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SpaceX Starship outfitted with Tesla battery packs and motors
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.

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.

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.
Elon Musk
Elon Musk’s last manually driven Tesla will do something no other production car will do
Elon Musk confirmed the Roadster as Tesla’s last manually driven car, with a debut coming soon.
During Tesla’s Q1 2026 earnings call on April 22, Elon Musk made a brief but notable comment about the long-awaited next generation Roadster while describing Tesla’s future vehicle lineup. “Long term, the only manually driven car will be the new Tesla Roadster,” he said. “Speaking of which, we may be able to debut that in a month or so. It requires a lot of testing and validation before we can actually have a demo and not have something go wrong with the demo.”
That single statement is the entire Roadster update from yesterday’s call, and while it represents another timeline shift, it comes as no surprise with Tesla heads-down-at-work on the mass rollout of its Robotaxi service across US cities, and the industrial scale production of the humanoid Optimus.
The fact that Musk specifically framed the Roadster as the last manually driven Tesla is significant on its own. As the rest of the lineup moves toward full autonomy, the Roadster becomes something rare in the Tesla-sphere by keeping the driver in control. Driving enthusiasts who buy a $200,000 supercar are not doing so to be passengers. They want the physical connection to the road, the feel of acceleration under their own input, and the experience of controlling something with that level of performance. FSD, however capable it becomes, removes that entirely. The Roadster signals that Tesla understands this distinction and is building a car specifically for the people who consider driving itself the point.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
The specs for the Roadster Musk has teased over the years are genuinely unlike anything in production. The base model targets 0 to 60 mph in 1.9 seconds, a top speed above 250 mph, and up to 620 miles of range from a 200 kWh battery. The optional SpaceX package takes it further, rumored to add roughly ten cold gas thrusters operating at 10,000 psi, borrowed directly from Falcon 9 rocket technology. With thrusters, Musk has claimed 0 to 60 mph in as little as 1.1 seconds. In a 2021 Joe Rogan interview he went further, stating “I want it to hover. We got to figure out how to make it hover without killing people.” Tesla filed a patent for ground effect technology in August 2025, suggesting the hover concept has not been abandoned. The starting price remains $200,000, with the Founders Series requiring a $250,000 full deposit. Some reservation holders placed those deposits in 2017 and are approaching a full decade of waiting.
With production now targeted for 2027 or 2028 at the earliest, the Roadster remains Tesla’s most audacious promise and its longest-running delay. But if what Musk is testing lives up to even half of what he has described, the demo alone should be worth waiting for.
Elon Musk says the Tesla Roadster unveiling could be done “maybe in a month or so.”
He said it should be an extraordinary unveiling event. pic.twitter.com/6V9P7zmvEm
— TESLARATI (@Teslarati) April 22, 2026
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
