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SpaceX’s first Starship booster a step closer as custom parts arrive
While SpaceX remains focused on Starship flight testing as the dust settles from SN8’s launch debut, the company continues to make slow but steady progress building the first Super Heavy booster prototype.
For the most part, SpaceX has learned from trial and error and developed a decent stainless steel rocket manufacturing process by building a dozen Starship prototypes over the last ~12 months, ranging from a lone nosecone tip to stout test tanks and Starship SN8, which launched to 12.5 km (~7.8 mi) earlier this month. Practically identical below the nose, Super Heavy directly benefits from that maturity and is more or less an extended Starship tank section with more engines and bigger legs.
In many ways, Super Heavy can be much simpler than Starship, as a suborbital booster has no need for header tanks, flaps, or a nosecone, and can be much stronger and heavier in all aspects. However, carrying three or more times as propellant as Starship (and carrying Starship itself), Super Heavy also needs to be stronger. All those changes – requiring new design work and new fabrication – take time. In a great sign that most of that work is complete, some of that custom hardware needed to strengthen and power Super Heavy has begun to arrive over the last several weeks.
SpaceX began stacking the first Super Heavy booster (BN1) on November 8th and appears to have more or less paused integration operations after joining eight rings. Production continued apace, however, and no less than five ring sections destined for Super Heavy appeared over the next several weeks. Why assembly slowed down is unclear but it’s reasonable to assume that SpaceX was trying to keep its focus primarily on Starship SN8’s launch debut and the preparation of several other full-scale ships, where early work on Super Heavy could ultimately be for naught if Starship flight tests uncover major design flaws.
Regardless of the reason, BN1 remains eight rings (14.5m/48ft) tall as of December 14th, representing one-fifth of Super Heavy’s full 70-meter (~230 ft) height.
On December 17th, one of the parts unique to Super Heavy unexpectedly appeared in SpaceX’s South Texas shipyard, labeled “B1 FWD PIPE DOME”. The dome was quickly sleeved with a stack of three steel rings with labels confirming that the assembly was Super Heavy BN1’s common tank dome – “common” because it’s shared by both booster propellant tanks. The new dome is unique to all previous Starship domes, featuring a smaller, more reinforced cutout – likely because Super Heavy doesn’t need header tanks.
It also appears to borrow from Starship’s forward dome design, using the same rougher steel normally used to cap off Starship methane tanks.
Unlike Starship common domes, which place a spherical methane header tank at the bottom, Super Heavy’s common dome will have a transfer tube welded directly to its nozzle-like opening. As it turns out, what could be the first Super Heavy methane transfer tube was delivered to Boca Chica late last month.
Unlike Starship transfer tubes, the new plumbing appeared to have a much wider diameter and was delivered in four sections, meshing well with the fact that Super Heavy tanks are roughly twice as tall as Starship’s. Able to support as many as 28 Raptors compared to Starship’s 6, Super Heavy transfer tubes will also need to pump more than five times as much methane per second at full thrust, which could explain the larger diameter.
Finally and perhaps most significantly, aerial photos from RGV Photography appeared to capture the first glimpse of what might be the hardest custom part required by Super Heavy – a thrust structure designed to support up to 28 Raptor engines. On December 10th, casually sitting between Starship Mk1’s remains (on the white concrete mount) and a tent, a flat ring with clear eightfold symmetry and a donut-like cutout large enough to fit a Starship thrust puck with room to spare was easily visible.
The hexagonal symmetry was the main giveaway, matching comments from CEO Elon Musk that Super Heavy’s thrust structure will feature a central ring of eight engines surrounded by an outer ring of up to 20 more Raptors. Assuming the first Super Heavy booster only flies with a few Raptor engines, that sole eight-engine ‘puck’ may be all that SpaceX needs to complete BN1.
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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
