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SpaceX’s Falcon 9 could launch multiple private Moon landers in the 2020s
NASA has announced awards worth $253M for three commercial Moon landers, scheduled to attempt their first lunar missions as early as 2020 or 2021. SpaceX’s Falcon 9 rockets is reportedly scheduled to launch at least two of the three spacecraft.
Known as the Commercial Lunar Payload Services (CLPS), the NASA program was created in 2018 to both take advantage of and expand a small undercurrent of commercial lunar spacecraft development. Including NASA’s latest awards, more than half a dozen companies are now seriously pursuing the production of commercial or partially commercial Moon-bound spacecraft, all with launch debuts sometime in the early 2020s. For the majority of those companies, the mixture of performance and affordability offered by SpaceX’s Falcon 9 is a critical enabler.
A waxing Moon
Although the practical motivations are unclear (if not nonexistent), a moderately organized return to the Moon is undeniably in the political air thanks to the European Space Agency’s (ESA) interest in a “Moon Village” and NASA’s own crewed “Artemis” program. Both are chronically conceptual, underfunded, over-ambitious, and to be preceded by far more realistic public-private partnerships that aim to land maybe 10-100 kg of usable payload on the Moon in the next 2-5 years.
Launched as a Falcon 9 rideshare passenger, a partnership between Israel’s IAI and SpaceIL became the first commercial team to orbit the Moon with its Beresheet spacecraft but fell just shy of a successful landing due to a fairly minor software issue. SpaceIL/IAI have already begun planning a follow-up attempt.
| Company | Spacecraft | Launch Vehicle | Launch Date |
| OrbitBeyond | Z-01 | Falcon 9 | Q3 2020 |
| iSpace | HAKUTO-R | Falcon 9 | mid-2020 |
| Intuitive Machines | Nova-C | Falcon 9 | Q3 2021 |
| Astrobotic | Peregrine | Atlas V? | Q3 2021 |
| SpaceIL/IAI | Beresheet 2 | TBD | TDD |
| PTScientists | ALINA | Falcon 9? | TBD |
| Moon Express | MX-1 | TBD | TBD |
Thanks to SpaceX, Spaceflight, and SpaceIL’s successful demonstration of rideshare launch services as a viable method of sending spacecraft to the Moon, Falcon 9 (and perhaps Falcon Heavy) have been set up as excellent choices for any future commercial Moon landers. Given that 3 or 4 of the 5 landers with known launch vehicles are at least tentatively manifested on Falcon 9s, it’s clear that the industry is also aware of this fact.
Although most of the above companies have more ambitious (and thus larger) next-generation vehicles planned, it’s likely that all of the above launch debuts will be light enough to ride as copassengers on rockets like Falcon 9, Atlas V/Vulcan, or Ariane 5/6. At least for some of the companies aiming for the Moon, technical success could be quickly followed by commercial services that would offer regular launches to the lunar surface. Several companies have hinted at payload costs as low as $1-2M per kilogram delivered, an understandable premium that could actually transform commercial lunar transport services into a viable business.
Whether that market develops, the first burst of commercial landing attempts is set to make 2020 and 2021 an exciting time for both public and private space exploration.
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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.
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.
News
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
