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SpaceX Starship launch pad upgraded as Elon Musk reveals rocket production milestone
SpaceX has begun to upgrade its South Texas Starship launch pad in anticipation of the completion of the next full-scale rocket prototype, photos of which CEO Elon Musk revealed just hours ago.
Working in parallel with efforts to repair damage caused by Starship serial number 1’s (SN1) violent February 28th test failure, SpaceX has managed to build, complete, and test an entirely separate ‘test tank’ and complete fabrication of a second full-scale Starship in a handful of weeks. Flexing the growing capabilities of the impressive Boca Chica, Texas Starship factory SpaceX has sprung up in just three months, the company is working around the clock to build not just one – but several – Starship prototypes simultaneously.
A successful March 9th tank test designed to prove a new thrust structure design managed to do just that less than two weeks after the same faulty part brought about Starship SN1’s demise. In the two weeks since that its test completion, SpaceX has been busy welding, stacking, welding, and stacking several separate sections of the next Starship prototype, known as SN3. Potentially a matter of days away from structural completion, focus has recently shifted to the launch pad the ship will be tested at. In the last few days, SpaceX technicians have begun to install a bizarre, new structural element on the mount Starship SN3 will be secured on top of, hinting at the goals of the rocket’s first test campaign.
Squeezing in alongside efforts to repair the propellant lines that run into the launch mount, upgrades began on March 24th as a SpaceX team worked to install what looked like an incredibly sturdy tripod (with four ‘legs’, of course). Thanks to familiar testing done with SpaceX’s most recent Starship tank prototype, the purpose of the launch mount’s newest appendage quickly became clear.
During the Starship SN2 tank’s thrust structure (‘thrust puck’, per Elon Musk) test campaign, SpaceX debuted the concurrent use of a beefy hydraulic jack to simulate the forces a Raptor engine static might produce. Capable of producing upwards of 200 metric tons (440,000 lbf) of thrust at full power, SpaceX will likely begin Starship static fire tests with a single Raptor engine. As soon as a Starship prototype completes one or several single-engine test fires, the plan is to install three sea level-optimized Raptor engines and repeat static fire tests.
Before that triple-engine static fire milestone, a first for the cutting-edge Raptor engine, SpaceX needs to verify that Starship’s thrust structure can stand up to the ~600 tons (~1.3M lbf) of force it will be subjected to during such a test. Sitting on a much smaller stand, Starship SN2 used a single hydraulic jack and temporary stand to simulate a single engine’s thrust. Starship SN3, sitting much higher above the ground, will need three jacks to simulate three Raptors.
As such, it looks likely that Starship SN3’s first cryogenic tank proof test – filling the vehicle with inert liquid nitrogen – will coincide with a second dedicated stress test of a Starship thrust structure, hopefully proving itself capable of surviving the force of three Raptor engines at full thrust. While orbital-class Starships will need three more vacuum-optimized Raptor engines, three sea-level engines are all SpaceX needs to begin flight tests with suborbital prototypes.
Based on an unofficial analysis of existing photos, it appears that every single major structural piece of Starship SN3 – excluding legs and fins – is nearing completion, even including the ship’s shiny nosecone. Likely to head to the launch pad for its first tests as soon as the tank section alone has been completed, just one stacking event remains before said tank section reaches its full height. Right now, both of those parts have been moved to a dedicated Vehicle/Vertical Assembly Building (VAB) and are probably no more than a day or two away from being joined*. Perhaps just a day or two after that milestone, SpaceX will likely transport the massive rocket to the launch pad to begin preparing for its first proof tests.
*Around 3am local time, SpaceX technicians stacked Starship SN3’s two main segments, completing its tank and engine section.
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
