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SpaceX gets first taste of coronavirus epidemic's consequences
SpaceX’s next scheduled rocket launch has been indefinitely delayed after Argentina – responsible for the SAOCOM 1B satellite payload – put strict travel restrictions in place, the first sign of the coronavirus epidemic’s consequences for the company.
Previously expected to launch as early as March 30th, the ~3000-kg (6600 lb) SAOCOM 1B radar satellite departed its Bariloche production facilities and arrived at Cape Canaveral around February 23rd, around the same time pandemic impacts began to be felt outside of China. Now likely sitting in a SpaceX payload processing facility at Cape Canaveral Air Force Station (CCAFS), it appears that SAOCOM 1B will have to wait for the foreseeable future before teams from Argentina and other countries are able to access the spacecraft and prepare it for launch.
While the delay is unfortunate, it hardly comes as a surprise at the same time dozens of countries around the world are considering – or already enacting – extreme countermeasures to mitigate the damage that will be caused by the COVID-19 pandemic. Thankfully, once Argentinian space agency (CONAE) employees are able to prepare SAOCOM 1B for flight, the mission is still set to make history, marking the first time a rocket launches on a polar trajectory from the United States’ East Coast in more than a half-century. In the meantime, SpaceX – while not deriving any income – also has ways of potentially taking advantage of a bad situation and exploiting unexpected downtime as a result of customer delays.
In October 2018, SpaceX successfully launched SAOCOM 1B’s predecessor – SAOCOM 1A – from its Vandenberg Air Force Base (VAFB) facilities, using a West Coast landing pad (LZ-4) for the first time ever. The spacecraft has successfully operated in space ever since, serving scientists, farmers, and more with high-quality satellite radar and Earth observation data.
Planned as a two-satellite constellation, CONAE spent another 15 or so months manufacturing and assembling the sister spacecraft, reaching the integration completion milestone in December 2019. After completing a few additional mechanical and electrical tests to verify the satellite’s health in January and February 2020, SAOCOM 1B was loaded aboard a Russian Antonov cargo plane and flown directly to Florida’s Kennedy Space Center (KSC), landing at the same runway NASA’s Space Shuttle once used.
Shortly after the growing global pandemic began to bare its teeth, the Argentinian government made the decision to almost completely ban international travel for the time being, while citizens now face heightened restrictions in a bid to legally enforce social distancing precautions. A scientific satellite launch has unsurprisingly not won exemption rights, meaning that it’s now all but impossible for the Argentinian space agency to send people and supplies back and forth from Florida – a necessity for something as complex as a satellite launch campaign.
As such, SpaceX’s SAOCOM 1B launch will be delayed until Argentina is able to loosen domestic and international travel restrictions – the timeline for which is anyone’s guess.
Bittersweet lemonade
Prior to the commercial mission’s indefinite delay, SpaceX’s seventh dedicated Starlink and sixth v1.0 satellite launch – Starlink L7 or Starlink V1 L6 – was expected no earlier than (NET) April 2020, sometime shortly after SAOCOM 1B’s NET March 30th launch. However, CEO Elon Musk and a second executive recently revealed that SpaceX is building Starlink satellites faster than it can launch them – churning out as many as six spacecraft in a single day.
Previously proposed on Teslarati, SpaceX may thus have a substantial backlog – ranging from one to several launches worth – of satellites that are ready for flight and either waiting for transport or already in Florida. In 2020, SpaceX has completed four 60-satellite Starlink launches in ~11 weeks, averaging a bit less than three weeks per mission. Even if SpaceX’s Starlink factory only averages 4-5 satellites per day each month, that would mean that the company is still building at least 20-40 extra satellites for each batch of 60 it launches.
In other words, if a separate Falcon 9 booster, upper stage, and payload fairing are already prepared for launch or SAOCOM 1B customer CONAE is willing to let SpaceX use its rocket (much less likely), the company could feasibly replace the mission on its manifest with an internal Starlink launch. This would reduce the amount of time the company’s workforce is listless as a result of the pandemic – a move that wouldn’t save money, per se, but would more efficiently distribute resources that will otherwise be wasted. For now, though, we – and the rest of the world – will have to wait and see.
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
