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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’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
