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Boeing’s Starliner slightly delayed, but ready for launch
Boeing and NASA have once again delayed Starliner’s Crewed Flight Test to no earlier than May 1st, 2024.
The launch was originally targeted for mid-April, but this time, scheduling at the International Space Station is the reason for the delay, as the orbiting outpost is fairly busy at the moment.
There are currently 7 vehicles docked at the Space Station, including two Dragon capsules, a Cygnus resupply freighter, and 4 Soyuz capsules (2 Crew, 2 Cargo), so it’s understandable why NASA and Boeing would want to push the Starliner launch just slightly.
Boeing took a major step towards the launch of Starliner’s first crewed flight test when it began fueling the service module and crew capsule. This will enable the capsule to conduct burns to control itself while in orbit.
The capsule assigned to this mission is Spacecraft 3, aka Calypso, which flew the first Orbital Flight Test in 2019 and was unable to make it to the ISS due to numerous issues that arose after separating from the Atlas V second stage.
Starliner takes flight for the first time during OFT-1 in 2019 (Credit: Richard Angle)
For the first Crewed Flight Test, there will be 2 experienced NASA astronauts onboard. Commander Barry Wilmore and Pilot Sunita Williams. They will both be making their 3rd trip to space.
The current pair weren’t the first astronauts assigned to CFT-1, due to the ongoing delays, at various points, 4 other astronauts were assigned to the test flight, including Nicole Mann who ended up switching over to Crew 5 and taking a Crew Dragon capsule to the ISS.
During this most recent delay, Boeing took the time to finish removing the insulating tape that was found to be flammable, finish software reviews, and review a new soft link in the parachute system. The soft link is what connects the main line from the capsule to the risers up to the canopy.
There are currently no items under review that could potentially cause further lengthy delays.
During a recent press conference at NASA’s Johnson Space Center, Flight Director Steve Lammers detailed what to expect before the flight.
The crew will perform a dry dress rehearsal, similar to what SpaceX does with Crew Dragon. However, the test will be completed inside United Launch Alliance’s Vertical Integration Facility, not at the launch pad.
The day before launch, the Atlas V rocket with Starliner stacked on top will be moved to the launch pad. In the last launch attempt, the rocket sat at the launch pad for a few days, enduring Florida thunderstorms, which led to moisture collecting in some of the Service Modules valves, causing a very significant delay to the Starliner program.
Starliner at LC-41 before the first OFT-2 attempt (Credit Richard Angle)
The hatch will be closed 1 hour and 24 minutes prior to launch, with the pad being cleared about with ~50 minutes remaining in the countdown.
This will be the first mission controlled by Houston after lift-off since the last Space Shuttle mission, STS-135.
There will be no live video from the capsule during ascent and transit to the ISS, Ed Van Cise, Starliner rendezvous flight director said the system is lacking the connection from the data to a transmission system. The recorded video will be downlinked after the capsule is docked.
The crew will dock with the ISS 24 hours after lift-off after conducting numerous tests of the Starliner systems.
The capsule will stay docked with the Space Station for a minimum of 8 days.
After undocking, the crew will perform more tests ahead of the de-orbit burn and eventual landing in the Western United States.
The capsule will land under parachutes, and the airbags will deploy just before touchdown to provide a soft landing for the crew.
All in all, this mission has been a long time coming for the company. The original contract called for six flights, and with the Atlas V being retired, there are currently no other human-rated launch vehicles (that are compatible) to launch Starliner, and if NASA wants to extend that contract with Boeing, ULA would need to get the approval to launch Starliner on Vulcan.
Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.
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
