News
SpaceX’s next Starship starts to take shape as Elon Musk talks next steps
Less than a day after SpaceX successfully hopped a full-scale Starship prototype for the first time, the company has begun stacking the next rocket and Elon Musk is talking next steps.
Almost immediately after Starship SN5 took to the sky on a 150m (500 ft) hop debut, SpaceX CEO Elon Musk was talking about the company’s next near-term goals for the next-generation launch vehicle’s test program. To an extent, he had already offered a rough overview through various interviews and tweets over the last year or so. Aside from continuing to gradually refine Starship and Super Heavy designs and the processes used to manufacture and test those rockets, a few major proofs of concept stand between SpaceX and total confidence in the current architecture.
As far as basic rocketry goes, SpaceX’s 150m Starship hop has functionally proven that the company’s exotic, rule-of-thumb-breaking approach to Starship production and assembly can be feasibly refined into something capable of producing extraordinarily cheap orbital-class rockets. While a massive achievement, it doesn’t guarantee that the rockets produced will be reusable – let alone rapidly and easily reusable.
As of now, it can be safely stated that SpaceX has solved all major challenges involved in routinely and reliably landing and reusing orbital-class rocket boosters (first stages). It’s hard and surprises are always a possibility, but the landing records of Falcon 9 and Falcon Heavy boosters speak for themselves. For the colossal booster Starship needs to reach orbit, the Falcon family’s success means that Super Heavy recovery and reuse is more a question of “when” than “if”.
Starship, on the other hand, is going to offer many different challenges – some unprecedented for SpaceX and others unprecedented in the entire history of spaceflight. For Starship to be able to support a level of reuse compatible with what the Super Heavy booster is likely to achieve, SpaceX will have to create the biggest and most effortlessly reusable orbital-class spacecraft ever built.
Even heavier than NASA’s Space Shuttle orbiter, Starship will also rely almost entirely on the unproven technology of on-orbit cryogenic propellant transfer to reach beyond low Earth orbit (LEO). To survive orbital-velocity reentries while still being rapidly and cheaply reusable, Starship will further have to push the envelope of heat shield technologies. Last but certainly not least, in its current iteration, Starship relies on a truly unprecedented style of recovery to efficiently land back on Earth.
It’s this last bit where CEO Elon Musk’s recent comments and recent activity at SpaceX’s Starship factory come in. According to Musk, SpaceX intends to perform at least several more smaller hops (a la SN5) “to smooth out [the] launch process.” It’s unclear which prototype(s) will be involved in that series of hops but after SpaceX is satisfied with the state of launch operations, the plan is to “go high altitude with body flaps.” Based on past comments, it’s safe to assume that Musk is referring to a plan to launch a Starship to 20 km (~12 mi).
After reaching 20 km, Starship would orient itself belly down – a bit like a skydiver – and quite literally fall its way to ~1 km altitude before attempting an aggressive Raptor-powered pitch-over maneuver and last-second landing. By using Earth’s atmosphere much like a skydiver trying to slow down, Starship will theoretically be able to dramatically reduce the amount of propellant it needs to land.
That high-altitude launch and landing demonstration will also be the first time a Starship truly needs aerodynamic control surfaces (i.e. “body flaps”) to safely complete a flight test. According to NASASpaceflight.com info, Starship SN8 – also the first full-scale prototype to be built out of a different steel alloy – will be the first ship to receive functional flaps and a nosecone. If initial tests go according to plan, SN8 will also be the first ship to attempt a skydiver-style landing as described above. As far as full-scale aerodynamics goes, such a landing is loosely understood at best. For an orbital-class spacecraft, it’s even more of a wildcard.
Regardless, just hours after Starship SN5’s successful hop debut, SpaceX began stacking the first of several already finished Starship SN8 sections. Based on the assembly of past prototypes, the ship’s tank section could reach its full height just a few weeks from now, while subsequent nosecone and flap installations are uncharted territory.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
