News
Tesla is looking to eliminate contracts for faster vehicle delivery process
In what appears to be yet another initiative to deliver as many of its electric cars as possible to customers, Elon Musk has announced that Tesla is trying to get rid of paper contracts completely. According to Musk, Tesla’s delivery process should be as simple as a tap on a screen. Under the system, returns for Tesla’s vehicles should be a lot simpler as well.
Musk’s Twitter update came as a response to Tesla enthusiast JD Mankovsky, who noted that his sister-in-law has been in a delivery center for hours waiting for her all-electric SUV’s contracts to be finished. Mankovsky stated that there was a backlog in the delivery center’s contract/legal approval level, causing handovers to be delayed. In classic fashion, Musk promptly responded with an idea in tow.
We’re trying to get rid of contracts completely. Should just be “tap here & you get your car”. Then, if you don’t like it for any reason, just return it like any other product.
— Elon Musk (@elonmusk) July 23, 2018
If Tesla does employ what could pretty much be described as a tap and drive system, it would be yet another way for the company to separate itself from the conventions of the traditional auto industry. Issuing and signing contracts, after all, are a well-known, time-consuming aspect of the vehicle delivery process, and it is one practice that Tesla still engages in today. By getting rid of paper contracts, Tesla will separate itself even more from traditional auto sales practices. Such a practice will also make the buying experience of Tesla’s vehicles more similar to consumer tech products than conventional cars.
In a way, using a digital signing system for its vehicles is a strategic move for Tesla. The use of digital contracts, after all, has only been growing over the years. In the United States alone, digital signatures are an option for filing tax returns over the internet, and that is valid in every state today. Tesla would likely need to adapt to additional regulations if or when it starts using digital contracts, but the transition could be done.
Elon Musk’s statement about returning vehicles if customers are not satisfied further emphasizes the idea that Tesla’s vehicles are more like computers on wheels than regular vehicles. Elon Musk has, over the years, underscored the idea that Tesla is a different breed of carmaker, not only in terms of its products but also in terms of its business practices. Returning cars to the company in a manner similar to returning an iPhone to Apple definitely falls under that category. Returned vehicles could even give the company a considerable revenue. Apple, for one, usually uses returned units to be sold later on as refurbished devices. Tesla could employ a similar strategy, opening a lineup between its brand new and CPO offerings.
Looking at Elon Musk’s tweet in the short-term, the removal of traditional paper contracts seems to be yet another way for Tesla to increase its delivery figures. The company, after all, is currently pushing for profitability this third quarter. For Tesla to do this, it would have to deliver as many cars as it can to customers, particularly higher-margin vehicles like the Model 3 Performance, the Model S P100D, and the Model S P100D. Such a system ties in perfectly with the company’s new 5-Minute Sign & Drive system for Model 3 deliveries as well.
In a way, Tesla’s efforts to expedite the deliveries of its vehicles are in the best interests of the company’s customers. Earlier this month, Tesla announced that it had sold its 200,000th electric car in the United States, triggering the phase-out period for the $7,500 tax credit granted to its customers. The tax credit is set to decrease over the next quarters and fully expire by December 2019. Thus, from this point until the end of next year, it would be up to Tesla to deliver as many vehicles as possible to ensure that its customers qualify for a federal tax credit.
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
