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SpaceX confirms Tuesday Starship launch debut will have an official webcast

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Update: SpaceX has confirmed plans to attempt Starship serial number 8’s (SN8) high-altitude launch debut as early as Tuesday morning, December 8th.

The company also made good on CEO Elon Musk’s promise to share SN8’s risky first flight “warts and all” and reiterated that the mission will have an official webcast. As with all developmental testing, timing is uncertain and liable to change at the last second, but Starship SN8’s launch debut is currently scheduled between 8 am and 5 pm CST (UTC-6) on Tuesday, December 8th.

https://www.youtube.com/watch?v=nf83yzzme2I

SpaceX’s much-anticipated Starship launch debut has slipped from Sunday to Tuesday around the same time as CEO Elon Musk was seen arriving in South Texas.

Heralding something, the executive’s private jet landed in Brownsville, Texas on December 5th, around half a day prior to Starship SN8’s Monday, December 6th launch target. Most recently scheduled (however tenuously) as early as November 30th, there were strong signs – at one point – that SN8’s launch debut could come as soon as October or early November.

The many flavors of Starship SN8 at SpaceX’s Boca Chica, Texas launch facilities. (Richard Angle)

While at first quite smooth, the ~50-meter-tall (~165 ft) rocket – both the first to reach that height and fire up multiple Raptor engines – has had a fairly rocky journey from factory to flight. Unspecified issues with one or more Raptors triggered an engine swap retesting at a cost of a week or two, while the most significant issue – a near-catastrophic loss of hydraulic control caused by debris kicked up by Raptor – likely delayed SN8’s launch debut by another two or so weeks.

Sunrise at the launch pad. (NASASpaceflight – bocachicagal)
Starship SN8 and SpaceX’s bizarre wetland rocket factory are backlit by a spectacular South Texas sunset. (Richard Angle)

On November 25th, SpaceX essentially redid the ill-fated static fire after replacing a Raptor, firing up all three of Starship SN8’s engines for the second time in a prelude to the rocket’s imminent liftoff. Musk quickly confirmed that the results of the test were good, opening the door for a launch debut as early as “next week” (Nov 29/30).

November 30th soon came and went, as did backup attempts in the days following. Most recently, plans for SN8 to launch on December 6th or 7th were canceled in favor of the 8th (8 am to 5:30 pm CST/UTC-6) with backups on December 9th and 10th (8 am to 5 pm). Local road closures were quickly followed by Temporary Flight Restrictions (TFRs) published by the FAA, confirmation that they were the new targets for Starship SN8’s 12.5-kilometer (~7.8 mi) launch debut.

Leaning heavily on the “ship” in its name, Starship SN8 is built almost entirely out of stainless steel and can thankfully tolerate a bit of rust. (Richard Angle)

With Musk himself now on the ground in Texas to (presumably) oversee Starship SN8’s debut, the odds of launch later this week are arguably much better. Having now spent more than 10 weeks at the launch pad, at least twice as long as any Starship preceding it, there’s no small chance that SN8 – the first prototype of its kind – is starting to be more of a nuisance than an asset. By all appearances, Starship SN9 – essentially a “refined” copy of SN8 – is practically ready for launch with SN10 perhaps just a week or two behind it.

In other words, if SN8 (and not Raptor or ground support equipment) is specifically to blame for about a month of delays, new and improved replacements are waiting for their turn just down the road. Stay tuned for updates as we (hopefully) track towards Starship’s first high-altitude test flight.

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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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