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SpaceX’s first West Coast Falcon 9 launch in eight months now set for early 2020

Falcon 9 B1048 produced a truly spectacular nebula-like cloud of sunlit exhaust during the October 2018 launch of SAOCOM-1A. SAOCOM-1B is now tracking towards a February 2020 launch. (Tom Cross)

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After what is set to be a more than 8-month lull, SpaceX’s California launch facilities are scheduled to support a Falcon 9 launch no earlier than February 2020.

Speaking at 2019’s World Satellite Business Week, Raúl Kulichevsky – a director at the Comisión Nacional de Actividades Espaciales (CONAE), Argentina’s national space agency – confirmed that the country’s SAOCOM-1B Earth observation satellite making great progress towards that launch target.

The launch was recently pushed into January and later March of 2020 after minor satellite production delays ended plans for a late-2019 launch. On a recent positive note, Deputy Executive and Technical Director of CONAE Raúl Kulichevsky indicated that SAOCOM-1B’s Falcon 9 launch was now planned a month or so earlier than previously expected and is on track for a February 2020 liftoff from Vandenberg Air Force Base (VAFB).

This small but positive schedule bump comes just a week or so after CONAE engineers and technicians wrapped up a major SAOCOM-1B integration milestone, successfully attaching the satellite’s main imaging instrument – a large phased-array radar – to its bus (the primary structure). This work is ongoing in Bariloche, Argentina, a spectacular town surrounded by the Andes mountain range and glacier-fed lakes. Aside from the electrical and mechanical integration of SAOCOM-1B’s radar and bus, the CONAE team completed the installation of thermal insulator blankets. Up next will be the attachment of two solar arrays and associated deployment tests, followed by integrated center-of-gravity measurements and vibrational/acoustic load tests.

This May 2019 photo shows off the spectacular interior of SAOCOM-1B’s main bus, an extremely rare view of the swath of internal systems that allow satellites to function in orbit.

Assuming a successful launch early next year, SAOCOM-1B will join its SAOCOM-1A sister satellite in a sun-synchronous orbit (SSO), completing the L-band Satélite Argentino de Observación Con Microondas Synthetic Aperture Radar (SAR) constellation. In an agreement called Sistema Italo Argentino de Satélites para la Gestión de Emergencias (SIASGE), the completed SAOCOM constellation will work in conjunction with Italy’s four-satellite COSMO-SkyMed constellation to provide accurate and persistent Earth observations and support disaster monitoring efforts around the world.

CONAE hopes to eventually expand its SAOCOM constellation with the future development and deployment of two SAOCOM-2 spacecraft.

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An overview of the joint Italy-Argentina SIASGE constellation, featuring two SAOCOM-1 and four COSMO-SkyMed satellites. (CONAE)

The SAOCOM-1A satellite was launched in a spectacular fashion in October 2018, producing a nebula-like cloud of sun-lit Falcon 9 exhaust that was visible for hundreds of miles. The SAOCOM-1A marked the second launch of Falcon 9 booster B1048 and also featured SpaceX’s first successful West Coast Return-to-Launch-Site (RTLS) landing.

Falcon 9’s SAOCOM-1B mission will come long after SpaceX’s most recent West Coast launch – the June 2019 launch of the Canadian Space Agency’s (CSA) RADARSAT Constellation Mission (RCM). West coast observers and launch teams are sure to welcome the launch of the SAOCOM-1B mission after what is set to be more than eight months spent without a launch.

Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.

Space Reporter.

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Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

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Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

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Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

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Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

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The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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