News
SpaceX’s first 33-engine Super Heavy booster reaches full height
Approximately 11 weeks after the process began, SpaceX has finished stacking its newest Super Heavy booster prototype – the first of its kind intended to host 33 new Raptor V2 engines.
Designed to launch Starship’s massive, namesake upper stage part of the way to orbit, Super Heavy is in many ways simpler than Starship but just as complex and unprecedented in others. Ignoring SpaceX’s unusual plans to have boosters land on huge mechanical arms installed on a skyscraper-sized tower, Super Heavy is ‘merely’ a large vertical-launch, vertical-landing liquid rocket booster – the likes of which SpaceX already has extensive experience with through Falcon 9 and Falcon Heavy. What mainly sets Super Heavy apart is its sheer scale.
Measuring around 69 meters (~225 ft) from tip to tail, Super Heavy – just one of two Starship stages – is almost as tall as an entire two-stage Falcon 9 or Falcon Heavy rocket. At nine meters (~30 ft) wide, a single Super Heavy booster – effectively a giant steel tube – should be able to store at least six or seven times as much propellant as Falcon 9 and about two to three times as much as Falcon Heavy. Engine count and peak thrust are similarly staggering.
SpaceX’s newest Super Heavy prototype – Booster 7 (B7) – expands those engine-related capabilities even further. Instead of the 29 Raptor V1 engines installed on Super Heavy B4, Booster 7 is designed to support up to 33 Raptor V2 engines. While the V2 design significantly simplifies Raptor’s design to make it easier to build, install, and operate, it also substantially boosts maximum thrust from around 185 tons (~410,000 lbf) to at least 230 tons (~510,000 lbf). In theory, if Super Heavy B7 is outfitted with a full 33 Raptor V2 engines capable of operating at that claimed thrust level, Booster 7 could theoretically produce at least 40% more thrust than Booster 4. B4, however, has yet to attempt a single static fire.
The fact that SpaceX hasn’t put Booster 4 through a single full wet dress rehearsal (a launch simulation just shy of ignition) or static fire test after more than half a year at the orbital launch site has led many to assume that the prototype is likely headed for premature retirement. With Booster 7 now perhaps just a week or two away from test-readiness, SpaceX finally has a viable replacement capable of both carrying the flame forward and kicking off the qualification of the first prototype designed to use Raptor V2 engines.
Booster 7 features a number of other design changes, including sleeker raceways (external conduits that protect wiring and smaller plumbing); a different layout of the pressure vessels, ‘hydraulic power units,’ and umbilical panel installed on its aft; and significant changes to the aerocovers that slot over that aft hardware. Beyond its Raptor engines, the two next most substantial modifications made to Super Heavy Booster 7 are arguably a pair of strake-like aerocovers and the addition of large internal ‘header’ tanks meant to store landing propellant.
A series of new sharp-edged aerocovers are now expected to slot over the top of two new pairs of five composited-overwrapped pressure vessels (COPVs) that run about a third of the way up Booster 7’s tanks. It’s possible that they will function a bit like strakes, fixed wing-like structures designed to improve aerodynamic stability. In comparison, Super Heavy B4 has four sets of two COPVs spaced evenly around the outside of its engine section.
Finally, SpaceX appears to have upgraded Super Heavy Booster 7 with a full set of internal header tanks, meaning that it should now be able to store all needed landing propellant in separate tanks. That significantly decreases the amount of pressurization gas required and makes it much easier to ensure that Super Heavy’s Raptor engines are fed with an uninterrupted flow of propellant during complex in-space and in-atmosphere maneuvers. Following SpaceX’s decision to turn Super Heavy’s tank vents into maneuvering thrusters, header tanks should also decrease the chances of liquid propellant being accidentally vented while the booster is in microgravity/free-fall conditions.
With any luck, Super Heavy B7 will be fully assembled and ready for proof testing. It’s very likely that it will take SpaceX several more months to mature Raptor V2’s design into something ready for flight and produce and qualify at least 33 of the engines but in the interim, Booster 7 can hopefully kick off cryogenic proof and wet dress rehearsal testing as early as late March or early April.
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
