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SpaceX Starlink satellite internet tested in the field in Antarctica
SpaceX’s Starlink internet continues to find success in Antarctica, Earth’s icy southernmost continent and has spread beyond McMurdo Station.
The company first reported that Starlink reached Antarctica as part of a National Science Foundation experiment in September 2022. The milestone also marked the satellite internet network’s arrival on all seven continents.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
A series of lasers
Just ~5% of the almost 3400 working Starlink satellites currently in orbit make coverage of Antarctica (and the Arctic) possible. SpaceX currently has 181 polar-orbiting satellites in operational orbits, likely providing a decent amount of coverage in polar regions. But that’s only a third of the 520 polar satellites SpaceX’s Starlink Gen1 constellation will have once complete, meaning that coverage is likely intermittent for the time being.
Those polar satellites must also use optical interlinks (lasers) to connect Antarctic users to ground stations hundreds or thousands of miles away, as the vast and sparsely populated continent has no Starlink ground stations. Instead, users are connected to the internet via space lasers that route their communications to and from ground stations in South America, Australia, New Zealand, and other nearby locales.
Studying the oldest ice on Earth
The general purpose of the Center for Oldest Ice Exploration (COLDEX) field experiment Starlink is aiding is to find the oldest ice on Earth. That old ice allows scientists to peer back tens of thousands, hundreds of thousands, or even millions of years back into Earth’s past. Most importantly for the modern era, that ice can contain shockingly detailed information about the history of Earth’s climate.
Researchers like Dr. Neff collect ice cores by drilling miles into Antarctic ice sheets. Once removed, packaged, and carefully shipped by plane to labs around the world, the data extracted from those ice cores can tell researchers how the Earth has responded in the past to major and minor changes in climate. Knowing how it has responded and behaved before has helped scientists around the world determine with near certainty that human greenhouse gas emissions are causing average global temperatures to increase at a relatively rapid pace. Further studies, like those being done now, may help specify what kind of changes we can expect as climates warm; allowing cities, countries, and humanity as a whole to prepare for the worst while (hopefully) trying to prevent those outcomes.
COLDEX began testing Starlink in the field in early December 2022. It’s not entirely clear if that testing is still ongoing, but Dr. Peter Neff appears to be optimistic either way. In a January 21st tweet, the assistant professor and field research director said that he was excited “to see how [Starlink] & other modes of high-speed connectivity can advance [science] communication [and]…alter how we do science on the ice.”
Finding a balance
The National Science Foundation has been a part of both Antarctic Starlink experiments, thus far, and finds itself in a unique position. Through funding and other means, the government agency is aiding efforts to test the limits of the SpaceX network and discover how it can benefit science (and improve life) in some of the harshest environments on Earth. Simultaneously, NSF holds a sort of supervisory role over other aspects of SpaceX’s Starlink constellation.
For the most part, that relationship is on an even keel and SpaceX has been highly forthcoming and happy to cooperate. Even without any explicit legal requirement, SpaceX has made wide-reaching changes to its satellites and continues to experiment with ways to reduce their brightness to ground observers and limit their impact on astronomy. Nonetheless, the FCC’s decision to tie SpaceX’s next-generation Starlink Gen2 constellation license with its cooperation with the NSF has given the latter agency a bit more regulatory power than it had before.
That arguably makes the involvement of the NSF (or NSF-funded researchers) in testing Starlink’s ability to benefit science even more important. Knowing firsthand how impactful the ability to access high-bandwidth internet can be in the field and at remote camps, the NSF should be better suited to make the kind of cost-benefit analyses required to determine how much of an impact (on the night sky and astronomy) is acceptable relative to the benefits Starlink can provide.
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
