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SpaceX returns Starship booster to factory after two major Raptor tests
For the sixth time this year, SpaceX has returned the same Super Heavy booster prototype to its South Texas Starship factory after completing several tests.
Why is unclear. Super Heavy Booster 7 left the factory for the first time in March 2022 and has been stuck in a seemingly continuous state of testing, rework, and retesting ever since. While the pace of testing and progress was in many ways more aggressive from 2019 to mid-2021, it still can’t be said that SpaceX has been slacking off in 2022. Booster 7 alone completed more than 24 distinct tests (including six static fires) between early April and late November.
But in a shift from the first three or so years of steel Starship development, SpaceX CEO Elon Musk has ceased to be a consistent source of information on the purpose and results of many of those tests, even as NASA has begun to funnel hundreds of millions of taxpayer dollars into the Starship program. Save for occasional tidbits from SpaceX, Musk, and NASA; or deep unofficial analyses of public information, the day-to-day or week-to-week status of Starship has generally been relegated to speculation. Over the last few months, that information void has only grown larger.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Perhaps the biggest near-term update this year came from a senior NASA official on October 31st. In an advisory briefing, Mark Kirasich – Deputy Associate Administrator for Artemis Campaign Development – offered a surprising amount of detail about SpaceX’s near-term plans and even reported that Starship’s first orbital test flight was expected as early as December 2022, pending several crucial tests. But more than five weeks later, SpaceX appears to have only made a modest amount of progress towards those milestones and has yet to attempt the two most important tests.
Kirasich: First orbital Starship/Super Heavy expected in December. Still waiting for full 33 engine test, wet dress rehearsel, and FAA licensing. Will land in ocean off Hawaii. pic.twitter.com/FktCggnPEe— Marcia Smith (@SpcPlcyOnline) October 31, 2022
Nonetheless, some progress – however indeterminate without official information – has been made. As of Kirasich’s briefing, SpaceX was in the middle of a relatively minor series of cautious propellant loading tests with Booster 7 and Ship 24, which were stacked on October 20th. After three more partial full-stack tests in the first seven days of November, Ship 24 was removed. Aside from the visible steps SpaceX took after, little is known about the outcome of those propellant loading tests.
Ship 24’s fate is a different story, but Super Heavy B7 appeared to make it through full-stack testing in great shape. On November 14th, Booster 7 completed a record-breaking 14-engine static fire, doubling its previous record of seven engines and likely becoming one of the most powerful rockets in history. Musk simply stated that the “test went well”.
Poor weather undoubtedly contributed, but it would be another 15 days before Booster 7’s next test. On November 29th, after an aborted test on the 28th, SpaceX followed Booster 7’s record-breaking 14-engine static fire with a longer 13-second test of 11 Raptors. Before engine ignition, SpaceX loaded Booster 7 with around 2800 tons (~6.2M lb) of liquid oxygen (LOx) propellant in less than 90 minutes, making it a partial wet dress rehearsal (the methane tank was barely filled) as well. Musk called it “a little more progress towards Mars” and SpaceX shared a photo of the static fire on Twitter, but the results of the test – meant “to test autogenous pressurization” – were kept mostly opaque.
That uncertainty didn’t help when two of Booster 7’s 33 Raptor engines were removed immediately after the long-duration test. Then, Booster 7 was removed from Starbase’s lone ‘orbital launch mount’ on December 2nd and rolled back to the factory’s High Bay assembly facility on December 3rd. Historically, SpaceX has only returned Booster 7 to the factory to repair damage or install missing hardware. Without official information, it’s impossible to say why Booster 7 returned for the sixth time.
The most optimistic explanation is that SpaceX brought the Super Heavy booster back to the factory to fully close out its engine section heat shield, which currently has 20 missing panels for each of its outer Raptor engines. But there’s a good reason that those panels were never reinstalled. Any replacements would need to be modified to ensure that the ad-hoc system installed to prevent the conditions that led to Booster 7’s first explosion from recurring can still be used for future static fire tests. Even then, it’s unclear why SpaceX would need to reinstall those panels now for Booster 7’s upcoming 33-engine static fire(s) and full-stack wet dress rehearsal(s) when they weren’t needed for 11 and 14-engine static fires and a dozen other fire-free tests.
Depending on why Booster 7 is back at the factory, there is a precedent for it returning to the launch site as early as next week. Alternatively, if major work or repairs are required, it could be six weeks before SpaceX returns the rocket to the launch pad. Given that the full wet dress rehearsals and one or several 33-engine static fires standing between Booster 7 and flight readiness will be riskier and more challenging than any other test the prototype has completed to date, there is no real chance that Starship will be ready for its first orbital launch this year.
In fact, without detailed information, especially regarding Ship 24’s mysterious state, it’s difficult to pinpoint a viable target for Starship’s orbital launch debut more specific than the first half of 2023. But with any luck, even if it requires a substantially longer wait, SpaceX’s recent decision to make Starbase move slower and break fewer things will hopefully pay off with a successful debut sometime next year.
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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.
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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.
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
