News
SpaceX completes vast Mr Steven arm upgrades for quadruple-sized net
Scarcely 48 hours after they began, SpaceX technicians have already completed installation of all four of Falcon fairing recovery vessel Mr Steven’s new and dramatically larger arms, as well as eight giant struts. All that remains to be installed is an upgraded net, said by CEO Elon Musk to have four times the area of its predecessor.
Put simply, it’s difficult to express how large these upgraded arms really are, and photos still only give a partial sense of their scale. SpaceX technicians busy installing the new arms on July 10th nevertheless offer a fleeting appreciation of the true size of this new payload fairing recovery apparatus, which will hopefully see its first operational debut in just two weeks with a fairing recovery attempt after the Iridium-7 Falcon 9 mission, July 25th.
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- A few SpaceX technicians examine one of Mr Steven’s newly-attached arms and struts. (Pauline Acalin)
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- Mr Steven and the ever mysterious inflatable ring now floating at Berth 240, July 10. (Pauline Acalin)
All arms on deck
While it’s difficult to estimate from photos alone, it appears that Mr Steven’s new arms are minimum of roughly 65 meters squared, assuming a square aspect ratio. In other words, the vessel’s next and newest net could have an area as large as 3600 square meters (~40,000 square feet, ~0.85 acres), easily more than quadruple the size of Mr Steven’s previous net. For comparison, the massive autonomous spaceport drone ships (ASDS) SpaceX often recovers its Falcon 9 and Heavy boosters aboard have a usable landing area of roughly 45,000 square feet, a little more than 10% larger than Mr Steven’s new net.
With these vast new arms, struts, and (soon enough) net, SpaceX is likely as close as they have ever been to successfully catching a Falcon 9 fairing, an achievement that would likely allow the company to begin reusing the large carbon fiber-composite shrouds almost immediately. Critically, although SpaceX appears to have begun attaching recovery hardware to both fairing halves in recent West Coast attempts, it remains to be seen whether Mr Steven’s new claw apparatus will be able to catch both halves, thus closing the gap on fairing recovery without necessitating the leasing and modification of perhaps three additional copies of the vessel.
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- A before and after comparison of Mr Steven’s old and new arms. (Pauline Acalin)
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- Even at this zoom, the human workers are difficult to make out. (Pauline Acalin)
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- E N H A N C E. (Pauline Acalin)
Adding three recovery-critical ships (two for West Coast missions, two for East Coast missions) to SpaceX’s already massive blue-water fleet could significantly raise the operating costs of each recovery attempt, as well as generally adding considerable complexity to the orchestration of those fleets come launch time. Perhaps not. Still, if Mr Steven sees success with his 4Xed net and arms, chances are very good that SpaceX will lease and modify another Fast Supply Vessel – if they already haven’t done so – to provide the company’s higher-volume East Coast launch facilities with their own, dedicated fairing catcher. Mrs Steven awaits…
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- A few more arm and strut glamour shots, July 10. (Pauline Acalin)
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- A few more arm and strut glamour shots, July 10. (Pauline Acalin)
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- Port of San Pedro or an Andrew Pollock painting? You be the judge. (Pauline Acalin)
Zeroing in on Falcon fairings
Worth noting, SpaceX may have already halved the error margin officially advertised for the parafoil guidance units it procured from Canadian supplier MMIST, apparently missing Mr Steven by about 50 meters while MMIST suggests a 50% chance of successfully landing a payload in a 100-meter sphere. Given the significant expense likely incurred by designing, building, installing, and testing two distinct net and arm systems aboard Mr Steven, it’s safe to say that SpaceX engineers and technicians believe there is a very strong chance that the newest solution will successfully close the fairing recovery gap, said by CEO Elon Musk to be a rather literal 50 meters between the vessel’s old net and the unforgiving ocean surface.
With an additional 30 meters (~100 feet) of reach in both axes, the new net alone may be able to shrink that error margin by ~60%. Perhaps the fact that it also appears to cover (and thus protect) Mr Steven’s wheelhouse will allow the vessel more leeway to aggressively maneuver as the fairing nears touchdown, providing that final 20-meter leap to slip his net under the fall halves.
In the meantime, we will ponder who exactly SpaceX is procuring a 40,000 square foot net from.
Incredibly, this artist rendering of a much larger net installed on Mr Steven was perhaps two or more times smaller than the solution now installed on the vessel. (Reese Wilson)
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News
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.
News
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.
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
