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Tesla co-founder shares warning about OEM’s EV focus: “They haven’t really done the math fully”

Credit: This Week in Startups/YouTube

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Former Tesla CTO and co-founder JB Straubel recently shared some insights about the electric vehicle revolution and the focus of OEMs on pure electric cars. While conversing with startup investor Jason Calacanis’ in an episode of YouTube’s This Week in Startups, Straubel covered several topics, including Tesla’s early days, the importance of battery recycling, and how some OEMs’ alleged complete dedication to electric vehicles may not be very well thought out at all. 

As noted by Straubel, Tesla was actually quite surprised that the Model S did not cause a substantial shift among OEMs to commit fully to battery-electric cars. The Model S was designed to be the best car, period, and for all intents and purposes, it did not disappoint. However, despite the rave reviews of the Model S and the vehicle proving that electric cars could be at the pinnacle of the auto sector, legacy automakers did not make a serious shift to EVs. 

“The Model S was such a different car. The Roadster was a technology validation. We proved that batteries could work, they could go on a car, they could be safe, they could do the range and acceleration. The S was a whole different thing. It was so good. We put so much effort into that. Elon was hell-bent on making it the best car on the road. And I think we really delivered on that at the time. It was phenomenal. 

“I’m still amazed at the skepticism there was. Even after delivering those, we kinda imagined, I imagined, that people would see this and go ‘Clearly this is the future. This is all gonna work.’ All the car companies are gonna copy this immediately, and we’ll have to go really fast to figure out how we can carve out a niche. And it just didn’t happen. Customers loved it. It was a runaway hit with reviewers and magazines and customers, but the copying and market change didn’t happen,” Straubel said. 

The automotive landscape today is different, however. With Tesla now the most valuable automaker by market cap and with Chinese car companies aggressively coming up with modern electric cars, OEMs have now adopted the narrative that they are going all-in on EVs. Straubel, however, noted that these announcements might not necessarily be realistic. 

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“So many different OEMs, countries, factories, customers are leaping into EVs. You know, making these huge announcements, you know, saying that they’ll be fully electric this decade or the next. They haven’t, I don’t think they’ve done the math fully. What that entails on the supply chain and tracing it all the way back, literally all the way back to the mines. You need to do that, or else, you know, you haven’t really solved it. It has the feeling to me of kind of like a giant overbooked flight.  

“All these people like, ‘Oh, this is great. We’re all gonna go to that new place. We all wanna go there. It looks great. Sweet. Let’s all go on the plane and go.’ So everybody’s saying that we all wanna go there at the same time. Meanwhile, we have to sort of build the planes to get there; we have to figure out how to sequence everyone. The figurative runway is like the time to do all this, and it could all get sorted out over time. But obviously, we’re trying to do this fast as a society and as a species,” Straubel said. 

Watch Straubel’s full interview with Jason Calacanis’ This Week in Startups in the video below. 

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up. 

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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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