News
SpaceX and NASA defeat Blue Origin’s Starship Moon lander lawsuit
While specific details of the decision are likely a few weeks away, the US Court of Federal Claims has denied an infamous Blue Origin lawsuit, upholding NASA’s decision to award SpaceX a contract to create a Starship-derived Moon lander.
The ruling ends almost seven months of delays explicitly caused by protests and lawsuits filed by competitors Dynetics and Blue Origin. Protests were first filed with the US Government Accountability Office (GAO) about a week after NASA announced in April 2021 that SpaceX would build the Human Landing System. Both protests were denied in July but Blue Origin ultimately chose to double down and filed a lawsuit against NASA and SpaceX in August, kicking off a process guaranteed to cause several more months of delays.
NASA’s decision to contract with SpaceX alone defied most expectations, especially when the space agency ultimately explained that SpaceX’s Starship proposal was half the price of the next best option while simultaneously offering better management and more convincing technical expertise. More importantly, rather than attempting to deliver the bare minimum specifications NASA requested from HLS bidders, SpaceX’s Starship Moon lander went above and beyond, enabling potentially revolutionary performance magnitudes better than Blue Origin or Dynetics’ offerings.
Based on their redacted GAO protests, both of which contained a litany of frivolous arguments and dubiously relevant and self-unaware jabs at SpaceX, Blue Origin and Dynetics were furious about their losses. Aside from one minor nitpick, GAO wholly denied both protests, at which point Blue Origin took the matter to federal court rather than slink home, tail between its legs. In the interim between protest filing and GAO’s decision, Blue Origin also repeatedly tried to go behind NASA’s back by having sympathetic members of Congress tack on amendments to unrelated bills that would have forced the space agency to select a second HLS lander without guaranteeing the additional funding needed to pay for it.
Blue Origin owner and former Amazon CEO Jeff Bezos even sent an unsolicited letter and proposal to NASA offering to pony up $2B of the ~$6B it requested to develop a NASA Moon lander. SpaceX, on the other hand, did what NASA’s HLS request for proposal (RFP) explicitly asked of bidders and proposed to pay half of its Starship lander development costs in its original proposal, while Blue Origin instead attempted to milk as much money from NASA as possible under the delusional premise that NASA would then negotiate for a cheaper deal (illegal under basic contracting rules).
Later on, weeks into the lawsuit, redacted court filings revealed that Blue Origin had abandoned most of the arguments it put forth in its GAO protest and was instead leading with the claim that a few minor (but potentially valid) violations of contracting rules made by NASA and SpaceX in their limited post-award negotiations. It’s now clear that the presiding judge was far from convinced by that argument, instead ruling entirely in SpaceX and NASA’s favor and upholding the space agency’s HLS procurement process.
It remains to be seen if the judge was at all swayed by any of the several arguments Blue Origin threw at the wall, something that the court’s final redacted decision will hopefully clarify when it’s released around November 18th. In the meantime, it’s unclear when exactly NASA and SpaceX will be able to finally get back to work on HLS. Prior to the court’s decision, NASA’s voluntary stay of performance – preventing collaboration with SpaceX on its HLS contract – was scheduled to expire on November 8th.
The brief decisions can be read here (PDF) and here (PDF).
News
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
