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Tesla Model S ‘Refresh’ test vehicle interior: New Steering Wheel, Touchscreen, HVAC system

Credit: Tesla Owners Club of Michigan | Facebook

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The first images of the Tesla Model S “Refresh” have landed online, after a person in Toledo, Ohio, spotted the newly-designed sedan at the Toledo Service Center. After speaking with Service Center employees, it has been confirmed that this is a test vehicle. However, images show that the Model S interior is here, and preliminary designs are in the works.

Upon the release of the Q4 2020 Earnings Call Update Letter, Tesla released new photographs of the Model S interior. Rumors that Tesla’s flagship sedan was going to be subjected to a “refresh” were spinning through the rumor mill since December 2020, after the company shut down production lines of the Model S and Model X at the Fremont factory. The vehicle was then spotted at the Fremont Test Track by Teslarati and the Kilowatts, further confirming that Tesla was revamping its flagship vehicle.

While exterior photos showed some changes, many were interested in whether Tesla would modify the interior design. It did, after confirming some new features in photographs that were included in the Q4 2020 Shareholder Deck. A new Yoke Steering wheel, horizontal touchscreen, and rear passenger screen were all included, along with modifications to the vehicle’s HVAC design, center console, and others.

Tesla teases Model S Plaid with refreshed interior: New touchscreen, Roadster steering wheel, and more

Now, new images have surfaced of the Model S interior, thanks to Tom of the Tesla Owners Club of Michigan Facebook group. These photographs were then shared to the r/TeslaMotors Subreddit.

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Credit: Tesla Owners Club of Michigan | Facebook

It appears that Tesla’s Yoke Steering Wheel will be optional and can be equipped with a new steering column design. The new steering wheel is noticeably different than past Model S steering wheels. The center of the wheel seems to have a cap for the horn instead of the past one-piece design that has been used.

As far as the Yoke design, the NHTSA has told Teslarati on several occasions that it will work with the automaker on the regulations regarding steering wheel shape. The Yoke has been approved in several other countries, but the NHTSA still hasn’t confirmed whether it will be allowed or not.

The NHTSA told Teslarati:

“At this time, NHTSA cannot determine if the steering wheel meets Federal Motor Vehicle Safety Standards. We will be reaching out to the automaker for more information.”

It also appears that this vehicle is undergoing some kind of testing as there are plenty of exposed wires and labels on the interior. Tesla has been known to test upcoming vehicles in a number of different conditions, including snow. Several past vehicle prototypes have run spirited drives in challenging, snowy conditions ahead of their releases. The Model Y and Semi are just two of them.

Tom, the original poster in the Facebook Group, stated that:

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“Model S refresh test vehicle spotted at the Toledo service center!! Sorry for the crummy photos. Best I could do at the time. Also, yoke steering wheel confirmed as option, by service staff!!”

Credit: Tesla Owners Club of Michigan | Facebook

Tesla is currently producing the refreshed Model S and Model X at the Fremont Factory, and has contacted orderers about their possible delivery dates. One Model X reservation holder told Teslarati earlier this month that his planned delivery date is between February 15th and March 15th, meaning that the new vehicles could be rolling into customer driveways any day now.

Tesla’s Crash Testing History in Ohio

While unclear for the exact reasoning that Tesla sent a Model S Refresh to Ohio, there is some history with Tesla’s soon-to-be-released cars in the state. In 2017 before the Model 3 was officially released and began deliveries, Tesla sent almost 100 Model 3s to Central Ohio for crash testing.

According to @Model3Owners, Tesla was sending the Model 3s to an independent crash safety testing facility, run by the Transportation Research Center‘s “Smart Mobility Advanced Research Test Center,” a $45 million facility that sits on 540 acres. Ohio State University and the Ohio Department of Transportation both donated at least $20 million to the facility that tests a wide variety of crash scenarios for automakers.

With the Model S having a new design, it is possible that Tesla could be sending the new car, along with several others, to the Transportation Research Center facility to test its performance in accidents. While the Model S already holds a five-star crash safety rating from the NHTSA, the slightly refined body design could need some additional research from Tesla to keep its great reputation for making safe vehicles.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

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. 

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“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.”

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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.

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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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