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SpaceX drone ship dodges high seas en route to first rocket landing of 2020
SpaceX has delayed the first orbital launch of the new year by a handful of days to allow both Falcon 9 and the drone ship it’s scheduled to land on the opportunity to dodge bad weather on the Florida coast and out in the Atlantic Ocean.
Originally scheduled to launch no earlier than December 30th, SpaceX delayed its next mission – Starlink-2 – to January 3rd for unknown reasons. Weather on the new date was unfortunately forecast to be terrible at SpaceX’s LC-40 launch pad and had a 60% chance of scrubbing the mission. SpaceX must have been at least as concerned about conditions for drone ship Of Course I Still Love You (OCISLY) in the Atlantic Ocean, as the company ultimately skipped over a 90%-GO backup window on January 4th for the latest launch target – January 6th.
Historically, only a few Falcon launches have been delayed for booster recovery purposes, but it’s been apparent that – while incredibly sturdy – some of the tacked-on equipment installed on SpaceX’s drone ships (modified barges) can be easily damaged by high seas. Perhaps more importantly, high seas (and thus a pitching drone ship deck) can make booster landings much riskier. Bad luck could easily cause a booster to cut off its landing burn at exactly sea level but still be a dozen or more feet above the drone ship’s deck if it’s coincidentally in the trough of a big swell, potentially destroying or damaging the rocket.
Ultimately, on missions where SpaceX has nothing to lose by delaying the launch, the company now puts a successful booster recovery much higher on its list of priorities. As recently as March 2018, SpaceX intentionally expended a new Falcon 9 booster because ocean conditions would have been extremely risky to OCISLY and crew and the company (or customer) had no interest in delaying the launch further to wait for calmer seas.
By all appearances, that is – for the most part – no longer the case. SpaceX would likely expend a rocket for a few days of schedule for high-priority customers like the USAF and especially NASA, where even a few days of delays could trigger several years of delays to quite literally wait for the planets to realign. It has and will continue to require a significant culture shift in the market for launch but SpaceX is clearly changing those norms and expectations bit by bit, to the point that the company was recently willing to delay Cargo Dragon launches for NASA to ensure that the mission’s Falcon 9 booster the best possible chance of recovery.
For an internal Starlink launch, delaying the mission to prevent drone ship damage and ensure Falcon 9 recovery is thus an absolute no-brainer. Starlink-2 is also partially unique because it will mark the second time a Falcon 9 booster launches for the fourth time, following on the footsteps of B1048 after it became the first booster to launch four times during SpaceX’s November 2019 Starlink-1 mission.
B1048 thus became SpaceX’s lone pathfinder for Falcon 9 booster reusability, hopefully providing excellent insight and some unequivocal physical data to determine the rocket’s health and readiness for a 5th launch. Still, even though the sample sizes available to even the most prolific orbital launch vehicles would make any statistician cringe, it’s safe to say that two data points are better than one, and B1049 – scheduled to launch for the fourth time on Starlink-2 – would thus be quite valuable to SpaceX’s recovery engineers and technicians.
Only one additional Falcon 9 booster – B1056 – has already flown three missions, meaning that SpaceX will – at best – likely have to suffice with three data points (B1048, B1049, B1056) before moving onto the next reusability milestone – launching the same booster five times. Ultimately, every time SpaceX pushes that envelope and demonstrates that Falcon boosters can be definitively reused 3 or 4 or 5 times, the company multiplies the number of launches its fleet of booster can perform by a factor of two.
For, say, the eight flightworthy boosters in SpaceX’s existing fleet, proving that a 4th reuse is possible will ultimately allow the company to squeeze an additional seven launches from existing hardware with almost zero capital investment. For now, the fourth flight of Falcon 9 boosters will remain cutting edge, but with more than three-dozen launches planned in 2020, it’s all but guaranteed that SpaceX will push the envelope of reusability like never before in the coming months.
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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
