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SpaceX CEO Elon Musk confirms Q3 2021 target for first orbital Starship launch
Update: On the heels of a NASASpaceflight report, CEO Elon Musk has confirmed that SpaceX has an internal target of Q3 2021 (possibly as early as July!) for Starship’s first orbital launch attempt.
NASASpaceflight reports that SpaceX wants to begin orbital Starship launch attempts as early as July 1st, 2021, less than four months from now.
In no uncertain terms, this is an internal target, meaning that it’s far likelier than not that SpaceX’s first orbital Starship launch attempt wont happen in July. Nevertheless, the target’s existence implies that SpaceX sees a real, viable path – however narrow – to launching Starship into orbit for the first time just four months from now.
Put a different way, SpaceX believes it has six months of margin to get through preliminary Super Heavy booster testing (possibly including one or several hops), qualify an upgraded Starship design (SN15 onwards), roughly complete an orbital launch complex, and deliver around two-dozen orbit-capable Raptor engines before the end of the year. While unclear, it’s also possible that the milestone would require SpaceX to qualify and ship the first flightworthy Raptor Vacuum engines – another major challenge.
On its own, completing any one of those major feats of engineering would be impressive. Completing all of them simultaneously – even if the effort suffers more than five months of delays – would be nothing short of extraordinary. As such, it’s fair to assume that SpaceX will fall well short of its incredibly ambitious development schedule, even if the company almost invariably does what it sets out to do.
In this case, that means that there is a very real chance that Starship reaches orbit before the end of 2021, achieving a target that both SpaceX CEO Elon Musk and COO/President Gwynne Shotwell have reiterated within the last several months.
Even after reaching orbit for the first time, SpaceX will likely continue Starship development largely unchanged, treating the orbital regime as just another sandbox to test and refine Starship prototypes with. Given all the extraordinary problems SpaceX will need to solve to reach orbit, there’s also a decent chance that Starship or Super Heavy’s first orbital launch attempt will fail. If the launch is initially successfully, it’s just as likely that Super Heavy will fail its first hypersonic launch and landing attempt.
If Starship itself reaches orbit in one piece, any number of issues could kill the vehicle in space. If it survives long enough complete a 90-minute orbit and line up for reentry, descent, and landing, Starship’s first orbital-velocity atmospheric reentry – one of the biggest challenges in aerospace engineering – could easily destroy the spacecraft. If Starship somehow makes it through reentry on its first try, the stresses of orbital spaceflight and that reentry could prevent its Raptor engines from performing nominally during its powered flip maneuver and landing burn.
This is all to say that even as SpaceX sets its sights on orbital flight, the trajectory is still a continuation of an ongoing test program and iterative development process. While orbit-capable Starships will likely be much more expensive than their suborbital brethren, the differences are small enough that SpaceX will undoubtedly continue to push the envelope and risk losing prototypes to uncover and fix bugs and design flaws as early as possible.
Along the way, there will undoubtedly be more SN8/SN9/SN10-style hiccups. Given Starship’s developmental history, however, it’s starting to look like nothing less than catastrophe will prevent SpaceX from launching Starship into orbit before the year is out.
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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.
News
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
