In a flash of dramatic irony, Andrew Wheeler, the Administrator of the US Environmental Protection Agency, praised the Trump administration’s Safer Affordable Fuel Efficient (SAFE) Vehicles rule, a rollback of fuel economy standards that would allow automakers to sell more polluting vehicles in the United States.
“Too many reporters fail to mention one very important point: the Obama era CAFÉ standards were not attainable by the auto industry. The truth is, the SAFE rule sets realistic standards, will reduce pollution, and save lives!” Wheeler posted.
Such statements, of course, attracted strong responses. In a call with reporters on Tuesday, California attorney general Xavier Becerra remarked that the EPA Administrator’s Twitter announcement was downright wrong. “(EPA administrator Andrew Wheeler) issued a tweet saying that this new rule would save lives, and reduce pollution, and that it would provide significant benefits to the American economy. In each case, he’s wrong,” Becerra said.
On Tuesday, the National Highway Traffic Safety Administration and the Environmental Protection Agency announced the SAFE standards that will take the place of the Obama-era Corporate Average Fuel Economy (CAFE) rules, which required about 5% annual improvements in fuel efficiency every year from carmakers.
Under the CAFE rules, the EPA noted that automakers would have been required to sell cars and light trucks with an average fuel efficiency of about 54 miles per gallon in 2026 model cars. With the current administration’s SAFE rules, vehicles could simply average about 40 miles per gallon by 2026 to meet the new standards.
In a way, Wheeler’s tweet boiled down to one point. The old CAFE standards were simply unrealistic, and America needs the new SAFE rules to make sure automakers and car buyers win out. Interestingly enough, the EPA official’s post came amidst an ongoing climate crisis and a literal pandemic that involves a virus attacking people’s capability to breathe.
Bad timing and taste aside, the EPA Administrator appears to have conveniently forgotten one particular American carmaker that has had absolutely no problem meeting the “unrealistic” standards of the Obama-era CAFE rules. This carmaker currently stands as the most valuable US-based automaker by market cap, and in recent quarters, it has even turned a profit, highlighting the argument that there is a substantial demand and a solid business model for zero-emissions vehicles.
This carmaker, of course, is Tesla. The company had been producing electric cars since 2008, and it has been mass-producing vehicles since 2012. With the Model 3, Tesla started breaking into the mainstream market, with some car buyers trading in otherwise more affordable vehicles to acquire the electric sedan. A crossover, the Model Y, has begun deliveries ahead of schedule, and if initial impressions from professional reviewers are any indication, there’s a good chance that the all-electric crossover will be a disruptor as well.
With the United States’ SAFE rules, automakers like Ford and GM will likely have less incentive to push electric cars. This may be detrimental to both companies, considering that leaked production plans from both GM and Ford have shown that the veteran automakers are still committed to the internal combustion engine despite their pro-EV rhetoric. This could be a costly move for GM and Ford, since territories outside the United States, such as Europe and China, have committed to electrification.
But amidst all these, there is a silver lining. If veteran automakers like Ford and GM will not step up to the plate and provide good electric cars to meet the demand from buyers, a new breed of EV companies will. Tesla has proven that a well-designed, feature-rich, all-electric car like the Model 3 can dominate their established internal combustion counterparts. There’s a good chance that vehicles like the Cybertruck, or perhaps Rivian’s R1T, could do the same for high-end F-150s and RAM trucks.
In a way, the adjustment of the United States’ emissions standards could prove to be an opportunity for electric car makers. Beyond the United States, after all, authorities are going all-in on electric cars. And for some territories such as Europe and China, there is no more turning back.
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
