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SpaceX launches first Starlink mission of 2023 after eight delays

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A Falcon 9 rocket has successfully launched SpaceX’s Starlink 2-4 mission after seven delays pushed it from November 2022 to January 2023.

Starlink 2-4 was originally scheduled to launch as early as November 18th, 2022, but was delayed shortly after its Falcon 9 rocket conducted a static fire test. The delay was indefinite, and that specific rocket ultimately launched a different commercial payload in late December. The internet satellite launch was finally rescheduled for January 9th, 2023, kicking off a string of additional delays. Weather delayed the January 9th attempt. Issues with Falcon 9’s second stage delayed the January 10th attempt. Additional “pre-launch checkouts” delayed the launch from January 11th to the 14th, which was then pushed to January 15th for “constellation optimization.

Poor weather delayed Starlink 2-4 from January 15th to January 18th, and SpaceX eventually delayed the mission to January 19th without explanation. On January 19th, SpaceX even delayed Starlink 2-4 an eighth time, from 7:23 am PST to 7:43 am PST. But at long last, Starlink 2-4 did, in fact, lift off at 7:43 am PST, ending the longest streak of delays experienced by SpaceX in several years.

In a rare twist, the first delay caused SpaceX to shuffle booster assignments, and Starlink 2-4 wound up with B1075. B1075 had never flown before, making Starlink 2-4 the second Starlink mission that has debuted a new Falcon booster. Ordinarily, SpaceX has always reserved new boosters – of which only a handful are built annually – for its more conservative customers. The US military in particular was slow to warm up to the idea of flying operational “national security” payloads on reused Falcon boosters, and often required (and paid for) new boosters whenever possible.

But even that wall mostly crumbled in 2022. SpaceX debuting another new Falcon 9 booster on its own low-priority Starlink mission is perhaps the best evidence of that. NASA and the US military have simply come to trust SpaceX’s flight-proven Falcon boosters, and no longer feel the need to reserve every new Falcon 9.

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Falcon 9 booster B1075 ultimately aced its orbital-class launch debut and touched down on drone ship Of Course I Still Love You (OCISLY) about nine minutes after liftoff. Assuming the seas are calm enough for B1075 to survive the return to Port of Long Beach, it likely has a long life of 15+ launches ahead of it. The Falcon upper stage launched by B1075 eventually reached low Earth orbit (LEO) and deployed another 51 Starlink V1.5 satellites about 30 minutes after liftoff. Starlink 2-4 should leave SpaceX with almost 3400 working Starlink satellites in orbit.

OCISLY gets an upgrade

B1075’s landing also revealed upgrades SpaceX has made to drone ship OCISLY since it was last used in October 2022. Harry Stranger first discovered the changes with satellite imagery, which revealed that SpaceX was upgrading OCISLY’s rectangular with angular ‘wings’. The wings appear to be identical to those installed on SpaceX’s newest drone ship, A Shortfall of Gravitas. ASOG debuted in mid-2021 with a number of upgrades not present on SpaceX’s two other drone ships. Most were intended to improve the ship’s resiliency, availability, and autonomy.

Drone ship ASOG is pictured in June 2022 with Falcon 9 booster B1060. (Richard Angle)

According to photographer Jerry Pike, the angular wings on ASOG (and now OCISLY) could make the drone ship much easier to tow. Reducing drag could also increase the effectiveness of their existing propulsion systems, potentially allowing them to maintain their position in harsher sea conditions and stronger currents than before. SpaceX CEO Elon Musk has previously stated that the ultimate goal is a fully-autonomous drone ship capable of heading to sea, recovering Falcon boosters, and returning to port without human intervention.

There is no evidence that SpaceX is any closer to that goal since ASOG’s debut 16 months ago. Nonetheless, OCISLY’s upgrades should improve the drone ship’s usability as SpaceX attempts to launch (and land) up to 100 rockets in 2023.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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Credit: @BLKMDL3/X

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.

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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.

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Credit: xAI

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.

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“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.

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Credit: Grok Imagine

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:

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  • 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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