SpaceX’s newest drone ship is on its way out into the Atlantic Ocean for a Starlink mission that will break the company’s record for annual launch cadence.
Somewhat confusing known as Starlink Shell 4 Launch 3 or Starlink 4-3, the batch of 53 laser-linked V1.5 satellites is scheduled to fly before Starlink 4-2 for unknown reasons and at the same time as Starlink 2-3 is scheduled to fly before Starlink 2-2 on the West Coast. Regardless of the seemingly unstable launch order, perhaps related to the recent introduction of Starlink’s new V1.5 satellite design, drone ship A Shortfall of Gravitas’ (ASOG) November 27th Port Canaveral confirms that SpaceX is more or less on track to launch Starlink 4-3 no earlier than (NET) 6:20 pm EST (23:20 UTC) on Wednesday, December 1st.
In a bit of a return to stride after launching 20 times in the first six months but only three times in the entire third quarter of 2021, Starlink 4-3 is currently the first of four or even five SpaceX launches scheduled in the last month of the year. Nevertheless, if Starlink 4-3 is successful, it will also set SpaceX up to cross a milestone unprecedented in the history of satellite launches.
Specifically, Starlink 4-3 is SpaceX’s 16th dedicated Starlink launch of 2021 and will mark 951 Starlink satellites safely delivered to orbit since January 20th. If, as CEO Elon Musk has telegraphed is the plan, SpaceX intends to complete one more dedicated Starlink launch in December (either Starlink 2-2 or 2-3), the company could round out 2021 having launched more than a thousand satellites in a single year.
Thanks to Starlink, 2020 was the first year in history in which more than a thousand satellites (technically 1283) were launched into orbit. Now, in 2021, there’s a good chance that SpaceX Starlink launches alone will account for more than a thousand satellites launched in one year. Altogether, SpaceX will likely end the year having singlehandedly launched a total of more than 1240 satellites in 2021 – and despite only completing 3-4 Starlink launches in the last seven months of the year compared to 13 in the first five months.
For SpaceX and Starlink, that’s great news. In March and November 2018, the FCC approved two SpaceX applications to launch and operate constellations of ~4400 and ~7500 Starlink satellites – a total of around 11,900 satellites. To avoid having its licenses revoked, SpaceX – like all other FCC constellation applicants – is required to launch half of its licensed constellation within six years of its license receipts and full constellation within nine years. For SpaceX, that means it has to launch at least ~2200 satellites operating around 550 km (340 mi) and ~3750 satellites operating around 350 km (~220 mi) by March and November 2024, respectively.
With a bit less than 1700 Starlink satellites currently functioning in orbit, even if SpaceX merely repeats its 2021 cadence, it will be on track to outright finish Starlink’s first 4400-satellite phase by mid-2024 and should easily cross the halfway mark by mid-2022 – years ahead of schedule for both. However, simultaneously hitting Starlink’s very low Earth orbit (VLEO) deployment milestones will still be a massive challenge. Given that SpaceX has yet to launch a single VLEO Starlink spacecraft three years after license approval, it now has less than three years to launch ~3750 VLEO satellites on top of at least 500 more LEO satellites.
If SpaceX can replicate its H1 2021 Starlink launch cadence throughout 2022, completing at least 26 launches in 52 weeks, it may actually have a shot at pulling off a cadence close to what is needed to meet its FCC deployment requirements (an average of 1400 satellites per year for the next three years). If SpaceX simply aims for the average annual numbers needed to complete the full ~11,900-satellite Starlink constellation by November 2027, it will need to launch around 1800-2000 satellites per year – equivalent to 35-40 Falcon 9 rockets.
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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
