News
In Elon Musk’s intertwining web of companies, Twitter is the latest addition
Elon Musk recently added Twitter to the list of companies he currently controls. Tesla, SpaceX, the Boring Company, and others have all worked as an intertwining web of entities with Musk acting as the spider. With the addition of Twitter, Musk adds another dimension to his list of companies that work with one another, all of which will ultimately culminate in the creation of X, a parent company.
While Musk’s ownership and control of Twitter are less than two weeks from its beginnings, employees of the social media network are learning a new lesson: just because it does not deal with cars, rockets, or tunnels, doesn’t mean those will not somehow come into the picture later on.
Twitter engineers learned this lesson faster than anyone as reports circulated late last week that Tesla employees were heading to downtown San Francisco to work side-by-side with the social media platform’s software people. The move was met with mixed reviews: some literally could not care less, but others felt Tesla engineers already had enough on their plate. After all, Musk said earlier this year he’d be very surprised if Tesla did not solve its Full Self-Driving suite by year’s end, and less than two months remain in 2022.
For anyone seasoned with Musk and his many ventures, the move was not all that much of a surprise. The Tesla CEO’s companies have never been wholly individualized, per se. While Tesla builds cars, SpaceX builds rockets, and the Boring Company builds underground tunnels, the three companies all have a little piece of each other. It’s more than likely just an advantage of having your hands in a lot of different buckets.
Take Tesla and SpaceX for example. The Model X drove NASA astronauts Doug Hurley and Bob Behnken to the launchpad for the SpaceX Demo-2 launch last year. Tesla has used SpaceX welding techniques to improve the strength of aluminum parts in the Model Y. According to CNBC, Tesla sold SpaceX $2 million worth of vehicle components in Q1 2021.
NASA shows off Tesla Model X astronaut transport vehicle ahead of historic launch
Tesla and the Boring Company have an obvious connection due to the latter’s use of the former’s vehicles within its tunnels. Most notably, the Vegas Loop, which aims to revolutionize commuter and tourist travel in the Sin City, utilizes an array of Tesla vehicles to improve its express-style travel, helping to accommodate for groups of all sizes.
One of the advantages of having so many different companies in so many different industries is that eventually, situations will arise that may hint toward a conjuctive effort to solve a problem. Twitter is no different. A company that has obvious struggles in its DNA, evident through its battle with bots and spam accounts, Twitter is getting attention from some highly talented engineers at Tesla.
There are criticisms, too. Of course, Tesla investors may not love hearing that company employees are devoting time to a project that many of them disagreed with, to begin with. It is no secret that some of Musk’s biggest supporters have questioned the Twitter saga, referring to it as a distraction or a mistake. Musk, on the other hand, believes Twitter’s status as a modern-day town hall that highlights free speech is essential, and it is just one more thing he saw that he felt needed fixing.
For what it is worth, the workload and daily calendar Musk keeps is pretty impressive. A string of companies all helping one another is also a big plus and a huge advantage.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
