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SpaceX shifts Falcon 9 booster from landing pad to drone ship after anomaly
SpaceX officially confirmed that it will move the location of a Falcon 9 booster’s post-launch recovery in order to better preserve the site of Crew Dragon’s catastrophic April 20th failure.
Instead of returning the booster to one of SpaceX’s two Cape Canaveral Landing Zones (LZs), SpaceX has applied for an FCC permit to land the rocket less than 20 miles (~30 km) off the coast of Florida on the drone ship Of Course I Still Love You (OCISLY). The culprit for the last-second change of plans is a catastrophic failure of Crew Dragon that spread debris throughout SpaceX’s Landing Zone facilities, debris that will now be critical for the process of anomaly resolution. Landing a Falcon 9 booster at LZ-1 or 2 would invariably spread Crew Dragon’s debris and complicate the failure investigation even further.
Much like a tornado passing through a crime scene would likely hamper the value of that crime scene and any related investigations, a Falcon 9 booster landing at the scene of a fresh accident investigation would be an extremely unwelcome complication. Even with just one Merlin 1D engine firing during a Falcon 9’s landing burn, the engine exhaust departs the nozzle traveling approximately 2.7 km/s (1.7 mi/s) and could easily send Crew Dragon remnants hundreds or even thousands of feet away and incinerate smaller debris. Given that Crew Dragon’s explosion appears to have been highly energetic, many, many pieces will already be spread many hundreds – and perhaps thousands – of feet around the incident.
Crew Dragon is an extremely complex spacecraft. Even the tiniest of fragments could potentially be critical to the successful completion of the explosion investigation, especially if the fault began somewhere in capsule C201’s many hundreds of feet of plumbing. The pipes, valves, and pumps that make up Crew Dragon’s propellant management system have many hundreds (if not thousands) of small parts that must work without issue to safely pressurize and handle the spacecraft’s hypergolic propellant.
Cargo Dragon set for launch
Despite Crew Dragon’s serious failure and the need to change Falcon 9’s booster recovery plans at the last moment, SpaceX still appears to be working to maintain the planned launch date. The instantaneous window is set for 4:22 am ET (08:22 UTC), April 30th, delayed five days from the original April 25th target. Based on an update provided by NASA last week, those delays are the result of International Space Station (ISS) scheduling and additional time needed for payload preparations. Orbital-ATK’s (now “Northrop Grumman Innovation Systems” or NGIS) uncrewed Cygnus spacecraft successfully berthed with the ISS on April 19th, followed by the station’s astronauts unloading the three metric tons of cargo it contained over the next several days.
Once Cygnus operations have been completed, the ISS astronauts will be able to start preparing for Cargo Dragon’s CRS-17 resupply mission, likely carrying another three or four metric tons of pressurized cargo. Although the logistics of unloading, unpacking, and stowing the contents of hundreds of packages of consumables, hardware, tools, science experiments, and more is not exactly thrilling, the reality is that the task takes a surprising amount of time and care. Of the maximum six astronauts aboard the ISS at any given moment, only a few of them are able to focus exclusively on the cargo logistics at the same time as time-sensitive science experiments must be immediately set up to avoid ruining the data produced. Furthermore, although the ISS is truly massive, there are only a handful of berthing and docking ports and the actual habitable volume can be cramped, as are the ports between the station and visiting spacecraft.
An unknown Falcon 9 booster – perhaps B1056 – will perform a routine static fire test at SpaceX Launch Complex 40 (LC-40) five or so days before launch, likely within the next 48 hours. Soon after, Falcon 9 will be mated with CRS-17’s flight-proven Cargo Dragon capsule and expendable trunk before rolling back out to LC-40. If the FCC works fast and grants SpaceX’s updated booster recovery license in the next few days, CRS-17 should remain on track for an April 30th launch.
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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
