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SpaceX acquires new photos of Starship landing sites with Mars-orbiting NASA satellite
SpaceX has reaffirmed its prioritization of the Arcadia Planitia – a low Martian plain – and adjacent areas as some of the most promising locations for early Starship landings, tasking a NASA satellite to gather updated photos of six potential landing sites.
First discovered and analyzed by author Robert Zimmerman on August 28th, SpaceX requested the landing site prospecting images from the University of Arizona, tasked with operating NASA’s JPL-built HiRISE spacecraft. Back before Red Dragon’s 2017 cancellation, SpaceX began the process of landing site analysis, a canvassing that ultimately settled on four possible locations, of which the Arcadia Planitia was viewed as most promising.
After at least 2.5 years of research, SpaceX thus appears to be confidently settling on one particular region of Mars for its first Starship landing(s) on the Red Planet. Located in Mars’ mid-northern latitudes, Arcadia Planitia – like its Latin namesake suggests – is a region of plains, specifically low plains per International Astronomical Union (IAU) standards. It has been described by NASA as “one of the few regions [of Mars] where abundant shallow ice is present at relatively low latitude”, desirable for an array of reasons.
Arcadia Planitia takes up much of the left-hand side of this spectacular 2017 panorama, stitched together from Mars Express images by Justin Cowart. On the scale of Martian spectacle, one could be forgiven for perceiving Arcadia as boring. In fact, that’s one of the main reasons SpaceX is interested in it – just as Arcadia looks rather featureless from orbit, it is relatively bereft of the boulder fields common in many other regions of Mars, translating into much less obstacle avoidance during landing.
Additionally, Arcadia Planitia is indeed a region of low plains – one of the lowest regions (relative to the mean surface level) on Mars. This translates into much higher atmospheric pressure (i.e. a thicker atmosphere), insulating the region from some of the extremes of Martian weather, as does its relative adjacency to the planet’s equator. Simultaneously, this wealth of atmosphere enables more efficient spacecraft landings. Per a September 2018 update, Starship is set to rely heavily on a series of atmospheric maneuvers to slow down, a strategy that significantly cuts the amount of propellant the spacecraft must use to land softly on Mars (and Earth!).
To tally: Arcadia Planitia offers (somewhat) warmer summers and winters due to its latitude, augmented by a low relative altitude that insulates the region from weather extremes and enables more efficient propulsive spacecraft landings.
However, perhaps more important than any of the above features is the fact that Arcadia Planitia is host to a vast wealth of water ice resources, ranging from frozen aquifers to glaciers in the adjacent Erebus Montes mountains. Of central importance to SpaceX’s strategy of affordably colonizing and exploring Mars is the decision to produce return propellant – needed for Starships to return to Earth – on Mars, known as in-situ resource utilization (ISRU). Starship’s use of methane and oxygen is almost entirely a result of this – methane is far easier to work with than hydrogen and can also be easily produced from water, as can oxygen.
The cleaner and more accessible the Martian water ice is, the easier it will be for SpaceX robots or astronauts to set up a propellant plant on Mars. Additionally, clean water is extremely expensive to transport in space, and a near-infinite supply of ice-derived water would be extremely useful for all sorts of human outpost needs.
SpaceX CEO Elon Musk believes that the company could be ready for Starship’s first uncrewed Mars launch as early as 2020 or 2022 Hohmann transfer opportunities, windows that permit a uniquely efficient journey from Earth to Mars.
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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
