, about a day and a half after the anomaly. On July 11th, during what may have been a partial wet dress rehearsal (WDR), a dispersed cloud of methane gas found an accidental ignition source and exploded with a force that at least one observer estimated was equivalent to several pounds of TNT. Several nail-biting hours of uncertainty followed, during which SpaceX attempted to empty Super Heavy Booster 7 of its propellant (and explosive potential) and regain control of the situation, while simultaneously trying to avoid stoking a fire that started at the pad.
With a heaping serving of luck, Booster 7 made it through the event (mostly) intact. Now SpaceX must take a close appraisal of the rocket and situation and decide how to proceed.
Musk, as always, has put his optimistic face forward on Twitter and in a direct response to Reuters. According to an email sent shortly after an early in-person post-anomaly inspection, Musk stated that Booster 7 could return “to the launch stand probably next week” – implying that any damage suffered was extremely minor. By the time Super Heavy was removed from the launch mount the next day (July 14th), however, it became clear that the situation wasn’t quite as optimal.
Instead, Booster 7’s aft engine section was clearly damaged, with some of the dozens of thermal protection panels enclosing 33 Raptor engines apparently torn off or knocked askew by the July 11th blast. Given the tight fit and relatively heavy-duty nature of some of those panels, deformation could easily damage some of the more sensitive plumbing and components on Raptor engines. The day prior, teams spent hours tearing out unexpectedly fragile components of Booster 7’s hidden aft heat shielding and even removed and replaced one of its Raptors in-situ.
More likely than not, all Raptor engines with minor damage can be repaired and reused on a future booster. The explosion may also give SpaceX invaluable data that can be used to improve the durability and performance of Raptor and Super Heavy’s heat shield. Nonetheless, a methodical inspection of Booster 7’s aft end could easily take a week or two. If more chronic damage is discovered or the whole aft heat shield or a large number of Raptors need to be removed and replaced, the hiatus could grow to a month or more.
Following Booster 7’s July 15th return to the Starbase factory, SpaceX appears to have begun removing more Raptor engines on July 17th, kicking off a phase that will hopefully be heavy on encouraging inspection results and light on substantial repairs. If it turns out that the Super Heavy prototype is mostly in great shape after such a violent anomaly, it would bode well for the rocket’s durability during future ground and flight testing. If it did not fare well, SpaceX may need to seriously reconsider whether Booster 7 is fit to support Starship’s orbital launch debut or even proceed into static fire testing.
Either way, SpaceX recently finished stacking Super Heavy Booster 8. If it’s made a priority, the newest prototype could be made ready to take over where Booster 7 left off within a few weeks. Alternatively, it could even join a repaired Booster 7 at the launch pad for basic proof testing while its predecessor attempts to restart its first static fire campaign. Simultaneously, Starship S24 is almost ready to begin its own static fire test campaign, guaranteeing an eventful and hardware-rich period at Starbase after several months of relative inaction.
SpaceX has 12-hour road closures likely meant for Ship 24 testing scheduled daily from Monday, July 18th to Thursday, July 21st.
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
