News
NASA may prematurely kill long-lived Mars rover with arbitrary wake-up deadline
In a decision with no obvious empirical explanation, JPL’s Opportunity Mars rover project manager John Callas was quoted in an August 30th press release saying that the NASA field center would be “forced to conclude” that the dust storm-stricken rover was effectively beyond saving if it fails to come back to life 45 days after 2018’s massive dust storm can be said to have officially ended.
Below the upbeat-sounding title of this press release is the scarier fact that after tau clears below 1.5, the rover has 45 days to wake up before NASA stops actively trying to revive it. Come on, #WakeUpOppy https://t.co/piCQLeaCEO
— Emily Lakdawalla (@elakdawalla) August 30, 2018
Over the course of that press release, Callas made a number of points that may technically hold at least a few grains of truth, but entirely fail to add up to any satisfactory explanation for the choices described therein. This is underscored in one critical and extended quote:
“If we do not hear back [from Opportunity] after 45 days, the team will be forced to conclude that the Sun-blocking dust and the Martian cold have conspired to cause some type of fault from which the rover will more than likely not recover. At that point, our active phase of reaching out to Opportunity will be at an end. However, in the unlikely chance that there is a large amount of dust sitting on the solar arrays that is blocking the Sun’s energy, we will continue passive listening efforts for several months.” – John Calwell, JPL
Scott Maxwell, a former JPL engineer who led drive planning for rovers Spirit and Opportunity, solidly explained the differences between active and passive recovery attempts:
Because it's a FAQ … "active listening" has two parts: (1) forcing Opportunity's radio, if she's listening, to a particular frequency (because it can drift), and (2) a command to talk to us. Pretty much guaranteed to work if she's awake with her radio on. https://t.co/iaHbHXFKqm
— 🇺🇦ScottMaxwell @marsroverdriver@deepspace.social (@marsroverdriver) August 31, 2018
The JPL press release offers exactly zero explanation for the “45-day” deadline, starting the moment that dust clears from Martian skies near Opportunity to a certain degree, likely to happen within the next few weeks. Nor does it explain why “active” recovery attempts would stop at that point, despite the fact that the PR happens to directly acknowledge the fact that the best time to attempt to actively restore contact Opportunity might be after Mars’ windy season is given a chance to blow accumulated dust off of the rover’s solar arrays.
In fact, while all points Callas/the press release makes may theoretically be valid, the experiences of the actual engineers that have been operating Opportunity and MER sister rover Spirit for nearly two decades suggest that his explanations are utterly shallow and fail even the most cursory comparison with real data.
Thanks largely to a number of comments collected by The Atlantic from past, present, and anonymous employees involved with Opportunity, it would seem that there is no truly empirical way to properly estimate the amount of dust that may or may not be on the rover’s solar arrays, no rational engineering-side explanation for the 45-day ultimatum, no clear excuse for how incredibly short that time-frame is, and essentially zero communication between whoever this decision originates from and the engineers tasked with operating and restoring communications with the forlorn, 15-year old rover.
Most tellingly, this exact impromptu dust-storm-triggered hibernation already occurred several times in the past, and even resulted in the demise of Opportunity’s sister rover Spirit in 2010. The Atlantic notes that when a dust storm forced that rover into hibernation in 2010, JPL mission engineers spent a full ten months actively attempting to resuscitate Spirit, followed by another five months of passive listening before the rescue effort was called off.
Given that Opportunity’s engineers appear to believe that there is every reason to expect that the rover can, has, and should survive 2018’s exceptional Martian dust storm, the only plausible explanation for the arbitrary countdown and potentially premature silencing of one of just two active rovers on Mars is purely political and financial. While it requires VERY little money to operate scientific spacecraft when compared with manufacturing and launch costs, the several millions of dollars needed to fund operations engineers and technicians (roughly $15 million per year for Opportunity) could technically be funneled elsewhere or the employees in question could be redirected to newer programs.
For example, the ~$200 million spent operating the rover from 2004 to 2018 could instead fund considerably less than 20% of the original cost of building and launching both Opportunity and Spirit. This is to say that that cutting operation of functioning spacecraft to save money can be quite fairly compared with throwing an iPhone in the trash because the charging cable ripped because $10 could instead be put towards buying a new phone months or years down the line.
Ultimately, all we can do is hope that Opportunity manages to successfully wake up over the course of the next two or three months. If the rover is unable to do so, chances are sadly high that it will be lost forever once active communications restoration efforts come to an end. With an extraordinarily productive 15 years of exploration nearly under its belt, Opportunity – originally designed with an expected lifespan of ~90 days – would leave behind a legacy that would fail to disappoint even the most ardent cynic. Still, if life may yet remain in the rover, every effort ought to be made to keep the intrepid craft alive.
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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
