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SpaceX just finished Starship’s 100th Raptor engine
SpaceX says its Hawthorne, California rocket factory and headquarters has completed the assembly of Starship and Super Heavy’s 100th Raptor engine.
SpaceX began developing Raptor behind the scenes as far back as 2012 and 2013, when a small team successfully tested a full-scale Raptor preburner – a small but important subcomponent – at NASA’s Stennis Space Center (SSC) facilities. Three years later, in September 2016, CEO Elon Musk revealed the first integrated static fire of a Raptor prototype – though it would later become clear that that prototype was a subscale engine about the same size as Falcon 9’s Merlin 1D.
After two and a half years of subscale testing that helped SpaceX refine startup and shutdown sequences and the general operation of what quickly became the world’s most thoroughly tested full-flow staged combustion engine, SpaceX graduated to full-scale testing. Designed to produce about twice the thrust (~200 tons/440,000 lbf) of its subscale predecessors, the first full-scale Raptor engine shipped to SpaceX’s McGregor, Texas test facilities and completed its first static fire days later on February 3rd, 2019.
Notably, the very first full-scale Raptor prototype (SN1) not only survived its first test but lived long enough to complete several more, ultimately reaching SpaceX’s minimum thrust target four days after its first static fire. A vibration issue would soon require several months of troubleshooting and iterative build-test-fail cycles but Raptor was ultimately ready to support its first brief Starhopper hop tests in July and August.
Approximately 15 months after Raptor’s first flight, Starship prototype SN8 successfully lifted off with three engines, one of which performed a near-flawless four-minute burn to apogee. Eventually, six months after SN8’s successful ascent but failed landing, Starship SN15 successfully landed, demonstrating Raptor’s ability to reignite mid-flight. Since SN15’s May 2021 success, SpaceX appears to have completed anywhere from 20 to 35+ new Raptors as part of a dramatic acceleration in production to meet the needs of at least two imminent orbital Starship test flights – both of which will need approximately 35 engines each.
For additional information on Booster 3's engine placement. Refer to this diagram below!
Massive thanks to @StarshipGazer for providing super high resolution and detailed pictures which allowed me to figure these positions out. pic.twitter.com/j1s5qHoGJ2— Artzius (@artzius) July 21, 2021
Per its label, RB16 – now better known as the 100th Raptor engine overall – is the 16th Raptor Boost engine built by SpaceX. “Boost” refers to the particular variant – in this case, a Raptor engine specifically designed for an outer ring of 20 engines on each Super Heavy booster. Unlike Raptor Center (RC) engines, the outer ring of Raptor Boost engines are fixed in place against the rocket’s skirt and aren’t designed to vector their thrust (i.e. gimbal). According to Musk, all sea level-optimized Raptor engines will ultimately produce approximately 230 tons (~510,000 lbf) of thrust.
Relative to almost any other large-scale engine development program in the last half-century, Raptor’s 29-month 100-engine milestone is an extraordinary achievement. The closest comparable engine is Blue Origin’s BE-4, which is expected to produce up to ~240 tons (~540,000 lbf) of thrust, uses an efficient (albeit slightly less so) combustion cycle, and relies on the same methane and oxygen propellant. Full-scale BE-4 testing began 16 months before Raptor in October 2017 and Blue Origin has reportedly only built and tested nine prototypes in the almost four years since. According to Musk, as of May 2021, SpaceX is now building more than a dozen Raptors – including prototypes and flight engines – every month.
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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
