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SpaceX static fires Falcon 9 with satellites on board for the first time in years
SpaceX has successfully completed a Falcon 9 static fire ahead of Starlink’s first dedicated launch, breaking a practice that dates back to Falcon 9’s last catastrophic failure to date.
That failure occurred in September 2016 around nine minutes before a planned Falcon 9 static fire test, completely destroying the rocket and the Amos-6 communications satellite payload and severely damaging Launch Complex 40 (LC-40). Since that fateful failure, all 42 subsequent Falcon 9 and Falcon Heavy satellite launches have been preceded by static fire tests without a payload fairing attached. This process typically adds 24-48 hours of work to launch operations, an admittedly tiny price to pay to reduce the chances of a rocket failure completely destroying valuable payloads. With Starlink v0.9, SpaceX is making different choices.
When supercool liquid oxygen ruptured a composite overwrapped pressure vessel (COPV) in Falcon 9’s upper stage, the resultant explosion and fire destroyed Falcon 9. Perhaps more importantly, the ~$200M Amos-6 satellite installed atop the rocket effectively ceased to exist, a loss that posed a serious threat to the livelihood of its owner, Spacecom. Posed with a question of whether saving a day or two of schedule was worth the potential destruction of customer payloads, both customers, SpaceX, and their insurers obviously concluded that static fires should be done without payloads aboard the rocket.
The only exceptions since Amos-6 are the launch debuts of Falcon Heavy – with a payload that was effectively disposable and SpaceX-built – and Crew Dragon DM-1, in which Falcon 9’s integration with Dragon’s launch abort system had to be tested as part of the static fire. Every other SpaceX rocket launch since September 2016 has excluded payloads during each routine pre-flight static fire.
SpaceX’s Spacecraft Emporium
Why the change of pace on this launch, then? The answer is simple: for the first time ever, SpaceX is both the sole payload/satellite stakeholder and launch provider, meaning that nearly all of the mission’s risk – and the consequences of failure – rest solely on SpaceX’s shoulders. In other words, SpaceX built and owns the Falcon 9 assigned to the mission, the 60 Starlink test satellites that make up its payload, and the launch complex supporting the mission.
Even then, if Falcon 9 were to fail during an internal SpaceX mission, customer launches could be seriously delayed by both the subsequent failure investigation failure and any potential damage to the launch complex. In short, although an internal mission does offer SpaceX some unique freedoms, it is still in the company’s best interest to treat the launch like any other, even if some customer-oriented corners are likely begging to be cut. Additionally, the loss of SpaceX’s first dedicated payload of 60 Starlink satellites could be a significant setback for the constellation, although it may be less significant than most would assume.
This is not to say that SpaceX won’t take advantage of some of the newfound freedom permitted by Starlink launches. In fact, CEO Elon Musk has stated that one of SpaceX’s 2019 Starlink missions will become the first to reuse a Falcon fairing. Additionally, SpaceX is free to do things that customers might be opposed to but that the company’s own engineers believe to be low-risk. Notably, Starlink missions will be an almost perfect opportunity for SpaceX to flight-prove reusability milestones without having to ask customers to tread outside of their comfort zones.
The sheer scale of SpaceX proposed Starlink constellation – two phases of ~4400 and ~12,000 satellites – means that the company will need all the latent launch capacity it can get over the next 5-10 years, at least until Starship/Super Heavy is able to support internal missions. Extraordinary packing density will help to minimize the number of launches needed, but the fact remains that even an absurd 120 satellites per launch (double Starlink v0.9’s 60) would still require an average of 12 launches per year to finish Starlink before 2030.
In the meantime, thoughts of a dozen or more annual Starlink launches are somewhat premature. SpaceX’s first dedicated Starlink launch (deemed Starlink v0.9) is scheduled to lift off no earlier than 10:30 pm EDT (02:30 UTC), May 15th, and is being treated as an advanced but still intermediary step between the Tintin prototypes and a finalized spacecraft design. Still, in an unprecedented step, SpaceX has built sixty Starlink satellites for the development-focused mission, in stark contrast to the six satellites (still a respectable achievement) competitor OneWeb launched in February 2019 as part of its own flight-test program.
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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
