News
Tesla had “Faraday” as a backup name before buying “Tesla Motors” trademark for $75k
In a few informative tweets on Saturday evening, Tesla co-founder and CEO Elon Musk revealed some trivia about the company’s naming history: “Faraday” was the alternative name proposed for the electric vehicle manufacturer before “Tesla Motors” was purchased for $75,000. A man named Brad Siewert had filed for the mark in 1994 and maintained its registration until the sale to Musk’s company was made in 2004.
While Musk has expressed admiration for the body of work produced by the famed Serbian-American inventor who would usher in an era of AC induction motors, Nikola Tesla, Musk’s use of the name “Tesla” for an electric car company wasn’t immediately feasible. Due to trademark roadblocks in the US, Europe, and China, registering the simpler “Tesla” name was precluded thanks to ownership by others in those countries. Interestingly enough, however, Tesla Motors, Inc. changed its name to simply Tesla, Inc. in February of 2017.
Tesla history trivia: we didn’t actually come up with the Tesla Motors name. Bought trademark off Brad Siewert for $75k in late 2004. He’d originally filed for it in 1994. Our alternative name was Faraday, which was used by a competitor several years later. https://t.co/zPnrrVash1
— Elon Musk (@elonmusk) December 9, 2018
The trivia revelation was in response to a short clip from a recent 60 Minutes interview with the business magnate. An extended clip provided on CBS News also revealed that prior owner Siewert didn’t want to sell the trademark to the vehicle manufacturer, so Musk sent “the nicest guy in our company” to sit on the doorstep until he agreed to make the sale. Obviously, the charming fellow was convincing enough to be successful in his endeavor, although the price tag drove a tough bargain at the time.
It’s tough to imagine this name any differently now.
In the shorter video clip posted with Musk’s original tweet about the trademark purchase, he lightheartedly debated about the correct pronunciation of the electric vehicle company’s name with host Lesley Stahl. He seemed to prefer his “z” sound for Tesla’s “s”, and she preferred the softer “s” version. Other clips provided from the same interview were released previously, one notably airing Musk’s consideration of a GM factory purchase in response to that company’s recent announcement of closures.
Also revealed in subsequent tweets was Musk’s lack of enthusiasm for the TeslaMotors.com website domain, citing an arduous $11 million dollar process lasting over ten years to acquire Tesla.com. A quick search for “Tesla” in the US trademark database alone reveals hundreds of goods and services paying tribute to the scientific genius of Nikola Tesla. With the mark tied into so many products and services, the wonder isn’t why someone would hold onto the domain name, but rather why the specific domain was such an issue given the car company’s market presence. Perhaps, it was simply the principle of the matter.
Buying https://t.co/46TXqRrsdr took over a decade, $11M & amazing amount of effort. Didn’t like https://t.co/BsRfMrY9Gm even when we were only making 🚘.
— Elon Musk (@elonmusk) December 9, 2018
Tesla was founded in 2003 with the purpose of shifting the public’s perception of electric cars and kick-starting a revolution in clean energy vehicles. The Roadster, Tesla’s first vehicle unveiled in 2008, struggled with production demands and reliability, but it found enough popularity to move electric cars out of the “golf cart” status they’d been relegated to and provide the fledgling startup with the tools needed to take the next steps.
Today, the company boasts three other successful models with electric semi-trucks on the way and a 2nd generation Roadster scheduled to begin production in 2020. The original Roadster was famous aboard SpaceX’s Falcon Heavy demo launch with a spacesuit-outfitted “driver” named Starman in the front seat. That vehicle is currently floating over 200 million miles away from Earth.
Brad Siewert now owns the trademark for “Drone Delivery Butler” which was registered in 2017. Perhaps he’s on to something that will be worth another $75,000 once the concept catches on in about ten years, the approximate time Tesla Motors spent under his stewardship. Then again, the name of one of the most famous butlers in pop culture exists in the Iron Man story, a franchise that Musk has already claimed as the “real life” Tony Stark. Jarvis Neural Networks, anyone?
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
