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SpaceX’s next Starship hop a step closer after ‘cryo proof’ test
SpaceX appears to have successfully completed one of three major tests standing between a new Starship prototype and the rocket’s next hop.
Known as a cryogenic proof test (“cryo proof”), signs currently point towards a success on Starship SN6’s first try – albeit an hour or two past the end of the planned test window. The proof was planned between 8 am and 5 pm CDT (UTC-5) on August 16th with identical backup windows on Monday and Tuesday in the event of an abort or delay. Thankfully, in a breath of fresh air after many Starship SN5 test delays, SpaceX had no such need.
With the help of local sheriffs, SpaceX closed the highway around 10:15 am and pressurized Starship SN6 with ambient-temperature gas (likely nitrogen) around half an hour later. As usual, the company took its time while the Starship prototype effectively came to life for the first time. Around 2.5 hours later, the Starship began visibly venting for the first time as it operated dozens of valves to maintain safe tank pressures.
To perform a cryogenic pressure test, SpaceX effectively performs a wet dress rehearsal (WDR) – a test that simulates a full launch flow short of liftoff – with no engine installed. To prevent leaks or hull breaches from turning potentially catastrophic during what is often the first major test of a prototype, SpaceX loads Starship with liquid nitrogen (LN2) instead of liquid methane and oxygen propellant. During that process, Starship’s thin steel skin will quickly drop to arctic temperatures, becoming cold enough that it will literally freeze the water vapor out of any ambient air it comes in contact with.
Around 1 pm local, the first sign of that frost sheath appeared but remained a sliver before disappearing around 2 pm. Starship SN6 then hung around for an hour before testing activities appeared to restart. Close to 5:40 pm, almost an hour after SpaceX’s August 16th window was meant to close, frost reappeared on Starship SN6’s hull and rapidly crept up the side of the massive rocket.
Starship SN5’s own cryo proof test – completed on June 30th – debuted apparent upgrades to SpaceX’s South Texas launch facilities, loading the rocket with hundreds of thousands of gallons of LN2 in 15-20 minutes. The ability to load huge quantities of cryogenic propellant very quickly will be critical for SpaceX, as Starship’s efficiency will decrease substantially as its propellant warms. Along those lines, Starship SN6 became the second prototype to be rapidly loaded with liquid nitrogen, going from nearly empty to nearly full in ~15 minutes.
SN6 detanked over the next hour or so and SpaceX opened the road and had a team back on the pad to inspect the rocket by 7:40 pm. At some point during the test, SpaceX likely actuated hydraulic arms attached to Starship’s engine section to simulate the stresses of Raptor thrust under cryogenic loads. Either way, SpaceX was apparently satisfied with the results of Starship SN6’s first cryo proof and proceeded to cancel two backup windows scheduled on August 17th and 18th – a consistent sign that things either went very right or very wrong.
In the case of SN6, nothing was distinctly amiss or different during its cryo proof, pointing towards a successful test. If that’s the case, SpaceX will begin removing the hydraulic Raptor simulator to install an actual Raptor engine and will scheduled road closures for an imminent static fire test. Prior to that actual Raptor ignition test, SpaceX may choose to perform a wet dress rehearsal (WDR) on its own or partially test Raptor by igniting its preburners to momentarily spin up its turbopumps. The company could also integrate both of those precursor tests into the same window as the static fire itself.
If those tests go according to plan, Starship SN6 could be ready for SpaceX’s second full-scale hop ever just a week (or less) later. CEO Elon Musk says that the company’s current goal is to perform multiple Starship tests until the process is fast, smooth, and consistent.
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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
