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SpaceX’s Raptor engine nears flight-readiness for BFR spaceship hop tests
In a presentation that revealed plans for a private mission to the Moon in as early as 2023, SpaceX CEO Elon Musk dedicated a couple minutes to BFR’s booster and spaceship rocket engine of choice, Raptor. Musk had nothing but praise for SpaceX’s propulsion engineers and technicians, stating that he was “really excited” about the propulsion system’s advanced design.
SpaceX has completed over 1,200 seconds of firing across 42 main Raptor engine tests. pic.twitter.com/EhxbPjd8Cj
— SpaceX (@SpaceX) September 29, 2017
Judging from a total of 1200 seconds of hot-fires completed just under a year ago, it’s safe to assume that Raptor has soared beyond that measure. Most recently, photos captured earlier this summer showed that a new prototype was installed on SpaceX’s horizontal Raptor test stand in McGregor, Texas, looking nearly identical to the deep black Raptor nozzle shown in Monday’s presentation. Previous Raptor prototypes seen during testing or at the test stand appeared to have a nozzle closer to SpaceX’s silver Merlin 1Ds, whereas this newest iteration’s nozzle doesn’t seem to reflect the powerful spotlights surrounding it.
Perhaps not a coincidence, SpaceX’s propulsion engineering lead Tom Mueller stated in May 2018 that flight-ready Raptors were already “in work”, with the implication being that the finalized Raptor design had been completed and that manufacturing work was beginning in earnest. Barring an unexpected shift in testing strategies, SpaceX will optimize and verify Raptor’s flight design over the course of several hundred seconds of static fire tests, eventually leading into the same practices used for Falcon 9.
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- A September 2018 render of Starship (then BFS) shows one of the vehicle’s two hinged wings/fins/legs. (SpaceX)
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- In 2018, Musk decided to sidestep vacuum engines entirely, moving to 7 SL Raptors. (SpaceX)
“This is a stupidly hard problem and SpaceX engineering has done a great job with this design.” In a May 2018 tweet, Musk added that “this engine is something special.” – Elon Musk, 09/17/18
Prior to being installed on any BFR prototypes, all Raptors will thus go through acceptance testing in Texas, potentially followed by a full-up static fire of the first completed BFR spaceships. Falcon 9 boosters – capable of roughly 7600 kN (1.7 million lbf) of thrust – are routinely tested in McGregor, while a full BFR spaceship with 2017-grade Raptors (1700 kN at sea level) would produce 12,000 kN (2.7 million lbf) of thrust with all Raptors firing. However, due to the sheer difficulty of transporting something 9 meters in diameter by road, it’s more likely that SpaceX will need to build up a dedicated static fire and hop test facility near the coast of Texas, at a spot called Boca Chica.
An immense liquid oxygen (LOX) tank just arrived at @SpaceX's prospective Boca Chica, TX facility, likely to be dedicated to BFR & BFS testing. @NASASpaceflight forum user "Nomadd" caught some of the first detailed photos, as well as the tank's arrival at SpaceX land on July 11. pic.twitter.com/hr7SeA6BGw
— Eric Ralph (@13ericralph31) July 12, 2018
Getting to hop tests
As it turns out, massive propellant storage tanks (vacuum insulated) have already begun arriving at SpaceX’s Boca Chica facilities, currently dedicated to a duo of tracking and communications radars to be used for Crew Dragon communications. Over the course of the next 12 or so months, SpaceX is thus likely to expand and develop its Boca Chica facilities, culminating – if all goes well – sometime late next year with the first shipment of a prototype BFR spaceship from Port of Los Angeles, through the Panama Canal, to Port of Brownsville, Texas.
“I’m really excited about this engine design, I think the SpaceX propulsion team has done an amazing job – the SpaceX structures and aero team has done a phenomenal job in the design of this.”
“Even others in the aerospace industry don’t know what question to ask – once we could frame the question [with precision], the answers [for Raptor and BFR R&D] flowed.” – Elon Musk, 09/17/18
SpaceX has already completed the first composite segment (both a section of the fuselage and of a propellant tank) of the first BFR spaceship prototype, and Musk further stated that BFR’s structural engineers and technicians would begin fabricating the spaceship prototype’s propellant tank domes and engine section “soon”. A vast amount of work remains to be completed before that prototype will begin to look anything like an actual spaceship, and the exact fidelity SpaceX is hoping to achieve with it is unclear.
If the company tries to get as close as possible to a finished product (within reason, of course) before beginning propulsive hop tests in Texas, a very late-2019 debut of that test campaign could be a practical goal. It’s not a perfect comparison, but Falcon 9 is perhaps the best prior example of SpaceX’s speed of development, moving from structural fabrication and testing (albeit with Falcon 5 in mind) in 2006 and 2007 to a full-up orbital launch of the first Falcon 9 in mid-2010, with milestones like the first static fire of a booster octaweb and nine Merlin 1C engines 6-12 months prior.
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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.
News
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
