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SpaceX’s Starlink “VisorSat” launch plans revealed by Elon Musk
CEO Elon Musk has revealed more details about SpaceX’s plans to build and launch upgraded “VisorSat” Starlink satellites, part of the company’s work to ensure that the internet constellation can coexist with astronomy.
Back on April 22nd, Musk gave us the best glimpse yet of what he previously described as a sort of deployable sunshade for Starlink satellites. Designed to prevent orbital sunlight from reflecting off of each spacecraft’s shiny surfaces and disrupting ground-based astronomical observations, the SpaceX CEO said that the company’s very next Starlink launch – scheduled no earlier than “early May” – will carry one or several satellites with said sunshade installed, playfully nicknamed “VisorSat”.
Ultimately, Musk explained in significant detail the likely culprit of the spectacular visibility of Starlink satellites from the ground, discussed plans to reduce or wholly remove that flaring, and explicitly stated that SpaceX will do everything in its power to prevent its constellation from impacting science.
On April 22nd, Musk revealed that the sunshade he’d previously discussed would look “a lot like a car sun visor” and would be built out of dark, radio-transparent foam to avoid disrupting each satellite’s antennas while still preventing sunlight from reflecting off of their mirror-like surfaces.
Days later, he revealed a rough render of VisorSat’s design, showing an extremely simple pair of rotating foam ‘visors’ explicitly shaped to block sunlight from Starlink satellite antennas and not much else. Given the use of foam and a deployment mechanism no more complex than four actuating hinges, it’s entirely believable that this solution – if it works – could be cheap and light enough to be almost irrelevant for the overall spacecraft.
If it works, SpaceX’s ad hoc visor would effectively be the best possible solution for brightness, fully solving the issue while having a near-zero impact on the cost or functionality of each internet satellite. Of course, SpaceX will do what it’s known for and flight-test the new VisorSat design before getting ahead of itself, but if those tests are successful, it would be unsurprising if every future Starlink satellite features a visor.
However, in the process of explaining why Starlink satellites can appear so bright, Musk also hinted at one of the reasons that a visor alone cannot fully solve all of the sources of Starlink’s ground astronomy impact. After launch, Starlink satellites must raise and circularize their orbits to reach an operational altitude, a process that has typically taken 2-4 weeks. During that orbit-raising phase, Musk revealed that Starlink satellites must orient themselves in such a way that the entirety of their front and rear faces – including the solar array – is angled perfectly to reflect sunlight back to Earth.
To alleviate that issue, Musk has said that SpaceX will tweak the orientation and operation of satellites during the orbit raising period, but it’s difficult to see a way to consistently prevent bright reflections without big changes. If SpaceX can’t immediately find a way around that “Open Book” orientation, there will likely be anywhere from 60-180+ Starlink satellites raising their orbits on any given day if the company truly plans to operate a constellation of ~4400 satellites, let alone ~12,000 or ~40,000.
Once orbit-raising is complete, Musk believes that visors will effectively make Starlink satellites invisible to the naked eye, but more work will have to be done if SpaceX wants to fully mitigate Starlink’s astronomy impact.
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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
