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Tesla Model 3 critic has change of heart after test drive

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After strongly criticizing the Tesla Model 3 for its build quality and alleged safety issues, Sandy Munro of Munro & Associates said that he and his team were actually impressed with the performance and driving capabilities of the mass market compact electric car.

Munro’s further observations on the Model 3 were featured in a new Autoline Network YouTube video, where the Detroit veteran took the electric car for a brief drive with host John McElroy. Quite unlike their first video, when the two automotive veterans almost had nothing positive to say about the electric car, Sandy Munro took an entirely different stance when talking about the actual capabilities of the vehicle.

While driving the vehicle around, Munro and McElroy immediately gave positive comments on the car’s simplistic, clean look. One thing that the Detroit veteran was particularly impressed with, however, was the Model 3’s HVAC system, which he called “brilliant.”

Munro did note, however, that the HVAC system’s onscreen controls take a few taps to access. He was also not a fan of the car’s 15-inch center console, which he believes can be detrimental to drivers. Overall, however, Munro stated that his team was impressed with how the car performed during driving tests on the Transportation Research Center, especially with regards to responsiveness and control.

“Actually, we kind of liked the car. It’s a very good drive. This is very responsive. You feel in control when you’re driving this car, and we like that a lot,” the Detroit veteran said.

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Munro further asserted that his team was made up of seasoned auto professionals. Despite their experience in the auto industry, however, the Detroit veteran noted that his team was happy with the performance of the Model 3, particularly its acceleration and handling.  

“The acceleration, everybody loved. The handling, everybody loved.”

The Munro & Associates CEO also discussed his team’s other observations about the electric car, such as its under chassis and how it was evident that the Model 3’s design has allowances for a dual motor, all-wheel drive. Munro also discussed a noise his team reported from the car’s electric motor during high-speed driving. The auto veteran also mentioned that his team had developed a liking for the Model 3’s Sport Mode, which brings out the car’s true potential.

When the Autoline Network host asked Munro what he thought of the electric car’s overall driving capability, the Detroit veteran admitted that he actually liked the way the electric car carried itself on the road.

Munro asserted, however, that his team is still in the process of analyzing and testing the Model 3 and thus, the vehicle’s full scores and ratings are still up for question. For now, however, Munro noted that while the Model 3 failed in fit and finish, he is quite confident that the Model 3 scored well on an important metric — ride and drive.

“I like the drive, I did. I gave it pretty high marks. I know that nothing counts until we see all the profile tests and things like that, but for me, this was a pretty good experience. So I’m pretty hopeful and pretty confident that we’re gonna see a pretty good outcome on ride and drive.”

As we noted in a previous article, Munro gave the Model 3 a brutal critique of the car’s fit and finish and its safety features, even noting at one point that he could not imagine how Tesla could release such a vehicle to the market. The Munro & Associates CEO even remarked at one point that the Model 3, as a whole, was a miserable job that was created by “electronic snobs.” 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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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