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Boeing, NASA attempt Starliner landing after missing intended orbit
During the early morning hours of Friday, December 20th, at Space Launch Complex – 41 at Cape Canaveral Air Force Station United Launch Alliance successfully launched a uniquely configured, rated for human spaceflight Atlas V rocket topped with the Boeing Starliner crew capsule to complete its inaugural Orbital Flight Test to the International Space Station (ISS).
However, following the stunning sunrise launch and successful spacecraft separation, Starliner experienced an anomaly with an automated mission event timer which hindered a crucial orbital insertion burn from being completed.
The missed burn and the resulting domino effect of consequences cut Starliner’s journey short. In a joint media teleconference held Saturday, December 21st including NASA Administrator Jim Bridenstine, Boeing senior vice president of Space and Launch Jim Chilton, and deputy manager of NASA Commercial Crew Steve Stich, it was confirmed that just 48 hours following launch Starliner is expected conclude the test flight and return for a controlled landing at White Sands Missile Range in New Mexico.
Initially, Starliner was expected to spend approximately 8 days docked on orbit with the ISS for a return journey tentatively scheduled to occur on December 28th. The lack of orbital insertion and consequential overuse of fuel consumed by smaller incremental burns performed throughout the day on Friday to place Starliner in a safe orbit all but guaranteed that the spacecraft would miss its opportunity to rendezvous and autonomously dock with the ISS, a pivotal objective of the orbital test flight. A fact that was later confirmed on Twitter by Bridenstine.
During the teleconference, Starliner was described as a healthy spacecraft that had in fact achieved circular safe orbit approximately 250km above sea level, lower than would have been achieved had the initial burn occurred as planned. As docking with the ISS was completely out of reach and Starliner remained under tight constraints of how long it could maintain free orbital flight, Boeing and NASA teams jointly decided to bring Starliner home as soon as possible.
While Starliner remained on orbit Friday and Saturday, flight controllers completed many OFT mission objectives. A number of the achievements were outlined in a statement posted to Boeing’s Starliner updates webpage.
“Entry, descent, and landing is not for the faint of heart.” – Jim Chilton
While many OFT mission objectives were successfully met during the dramatically cut short mission the entire goal of Starliner still remains. After all, Starliner is designed to ferry human astronauts safely to and from the ISS. A huge part of that is re-entering the Earth’s atmosphere and landing under survivable conditions.
Enough of Starliner’s fuel was preserved to afford multiple opportunities to safely land. Two opportunities to land at the planned site of White Sands Space Harbor on the White Sands Missile Range in New Mexico. This location may sound familiar as it is the same location where a different Starliner test capsule recently completed a pad abort test.
NASA and Boeing teams are targeting a landing attempt on Sunday 7:57 am EST (1257 GMT). Should it be needed a backup landing attempt at 3:48 pm EST (848 GMT) in the same location is also available. An anthropomorphic test dummy dressed in Boeing’s recognizable blue spacesuit inside the capsule nicknamed “Rosie the Rocketeer” is wired up with sensors to collect data reflecting the conditions a human astronaut would experience during descent.
NASA will livestream the landing attempt and recovery efforts on NASATV beginning at 5:45 am EST (1045 GMT).
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
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.
News
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.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
