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SpaceX Starship outfitted with Tesla battery packs and motors

SpaceX is working around the clock to prepare Starship SN3 for its first major test, apparently including the installation of two Tesla battery packs and a motor. (NASASpaceflight - bocachicagal)

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Following in the footsteps of the late Mk1 vehicle, SpaceX’s latest Starship prototype has been outfitted with several Tesla battery packs and motors over the last few weeks.

CEO Elon Musk has confirmed in the past that SpaceX intends to try to use Tesla batteries to power Starship rockets and Tesla motors to drive the ships’ large aerodynamic control surfaces. By all appearances, a Tesla Model S motor’s appearance on the exterior of a Starship prototype recently moved to the launch pad is a first for SpaceX. However, in 2019, SpaceX at one point planned to use and even installed battery packs on Starship Mk1 components before the ship was prematurely destroyed during testing. The nosecone those battery packs were installed in still sits in the middle of SpaceX’s growing Boca Chica rocket factory.

For Starship SN3, the purpose of its ~200 kWh of battery power is rather self-explanatory. The purpose of the Tesla Model S motor recently installed on its side is much less clear.

SpaceX is in the midst of preparing Starship SN3 for its first tests after assembling the rocket from next to nothing in less than a month. SpaceX transported the building-sized prototype a mile down the road to its Boca Chica launch site on March 29th, where dozens of workers have been poring over it day and night ever since. SpaceX originally wanted to attempt the ship’s first two tests yesterday, April 1st, but the scheduled times have come and gone while work continues. Several backup windows are ready on April 2nd, beginning shortly before this article went live (1am CDT, 06:00 UTC).

Regardless, with any rocket prototype, test schedules can be extremely fluid and are always liable to change. While SpaceX relies heavily on agile development strategies, beginning with a minimum viable product and iterating to something approaching feature-complete, there is some value in not turning the “move fast and break stuff” dial to 100%. In the case of Starship, the equivalent of tens to hundreds of thousands of work hours and several million dollars of hardware go into each prototype – incredibly cheap on the scale of aerospace development norms but still a significant chunk of change and effort. A few days or weeks of delays are an annoyance that can be suffered if it better guarantees a successful test, versus the alternative of potentially rushing and cutting corners.

Sunrise greets Starship SN3 and a team of SpaceX workers on April 1st. (NASASpaceflight – bocachicagal)

SpaceX is now up to roughly five days of delays while preparing Starship SN3 for testing. Originally scheduled as early as April 1st, SpaceX has moved a planned Raptor engine static fire test to no earlier than (NET) April 6th, to be followed no fewer than several days later by a 150m (500 ft) hop test. Of course, before it can safely attempt its first static fire (or hop), SpaceX needs to verify that Starship SN3 – finished just days ago – is up to the task.

Enter Tesla hardware. During ground testing, Starship will likely be continuously connected to ground power sources. It’s also possible that SpaceX has chosen to use its Tesla battery packs as the main power source to insulate it from local outages. Either way, if or when Starship SN3 makes it to flight tests, the battery packs would power the ship’s onboard avionics, landing legs, and any other necessary equipment. That latter category may be where Starship’s apparent Model S motor comes in.

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A member of the NASASpaceflight forum was first to realize that this appendage was almost certainly a Tesla Model S motor assembly. (NASASpaceflight – bocachicagal)

While it could simply be an early implementation test of the Tesla motors SpaceX wants to use to actuate Starship flaps and fins, there are no signs that SN3 will be outfitted with updated flaps and aerodynamic control surfaces more generally. For low-velocity testing, they’re simply unnecessary. Instead, it’s more likely that this Tesla motor is somehow involved in Starship’s autogenous pressurization system, a method of pressurizing tanks with the liquids they contain. Autogenous pressurization relies on a small portion of propellant (liquid oxygen and methane for Starship) being siphoned off and heated until it turns to gas. That oxygen or methane gas is then fed back into the tank it came from, keeping it at the pressure needed to feed Starship’s Raptor engines.

Autogenous pressurization is significantly more complex than the far more common use of helium or nitrogen pressurization systems. An electric pump could potentially be useful at several points throughout the process. Pump mystery aside, tune in to LabPadre’s 24/7 livestream below to follow along as SpaceX prepares to put Starship SN3 to the test for the first time.

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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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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