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SpaceX’s upgraded Starship passes first ‘cryoproof’ test after repairs
SpaceX CEO Elon Musk says an upgraded Starship prototype has passed its first cryogenic proof or ‘cryoproof’ test after undergoing a week of repairs.
Around noon, local sheriffs closed the road to Starbase’s orbital launch site (OLS) and SpaceX cleared the pad of all personnel, freeing up Starship S24 for the next stage of testing. A week prior, on May 27th, Ship 24 suffered some degree of internal damage during a simpler pneumatic proof test with ambient-temperature nitrogen gas. It’s now clear that most of that pneumatic proof test was successful, demonstrating that the Starship’s main propellant tanks and associated plumbing and valves were structurally sound and working as expected.
Still, for about a week after that first test, teams of SpaceX workers swarmed the Starship prototype 24/7 and were seen extracting damaged plumbing and carefully transporting replacement parts inside. Only on the morning of June 2nd was Ship 24 sealed up again.
Cryogenic fluid loading – liquid nitrogen or a combo of LN2 and liquid oxygen (LOx) – began shortly before 3pm CDT (UTC-5) and the Starship’s main tanks were fully filled about 70 minutes later. SpaceX then let those fluids naturally warm, causing a small portion to boil into gas and gradually raise the pressure inside Ship 24’s main tanks. As the pressure grew, sections of the layers of frost and ice that formed on the outside of its thin steel tanks occasionally sloughed off in sheets or broke off in fragments – the only evidence of stress aside from venting.
After about an hour fully filled, SpaceX began detanking and depressurizing Ship 24. The road and pad were reopened around 8:40 pm. All told, aside from an apparent leak on its liquid oxygen tank access hatch, a very common occurrence, Ship 24 exhibited no unusual behavior and made it through its first cryoproof without any obvious issue. More importantly, SpaceX did not appear to reattempt the pneumatic proof test the ship partially failed before the harder cryoproof test, implying that its first test was mostly successful. CEO Elon Musk later confirmed that the Starship had passed its first cryoproof test a few hours after.
Despite Musk’s positive comment, there was no evidence of activity in Ship 24’s nose section, where a number of crucial vents and secondary header tanks – meant to serve as attitude control thrusters and store landing propellant – are located. Ship 24 is the first Starship prototype with a new design that moved both header tanks into the tip of the nosecone. The nose itself is also the first with a number of other manufacturing and design upgrades to reach a test stand, so verifying that it works as expected is doubly important.
Given that the plumbing that failed in the first test may have been connected to Ship 24’s nose section and header tanks and that neither was obviously involved in the subsequent June 2nd cryoproof, it’s likely that the Starship prototype is not done with cryoproof testing just yet. Nonetheless, the ship’s survival and passage of its first cryoproof bodes well for the next steps.
In the near future, SpaceX is expected to move Ship 24 to a nearby ‘suborbital pad’ and test stand that has been significantly modified to simulate the thrust and mechanical stress of six Raptor 2 engines. If or when Ship 24 passes that test or tests, SpaceX will likely remove the stand’s hydraulic rams and begin installing Raptor engines and associated heat shielding. Then, Starship S24 can enter the final stages of qualification: wet dress rehearsal and static fire testing.
SpaceX has requested additional road closures for potential testing on June 6th, 7th, and 8th.
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
