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SpaceX rolls upgraded Super Heavy booster to the launch pad

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SpaceX has begun transporting an upgraded Super Heavy booster to its South Texas launch facilities, where the rocket will likely be tested with a rarely used stand known as the ‘can crusher’.

On Wednesday, March 30th, SpaceX scheduled a temporary road closure – indicative of transport operations – on March 31st. The Friday prior, Super Heavy Booster 7 (B7) left the high bay it was assembled in multiple times, only to roll back inside at the end of the day. More likely than not, SpaceX decided to keep working on the booster inside the shelter of the high bay while a different team focused on preparing Starbase’s orbital launch site (OLS) for B7’s arrival. Simultaneously, moving Booster 7 also made room for SpaceX to begin stacking Booster 8, which began the same day.

Work at the pad has centered around one thing in particular: a massive mechanical device affectionately known as the ‘can crusher.’ Made up of two large steel structures, that structural test stand’s primary purpose is, to some degree, to attempt to crush Starship test tanks and Super Heavy prototypes. SpaceX transported the bottom half of the structural test stand to the orbital launch site a few days before Booster 7’s first brief trip outside the high bay.

A few days later, pictured in the tweet above, unofficial aerial photography of Starbase revealed that SpaceX has modified the stand with 13 hydraulic rams, all but guaranteeing that it will be used to test SpaceX’s next Super Heavy. B7 is the first booster designed to use upgraded Raptor V2 engines – and 33 of them, no less. Boosters 3 and 4 had room for 29 older Raptors. That ~14% increase in engine count required a redesigned thrust section, raising the number of central gimballing Raptors from 9 to 13.

Raptor V2’s upgrades are far more consequential, however. On top of major design simplifications that should slash the cost of manufacturing, Raptor V2’s maximum thrust was boosted from about 185 tons to 230+ tons (~410,000-510,000 lbf). Combined with more engines, Super Heavy Booster 7 could theoretically produce around 7600 tons (~16.7M lbf) of thrust at liftoff, while Booster 4 – which never fired even one of its 29 Raptor V1.5 engines – could have produced about 5400 tons (~11.9M lbf). That 40% increase in max thrust likely necessitated a similarly strengthened thrust section, involving a large number of mostly invisible design changes.

Those changes now need to be qualified and it appears that SpaceX may use B7 – an entire Super Heavy booster that could one day fly – to verify their performance instead of a cheaper, more disposable test tank. The first part of that testing will likely involve simulating the thrust of at least 13 of Booster 7’s engines. The test stand’s ‘cap’ could also be installed on top of Booster 7 once it arrives at the pad, possibly allowing SpaceX to simulate both the thrust of all 33 engines and the stress caused by acceleration during launch, reentry, and landing. Finally, SpaceX has begun installing a custom fixture and plumbing that will allow all of that structural testing to occur while Super Heavy is loaded with liquid nitrogen (LN2) or oxygen (LOx), adding another layer of stress.

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SpaceX transported the structural test stand to the launch site on March 22nd and began installing plumbing that will connect Booster 7 to pad systems. A ‘cap’ could be added to simulate stresses during launch and the thrust of an outer ring of 20 more Raptors.(NASASpaceflight – bocachicagal)

Assuming the structural test stand is strong enough to support a several-thousand-ton booster, SpaceX could also feasibly complete cryogenic proof tests (with benign LN2 or LOx) and even wet dress rehearsals (with flammable LOx and methane propellant) with the same setup. Fully proofed, Booster 7 could then be fitted with Raptor 2 engines and installed on Starbase’s ‘orbital launch mount’ for static fire testing.

Based on road closures, SpaceX at least wants the option to begin testing Booster 7 as early as Friday, April 1st – the day after it arrives at the launch site. If test readiness slips further to the right, which is likely, additional opportunities are available on April 4th and 5th.

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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