News
Martian dust storms are driving away spacecraft-saving dust devils
Dust devils are pretty common on Mars – the Red Planet is, after all, a very dusty and windy place. What’s a bit more rare is capturing one of the whirling devils on film. That’s because they fade away nearly as quickly as they appear.
But in October 2019, NASA’s Mars Reconnaissance Orbiter managed to snap a photo of a massive dust devil in action, courtesy of the Mars Reconnaissance Orbiter’s High Resolution Imaging Science Experiment (HiRISE), a powerful camera that’s been snapping photos of the Martian surface since 2006.
NASA’s first glimpse of one of these dust storms came in 1971 when the Mariner 9 spacecraft — the first to orbit another planet — arrived at the red planet. Since then, we’ve seen quite a few of these dusty spectacles global storms: in 1977 (twice), 1982, 1994, 2001, 2007 and 2018.
In 2018, we lost the Opportunity rover to the strongest dust storm ever observed on Mars. It blotted out nearly all of the sun’s light for several weeks, turning day into night and preventing the rover from being able to charge its batteries. (Opportunity and its twin, Spirit, ran on solar power, as opposed to Curiosity and the Mars 2020 rover, which run on nuclear power.)
Martian dust storms are common, especially at specific times in the year, like during the southern hemisphere’s spring and summer. Localized storms tend to last a couple of days and can cover regions of the planet the size of the United States. But planet-encircling ones are a different story.
These massive, global storms are usually unpredictable, and can linger for months at a time. “We still don’t know what drives the variability, but the 2018 storm gives another data point,” says Scott Guzewich, an atmospheric scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, who’s a lead in NASA’s dust storm investigation.
Dust devils are rotating columns of air and dust that form when hot air from the surface rises. The current of air created forms a whirlwind, which can be useful for clearing off solar panels on spacecraft as they pass over.
As we move towards potential human missions we need to know how the dust will affect astronauts as well as their equipment. Understanding how often these phenomena occur will be extremely helpful for future missions.
During the dust storm of 2018, Curiosity was able to collect data about the storm, watching as its effects were felt half a world away from where Opportunity sat, hunkered down and hibernating.
Curiosity discovered that dust devils disappear during a dust storm, which happens to be when we need them the most. And they’re gone for several months afterwards as well. This is because the storm interrupts the wind-generating processes that spawn the dust devils.
According to Guzewich, understanding a global storm’s impact on dust devils is a crucial component in planning how to manage equipment during future Mars missions. “You need to be prepared to go a while before your next dust devil passes over and cleans you off,” he said.
Researchers at the University of Arizona recently published details on a newly photographed dust devil, which formed on the volcanic plains of Amazonis Planitia.
According to the HiRISE imaging team, the core of the dust devil is 164 feet (50 meters) wide, and probably about 2,32 feet (650 meters) tall. As massive as it sounds, there are even larger ones whirling around.
In March 2012, HiRISE took a photo of an active dust devil that was a whopping 12 miles (20 kilometers) tall. But was only slightly wider than the most recent one, at just over 229 feet (70 meters) wide.
For the first time, humanity has a fleet of spacecraft orbiting Mars as well as one rover roaming the surface right now (with two more to follow in the coming months). With their help, scientists will be able to better understand this puzzling phenomenon.
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
