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SpaceX's Texas Starship factory set to receive more parts from Florida
After successfully delivering Starship hardware and manufacturing tools to SpaceX’s Boca Chica, Texas rocket factory and launch facilities, the company has begun preparing a second load of parts to be shipped from Florida to Texas in the near future.
This is the latest chapter in a saga that began when SpaceX revealed that it would effectively pause its Florida Starship manufacturing operations and reassign most of its affected employees. Since SpaceX’s early-December confirmation, the company’s Cocoa, Florida Starship production hub has been more or less at a standstill, only interrupted once and awhile by efforts to either scrap hardware that is no longer needed or send it to Texas, where SpaceX has redoubled efforts to build the next series of Starship prototypes.
Teams in Florida are still working tirelessly to construct a massive Starship launch mount at Pad 39A believed to be capable of supporting full-scale Starship and Super Heavy static fires and launches, confirmation that SpaceX is likely only temporarily halting Starship production in the region. Nevertheless, the focus is now unequivocally on SpaceX’s Boca Chica facilities, where the company is rapidly building and expanding manufacturing facilities and constructing the next full-scale Starship prototype (SN01).
Although manufacturing operations have been paused in Florida, the existing Cocoa facility still has a huge amount of Starship hardware strewn about, most of which appears to be bound for scrapyards. Some of that hardware and infrastructure, however, can be salvaged and used elsewhere by SpaceX, and that is exactly what the company is now doing.
Most recently, SpaceX loaded transport ship GO Discovery with two giant steel stands and a completed Starship dome and transported that hardware from Port Canaveral, Florida to Port of Brownsville in early-December 2019. After arriving, SpaceX moved the rocket parts and infrastructure by road to its Boca Chica facilities, where they have since been stored until they’re needed.
At the moment, the almost-finished Starship Mk2 prototype remains at SpaceX’s Cocoa factory in three giant pieces – a cylindrical tank and engine section, the start of a curved nose section, and the tip of that nose section. It remains to be seen what the fate of those rocket parts is, as much of the structure could theoretically be sent to Texas to expedite Starship SN01 production and assembly. However, the utility of those parts is likely almost entirely dependent on their quality and the design and fabrication delta between them and whatever SpaceX has in mind for the next phase of prototypes.
SpaceX continues to develop Starship in largely the same way it worked on Falcon 9 booster landings, beginning with a minimum viable product (Grasshopper/Starhopper) and gradually improving the test hardware into something much more reminiscent of the real deal (F9R/Starship Mk1, Mk2). Ultimately, all the experience gained and lessons learned from building and flying those increasingly more complex prototypes is merged with true orbital-class flight hardware.
It appears that SpaceX (or at least CEO Elon Musk) believes that the company may have already learned enough from Starhopper and Starship Mk1/Mk2 to graduate directly to some form of serial production – implied by his statement that the next Texas prototype will now be known as Starship SN01. Formerly Starship Mk3, Starship SN01 will be built with an array of refined or fully-new production and assembly processes, hopefully resulting in a prototype that is significantly more refined than Starship Mk1, which is believed to have been intentionally destroyed during pressure testing in November 2019.
In line with that strategy, SpaceX is preparing to ship more upgraded Starship hardware and infrastructure from Florida to Texas.
Based on photos taken in the last few days by local photographer and observer John Winkopp, GO Discovery’s next shipment will include a number of rolls of stainless steel stock, another steel stand for Starship ring assembly, and parts of another unfinished Starship tank dome.
Altogether, it’s possible that Starship SN01 assembly will end up taking far less time than Starship Mk1 or Mk2. Musk believes that that new and improved Starship prototype could be ready for flight testing as early as February or March 2020.
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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
