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Tesla Model X Production Line Coming to Life

Elon Musk is proud of the new assembly line at the Fremont factory, which can be configured to build two different cars depending on consumer demand.

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Robots on reconfigurable Tesla assembly line

Elon Musk teases new Tesla production line powered by sea of robots

The Tesla Fremont factory recently shut down to add Production Line 2. The new line will be able to build both Model S and Model X automobiles — and it looks scarier than ever. Elon Musk’s recent Instagram photo of the new production line says there are a total of 542 robots installed along the line, with 15 working simultaneously at the central assembly point. Sharp eyed viewers insist there is a Model X chassis being worked on underneath all those robots.

>>>> HOT: Tesla opens up its Model X Design Studio to Signature reservation holders

Since the Model X crossover SUV will be built on much the same chassis as the Model S sedan, the ability to dynamically adjust the production line by model will provide a degree of flexibility unheard of in the industry. It will also help the company learn how to build the upcoming mass market Model 3 efficiently so the company can achieve its goal of making 500,00 cars a year by 2020.

https://instagram.com/p/6-7QX2QEba/?taken-by=elonmusk

Musk’s enthusiasm for his shiny new army of robots is in sharp contrast to his avowed aversion to the dangers of Artificial Intelligence. He told the MIT Aeronautics and Astronautics department’s Centennial Symposium last October, “I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, it’s probably that. … Increasingly scientists think there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.” Then he added: “With artificial intelligence we are summoning the demon.”

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Before that meeting took place, he tweeted:

Then in January of this year, he donated $10,000,000 to help find ways to control Artificial Intelligence, calling it “potentially more dangerous than nukes.”

“It’s best to try to prevent a negative circumstance from occurring than to wait for it to occur and then be reactive,” Musk said. “This is a case where the range of negative outcomes, some of them are quite severe. It’s not clear whether we’d be able to recover from some of these negative outcomes. In fact, you can construct scenarios where recovery of human civilization does not occur. When the risk is that severe, it seems like you should be proactive and not reactive.”

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In July, Elon Musk joined with Stephen Hawking and 1,000 other noted scientist in petitioning the United Nations to ban the development and use of autonomous weapons. The letter was presented at the 2015 International Joint Conference on Artificial Intelligence in Buenos Aires, Argentina.

Is there any danger that the robots on Tesla Production Line 2 will run amok and threaten the good citizens of Fremont with mayhem or subject them to involuntary servitude? Probably not. But they should be aware that, no matter how proud of them Elon Musk may be, he will always be keeping a watchful eye on them.

Source: Washington Post/The Verge

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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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