For the fourth time in nine months, SpaceX has docked a Dragon spacecraft to the International Space Station with a second Dragon already present at the crewed orbital laboratory.
Launched Saturday on a Falcon 9 rocket after a one-day weather delay, SpaceX’s first upgraded Cargo Dragon 2 spacecraft gradually boosted and tweaked its orbit over the course of ~30 hours, looping around the Earth 20+ times before docking with the ISS more than half an hour ahead of schedule. Dragon’s Monday, August 30th arrival marked cargo capsule C208’s second space station docking in nine months, smashing SpaceX and the world’s turnaround record for a reusable orbital space capsule – of which Dragons are the only still flying.
SpaceX’s first twice-flown Crew Dragon was there to greet the first twice-flown Cargo Dragon 2 spacecraft when it docked, having spent the last four months in orbit in support of NASA’s second operational commercial crew mission (Crew-2). A similar instance of a pair Dragons meeting in space is likely to occur at least two more times before the end of 2021.
The first two-Dragons-one-ISS instance occurred just nine months ago when the very same Cargo Dragon 2 spacecraft (capsule C208) rendezvoused and docked with the ISS with SpaceX’s Crew-1 Crew Dragon already attached. At the time, in a number of press conferences and public statements centered around the launch of Crew-1 and CRS-21, SpaceX repeatedly hinted at just how prolific a year 2021 would be for Dragon and it’s hard to argue that the company was exaggerating.
Indeed, exactly as SpaceX foretold, Dragon spacecraft have maintained a continuous presence in orbit and repeatedly operated side by side at the ISS since Crew-1’s November 2021 launch. For the majority of NASA’s Commercial Crew Program development, that degree of continuous, single-provider operations was never meant to happen. SpaceX’s upgraded Cargo Dragon, for example, is one of two independent Commercial Resupply Services (CRS) spacecraft that regularly resupply the space station, ensuring redundancy in the event that one spacecraft or rocket runs into major issues. A third CRS vehicle – Sierra Nevada’s Dream Chaser spaceplane – will also begin cargo deliveries sometime next year.
NASA’s Commercial Crew Program was structured in the same way, with Boeing and SpaceX serving as two redundant crew transport providers. Of course, things didn’t go exactly according to plan and Boeing – despite receiving 60% (~$2B) more funding than SpaceX – has suffered numerous catastrophic issues in recent years, nearly dooming its Starliner spacecraft’s first uncrewed launch in December 2019 and ultimately delaying the company by two or more years.
After further issues delayed Starliner’s uncrewed do-over test flight (OFT-2) from August to late 2021 or early 2022, it’s entirely possible that SpaceX will operate as NASA’s sole crew transport solution for more than 18 months before Boeing flies a single astronaut. In other words, it’s likely that SpaceX will need to maintain the extraordinary cadence of Dragon launches demonstrated in 2021 well into 2022, and possibly even 2023. Since November 2020, SpaceX has launched three Cargo Dragon 2 resupply missions and eight astronauts on two Crew Dragons.
Another two NASA Dragon missions – Crew-3 and CRS-24 – are scheduled to launch in October and December 2021 and SpaceX’s first fully private Inspiration4 Crew Dragon launch could happen as early as September 15th. So long as Boeing’s Starliner is unable to fulfill its crew transport role, all future SpaceX Crew and Cargo missions for NASA – including Crew-3 and CRS-24 – will continue to see one Dragon meet another at the ISS. All told, barring possible delays to CRS-24, SpaceX is on track to launch eight Dragons – four Crew and four Cargo; 16 astronauts and 11 tons of space station supplies – in 13 months.
If Crew Dragon and Cargo Dragon 2 are considered to be two variants of the same Dragon 2 spacecraft, the only other instance in history where another orbital spacecraft came close to eight successful orbital launches in ~13 months was NASA’s Gemini Program, which completed eight crewed test flights in ~14 months in 1965 and 1966.
NASA’s Apollo spacecraft also completed six successful flights (5 crewed, 1 uncrewed) in 13 months in 1968 and 1969. Russian Soyuz vehicles – the most prolific crewed spacecraft in history – have also successfully flown 8 times in 13 months and 9 times in 14 months in the 1970s. Put simply, SpaceX’s Dragon program is now singlehandedly executing at or above the level of the two most prolific national space programs in history at funding peaks that haven’t been touched since and for a fraction of the cost.
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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
