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SpaceX stacks Starship nose section for the first time in months
SpaceX has stacked a Starship nosecone section to its full height for the first time in almost a year, featuring an upgraded design that could soon support an ambitious series of flight tests.
Back in August 2019, SpaceX first began stacking the nose section of Starship Mk1 – the first full-scale prototype of any kind. It became clear a few months later that Starship Mk1 was more of a rough proof of concept than a full-fidelity test article, but it still became the first (and only, so far) Starship to reach its full ~50m (~160 ft) height. After serving as a centerpiece during CEO Elon Musk’s September 2019 Starship presentation, SpaceX removed the nose and attempted to test the Mk1 tank section itself, ultimately destroying the ship.
Now eight months distant from Mk1’s demise, SpaceX’s Starship R&D program has entered the prototype mass-production phase. Since January 2020, SpaceX has built five upgraded Starship tank sections (and tested three to destruction), built and tested four stout test tanks, and completed at least 4-5 new nosecone prototypes. For the first time since nosecone production began several months ago, one of the noses has finally been stacked to its full height atop five steel rings.
At the moment, SpaceX is hard at work preparing Starship SN5 for its first wet dress rehearsals (WDRs) with methane and oxygen propellant and either one or several Raptor engine static fire tests. If successful, SpaceX will quickly move to flight test preparations, readying SN5 for a nominal ~150m (~500 ft) hop, though the company is technically no longer restricted to that ceiling. For such a low-altitude test, aerodynamic features like a nosecone or flaps serve no functional purpose, meaning that SN5 is unlikely to ever receive those additions.
Roughly two miles west of the coastal launch and test site SN5 is stationed at, SpaceX has already more or less finished Starship SN6, although the newest ship’s fate is unclear. Pictured above on July 10th, the task of stacking an even newer ship (likely SN8) may already be underway. Last month, SpaceX tested a new ‘test tank’ built out of a different steel alloy said by CEO Elon Musk to be theoretically superior. Two cryogenic pressure tests seemingly confirmed that suspicion, proving that 304L stainless steel fails more gracefully than 301 while still offering similar strength at the pressures Starships operate at. The SN7 test tank was built and tested around the same time as SpaceX was finishing up SN6, implying that the ship was almost certainly built out of 301 steel.
If 304L really is the way forward for future Starship prototypes, the next step will be building an entire ship out of the steel alloy and performing a full cryogenic proof test and wet dress rehearsal. Given that SN5 and SN6 are likely identical (or nearly so), SN6 may have been made redundant before the ship even left the factory floor.
This is all to say that it’s a bit of a mystery where the first upgraded nosecone will find itself in the coming weeks. Like SN6 or SN7, it could either be redundant on arrival, built as practice, or both. It could also be the first nosecone installed on a flightworthy Starship prototype. It’s unlikely but not impossible that SN5 survives its static fires and first hops and is modified to support three Raptors and aerodynamic control surfaces, while SN8 and SN9 are more probable candidates for the first high-altitude, high-velocity test flight(s). SpaceX has at least 3-5 more Starship nosecones strewn about its Boca Chica factory, though, so odds are good that the first new nose section to reach full height won’t be the first to take flight.
For now, Starship SN5 (sans nose) is scheduled to attempt its first wet dress rehearsal (WDR) no earlier than July 16th. If successful, a static fire could follow a few days after that and a hop test another few days later.
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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
