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SpaceX launches 3000th Starlink satellite
SpaceX has successfully launched its 3000th Starlink satellite as part of Falcon 9’s 54th dedicated mission for the low Earth orbit (LEO) internet constellation.
After high upper-level winds forced SpaceX to call off a launch attempt three hours prior, Falcon 9 lifted off from NASA Kennedy Space Center (KSC) Launch Complex 39A at 10:14 pm EDT (02:14 UTC), carrying another 52 new Starlink V1.5 satellites inside the rocket’s flight-proven payload fairing. Like the fairing halves, both of which had already supported two orbital-class launches, the Falcon 9 booster (B1073) SpaceX assigned to the mission was also flying for the third time.
For the most part, Falcon 9 performed nominally. The booster lifted an expendable upper stage and the enclosed payload most of the way out of Earth’s atmosphere before separating and heading back to Earth. Falcon 9’s upper stage was as perfect as ever, boosting the Starlink stack the rest of the way into a low and elliptical parking orbit, where it eventually spun itself end over end and deployed all 52 satellites at once.
Falcon 9 booster B1073 made it through its reentry and landing burns without issue and safely touched down on drone ship A Shortfall Of Gravitas (ASOG) about nine minutes after liftoff. While that landing was ultimately a success, B1073’s accuracy was not exactly flawless and the booster came to a halt with two of its four legs unusually close to the edge of the drone ship’s deck. Had the booster missed the bullseye by just 5-10 more feet, it could have easily landed with one or two feet off the deck and tipped into the Atlantic.
Nonetheless, the landing was successful and SpaceX should have no issue recovering the booster. In any other context, it would barely be worth noting, but flawless Starlink launches with near-bullseye landings have become such a frequent and routine occurrence that any departure from that norm has become interesting.

Starlink 4-26 (referring to the 26th batch of Group or Shell 4 satellites) was SpaceX’s 54th dedicated Starlink launch overall and 21st Starlink launch in 2022 alone. The mission also carried SpaceX’s 3000th Starlink satellite into orbit, a milestone so far removed from the next largest satellite constellation that it’s now more reasonable to compare Starlink to every other satellite currently in orbit. Of the 3009 Starlink satellites SpaceX has now successfully launched since 2018, 2750 are still in orbit. Assuming all 52 Starlink 4-26 satellites are healthy, astrophysicist and space object tracker Jonathan McDowell estimates that SpaceX has 2714 working satellites in orbit.
Excluding 75 prototype satellites launched over the years, all but 5 of which have since deorbited, 92.3% of all operational Starlink satellites launched by SpaceX since November 2019 are still working in orbit. While Starlink V1.0’s 7.7% satellite failure rate is far from desirable, SpaceX has made clear progress with its V1.5 design, which began launching in September 2021. Excluding 38 satellites that were lost when a solar storm caused Earth’s atmosphere to expand, unexpectedly increasing drag to uncontrollable levels, only 10 of the 1218 Starlink V1.5 satellites SpaceX has launched have failed and prematurely reentered for technical reasons – a failure rate of 0.9%.

If SpaceX’s V1.5 satellites continue to demonstrate excellent reliability as they reach ages similar to their V1.0 predecessors, it will bode well for the sustainability and predictability of current and future Starlink constellations. Meanwhile, the roughly 2270 Starlink satellites that are currently operational continue to deliver internet services to hundreds of thousands of customers in countries around the world, improving the lives of countless people.
According to Next Spaceflight, SpaceX has up to five more Starlink launches scheduled this month as it continues to relentlessly pursue a record-breaking launch cadence with its Falcon 9 rocket. Up next, Starlink 3-3 could launch from California as early as August 12th. Photographer Ben Cooper reports that another East Coast Starlink mission is working towards a “mid-August” launch soon after.
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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.