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SpaceX already clearing Starship debris, preparing for next rocket rollout
Update: Half a day after Starship serial number 10 (SN10) became the first prototype to land in one piece, SpaceX has begun clearing its remains and preparing to roll the next rocket to the launch pad.
Never one to rest on its laurels, SpaceX appears to be wasting no time moving forward from Starship SN10’s successful landing and subsequent explosion. Almost a month ago, SpaceX stacked SN10’s successor – Starship SN11 – to its full height and has spent the last four weeks closing out the virtually identical rocket. As of SN10’s launch debut, Starship SN11 has been more or less finished and ready to roll to the launch pad for at least a week.
At the same time as SpaceX teams have begun the process of recovering SN10’s remains, the company also transported a large crane to the launch site – the same crane used to install Starships SN8, SN9, and SN10 at the launch pad. Stay tuned for updates as SpaceX prepares SN11 for a fourth high-altitude launch and landing attempt – this time with the goal of keeping the rocket intact after landing.
In a classically spectacular fashion, a SpaceX Starship prototype has successfully touched down in one piece for the first time ever, only to explode minutes later after catching itself on fire.
Rolled from SpaceX Boca Chica Starship factory to test and launch facilities just a mile down the road on January 28th, Starship SN10 lifted off just five weeks later – the fastest factory-to-launch flow yet. The speed of that turnaround was mainly made possible thanks to an exceptionally smooth test campaign, passing cryogenic proof and static fire tests after only a few attempts.
Prior to its second launch attempt, Starship SN10 automatically aborted a few seconds prior to its first attempt after the rocket’s flight computer determined that its three Raptor engines were producing more thrust than expected. Within half an hour of the abort, CEO Elon Musk took to Twitter to reveal the cause and stated that SpaceX would be tweaking the flight software’s thrust limits and recycling for another shot at launch around two hours later.
Up to the last 20 or so seconds of the 6.5-minute flight test, Starship SN10’s launch debut was virtually identical to Starships SN8 and SN9, both of which made it just one or two dozen seconds away from a soft landing. However, after SN9, SpaceX optimized the landing process to add additional redundancy, meaning that SN10 reignited all three of its Raptor engines – instead of just two – for its flip and landing burn.
Exactly as planned, SN10 fired up those engines, autonomously analyzed their performance, and then shut down two Raptors to leave the best-behaving engine to complete the final landing burn. Unlike SN8 and SN9, that maneuver went about as well as it could have, nearly slowing SN10 to a hover with one (seemingly) healthy engine to take it the rest of the way to the ground.
After all that heroic effort and for the first time ever, Starship SN10 proceeded to touch down in one piece. Through the eyes of a drone hovering far away from the launch complex, the landing couldn’t exactly be considered ‘soft,’ however, and SN10 impacted the landing zone with some substantial momentum – likely far too much for its tiny legs to handle.
However, more importantly, SN10 appeared to ignite one or two of its own gaseous oxygen or methane vents, triggering a fire that remained visible until well after the hard – but intact – landing. From official and unofficial views of the landed vehicle, Starship SN10 had a significant lean and appeared to have no more than a few inches to a foot of clearance between its aft skirt and the concrete pad. Remote-controlled firefighting spigots were able to extinguish any external sign of fire but that lack of clearance may have prevented the water from doing much inside the skirt, ultimately dooming Starship SN10.
Regardless of where exactly that fire ‘broke through,’ so to speak, the original cause of the fire – accidentally igniting a vent plume – is unlikely to be a hard problem to fix, and it’s safe to say that SN10’s intact landing is an extraordinary success for SpaceX. In its official webcast, SpaceX engineer John Insprucker confirmed that Starship SN11 is all but complete and could roll out to the launch pad to pick up where SN10 left off almost as soon as it’s safe to do so.
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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
