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Martian auroras offer clues to how the red planet lost its water
Aurorae are a dazzling light spectacle often visible at high-latitude locations here on Earth. They’re colorful and mesmerizing, but most of all, they’re mysterious.
A new study has found that this same phenomenon also happens on Mars. In research presented last week at the American Geophysical Union’s annual Fall meeting, scientists revealed that the most common form of Martian aurorae is called the proton aurora.
Just like the auroras we see here on Earth, proton aurorae are formed when the solar wind—a stream of charged particles emanating from the Sun—interacts with the atmosphere. That interaction often manifests itself as a mesmerizing swirl of colored lights in the night sky.
On Mars, however, the auroras appear during the daytime and onlookers would need special ultraviolet glasses to see them. That’s because they’re invisible to the naked eye, but can be spotted with special UV instruments.
These auroras aren’t just a future Martian tourist attraction, they have a scientific value. We could better understand how Mars is losing water to space and more about how the planet’s climate is changing.
Proton auroras were first discovered in 2016 by NASA’s Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft. MAVEN is investigating how the Red Planet lost its atmosphere and water, ultimately transforming its climate from one that may have supported life to one that is inhospitable.
The observed aurora can help researchers track the amount of water lost since the auroras are related to water loss.
“In this new study using MAVEN/IUVS data from multiple Mars years, the team has found that periods of increased atmospheric escape correspond with increases in proton aurora occurrence and intensity,” Andréa Hughes of Embry-Riddle Aeronautical University in Daytona Beach, Florida said in a news release.
Auroras on both planets start with the same source: the solar wind. On Earth, they appear when the solar wind slams into our planet’s magnetic field. High-energy collisions occur as the charged solar particles interact with particles of atmospheric gas. Each type of particle produces a different colored light in the sky.
Martian auroras start in much the same way, charged particles from the solar wind collide with a cloud of hydrogen that surrounds the red planet. When this happens, protons in the solar wind become neutral after stealing electrons from the hydrogen atoms. They then collide with other molecules in the Martian atmosphere, producing an ultraviolet glow.
Since the hydrogen cloud surrounding the planet is created in part by water being lost to space, this could give scientists a way to measure the amount of water lost over time.
When the MAVEN team first observed the proton aurora, they thought they were witnessing an unusual phenomenon. “At first, we believed that these events were rather rare because we weren’t looking at the right times and places,” Mike Chaffin, a research scientist at the University of Colorado Boulder’s Laboratory for Atmospheric and Space Physics (LASP) said in a statement.
After Chaffin’s team took a closer look, they discovered that the proton auroras occur quite frequently, especially in the summer. This is probably due to seasonal variation in the hydrogen cloud that surrounds Mars. The team noted that during the Martian summer, the cloud lines up just right to produce near-constant auroras.
But that’s not all. The researchers also discovered that as temperatures climb during the summer, rising dust clouds would carry water vapor away from the planet’s surface. That water vapor is then broken down into its components: hydrogen and oxygen. As more hydrogen escapes into space, it enhances the hydrogen cloud enveloping Mars and ultimately leads to more frequent (and brighter) proton auroras.
“Observations of proton auroras at Mars provides a unique perspective of hydrogen and, therefore, water loss from the planet,” physicist Edwin Mierkiewicz of Embry-Riddle Aeronautical University in Florida said in a statement.
“Through this research, we can gain a deeper understanding of the Sun’s interactions with the upper atmosphere of Mars and with similar bodies in our Solar System, or in another solar system, that lacks a global magnetic field.”
So, if we ever do make it to Mars, those first visitors are going to witness some truly out-of-this-world sights—as long as they packed their ultraviolet goggles.
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
