News
SpaceX rolls first Starship booster hardware to launch site
While destined to remain on the ground, SpaceX has rolled Starship booster hardware to its Boca Chica, Texas launch pad for the first time.
Back in March, SpaceX completed the process of stacking Super Heavy booster number 1 (BN1), creating what amounted to the largest rocket booster ever assembled. Plans and designs ultimately changed during that several-month process, leading SpaceX to write off the first completed Starship booster structure as a “pathfinder” and scrap it before it could complete a single test. As a result, BN1 never made it to SpaceX’s nearby launch and test facilities and was unceremoniously cut into pieces days later.
Ten weeks after that development, SpaceX is well into the process of stacking its first flightworthy Super Heavy booster (BN2 or BN3) and has officially delivered the first real booster hardware to the launch site for crucial qualification testing.
While only a ‘test tank,’ BN2.1’s arrival at SpaceX’s South Texas launch facilities is an undeniable sign that the company has finally settled on some sort of firm design for Starship’s first-stage booster – at least enough for a custom test article to be worth the time, effort, and money to build and test. BN2.1 is the eighth custom test tank built by SpaceX in the last ~18 months but it’s the first such test article to center around hardware specific to Super Heavy.
Technically, thanks to the fact that Starship and Super Heavy are built out of the exact same steel rings, baffles, and stringers with almost identical production hardware, all past test tanks – and even full Starships – simultaneously mature large portions of Starship’s booster.
Super Heavy requires several unique parts and sections, though. Unlike Starship, which is designed to ultimately have six Raptor engines installed, the ship’s booster will have anywhere from 29 to 32 Raptors and have to withstand almost five times the mechanical stress. That necessitates a drastically different thrust structure for Super Heavy, as well as all additional structural elements to support the 20 Raptor engines – compared to three on Starship – that will mount to the interior wall of its skirt rings.
Beyond Super Heavy’s thrust puck, the booster also requires a much larger transfer tube to feed far more liquid methane through its oxygen tank, a custom dome to connect to that transfer tube, and a custom forward dome and ring section to support four vast grid fins.
BN2.1 is never going to (intentionally) fly and is just a single test tank, which rules out installing actual engines. Now routine, SpaceX’s solution to that challenge of qualifying new hardware without risking catastrophic pad damage has involved building short ‘test tanks’ that are then filled with nonexplosive liquid nitrogen (LN2) and mechanically stressed with hydraulic rams instead of actual engines. Thus far, that process has seemingly been successful time and time again and has helped SpaceX qualify new steel alloys, thinner skin, new welding techniques, and new ‘thrust puck’ designs for Starship.
SpaceX has also tested early full-scale prototypes with the same hydraulic ram systems as a further hedge against quality assurance or fluke design issues that might not have been caught with test tanks. Whether or not BN2.1 is successful, it’s safe to assume that SpaceX will put its first flightworthy Super Heavy booster through a similar thrust puck stress test before attempting wet dress rehearsals or static fires.
Wasting no time at all, SpaceX has already scheduled road closures for what is likely BN2.1’s first round of tests no earlier than (NET) 12pm to 8pm CDT (17:00-03:00 UTC) on Monday, June 7th, with backup windows on the 8th and 9th. Stay tuned to find out if Super Heavy’s thrust puck survives its first nine-engine thrust puck shuck.
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
