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Elon Musk gifts SpaceX Starship angel investor a piece of Starhopper history
According to photos posted by the Japanese investor, SpaceX CEO Elon Musk has gifted Yusaku Maezawa a significant piece of Starhopper history, a celebration of the rocket prototype’s successful flight tests and a gesture of thanks for Maezawa’s substantial support.
Back in September 2018, Musk revealed that Japanese billionaire Yusaku Maezawa had become the first true customer for SpaceX’s next-generation Starship launch vehicle. In fact, Maezawa announced DearMoon, a private spaceflight venture with the aim of sending a dozen or so artists on the first commercial crewed mission around the Moon – all for free.
In a bid to assist Starship development and simultaneously secure rights to the massive spacecraft’s first crewed lunar launch, Maezawa committed what is believed to be several hundred million dollars of his personal fortune to SpaceX. In turn, the Japanese billionaire plans to select roughly a dozen artists from around the world and offering them a free ticket aboard Starship’s first crewed circumlunar launch, traveling once around the Moon and returning to Earth after 10 or so days in space.
Perhaps just a few weeks after the DearMoon announcement and Starship event, SpaceX CEO Elon Musk decided to radically change the Starship program, entirely replacing the vehicle’s main structural material of choice – carbon fiber composites – with stainless steel. The primary goal was to dramatically lower the cost of development and vehicle production and speed things up, but Musk quickly realized that steel could unintuitively be better than carbon fiber in almost every way.
After Musk’s decision, SpaceX pivoted from carbon fiber to steel at a spectacular pace. Barely six months after the design change, a SpaceX team had built up its Boca Chica, Texas facilities from almost nothing, begun to build full-scale steel hardware, and nearly completed the first low-fidelity prototype, known as Starhopper. That vehicle began propellant loading and wet dress rehearsal testing in early-April 2019 and although technical difficulties with its next-generation Raptor engines caused several months of delays, it moved into its first flight test campaign three months later.
Starhopper’s first untethered flight was completed successfully on July 25th, reaching an apogee of ~18 meters (60 ft). A little over one month later, Starhopper lifted off for the second time on a significantly more ambitious ~150m (500 ft) flight test, completed successfully after about 60 seconds in flight. That second test would be Starhopper’s last and SpaceX quickly turned its focus to completing the first full-scale, full-fidelity Starship prototypes, known as Mk1 (TX) and Mk2 (FL).
Throughout this process, Yusaku Maezawa has followed along with SpaceX. Rather than a simple lump-sum agreement, the billionaire’s contract with SpaceX is structured much more specifically, essentially allowing the company to unlock additional funding after certain milestones – like Starhopper’s flight tests – are completed. The arrangement is more of a carrot on a stick than something dead-serious – Maezawa is probably not going to completely withhold funding if SpaceX slightly misses exact targets or suffers anomalies during a complex launch vehicle development program.
In order to complete its two flight tests, Starhopper needed some kind of attitude control system (ACS) to remain stable and SpaceX chose a decidedly SpaceX-y solution, simply bolting on flight-proven Falcon 9 thruster pods. Those pods use high-pressure nitrogen to change Falcon 9’s attitude, correctly point the rocket, and settle its propellant while the rocket is in a vacuum (or freefall). They can also provided limited control authority in atmosphere, which is what SpaceX used them for on Starhopper.
As a gesture of gratitude for Maezawa’s extremely helpful financial support, SpaceX gifted him an entire Starhopper thruster pod. SpaceX often does similar things for major flight milestones, creating commemorative gifts out of retired hardware (rocket tanks, engine bells, grid fins, parachute threads, etc.) that employees are able to purchase. An entire thruster pod is at least a few orders of magnitude above that, a sign of just how grateful SpaceX is to Maezawa.
Of note, in his tweet showing off the thruster pod, Maezawa suggested that “Starship development is going better than expected”, indicating that he may “need to invite a passenger soon” for his planned circumlunar voyage around the Moon. Prior to Starship’s radical shift from carbon fiber to steel, that mission was scheduled no earlier than 2023. In recent months, SpaceX executives have made it clear that they are now targeting Starship Moon landings by 2022, suggesting that the first circumlunar missions – a far easier task than landing – could be possible even sooner than that.
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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
