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Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX) Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX)

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SpaceX’s Falcon 9 rocket wins commercial Moon lander launch contract

Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX)

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Intuitive Machines has selected SpaceX’s Falcon 9 workhorse to launch the company’s commercial Nova-C Moon lander as early as July 2021.

Funded in May 2019 as part of NASA’s Commercial Lunar Payload Services (CLPS), Nova-C is designed to deliver up to 100 kg (220 lb) of useful payload to the surface of the Moon. NASA hopes to take advantage of that capability to dramatically lower the cost of lunar science, exploration, and prospecting.

In May 2019, NASA awarded three separate CLPS contracts worth approximately $255M in a bid to fund the development and first launches of three commercial Moon landers. Orbit Beyond, a recipient of $97M, has since returned the money after indicating to NASA that they couldn’t follow through on their commitments, possibly related to the company’s close technological ties to already-built Indian Moon lander designs.

Regardless of that drama, two of the three awardees – Astrobotic and Intuitive Machines – remain intent upon becoming the first private company to perform a soft-landing on the Moon. Astrobotic’s Peregrine lander received $79.5M to Intuitive Machines’ $77M and both companies are working towards inaugural launches no earlier than (NET) July 2021.

In August, Astrobotic announced that Peregrine’s first lunar landing attempt would launch on the first flight of the United Launch Alliance’s (ULA) Vulcan Centaur rocket, meant to replace the Lockheed Martin-Boeing cooperative’s Delta IV and Atlas V vehicles. Although that decision likely saved Astrobotic a significant amount of money on Peregrine’s launch contract, it does mean that the lander will be under heavy threat of launch-side delays as ULA works to prepare Vulcan for its launch debut.

Intuitive Machines, on the other hand, has selected SpaceX’s Falcon 9 for the NET July 2021 launch debut of its Nova-C lander. Weighing ~1500 kg (3300 lb) at launch and designed to head to the Moon from Earth orbit, Falcon 9 will likely have plenty of room left for additional copassenger satellites.

SpaceIL’s Beresheet Moon lander is stacked on top of the PSN-6 communications satellite. (SpaceX)

Of note, SpaceX has already supported the launch of Israeli company SpaceIL’s Beresheet spacecraft in what was the first commercial Moon landing ever attempted. Launched in February 2019, the lander sadly failed just a few kilometers above the lunar surface, but the mission was still inspiring and a strong sign that – while no easy task – private companies can almost certainly land payloads on the Moon.

For now, Astrobotic and Intuitive Machines remain neck and neck in their separate bids to land on the Moon, paving the way for a good-old-fashioned race to the lunar surface.

https://www.youtube.com/watch?v=9Z6k9KWFwHg

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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Credit: xAI

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.

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“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.

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Credit: Grok Imagine

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:

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  • 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.

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Credit: @JoeTegtmeyer/X

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.

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