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Boeing's astronaut capsule flies off course, fate uncertain after launch debut
Roughly 30 minutes after lifting off for the first time on a United Launch Alliance (ULA) Atlas V rocket, Boeing’s Starliner crew capsule suffered a major failure when it attempted to raise its orbit with onboard engines.
A few hours after the failure came to light, NASA and Boeing held a press conference to update members of the media on the situation, with the space agency offering some candid – if a bit odd – insight into Starliner’s anomalous launch debut. Before the spacecraft’s software threw a wrench into the gears, the plan was for Starliner to separate from ULA’s Atlas V Centaur upper stage and use its own thrusters to reach orbit and begin the trek up Earth’s gravity well to the International Space Station (ISS).
While it will likely take weeks or even months for Boeing and NASA to determine exactly what went wrong during the mission, preliminary information has already begun to paint a fairly detailed picture.
Around 15 minutes after liftoff, Starliner separated from the rocket as intended but it appears that things began to go awry almost immediately afterward. Most notably, according to NASA administrator Jim Bridenstine’s tweets and later comments, a very early look at the telemetry suggests that Starliner’s internal clock was somehow tricked into believing that the time was either earlier or later than it actually was.
Thinking that it was in the midst of a lengthy thruster firing meant to raise its orbit and send the spacecraft on its way to the space station, Starliner was thus focused on ensuring that it was pointed as accurately as possible. Although the space station is the size of a football field, in the vastness of space, rendezvousing with it is a bit like threading a needle. While firing thrusters to do so, spacecraft thus need to point themselves as accurately as possible.
While coasting before or after one of those orbit-boosting thruster firings, Starliner thought it was actually burning towards the space station and was thus very carefully controlling its orientation with a dozen or so smaller thrusters. In short, those unintentional thruster firings burned through a ton of Starliner’s limited propellant supply – enough to make it impossible (or nearly so) for the spacecraft to rendezvous and dock the ISS, a central purpose of this particular launch.
This ultimately means that Starliner is leaning heavily on the “test” aspect of this Orbital Flight Test (OFT), uncovering failure modes and bugs that Boeing was clearly unable to tease out with ground testing and simulation. While in a totally different ballpark, SpaceX similar Crew Dragon spacecraft suffered its own major failure earlier this year, although that capsule explosion occurred during intentional ground testing, whereas Starliner’s software failed during its high-profile launch debut and has severely curtailed the scope of the spacecraft’s first orbital flight test.
In fact, Bridenstine was unable to rule out the possibility that Boeing will have to attempt a second uncrewed orbital flight test (OFT) before Starliner will be qualified to launch the space agency’s astronauts. Although early signs suggest that Boeing will still be able to attempt to deorbit and recover the spacecraft a day or two from now, the fact that Starliner will not be able to perform critical demonstrations of its ISS rendezvous and docking capabilities will make it far harder for NASA to rationally certify the spacecraft for astronaut launches.
SpaceX’s Crew Dragon, for reference, completed a more or less flawless launch, orbit raise, and rendezvous before docking with the ISS. It’s almost impossible to imagine NASA giving SpaceX permission to proceed immediately into its first astronaut launch if Crew Dragon had failed to reach the proper orbit or dock with the space station.
Regardless, it’s far too early to tell whether Boeing will have to repeat Starliner’s OFT. If Starliner performs absolutely perfectly between now and its planned soft-landing in New Mexico, there might be a chance that NASA will still allow Boeing to effectively cut corners to its astronaut launch debut, but only time will tell.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
