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SpaceX Starlink ‘space lasers’ successfully tested in orbit for the first time
SpaceX has revealed the first successful test of Starlink satellite ‘space lasers’ in orbit, a significant step along the path to an upgraded “Version 2” constellation.
In simple terms, those “lasers” are a form of optical (light-based) communication with an extremely high bandwidth ceiling, potentially permitting the wireless, high-speed transfer of vast quantities of data over equally vast distances. Of the ~715 Starlink satellites SpaceX has launched over the last 16 months, some 650 are operational Version 1 (v1.0) spacecraft designed to serve a limited group of customers in the early stages of the constellation. Prior to SpaceX’s September 3rd announcement, it was assumed that none of those satellites included laser interlinks, but now we know that two spacecraft – presumably launched as part of Starlink-9 or -10 in August – have successfully tested prototype lasers in orbit.
Ever since CEO Elon Musk first revealed SpaceX’s satellite internet ambitions in early 2015, those plans have included some form of interconnection between some or all of the thousands of satellites the company would need to launch. While a functional low Earth orbit (LEO) satellite internet constellation doesn’t intrinsically need to have that capability to function or be successful, inter-satellite links offer some major benefits in return for the added spacecraft complexity and cost.
The single biggest draw of laser interlinks is arguably the major reduction in connection latency (ping) they can enable compared to a similar network without it. By moving a great deal of the work of networking into orbit, the data transported on an interlinked satellite network would theoretically require much less routing to reach an end-user, physically shortening the distance that data has to travel. The speed of light (300,000 kilometers per second) may be immense but even on the small scale of the planet Earth, with the added inefficiencies inherent in even the best fiber optic cables, routing data to and from opposite ends of the planet can still be slowed down by high latency.
Without interlinks, Starlink and internet constellations like it function by acting more like a go-between for individual users and fixed ground stations that then connect those users to the rest of the Internet. Under that regime, the performance of constellations is inherently filtered through the Earth’s existing internet infrastructure and is necessitates the installation of ground stations relatively close to network users. If a satellite without interlinks can ‘see’ (and thus communicate with) customers but can’t ‘see’ a ground station from the same orbital vantage point, it is physically incapable of connecting those communications with the rest of the internet.
This isn’t a showstopper. As SpaceX’s very early Starlink constellation has already demonstrated through beta testers, the network is already capable of serving individual users 100 megabits per second (Mbps) of bandwidth with latency roughly comparable to average wired connections. The result: internet service that is largely the same as (if not slightly worse and less convenient than) existing fiber options. To fully realize a LEO internet constellation’s potential of being much better than fiber, high-performance laser interlinks are thus a necessity.
With laser interlinks, the aforementioned connection dropout scenario would be close to impossible. In the event that an active satellite finds itself serving customers without a ground station in reach, it would route those forlorn data packages by laser to a different satellite with immediate ground station access. One step better, with enough optimization, user communications can be routed by laser to and from the ground stations physically closest to the user and their traffic destination. With a free-floating network of satellites communication in vacuum along straight lines, nothing short of a direct, straight fiber line could compete with the resulting latency and routing efficiency.
Interlinks offer one last significant benefit: by sacrificing latency, an interlinked network will be able to service a larger geographic area by allowing the connections of users far from ground stations to be routed through other satellites to the nearest ground station. Large-scale ground station installation and the international maze of permitting it requires can take an inordinate amount of time and resources for nascent satellite communications constellations
SpaceX’s fully-interlinked Starlink Version 2 constellation is targeting latency as low as 8 milliseconds and hopes to raise the bandwidth limit of individual connections to a gigabit or more. As soon as a viable Starlink v2.0 satellite design has been finalized and tested in orbit, SpaceX will likely end v1.0 production and launches, entering the second phase of iteration after the v0.9 to v1.0 jump.
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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
