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SpaceX eyes multiple Starship lunar landings before first NASA Moon mission
SpaceX Director Nick Cummings says that the company could potentially attempt multiple uncrewed Starship lunar landings before the first attempt at landing NASA astronauts on the Moon.
In April 2020, NASA announced the first commercial contract recipients under its new Human Landing System (HLS) program, awarding almost $1 billion in an uneven split between Dynetics, Blue Origin’s “National Team”, and SpaceX. While an undeniable boon for Dynetics, SpaceX’s inclusion arguably came as the biggest surprise, marking NASA’s first serious investment in Starship – the company’s next-generation, fully-reusable launch vehicle.
NASA’s goal: develop one or more competing human-rated Moon landers capable of landing astronauts on the lunar surface and safely returning them to an Orion spacecraft in lunar orbit. Towards that end, the space agency awarded Blue Origin’s “National Team” (including Draper, Lockheed Martin, and Northrop Grumman) $567 million to develop a massive and complex three-stage system, using Blue Origin’s conceptual Blue Moon lander for the final descent stage. Dynetics received $253 million to build a slightly simple single-stage lander, while SpaceX received $135 million to work on a single-stage Starship-derived vehicle.
It’s never been entirely clear what returns NASA expects from its initial ~$970 million investment – no trivial sum. It’s also unclear why there is such a discrepancy between the three rewards. Regardless, as of October 2020, all three competitors have successfully passed what NASA describes as a certification baseline review (CBR), laying out explicit deliverables (“acceptance criteria and products”).*
*As a side-note, if the three contracts NASA awarded involve the same deliverables, the space agency’s first HLS awards serve as yet another reminder that SpaceX’s competitors are almost inconceivably inefficient – almost 2x cheaper than Dynetics and more than 4x cheaper than Blue Origin, Lockheed Martin, Northrop Grumman, et al.
Regardless, one thing is abundantly clear: whether or not NASA’s first phase of HLS rewards anticipated it, SpaceX is the only provider performing actual integrated tests with full-scale Starship prototypes. Since NASA’s April 30th award, SpaceX has successfully completed two hop tests with two separate full-scale Starships, powered by a single off-center Raptor engine that may already serve as a real-world demonstration for a strategy SpaceX could use to gently land Starships on the Moon.
In an intriguing change of pace, NASA says that it will ultimately downselect to two of its three prospective providers, whereas past messaging has heavily implied that more than one winner was extremely unlikely. The space agency now wants to make that decision no earlier than Spring (i.e. April) 2021 with the intention of awarding contracts for demonstration flights from both providers: one to fly in 2024 and the other in 2025.
Meanwhile, over the last several months, Dynetics and Blue Origin have made significant noise over their respective reveals of what essentially amount to toy-like mockups of their proposed Moon lander systems. Blue Origin is technically making good progress testing Blue Moon’s BE-7 engine, but that’s the full extent of known hardware in work between both the National Team and Dynetics. SpaceX, on the other hand, appears to be assembling some kind of Lunar Starship mockup out of real hardware, including an off-spec steel nose and – potentially – one of two functional, flight-proven Starship prototypes. The company has also built and tested no less than 39 full-scale Raptor engine prototypes in the last ~18 months.
Ultimately, all three providers have now confirmed that in the event of winning flight test contracts, they are explicitly planning at least one uncrewed Moon landing before attempting to deliver NASA astronauts to and from the lunar surface. If NASA manages to secure future HLS funding from Congress, the next several years are bound to be jam-packed with lunar spaceflight development and exploration.
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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.
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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.
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
