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SpaceX’s most important Super Heavy booster part makes first appearance
What is arguably the most complex and important part of SpaceX’s Super Heavy booster prototype has made its first appearance at the company’s South Texas Starship factory.
Following in the footsteps of Starship development, Super Heavy has been able to extensively borrow from the many lessons learned over the course of building, testing, flying, and building more Starship prototypes. SpaceX is able to use virtually identical materials, equipment, and techniques to build and assemble both Starship and Super Heavy propellant tank barrels and domes, while both stages will also share an extensive foundation of avionics, plumbing, propulsion, and ground systems, among other things.
In fact, lacking a conical nose, secondary (‘header’) propellant tanks, flaps, a reusable orbital-class heatshield, and vacuum-optimized Raptor engines, Super Heavy is actually substantially simpler than the Starships it will one day launch towards orbit. However, not everything is simpler. Super Heavy will ultimately be the largest and most powerful liquid-fueled rocket stage ever built or tested – power that demands as many as 28 Raptor engines and a thrust structure capable of feeding and withstanding them.
Designing, building, and testing such a thrust structure is arguably one of – if not the – most challenging engineering hurdle standing between SpaceX and its aspirational Super Heavy design. It’s the first of those Super Heavy-specific thrust structures – in the form of a tank dome – that was spotted at SpaceX’s Boca Chica, Texas Starship factory on January 25th, roughly six weeks after its main component was spotted.
Unlike Starship, which relies on a small central ‘thrust puck’ fit for three sea-level-optimized Raptor engines and plans for three larger vacuum-optimized engines that will attach to the side of its hull, Super Heavy’s current design iteration features as many as 28 sea-level Raptors. Aside from CEO Elon Musk revealing that Super Heavy would have a central cluster of eight engines, the precise configuration has been a mystery.
The reality, as recently captured in photos above by NASASpaceflight photographers and contributors Mary (BocaChicaGal) and Jack Beyer, appears to be a much larger donut-shaped ring with space for eight gimballing Raptor engines. The remaining 20 Raptor engines would then be installed – possible mounted to the skirt, the thrust dome, or both – in the space left between the thrust donut and Super Heavy’s skirt.
Either way, the structures behind the two rings of engines will have to withstand at least 6600 metric tons (14.5 million lbf) of thrust at liftoff – approximately twice the thrust of Saturn V and Soviet N-1 rockets and more than three times the thrust of SpaceX’s own Falcon Heavy. Holding eight Raptors, the donut structure and dome recently pictured for the first time will also have to singlehandedly stand up to 1600 tons (3.5 million lbf; two Falcon 9s’ worth) of thrust while gravity, acceleration, and some 2500 tons of supercooled liquid oxygen push in the opposite direction.
In simpler terms, the business end of Super Heavy poses an extraordinarily difficult challenge and SpaceX has already built the first true-to-life prototype, with future iterations likely close on its heels. Much like Starship, if/when prototype booster number one (BN1) passes basic pressure and cryogenic proof tests, SpaceX will likely focus the rest of Super Heavy’s first test campaign on stressing the rocket’s unproven thrust structure to its design limits.
Like Starship, SpaceX will likely try to begin with nonexplosive methods, perhaps using a similar – but far larger – series of hydraulic rams to less riskily simulate the thrust of 8-28 Raptor engines. A steel structure spotted on a recent aerial overflight of SpaceX’s Starship factory might even fit the bill for such a structure, though only time will tell.
Based on an apparent acceleration of Super Heavy assembly work that may have started last week, as well as the crucial appearance of the last missing puzzle piece in the form of BN1’s thrust dome, the first booster could be completed and ready for testing sooner than later.
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
