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SpaceX Falcon 9 rocket tests engines for first launch and landing of the new decade
SpaceX has successfully fired up a Falcon 9 rocket for the first time in 2020, setting the company up for the first of potentially dozens of Starlink launches over the next 12 months.
On the afternoon of January 4th, SpaceX loaded Falcon 9 with hundreds of tons of liquid oxygen, refined kerosene (RP-1), nitrogen, and helium and ultimately ignited all nine of the booster’s Merlin 1D engines, briefly producing some 7600 kN (1.7 million lbf) of thrust in a routine test known as a wet dress rehearsal (WDR) and static fire. As is tradition, SpaceX confirmed that the test looked successful just a handful of minutes after it was completed and verified that the rocket is now scheduled to launch 60 new Starlink satellites as early as 9:19 pm ET, January 6th (02:19 UTC, Jan 7).
Set to lift off from its LC-40 Cape Canaveral Air Force Station (CCAFS) launch pad, SpaceX’s first launch of the new year and decade hints at what is expected to follow over the course of 2020. In simple terms, the company’s ambitions have never been higher and anywhere from 36 to 38 orbital launches are scheduled between now and 2021 – some 65% of which will likely be internal Starlink missions.
If SpaceX manages to launch even half as many Starlink missions as it says it wants to this year, the company will be heading into 2021 with an operational internet satellite constellation nearly a thousand spacecraft strong – almost enough to ensure uninterrupted global coverage. Already, if SpaceX’s January 6th launch – known as Starlink V1 L2 (the second launch of v1.0 satellites) – goes as planned, the company will almost certainly become the owner of the world’s largest commercial satellite constellation less than eight months after it began launching its unique flat-packed spacecraft.
In a classic SpaceX move, the company’s Starlink satellite bus is a radical departure from all other commercial spacecraft, opting for a table-like rectangular shape that is extremely flat. While the rectangular shape – likely chosen for the extreme ease of manufacturing it should allow – significantly decreases packing efficiency, Starlink’s flat design and unique deployment mechanism means that SpaceX can fit an unprecedented 60 satellites (each weighing more than 250 kg or 550 lb) into a single lightly-modified Falcon 9 payload fairing.
Ultimately, SpaceX also design its Starlink satellites to be dramatically more robust than any comparable commercial spacecraft, meaning that they are meant to tolerate the violent acoustic launch environment without foam sound suppression panels that otherwise take up space inside Falcon 9’s fairing. Additionally, they are meant to survive the odd collision during their bizarre deployment, in which Falcon 9’s upper stage spins itself like a fan and releases the entire 60-satellite stack at once. Further, this means that Starlink satellites can be transported from their Washington state factory to Cape Canaveral, Florida far more easily and cheaply than almost any other spacecraft of a similar size and weight.
Falcon 9’s second fourth flight
It’s a mouthful, but SpaceX’s Starlink-2 mission will technically mark Falcon 9’s second fourth flight, meaning that it will be the second time a single Falcon 9 booster launches (and optimally lands) for the fourth time. Thrice-flown Falcon 9 booster B1049 has been assigned to support the launch.
The fourth completed Falcon 9 Block 5 booster, B1049 debuted on September 10th, 2018 on the Telstar 18V satellite launch, followed by a second flight (Iridium-8) in January 2019 and its third and most recent launch in May 2019. B1049’s most recent mission happened to be the very first dedicated Starlink launch, placing 60 Starlink v0.9 spacecraft in orbit in a sort of massive beta test of SpaceX’s cutting-edge satellite technology and design.
In support of Starlink V1 L1, the first launch of finalized Starlink v1.0 satellites, Falcon 9 booster B1048 became the first SpaceX rocket to successfully launch and land four times in November 2019, safely returning to shore aboard drone ship Of Course I Still Love You (OCISLY) a few days later. With (hopefully) two (and soon three) recovered boosters with four flights each under their belts, SpaceX will have a relative wealth of data it can then use to plot the way forward to fifth flights of boosters and beyond – halfway to the minimum Block 5 design goal of 10 launches apiece.
Teslarati photographer Richard Angle (@RDanglePhoto) will be on-site to capture SpaceX’s first Falcon 9 launch and booster recovery of the 2020s. Stay tuned for more details and photos as the launch nears!
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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
