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SpaceX Starship rocket rolls to launch pad to prepare for Starhopper-style hop test

SpaceX's Starship SN3 prototype rolled to the launch pad on March 29th, likely less than a month after work on the rocket began. (SPadre)

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SpaceX has finished its third full-scale Starship prototype and rolled the rocket’s tank and engine section to a nearby launch pad just a matter of weeks after work began, now ready to prepare for a potentially imminent Starhopper-style hop test.

SpaceX’s rapidly-growing Boca Chica, Texas Starship factory is now producing so much rocket hardware that it’s hard to track any single vehicle’s birth. However, it still appears that SpaceX’s Texas team managed to complete the Starship SN3 prototype in less than a month, measured from first steel ring stacking to the ship’s integrated business end being transported to the launch pad. Simultaneously, the company fabricated, assembled, and tested an entirely separate Starship test tank, verifying that a design flaw that likely lead to Starship SN1’s February 28th destruction had been rectified.

Featuring the same design improvements that allowed that Starship test tank to become the first to pass proof testing intact, Starship SN3 is the best candidate yet to kick off true wet dress rehearsal (WDR) and Raptor engine static fire testing. Both will require real liquid methane and oxygen propellant to be loaded, potentially turning Starship SN3 into the equivalent of many tons of TNT if things were to go south. To be clear, there is a significant chance that such an early, rapidly-built prototype will not survive its upcoming test campaign. Nevertheless, Starship SN3 has the numerous lessons learned from both the successes and failures of all previous vehicles built into it, giving it the best chance yet. Still, the massive rocket will need to pass one or several less risky tests before it can begin to attempt more groundbreaking feats.

Set to follow in the footsteps of all previous Starship test articles, SpaceX will soon kick off Starship SN3’s test campaign with a liquid nitrogen proof test – still extremely cold (i.e. cryogenic) but chemically neutral (i.e. can’t explode). Delivery trucks were spotted topping off SpaceX’s liquid nitrogen supplies just yesterday. The company also has a four-hour road closure scheduled to start at 5pm CDT (22:00 UTC) today, shortly after this article went live.

SpaceX moved (half of) its first flightworthy Starship prototype – SN1 – to the launch pad on February 25th. (SPadre)
On February 28th, Starship SN1 was destroyed by a design flaw in its “thrust puck”, the structure that Raptor engines would have attached to. (NASASpaceflight – bocachicagal)
One month (30 days) later, Starship SN3’s completed engine section was craned onto a Roll Lift transporter in the middle of the night, arriving at SpaceX’s nearby launch pad on March 29th. (NASASpaceflight – bocachicagal)

If it isn’t delayed, that March 29th road closure is likely meant to allow SpaceX to pressurize Starship SN3 with liquid nitrogen, pushing it beyond flight pressures (6 bar/90 psi) in what’s known as a proof test. If successful, it would verify that the rocket’s tank section is sound while also bringing it to cryogenic temperatures, potentially strengthening the steel with cryogenic hardening.

Just hours later, SpaceX technicians lifted the Starship tank section onto the launch mount, where it will be prepared for imminent proof testing. (SPadre)

Beyond those initial plans, the FAA license SpaceX used to support Starhopper’s July and August 2019 hop tests may actually enable test flights of full-scale Starship prototypes, too. Incredibly, according to Cameron County, Texas beach closure requests made on March 23rd, SpaceX’s goal is to prepare Starship SN3 for a Raptor engine static fire test as early as April 1st (no fool), followed by a potential 150m (500 ft) Starhopper-style flight test on April 6th.

For obvious reasons, delays to that ambitious schedule – particularly the flight test – are extremely likely, but Starship SN3 is now unequivocally at the launch pad. Stay tuned for updates on the rocket’s potentially imminent proof test and the impacts that might have on future tests.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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