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[Update: fully stacked] SpaceX speeds up work on Starship with “hundreds” of upgrades
Update: Less than 24 hours after publishing, SpaceX began installing Starship SN15’s nose section, stacking the significantly upgraded rocket to its full 50m (~165 ft) height.
Excluding the installation of a few minor ‘aerocover’ surfaces used to smooth out the interface between Starship’s hull and four flaps, SN15 will effectively be complete and ready to roll to the launch pad as soon as its nose and tank sections have been welded together. Historically, for SN8-SN11, that process – including visual and radiographic (x-ray) inspections for quality assurance – has taken as few as one or two days, meaning that SN15 could technically be ready to roll out as early as Monday, April 4th.
Of note, SpaceX has already scheduled a road closure from 7am to noon CDT (UTC-5) on Monday – likely to transport a crane to the pad but potentially enough to get both a crane and SN15 to the launch site. Simultaneously, an upgraded or modified hydraulic ram – used to simulate the thrust of three Raptors – was already moved to the pad and installed on one of two suborbital launch mounts on Saturday, April 3rd, meaning that the pad will likely be ready for SN15’s installation tomorrow.
If SpaceX manages to complete both transport tasks on Monday, odds are very good that SN15 will be able to get through one or several qualification tests – including an ambient-temperature pressure test, cryogenic proof, wet dress rehearsal, and static fire – by the end of the week. Stay tuned for updates!
Beginning almost immediately after Starship SN11’s midair explosion earlier this week, SpaceX has accelerated work on a new Starship prototype upgraded with “hundreds of improvements.”
In November 2020, Musk first revealed plans to implement “major [Starship] upgrades” as early as prototype SN15, though the improvements involved in the first apparent Starship ‘block’ change were never detailed. On 30 March 2021, the same day as Starship SN11’s foggy, ill-fated launch debut, Musk confirmed that the SN15+ block upgrade would feature “hundreds of design improvements [to] structures, avionics, software, and [Raptor engines].”
Around the same time, after more than two months of little to not visible activity, work on Starship SN15 rapidly restarted in an apparent bid to achieve Musk’s stated goal of rolling the rocket to the launch pad “in a few days.”
Possibly due to a significant shift in focus from Starship mass-production to the construction of Boca Chica’s first orbital-class launch pad and flight tests of prototypes SN8 through SN11, Starship SN15 has been in the stacking and assembly phase since the turn of the new year. About a month ago, in early March, the rocket’s tank section was stacked to its full height and has been making slow progress in the weeks since – clearly not a pressing priority.
The day after SN11 exploded, SpaceX stacked the last two pieces of Starship SN11’s nose and joined their plumbing and avionics runs, more or less completing the upper third of the prototype. Both nosecone flaps were installed a few days prior. On the same day, March 31st, SpaceX rolled Starship SN15’s tank section (the bottom two-thirds of the rocket) out of Boca Chica’s ‘mid bay’ assembly building and installed both after flaps before moving the vehicle into the ‘high bay.’


With those steps complete, Starship SN15 should be just a few days away from nose installation, at which point it will need just a few more days of work before SpaceX will be ready to install the rocket on a transporter and roll it to the launch pad. It’s not implausible that that move will happen as early as next week, perhaps even leaving enough time for an acceptance test or two before the weekend.
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Tesla crosses major Unsupervised Self-Driving milestone
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
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.
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Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.