News
Elon Musk says SpaceX might refly Starship after historic landing
Update: CEO Elon Musk says that SpaceX “might try to refly SN15 soon” after it became the first Starship to ace a high-altitude launch and survive the landing. In other words, SpaceX might be about to kick off what’s bound to be a long and fruitful future of Starship reusability.
Less than six months after high-altitude flight testing began, SpaceX has successfully landed a full-size Starship prototype in one piece, giving the company its first real opportunity to inspect a flown vehicle with flaps, a nose, and three Raptor engines.
That spectacular success will simultaneously give SpaceX a wealth of data from any onboard cameras and data recorders, as well as the physical condition of Starship itself – including three Raptor engines with several minutes of flight time. While SpaceX likely already managed to determine a great deal from over-the-air telemetry and wreckage taken from Starships SN8 through SN11, it now has a virtually unharmed, full-scale, full-fidelity prototype to truly compare and contrast with more theoretical engineering and flight performance models.
Perhaps most importantly, though, SN15’s success also raises the question: what’s next for SpaceX and its Starship program?
The reality is that things could go any number of directions depending on Starship SN15’s condition and just how successful SpaceX determines the flight really was. If Starship SN15 and its tanks, flaps, and Raptors are all in impeccable condition, it’s not impossible to imagine that SpaceX could do what it did after Starship SN8’s near-total success and scrap Starship prototypes SN17, SN18, and SN19 before work really begins. While unlikely, SN15 could even fly a second time in that scenario.
Starship SN16 is already more or less complete could easily be ready to roll to the launch pad within the next week. Odds are good that SpaceX will use SN16 to (hopefully) replicate Starship SN15’s spectacular success and prove beyond a shadow of a doubt that the vehicle’s current design has fixed the issues that doomed SN8 through SN11. With SpaceX’s Starship program, though, just about anything is possible – especially at a point that CEO Elon Musk appears to be seriously considering a giant tower with arms as a replacement for landing legs.
Meanwhile, Musk himself confirmed that SpaceX is working towards a goal of launching Starship into orbit for the first time by July 2021. Beginning with Starship SN20, those initial orbital flight tests will use Starship prototypes with still more upgrades beyond the “hundreds of improvements” present on SN15. It’s unclear how significant the upgrades needed to move from SN15’s design to an orbit-capable Starship are but at minimum, SpaceX will need to outfit orbital ships with a full heat shield and three new vacuum-optimized Raptors on top of the three sea-level engines already flown on SN8 through SN15.
Musk has implied that recovering a Starship prototype from orbit could take several failed attempts before the first success. Along those lines, SpaceX has its work cut out for it given that Starship will be the heaviest orbital spacecraft ever launched by a large margin. Unlike the ~100 metric ton (220,000 lb) Space Shuttle orbiter, though, SpaceX won’t be gambling the lives of astronauts on Starship’s initial orbital flight tests, leaving far more room for uncertainty and risk-taking.
Beyond Starship itself, SpaceX has yet to complete or test a flightworthy Super Heavy booster prototype and the company’s orbital-class Starship launch facilities are far from complete. Many parts of Super Heavy boosters BN2 and BN3 have been completed and are waiting for integration to begin and SpaceX has made a huge amount of progress on said orbital launch site over the last six months, but months of work almost certainly remain before either crucial component will be ready for orbital launch attempts.
For now, we’ll just have to wait and see what happens to Starship SN15 and SN16.
News
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.
News
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.
News
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
