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SpaceX’s first Starlink V2 satellites spotted at Starbase
On Monday, SpaceX was spotted loading some of the first Starlink V2 satellite prototypes into a custom mechanism designed to refill Starship’s magazine-like payload bay.
While it’s not the first time SpaceX has used the dispenser, the photos captured by photographer Kevin Randolph for the YouTube channel ‘What about it!?’ are the first to clearly show real prototypes of the next generation of Starlink satellites. According to CEO Elon Musk, those Starlink Gen2 or V2 satellites will be “at least 5 times better”, “an order of magnitude more capable,” and about four times heavier than current (V1.5) Starlink satellites.
The potential of the new satellite bus design paired with Starship’s massive fairing and lift capacity could dramatically improve the viability and cost-effectiveness of SpaceX’s Starlink constellation. First, though, the company needs to launch and qualify prototypes of the new satellite design and verify that all associated ground support equipment works as expected.
Due to the designs SpaceX has settled on for both Starlink V2.0 satellites and the Starship hardware that will deploy them in orbit, that ground support equipment and the general path each satellite will take from its arrival at the launch facilities to liftoff on a Starship are wildly different than anything done before. July 18th’s photos (and screenshots from a recent factory tour) confirm that the next-gen satellites are basically enlarged versions of their smaller predecessors, which are also narrow rectangles.
The new spacecraft have a very similar aspect ratio but are around seven meters long and three meters wide (23′ x 10′) instead of approximately 3m x 1.5m (10′ x 5′). They also appear to be about twice as thick and reportedly weigh ~1,250 kilograms to V1.5’s estimated 310 kilograms (~2,750 lb vs ~680 lb). As a result, the V2.0 bus will have about 7-10 times more usable volume than V1.0 and V1.5. It should be no surprise, then, that each next-gen satellite could offer almost magnitude more usable bandwidth.
Assuming that Starship launch costs are roughly the same as Falcon 9 and that Starship can only launch a similar 50-60 satellites at once, an almost 10x performance improvement from a satellite that only weighs five times as much relative to V1.5 would make Starlink V2.0 constellation deployment at least twice as cost-efficient to deploy even if Starship could only launch the same mass (~16 tons) as Falcon 9. In fact, a recent SpaceX render suggests that Starship will be able to carry 54 Starlink V2.0 satellites initially. As a result, even if Starship costs five times more to launch than Falcon 9 (~$75M), it will still be cheaper per unit of bandwidth launched. If Starship eventually reaches marginal launch costs as low as Falcon 9 (~$15M), the cost of Starlink launches (not including satellite cost) could plummet from about $15,000 per gigabit per second (Gbps) to around $1,500-2,500 per Gbps depending on individual satellite bandwidth.
The total cost of the network will be higher, of course, and dependent on more variables, but the combination of Starship and V2.0 satellites could eventually reduce the relative cost of Starlink launch operations by a factor of 5-10. If Starlink V2.0 satellites are actually cheaper to manufacture per unit of throughput than V1.5 satellites, which is not implausible once mass-production begins, those savings will deepen. If Starship can quickly mature and becomes fully and efficiently reusable, the equation could become even more favorable.
Still, loading Starship with satellites is going to be no minor feat and will add a significant amount of complexity and risk relative to the methods SpaceX currently uses for Falcon 9 Starlink launches. SpaceX’s initial Starship payload bay design is a roughly square enclosure that slots just above the ship’s uppermost tank dome and below its inward-curving nosecone. Per a render of the mechanism released last month, it measures about nine meters (30 ft) tall and eight meters (26 ft) wide, can store up to 54 Starlink V2.0 satellites, and dispenses pairs of satellites through a relatively tiny payload bay door that’s only wide enough for the task at hand.
Starship’s airframe is almost exclusively welded together. Once the nosecone and payload bay are installed on top of a ship, the only way to access the interior of the bay is through the dispenser door or an even smaller human-sized access port. SpaceX’s solution: build a mobile satellite storage box that will be lifted by crane (or launch tower arms) dozens to hundreds of feet off the ground and use the payload bay’s own dispenser mechanism in reverse to load satellites like bullets into a giant magazine. If that sounds simple, which it shouldn’t, it’s not.
It’s great, then, to see SpaceX apparently practicing that process with some of the first Starlink V2.0 prototypes. In photos captured on July 18th, workers were spotted loading several satellites into the only existing ‘loader’ inside one of Starbase’s three main factory tents. Each satellite was lifted using a load-spreader device that was presumably required to prevent the extremely long and thin satellites from bending too much in the middle during the lift. It’s unclear whether SpaceX is solely practicing the process or if it’s actually installing satellites well in advance for loading onto a Starship prototype.
Starship S24 is in the middle of preflight testing and has already been greeted by the satellite loader once before, possibly to load a prototype or mockup before ground testing began. Starship S25 appears to be at least a month or two away from completion, though its nose and payload bay section are much closer.
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
