News
Tesla Semi cabin’s Model 3-inspired elements showcased in new video
A video featuring a rare look at the Tesla Semi’s cabin was recently uploaded on YouTube. As could be seen in the short clip, the all-electric long-hauler features some compelling design elements, from components inspired by the Model 3 to a mysterious pedal beside the vehicle’s brakes.
The Semi’s recent video was uploaded by Moldova-born YouTuber and truck enthusiast Andrew Black, who was able to get up close and personal with the all-electric long-hauler. The Tesla Semi in the video was hauling a trailer from Xtra Lease Trailers, suggesting that the truck was in a transport run when the footage was taken.
Immediately noticeable from the Tesla Semi’s cabin was how roomy and spacious it was. Even with the jumpseat for the passenger unfolded, the electric truck still has a very roomy feel. Upfront, several design elements pop up, the most notable of which is an air vent inspired by the Model 3. The Tesla Semi also features a clean, minimalistic, end-to-end dashboard that runs from one side of the vehicle to the other.
In a lot of ways, the Tesla Semi actually borrows some components from the Model 3. Apart from its end-to-end HVAC system, the Semi also uses the same electric motor as the compact electric car (it has four Model 3-derived electric motors). The Semi is fitted with what appears to be the door handles of the Model 3, as well as dual touchscreen controls that invoke the compact electric car’s landscape-oriented center touchscreen. The size of the Semi’s two touch panels have not been mentioned by Tesla, but based on Black’s recent video, it seems safe to assume that its dual displays are also 15-inch panels.
One thing that grabs the attention from the video, however, was a rather mysterious pedal that could be seen near the 1-minute mark. As the camera was being panned across the Tesla Semi’s cabin, the all-electric truck’s accelerator and brake pedals could be seen prominently. To the left of the brakes, however, was seemingly another pedal. Unlike the dead pedal found in the Model S, Model X, and Model 3, the third pedal in the Semi was rather small, and it looked functional. Some members of the r/TeslaMotors subreddit have weighed in on the mysterious pedal, with a number suggesting that it could be a mechanical parking brake.
The mysterious pedal observed in the Tesla Semi’s cabin. [Credit: Andrew Black/YouTube]
Just like the Model 3, the Tesla Semi has the potential to be an incredibly disruptive vehicle. The electric truck is a Class 8 truck equipped with four Model 3-derived electric motors, which enable it to accelerate from 0-60 mph in 5 seconds flat without cargo. With a full 80,000-lb load, the Semi is still capable of hitting highway speed in 20 seconds, far quicker than comparable diesel-powered semi-trailers.
The Tesla Semi is currently being tested and driven across the United States. Just recently, the electric long-hauler was spotted driving over the Golden Gate Bridge on its way to Santa Rosa, CA. According to Tesla’s Tesla’s VP of Truck Programs Jerome Guillen in his LinkedIn profile, the Semi was headed to Santa Rosa to visit some local customers.
Tesla CEO Elon Musk and CTO JB Straubel revealed during the Q1 2018 earnings call that the Semi currently has around 2,000 reservations from businesses within and outside the United States. In the United States alone, several high-profile companies have already placed orders for the electric truck, including PepsiCo, FedEx, and Anheuser-Busch. Outside the United States, grocery chain ASKO from Norway has placed reservations for the long-hauler, as well as waste management conglomerate Bee’ah from the Middle East, among others.
Watch Andrew Black’s video of the Tesla Semi’s cabin below.
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
