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SpaceX wants to launch its next Starship ASAP
Contrary to recent comments from CEO Elon Musk, SpaceX appears to be forging ahead at full speed in a bid to launch its next Starship ASAP.
Known as Starship serial number 10 (SN10), the prototype is the latest in a series of four ships SpaceX has ultimately set aside from low(er)-altitude development testing. Starship SN8 – the first functional prototype to reach its full height – debuted on December 8th, 2020, blowing expectations out of the water with a failure mere seconds before the end of a more than six-minute flight test. According to Musk, had a fuel tank remained properly pressurized from start to finish, SN8 could have very well stuck the landing on the first try.
Two months later, after the better part of two weeks of licensing and static fire test delays, Starship SN9 attempted to carry the torch forward but suffered an unrelated failure slightly earlier than SN8’s. One of two Raptor engines failed to ignite for a high-risk flip and landing burn, causing the Starship to impact the ground even more violently than its predecessor. It’s unclear why the ill-fated Raptor failed to ignite or why the engine that did ignite appeared to experience a major failure shortly thereafter but rocket propulsion is extraordinarily difficult – and Raptor is near – or at – the end of that scale.
While SpaceX obviously hasn’t spun around and fixed a complex Starship propulsion issue in a matter of days, Musk eventually revealed his opinion that he, his engineers, or some combination of both “were too dumb” to exploit one obvious way to mitigate the risk of engine failure during flip and landing. That ‘obvious’ tweak: reignite all three of Starship’s available landing engines, not just two.
In theory, with a fast-enough response time, Starship could ignite all three Raptors, perform a supercharged flip from a belly- to tail-down orientation, and selectively shut off one of the engines based on the data from what is essentially a midair static fire. In the event that all three engines are performing nominally, Starship would shut down the least useful engine (i.e. the Raptor with the least leverage) for a gentle two-engine landing burn.
That said, the ship landing burn has a clear solution. My greatest concern is achieving good payload to orbit with rapid & full reusability, without which we shall forever be confined to Earth.— Elon Musk (@elonmusk) February 5, 2021
Impressively, Musk said that SpaceX would implement those changes immediately, attempting the first three-engine reignition as early as Starship SN10’s launch debut. Already at the launch pad when Starship SN9 lifted off, SpaceX revealed plans to launch SN10 as early as February 2021 at the end of SN9’s test flight webcast.
A few days prior to SN9’s ill-fated test flight, Musk had also stated that Starship SN10 would perform a “cryoproof” test and only then have its three Raptor engines installed. Instead, in an apparent change of plans, SpaceX installed Starship SN10’s Raptors – SN39, SN50, and an unknown third engine – from February 5th to 7th.
On Sunday, local longtime resident Mary (aka BocaChicaGal) received an official safety alert from SpaceX, signaling plans for an explosive Starship test of some kind as early as Monday, February 8th. Historically, those overpressure safety warnings have only been distributed when SpaceX is preparing for a Starship static fire attempt. In other words, it’s possible that Starship SN10’s very first test could be a live wet dress rehearsal (WDR) with flammable liquid oxygen and methane propellant. If that WDR goes well, SpaceX could move directly into a one, two, or three-engine static fire.
Of course, as SN9’s lengthy test period rubbed in, Starship is still in the prototype stage and is far from a mature system, meaning that it’s always safer to expect delays than an on-time performance. To be clear, it’s far more likely that SpaceX will perform a familiar “cryo proof” test with non-flammable liquid nitrogen – perhaps hoping to complete a cryoproof and static fire in the same test window.
Either way, stay tuned for updates and follow along with NASASpaceflight’s excellent live coverage in the event that SpaceX really is prepared to static fire Starship SN10 between 9am and 6pm CST (UTC-6) on Monday.
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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.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
