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SpaceX’s Elon Musk hints at “notable” Starship changes, explains static fire anomaly
CEO Elon Musk has offered an explanation for SpaceX’s recent Starship static fire anomaly and says that an overview of the next-generation rocket development program will be delayed to account for some “notable” design changes.
Over the last several months, Musk has promised to do one of his (thus far) usual annual Starship updates, either in the form of a presentation in South Texas, an article published on SpaceX’s website, or both. Originally expected in September or October, the CEO’s tentative schedules have come and gone several times. Simultaneously, however, SpaceX has been preparing Starship serial number 8 (SN8) for a range of crucial tests and Starship program firsts, recently culminating in a successful cryogenic proof test, multiple wet dress rehearsals (WDRs), nosecone installation, the first triple-Raptor static fire test, engine tests using smaller ‘header’ tanks, and more.
Unfortunately for SN8, the most recent Raptor engine header static fire – drawing propellant from two small internal tanks mainly used for landing burns – did not go according to plan, resulting in some kind of high-temperature fire and severing Starship’s hydraulic systems. For SpaceX test controllers, that meant a total loss of control of most vehicle valves and pressurization systems, essentially putting one of Starship SN8’s header tanks through an unplanned pressure and failsafe test. In the days since, what exactly caused that unfortunate failure has been the subject of a great deal of discussion – discussion that can finally be put to rest with new information from Musk himself.
In a surprise, SpaceX had apparently decided to add a failsafe to Starship SN8’s new nose section, installing what is known as a burst disk – effectively an automatic single-use valve. Once the upper (liquid oxygen) header tank reached dangerous pressures, the force of that pressure broke the seal, allowing the rocket to vent excess pressure and avoid what would have otherwise been a potentially catastrophic explosion.
The cause of that near-miss, according to Elon Musk, was as simple as debris kicked up during the Starship SN8 Raptor engine static fire directly prior. Producing up to 200 metric tons (~450,000 lbf) of thrust and an exhaust stream traveling some 3.3 kilometers per second (2 mi/s, Mach ~10), Musk says that Raptor tore apart a special ceramic coating covering the concrete directly beneath Starship SN8. Likely accelerated to extreme velocities in milliseconds, shards of that coating reportedly “severed [an] avionics cable, causing [a] bad [Raptor engine shutdown].”
Prior to Musk’s comments, SpaceX technicians had already removed on of SN8’s three Raptors – SN32 – on November 14th and replaced it with Raptor SN42 on November 16th, effectively confirming that any damage suffered by Starship’s engine section was easily repairable. It’s unclear how exactly a single severed cable could result in a Raptor engine seemingly dripping molten metal but regardless of the cause, the fix appears to have been a quick one.
In response to the anomaly, Musk says that Starship avionics cables will ultimately be routed inside steel pipes to shield them from debris, while “water-cooled steel pipes” will be added to the launch pad to help limit the damage Raptors can cause. Perhaps as a partial result of SN8’s troubles at the launch pad, Musk says that his Starship blog post will have to wait, as SpaceX “[may be] making some notable changes” to the launch vehicle.
Prior to Starship SN8’s failed November 12th Raptor test, SpaceX was expected to attempt three consecutive static fires before clearing the rocket for an ambitious 15 km (9.5 mi) flight test. One of those static fires had already been completed on November 10th and it’s unclear if SpaceX’s SN8 test plan has remained unchanged or if the static fire counter has been effectively reset. Either way, barring more surprises, there’s still a definite possibility that Starship SN8 will be ready for its launch debut by the end of November and an even better chance that it will launch some time between now and 2021. Stay tuned for updates!
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
