News
NASA’s Mars Lander finds that the Red Planet’s magnetic field is really weird
Researchers studying the red planet uncovered a big surprise: the Martian magnetic field is about 10 times stronger than previously thought, and constantly changing.
NASA’s InSight lander, a stationary robotic explorer tasked with studying the Martian interior, has spent just over a year on the red planet’s surface. In that brief time, it’s learned a lot of new information about our celestial neighbor. Namely, that its magnetic field is changing rapidly.
InSight is the first Mars robot to be outfitted with a magnetic sensor, which allows it to study Mars’ magnetic field up close and in detail.
“The ground-level data give us a much more sensitive picture of magnetization over smaller areas, and [pinpoints] where its coming from,” Catherine Johnson, lead author on the new study and a professor at the University of British Columbia said in a statement. “In addition to showing that the magnetic field at the landing site was ten times stronger than the satellites anticipated, the data implied it was coming from nearby sources.”
InSight’s main objective is to help scientists understand how rocky planets grow and evolve by studying their interior. Before the lander touched down on the Martian surface, the planet’s magnetic field was measured by a fleet of satellites orbiting Mars. The satellites orbit at a distance, which could have skewed the data a bit.
Billions of years ago, Mars used to have a global magnetic field. That’s no longer the case, and scientists are trying to understand what happened. Without a global magnetic field, Mars’ atmosphere has slowly leaked out into space over billions of years.
There are localized magnetic fields, and thanks to InSight, we now know that they could have been attributed to ancient rocks buried beneath the planet’s surface. Johnson and her team are hopeful that InSight will be able to pinpoint which rocks are responsible and where exactly they’re located.
The new research, published this week in the journal Nature Geosciences, also suggests that the Martian magnetic fields are affected by the sun. No surprise there, as we learned with the Solar Orbiter and Parker Solar Probe missions, the sun affects everything in the solar system.
Charged particles emanate from the sun’s surface and whizz through the solar system, making up a celestial phenomenon called the solar wind. These particles carry a charge and as such can cause changes within the Martian magnetic fields when they come in contact with each other.
This was somewhat of a surprise as most of the previous observations have been from space looking down through the atmosphere. Here on Earth, our planet’s global magnetic field protects much of the surface from the solar wind. But, since Mars doesn’t have a global magnetic field, solar particles are able to make their way through the planet’s atmosphere and to the surface.
“Because all of our previous observations of Mars have been from the top of its atmosphere or even higher altitudes, we didn’t know whether disturbances in solar wind would propagate to the surface,” said Johnson. “That’s an important thing to understand for future astronaut missions to Mars.”
InSight’s sensor recorded fluctuations in the magnetic field between day and night, including several short, mysterious pulsations around midnight. According to Johnson, this confirms that sensors on the planet’s surface can detect processes in the upper atmosphere.
So what causes these mysterious pulsations? The team believes that they form in multiple ways: first from the solar wind and IMF enveloping the planet, and also from solar radiation charging the upper atmosphere and producing electrical currents, which in turn generate magnetic fields.
“We think these pulses are also related to the solar wind interaction with Mars, but we don’t yet know exactly what causes them,” said Johnson. “Whenever you get to make measurements for the first time, you find surprises and this is one of our ‘magnetic’ surprises.”
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
