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No SpaceX Falcon Heavy payload is safe as NASA Psyche mission announces delay
SpaceX’s first dedicated Falcon Heavy launch for NASA has been hit by a seven-week delay after spacecraft engineers discovered a software anomaly during preflight processing.
Named after the exotic metallic asteroid it’s designed to explore, NASA’s Psyche spacecraft completed its journey from the Jet Propulsion Laboratory in Pasadena, California to NASA’s Kennedy Space Center launch facilities in late April. To this day, it’s the first and only Falcon Heavy payload to actually reach Kennedy Space Center since mid-2019. At the time of its arrival, it was somewhat unclear when Falcon Heavy would finally end its three-year launch hiatus or what payload(s) would be atop the rocket for the event.
Three weeks later, both things are still unclear, but now for different reasons.
On May 23rd, Spaceflight Now reported that it had received a written statement from NASA confirming that Psyche’s launch had been delayed from August 1st, 2022 to no earlier than (NET) September 20th “after ground teams discovered an issue during software testing on the spacecraft.” After the spacecraft’s arrival at a Kennedy Space Center payload processing facility, teams have spent the last few weeks combing over Psyche and making sure that it survived the journey without issue. At an unknown point, engineers would have needed to power on the spacecraft’s computers to perform extensive diagnostic tests. It’s also possible that a late build of Psyche’s flight software was being analyzed externally before final installation.
Either way, something went wrong. For the moment, all NASA is willing to say is that “an issue is preventing confirmation that the software controlling the spacecraft is functioning as planned.” Although it does seem to center around software, such a vague statement fails to rule out the possibility of a hardware problem, which could help to better explain why NASA and the spacecraft team rapidly chose to delay Psyche’s launch by more than seven weeks.
For unknown reasons, virtually every near-term Falcon Heavy payload has slipped significantly from its original launch target. Within the last few weeks, USSF-44 – meant to launch as early as June 2022 after years of delays – was “delayed indefinitely.” Delayed from Q3 2020, USSF-52 is now scheduled to launch in October 2022. ViaSat-3, once meant to launch on Falcon Heavy in 2020, is now NET September 2022. Jupiter-3, a record-breaking communications satellite that wasn’t actually confirmed to be a Falcon Heavy launch contract until a few weeks ago, recently slipped from 2021 and 2022 to early 2023.
Only USSF-67, which hasn’t had its official launch target updated in more than a year, is reportedly still on track to launch somewhere within its original launch window (H2 2022). If it actually does launch without delay on a Falcon Heavy rocket in November 2022, it will be quite the outlier. Meanwhile, Psyche’s September 20th delay means that it could now conflict with Falcon Heavy’s ViaSat-3 mission, which must use the same launch pad. More likely than not, ViaSat-3 was already likely to slip into Q4, but the situation exemplifies how agonizing scheduling launches for almost half a dozen chronically-delayed payloads must be for SpaceX.
Meanwhile, SpaceX must also store and maintain nine different Falcon Heavy boosters as they are forced to continue waiting for their long-assigned missions. SpaceX’s entire fleet of operational Falcon 9s – including one Falcon Heavy booster temporarily serving as a Falcon 9 – contains 12 boosters, meaning that more than 40% of all Falcon boosters are currently dead weight.
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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
