News
SpaceX begins work on Starship orbital propellant transfer test for NASA
More than six months after SpaceX won a NASA ‘Tipping Point’ award to demonstrate a large-scale cryogenic propellant transfer in orbit with Starship, the agency has begun disbursing funds, officially kicking off work on the mission.
Back in October 2020, NASA awarded 15 different companies more than $370 million for research and development projects related to managing cryogenic propellant in space, lunar surface operations, and autonomous landing technology. More than two-thirds of that funding went to four real in-space demonstrations of cryogenic propellant management and storage from Lockheed Martin, United Launch Alliance (ULA), SpaceX, and little-known startup Eta Space.
All four missions are fascinating in their own rights. Leaning heavily on Rocket Lab’s small Electron rocket and Photon spacecraft/kickstage, Eta Space will launch a tiny “cryogenic oxygen fluid management system” and demonstrate its performance for some nine months in orbit. Lockheed Martin will perform a similar but slightly larger test with cryogenic liquid hydrogen – far colder and much harder to handle – in low Earth orbit (LEO). Despite major investments in launch startup and competitor ABL Space, Lockheed Martin selected rocket-3D-printing startup Relativity to launch the mission – possibly because the company says it will be able to print a custom fairing to accommodate the payload’s unusual dimensions.
While vague, ULA appears to have plans to test the claimed long-duration coast capabilities of the Vulcan rocket’s Centaur V upper stage, though it’s unclear if that testing will be performed on the ground or in space. Finally, NASA awarded SpaceX $53 million for a “large-scale flight demonstration to transfer 10 metric tons of…liquid oxygen…between tanks on a Starship.”
In the context of NASA’s shocking April 2021 decision to competitively award SpaceX – and SpaceX alone – a $2.9 billion contract to return humanity to the Moon with Starship, the agency’s $53M investment in a demonstration of a capability Starship cannot reach the Moon without seems like a no-brainer. On its own, SpaceX’s next-generation fully-reusable Starship launch vehicle is expected to be able to deliver payloads of 100 to 150 metric tons (220,000-330,000 lb) to LEO. However, to make Starship fully reusable, the ship itself – also serving as the upper stage – is extremely heavy, drastically undercutting its performance to higher orbits.
To high Earth orbits, a lone Starship offers performance akin to SpaceX’s own Falcon Heavy. For Starship to be a truly revolutionary rocket, SpaceX will have to master rapid reusability and orbital refueling. Even with moderate refueling, Starship’s potential performance immediately leapfrogs all other existing and planned rockets. With full refueling in LEO, Starship quickly becomes capable of delivering dozens to 100+ tons of cargo and passengers to the surface of Mars. With refueling in high Earth orbit, Starship could land hundreds of tons on Earth’s Moon and likely launch cargo and spacecraft anywhere in the solar system in short order.
Ultimately, US Federal Procurement Database entries show that NASA ultimately procured $50.4 million for SpaceX’s propellant transfer demonstration, began disbursing funds ($15.1M) on May 4th, 2021, and expects SpaceX to complete work by the end of 2022. It’s unclear if NASA expects SpaceX to recover the Starship involved in the test.
If the rest of NASA’s funding is contingent upon successfully returning Starship for hands-on inspections and maximum data recovery, 2022 is a more reasonable target. If NASA deems data returned from orbit satisfactory, on the heels of SpaceX filing for an orbital Starship launch debut as early as next month, that demonstration mission could easily happen this year given that SpaceX only needs to launch one Starship to complete it.
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.
Credit: TESLA
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.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
