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SpaceX to shrink, tweak Starship’s forward flap design, says Elon Musk
SpaceX CEO Elon Musk says that there is a “slight error” with the current design of Starship’s forward flaps, necessitating a few small but visible changes on future prototypes of the spacecraft.
Measuring 9m (30 ft) wide and approximately 50m (~165 ft) from tip to tail, Starship is the combined upper stage, spacecraft, tanker, and lander of a two-stage, fully-reusable rocket with the same name. While SpaceX has a long ways to go to achieve it, the company’s ambition is for Starship and its Super Heavy booster to be the most easily and quickly reusable spacecraft and rocket booster ever built, nominally enabling the same-day reuse of both.
Beyond a Space Shuttle-style heat shield of blankets and ceramic tiles, the Starship upper stage is meant to achieve that reusability by descending through the atmosphere and landing unlike any other spacecraft, plane, or rocket ever flown. Instead of flying, gliding, or knifing through the atmosphere nose or tail-first, Starship freefalls perpendicular to the ground for the last few dozen kilometers (~10-20 mi) before aggressively flipping into a vertical orientation at the last second and landing propulsively on its tail. Now, according to Elon Musk, two of the four ‘flaps’ that largely make that exotic maneuver possible are set for a small but significant redesign.
Probably slightly further forward, smaller, more inward. No funny looking static aero at top, as static aero no longer directly in flow.— Elon Musk (@elonmusk) August 18, 2021
Over the course of five suborbital test flights of full-scale Starship prototypes completed between December 2020 and May 2021, SpaceX took that exotic landing concept from the drawing board and subscale wind tunnel testing to reality. Though four of those five tests ended in destruction, their respective Starship prototypes really only failed in the last 15-30 seconds of test flights that were more than six minutes long.
After reaching an apogee of 10-12.5 km (~6.2-7.8 mi) over the course of some four and a half minutes, all five Starship prototypes successfully shut down their Raptor engines, tipped over onto their bellies, and then used a combination of small pressurized gas thrusters and four large flaps to stably fall back to Earth. Much like a skydiver can tweak their body, arms, and legs to control their orientation and attitude, Starship uses two pairs of forward and aft flaps to achieve a very similar level of control.
Thanks to Starship’s significant surface area and relatively low mass shortly before landing, that unprecedented freefall-style descent naturally slows the rocket to just 100-200 mph (~50-100 m/s) while simultaneously allowing SpaceX to avoid the massive complexity and added mass of structural wings or fins like those on the Space Shuttle. Further, whereas the Shuttle used its wings to glide (albeit like a brick) and land on very long runways, Starship is designed to use three of its six Raptor engines to flip into a vertical orientation and land much like SpaceX’s own spectacularly successful Falcon boosters.
During the actual process of reentry, in which Starship uses a heat shield made up of ~15,000 ceramic tiles to slow from orbital (Mach 25 or ~7.5 km/s) to subsonic speeds, those same flaps also come in useful to control the vehicle’s angle of attack and thus the degree of extreme heating experienced. According to Musk, to improve the moment arm (i.e. leverage or, all else equal, torque) of Starship’s forward flaps and reduce or remove undesirable aerodynamic characteristics, SpaceX is going to shrink those forward flaps further, move them closer together and more towards the tip of Starship’s nose, and angle them toward the ship’s leeward side (back).
Apparently, those relatively minor changes mean that a portion of Starship’s forward flaps will no longer be directly subjected to reentry heating, potentially allowing SpaceX to entirely remove static “aerocovers” that wrap around the ship’s flaps to prevent superheated plasma and gas from reaching sensitive components. Ironically, SpaceX’s thermal protection team completed the installation of heat shield tiles on one of those forward flap aerocovers for the first time ever just a few days ago – a structure and portion of heat shield that will apparently no longer be needed on future Starships.
For now, though, it looks like Ship 20 will attempt Starship’s first orbital launch with its now-outdated forward flaps. Depending on how far along Ship 21 production is, the next prototype could feasibly sport that new flap design.
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
