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SpaceX CEO Elon Musk's latest Starship photos reveal surprise landing legs [confirmed]
Update: In a Twitter response to Teslarati’s report, Musk confirmed that SpaceX has already installed six telescoping landing legs on the Starship SN3 prototype.
CEO Elon Musk published new photos of a Starship prototype shortly after it was moved to SpaceX’s South Texas launch pad, revealing the surprise inclusion of already-installed landing legs and hinting at the growing maturity of the rocket’s design.
Published on March 30th and likely taken late on March 29th, Musk’s latest Starship photos offer the best look yet at the massive vehicle’s engine section, where Raptor engines may soon be installed for historic static fire and hop test attempts. First captured in photos taken by local photographer and resident Mary (bocachicagal) on March 28th, speculation about what appeared to be six odd legs immediately kicked off on spaceflight forums. Due to limited publicly-available perspectives and the appendages’ locations inside Starship’s cavernous engine section, there was some limited ambiguity as to whether the steel pieces were truly legs or something closer to general structural support.
Thankfully, Musk’s new photos all but confirmed the former theory, revealing a sextet of hinged legs with a curious stubby appearance and what appears to be a rather simple and elegant design. Most importantly, the unexpected presence of landing legs – while likely cheap to implement – suggests that SpaceX is growing increasingly confident in each subsequent Starship prototype, an encouraging sign for imminent static fire and hop test plans.
In fact, SpaceX filed a Notice to Airmen (NOTAM) with the Federal Aviation Administration (FAA) on March 30th — the biggest confirmation yet that the company is seriously working to prepare Starship SN3 for a Raptor engine static fire test as early as April 1st. Backup dates on the 2nd, 3rd, and 4th are included, leaving a decent amount of breathing room for SpaceX’s Texas team to (hopefully) successfully complete the rocket’s proof test in the next few days.
Possibly preceded by a water pressure test to check for leaks and verify general structural integrity, Starship SN3’s proof test will see the rocket’s methane and oxygen tanks fully filled with cryogenic liquid nitrogen. The tank pressure would then be increased to around 6-8 bar (90-115 psi) to ensure that Starship can handle the thermal and pressure stresses it will experience during launches. Given SpaceX’s recent history, including a partially unintentional Starship Mk1 tank failure in November 2019, the intentional destruction of two Starship test tanks in January 2020, and Starship SN1’s unintentional February 2020 failure, success is still far from guaranteed for Starship SN3.
Nevertheless, SpaceX seems more confident in Starship SN3 than it was in Starships Mk1 and SN1 – the only other full-scale prototypes to have reached the testing phase. It’s possible that including leg prototypes were cheap and easy enough to be worth installing regardless of SpaceX’s broader confidence in Starship SN3 as a whole. However, it would still be a clear waste of time and resources to install all six landing legs if the internal consensus was to expect a failure in the early phases of SN3 testing.
SpaceX, in other words, seems to believe that Starship SN3 will pass its imminent tank proof test without any major issues. Additionally, the company must be confident in the outcome of the Starship SN3 Raptor static fire(s) expected to immediately follow any successful proof test. SpaceX has successfully demonstrated Raptor several times on flight hardware with the help of the Starhopper development vehicle, but a full-scale Starship is arguably a different animal.
Regardless, it’s now clearer than ever that SpaceX is confident enough to put a few eggs in the Starship SN3 basket. With landing legs installed, the massive rocket prototype could be ready for a Starhopper-style 150m (500 ft) hop test just a week or so from now. For now, though, Starship SN3 needs to pass a tank proof test, perform a wet dress rehearsal (WDR) with real propellant, and complete one or several Raptor static fires before a flight test will be in its cards. Stay tuned!
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
