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SpaceX loses dozens of new Starlink satellites to “geomagnetic storm”
SpaceX says that dozens of the 49 Starlink satellites aboard its most recent Starlink launch may have been doomed by a “geomagnetic storm” that arrived the day after.
In an update published on SpaceX.com, the company revealed that “up to 40 of the [49 Starlink V1.5] satellites [launched on February 3rd] will reenter or already have reentered the Earth’s atmosphere” after the “severity of the storm caused atmospheric drag to increase up to 50 percent higher” relative to past Starlink launches. The incident is likely the first time in spaceflight history that a geomagnetic storm – solar weather – has caused satellites to fail because of its effects on Earth’s atmosphere.
There’s some ambiguity in SpaceX’s statement as to how exactly the storm caused up to 40 Starlink satellites to fail or if those satellites actually failed, per se. According to SpaceX, a geomagnetic storm that began on February 4th caused “the atmosphere to warm and atmospheric density at [the mission’s] low deployment altitudes to increase [up to 50%],” thereby increasing the drag on each Starlink satellite by the same amount. SpaceX intentionally launches almost every batch of Starlink satellites to very low parking orbits with perigees (the point of the orbit closest to Earth) around 200 kilometers (125 mi).
At that altitude, both Falcon 9’s upper stage and malfunctioning Starlink satellites will naturally reenter Earth’s atmosphere in a matter of weeks or even days, thus guaranteeing that satellites that fail early on won’t become space debris. Only the Starlink satellites that pass initial testing in orbit are allowed to raise themselves to operational orbits around 550 kilometers (340 mi), where a failed satellite will instead take years to deorbit. Just 500 kilometers higher, natural decay takes decades or even centuries.
For Starlink 4-7, it’s ambiguous if the radiation environment created by the geomagnetic storm or days of exposure to the edge of the atmosphere actually damaged dozens of Starlink satellites beyond recovery or if they simply deorbited so quickly in the unusual environment that they fell past the point of no return. In the latter scenario, the incident is effectively an unforeseen fluke of nature – especially given that three-dozen other Starlink launches have run into no such issues in the last three years. In the fluke-of-nature scenario, it’s also unclear if SpaceX could have predicted – and thus prevented – the anomaly.
SpaceX says it “commanded the satellites into a safe-mode where they would fly edge-on (like a sheet of paper) to minimize drag” as soon as it was aware of the issue but that “the increased drag…prevented the satellites from leaving safe-mode to begin orbit raising maneuvers.” Based on that phrasing, the most obvious explanation is that the added drag caused up to 40 of the satellites to fall far enough into the atmosphere that their ion thrusters would no longer be able to raise their orbits faster than the drag was lowering them. Raising their solar arrays into the position needed for maximum power generation (and thus maximum sustained thrust) would also drastically accelerate reentry.
The 40 satellites SpaceX believes will be lost likely cost the company anywhere from $10 million to $40 million to build, making for a very expensive lesson. The anomaly also means that SpaceX will likely need to factor in yet another weather condition – geomagnetic storms – into Starlink launch planning. If a bit more time could have saved Starlink 4-7, it’s possible that the company will also consider slightly raising the low parking orbits used for Starlink, trading slightly slower natural reentries to reduce the risk of losing dozens of brand new satellites again.
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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
