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SpaceX's next Crew Dragon launch is delayed but that's actually good news
NASA says that SpaceX’s next big Crew Dragon flight test has slipped a bit further into 2020, a counterintuitively positive sign that the human-rated spacecraft’s next launch is firmly scheduled for the first month of the next decade.
Known as Crew Dragon’s In-Flight Abort (IFA) test, SpaceX opted to include the mission in its Commercial Crew contract, a decision NASA chose to leave up to its providers. Boeing, for example, chose not to perform a real-world in-flight abort test of its Starliner spacecraft, instead relying on a pad abort test and digital modeling to determine the spacecraft’s capabilities. NASA allowed this flexibility because it believes – at least theoretically – that it should be possible to determine whether a spacecraft can perform the most challenging abort scenarios without actually doing full-fidelity flight tests.
Given that NASA chose to perform an extremely expensive full-fidelity in-flight abort test with its own Orion spacecraft just a few months ago, one can’t exactly say that the space agency has chosen to reap what it’s sown, but with any luck, the Starliner spacecraft will never have to perform such an abort and find out how close Boeing’s modeling is to reality.
It’s also worth noting that despite the fact SpaceX elected to perform an extra abort test that will likely destroy an entire Falcon 9 rocket, Crew Dragon development will cost NASA $2 billion (40%) less than Starliner, while each operational Crew Dragon launch will also cost some $250 million (39%) less than a comparable Starliner launch.
As of December 18th, NASA says that SpaceX’s In-Flight Abort (IFA) test has slipped a week from January 4th to January 11th, 2020. Counterintuitively, that delay is actually an extremely encouraging sign that Crew Dragon’s next launch is quite firmly set for the first month of 2020. For reference, as NASA and SpaceX approached Crew Dragon’s Demo-1 orbital launch debut earlier this year, the mission was initially set for January 17th. Around three weeks later, NASA announced that Demo-1 had slipped to no earlier than (NET) “February”. Four weeks after that delay, NASA once again announced another delay to March 2nd, which would turn out to be the day that Crew Dragon really did reach orbit for the first time.
On the other hand, IFA – Crew Dragon’s second launch – had its first firm launch date (January 4th) announced by NASA on December 6th, 2019. Less than two weeks later, NASA says that the launch date has slipped by exactly one week to January 11th, less than four weeks from today. It’s entirely possible that SpaceX’s IFA test will slip further into 2020 in the coming weeks, but compared to Crew Dragon’s Demo-1 mission, both NASA and SpaceX appear to be far more confident in the schedule for Crew Dragon’s second launch.
Regardless of when exactly it lifts off, Crew Dragon’s In-Flight Abort is going to be an extremely challenging test for the spacecraft. Designed to simulate a near-worst-case abort scenario during launch, SpaceX will essentially trick Dragon into believing that Falcon 9 has failed around a minute and a half after launch. At that point, the rocket and spacecraft will be traveling as fast as Mach 2.5 (860 m/s, 1900 mph) and experiencing what is known as Max Q, the point of peak aerodynamic stress (referring to heating, buffeting, pressure, and more).
At that exact point, Crew Dragon capsule C205 will ignite all eight of its SuperDraco abort engines, almost instantaneously producing 130,000 lbf (570 kN) of thrust to send the spacecraft almost a kilometer (0.5 mi) away from Falcon 9 in just a few seconds. If Crew Dragon survives the ordeal, it will quickly detach its trunk section, flip around to face its heat shield towards the ground, and ultimately deploy parachutes before gently landing in the Atlantic Ocean.
SpaceX plans to recover and reuse the otherwise orbit-worthy capsule on a future mission, likely one of the company’s upcoming CRS2 space station resupply launches. Finally, if everything goes exactly as planned during the In-Flight Abort test and both NASA and SpaceX see no issues with the flown hardware or data the test produces, Crew Dragon Demo-2 – the spacecraft’s first astronaut launch – could potentially be ready for flight as early as February or March 2020.
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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
