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Mars rover to Earth, this red planet has a methane problem
NASA’s Curiosity rover has been exploring an area of Mars called Gale Crater, since landing on the red planet in 2012. It was tasked with assessing the habitability of Mars. What was Mars like in the past? Were the conditions right for life?
Let’s be clear, Curiosity was not equipped with the instruments needed to identify life forms, but it can tell us if conditions were right for life to have survived.
Throughout its time on the red planet, Curiosity has discovered a bit of an enigma: Mars has methane and the abundance changes with the seasons. Big surges of methane can indicate that some sort of biological process is taking place, but that’s not always the case. And it’s not a definitive sign of life.
Methane is a gas produced by one of two methods on Earth: biological and geological. That means that some sort of life form could be producing or perhaps there’s some sort of geological explanation.
This is puzzling to scientists back on Earth because the Martian methane has been detected by ground-based telescopes. But recent orbital data from Mars shows the minuscule amounts of methane are gone.
In fact, the Trace Gas Orbiter (TGO)—a joint European and Russian mission—which launched in 2016 and was designed to sniff-out trace gases, such as methane, says the Martian air is basically methane-free.
But, NASA’s Curiosity rover may have just taken a big step forward in understanding this conundrum.
Curiosity’s detection of methane is nothing new. The six-wheeled rover has detected surges in methane throughout its mission. The most recent occurrence, recorded in June 2019, showed staggeringly high levels of methane—21 ppb (parts per billion). That’s the highest the rover has recorded to date.
Neither TGO nor its counterpart, the Mars Express orbiter, detected any methane at all in June.
TGO has detected minute amounts of methane—around 0.012 ppb—during its first few months of science operations. That’s equivalent to roughly 30 times less than what Curiosity sees. (Mars Express did detect the first methane surge that Curiosity spotted in June 2013.)
Why is there such a discrepancy between ground measurements and orbital data? The Curiosity science team has a few ideas.
First off, there could be some sort of atmospheric process taking place that is scrubbing it out of the atmosphere. Curiosity takes measurements on the ground and detects the methane, while TGO orbits the planet and does not. This means that something happens to it as it travels upwards through the atmosphere.
Another explanation could be atmospheric expansion and contraction. Mars has an atmosphere, albeit an incredibly thin one compared to Earth’s. Every day the heat from the sun causes the atmosphere to expand and contract.
As the atmosphere expands during the day, the methane could become more diffuse. Since Curiosity measure methane at night, when the rover is less busy, it could explain why the methane appears more abundant. That means that the rover is sniffing the atmosphere when its more dense, which means the methane concentration would be greater.
The team plans to take some daytime methane measurements and compare those with orbital data. This will give the team some insights into why the data is so different. Once they have that puzzle solved, they can move onto larger questions, like what generates the methane?
It’s also entirely possible that the gas may have been generated billions of years ago in deep, underground pockets, and it’s just now seeping up through the bedrock. Only time and more measurements can tell.
NASA is sending its next-generation Mars rover to the red planet this July. Dubbed the Mars 2020 rover, the vehicle is a souped-up version of Curiosity. This rover will not only be able to look for biosignatures (or signs of life), it will also bag up samples for a future return to Earth.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
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Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
