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SpaceX CEO Elon Musk talks Starship space telescopes, artificial gravity
In his latest batch of tweets, SpaceX CEO Elon Musk says that the company is already thinking about the many potential ways its next-generation Starship launch vehicle could be used in space.
Already, ideas publicly touted by the SpaceX CEO range from using Cargo Starships to clean up space debris with its mouth-like payload bay to a stripped-down, expendable variant of the rocket to rapidly send massive spacecraft throughout the solar system. Now, Musk says that SpaceX has also considered tethering Starships together in space to create a form of artificial gravity for passengers on multi-month journeys between planets, as well as the possibility of turning entire Starships into all-in-one orbital observatories a magnitude more powerful than Hubble.
Apparently invoked during discussions with astrophysicist and Nobel laureate Saul Perlmutter, at least parts of the physics community are already considering the possibilities offered by using Starship as a sort of foundation or spacecraft bus that could carry and operate vast scientific payloads. While Starship has already been officially floated several times as a serious contender for launch services for major future missions, this concept would instead see Starship function as the spacecraft itself.
As of 2021, Starship has yet to reach space or orbit once, but SpaceX isn’t far from that milestone. Eventually, perhaps just a few years from now, Starship will have successfully launched to and operated in orbit dozens or even hundreds of times and become a mature and reliable spacecraft.
At that point, it wouldn’t be out of the question to entrust Starships themselves to serve as long-lasting scientific spacecraft, exploiting a ‘bus’ that could offer abundant power, propulsion, thermal management, navigation, and communications capabilities to any ‘hosted’ payloads. That includes extensively modifying Starships on the ground to create vast space observatories, among numerous other possibilities.
Given Starship’s low production cost, 9-meter (~30 ft) diameter, and nominal ability to deliver at least 100 metric tons (~220,000 lb) of payload to low Earth orbit (LEO), it’s not inconceivable that ships could be outfitted with massive telescopes and scientific instruments. Perhaps more importantly, drastically reduced payload constraints (more than an order of magnitude relative to the Hubble or James Webb telescopes) could allow major innovation in spacecraft/instrument design, radically lowering costs while still improving reliability, redundancy, and performance.
Meanwhile, Musk says that SpaceX has also considered tethering crewed Starships together and spinning them around the center of that tether to create artificial gravity for crewmembers on months-long journeys between Earth, Mars, and other planets. Among fan communities, the tethered gravity concept has been circulating ever since SpaceX first announced Starship in 2016. Loosely researched by NASA and other institutions for decades, no real experimental efforts – save for a single halting test during a 1960s Gemini mission – have ever been pursued.
For Starship, orbital refueling could easily allow SpaceX to cut crewed Earth-Mars transit time to 100 days or less – subjecting astronauts to significantly less time in microgravity than those that crew the International Space Station (ISS). The value proposition of artificial gravity on 3-month cruises is likely substantially less clear-cut given the far-reaching complexity and modifications required to make such a system functional and make Starships compatible.
Regardless, Musk rather cryptically says that SpaceX has considered the concept, though he didn’t elaborate on whether the company ultimately decided to drop the subject or pursue it further.
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 – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $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
