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The Tesla Semi will shake the trucking industry to its roots
Elon Musk’s new Master Plan calls for an expansion of its vehicles into other categories, including buses and heavy duty trucks, both of which will unveiled in about a year. Undoubtedly, carbon emissions worldwide would fall precipitously if the general automobile consumer transitioned to a tailpipe-free electric Tesla, but that’s not what Elon Musk is after. His goal is a full frontal assault on carbon emissions of all kinds including a Tesla Semi. His objective is for nothing less than a world that no longer uses fossil fuels to power its transportation system, even on a commercial scale.
Looking back at the Volkswagen diesel scandal and why it was significant, beyond morality, diesel engines especially heavy-duty diesel trucks spew emissions on another level. To make the problem worse, passenger cars normally have a useful life of around 200,000 miles. Diesel powered tractors can be on the road for a decade or more, spewing out toxins for millions of miles before they are replaced. The pollution control systems on older trucks are rudimentary at best.
In Southern California, the pollution from drayage trucks that haul shipping containers from ports to inland distribution centers is so bad, it has sparked a number of plans to replace them with electric versions. One solution proposed by Siemens calls for equipping trucks with pantographs so they can draw electricity from overhead wires along their routes.
Former Tesla executive Ian Wright sold his stock in Tesla Motors when Elon Musk came on board. Wright wanted to attack the challenges of truck pollution rather than build some silly sports car. He has since created his own company called Wrightspeed that focuses on cleaning up the emissions from heavy duty garbage trucks. He has invented a new form of hybrid powertrain that uses a small gas turbine to recharge the batteries. The turbine is so clean, it doesn’t even need a catalytic converter to meet California’s stringent emissions rules.
The problem with electric trucks today is that the batteries need to be so large and heavy they would take up much of the space available for hauling freight. Not only that, they would be prohibitively expensive. The Wrightspeed system is a compromise that attempts to strike a balance between cost and range. It has attracted international attention and the company has recently signed a contract to re-power a fleet of diesel buses in New Zealand.
The allure of electric trucks has created an opportunity for hucksters and charlatans. Earlier this year, a Florida company calling itself Oakridge Global Energy Solutions said it had developed a battery for Freedom Trucking of Minneapolis that would haul an 80,000 lb. load 400 miles. That claim turned out to be vaporware.
Another entrant into the heavy truck sweepstakes is a company calling itself Nikola Motors — a rather obvious attempt to somehow conflate what it is doing with the work of Tesla Motors. It says its Nikola One tractor will have 2,000 horsepower. 3,700 lb-ft of torque, a 325 kWh battery, 6 wheel drive with torque vectoring and 1,200 miles of range. It relies on an onboard natural gas turbine to keep the battery charged while driving.
The design concept for the Nikola One is visually appealing and the company says it has 7,000 pre-orders for the truck worth a total of $2.3 billion. Of course, it currently has no factory, no battery factory, and little corporate infrastructure other than its website.
We can assume the Tesla Semi will not have a range extender engine of any type. How Tesla will make an electric tractor that can haul heavy loads long distances that is cost competitive remains unclear. But if Elon says that’s what Tesla will do, we can be pretty sure it will — eventually.
JB Straubel says he and Elon talked about electric airplanes long before they decided to build automobiles. And ocean going cargo vessels are some of the worst polluters on the face of the planet. Musk probably has a plan for them, too. Look for those ideas to be part of Master Plan Numero Tres.
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.