News
Tesla to allow service requests with ‘1 or 2 taps’ in mobile app, says Elon Musk
Earlier this year, Elon Musk noted that Tesla owners would be able to request service for their vehicles through their smartphones. During his announcements then, Musk stated that the higher operating costs of the smartphone-based service requests would be “worth doing” for the company, considering that it would result in better “owner happiness.”
A recent set of tweets from Elon Musk provided a number of additional details for the company’s upcoming mobile app-based service request system. For one, Musk stated that the company is “adding functionality to the Tesla phone app allowing owners to request service for top issues” with just one or two taps. With such a system in place, owners of Tesla’s electric cars would soon be able to request service in a manner that is convenient and quick.
Adding functionality to Tesla phone app allowing owners to request service for top issues with 1 or 2 taps https://t.co/zb7A6fMROe
— Elon Musk (@elonmusk) November 19, 2018
Musk further noted that in the event of a breakdown or accident (assuming that there are no injuries, of course), Tesla Service would arrive at the scene with a top-of-the-line loaner vehicle that’s ready for use. While a vehicle is being repaired, Tesla could also push data to the mobile app that would allow owners to view updates on the progress of their electric cars’ diagnosis.
Yeah, good idea. We have that state internally, so can push data to phone app.
— Elon Musk (@elonmusk) November 19, 2018
With the ongoing production ramp of the Model 3, Tesla is now at a point where the size of its fleet is bound to get larger over the coming quarters and years. The release of high-volume vehicles like the Model Y, and possibly even the Tesla pickup truck, as well as the arrival of other vehicles like the Tesla Roadster and the Tesla Semi, would all but increase the number of the company’s electric cars on the road.
The increasing number of Tesla electric cars highlight the need to deploy a service system that can handle the needs and demands of a large fleet. Tesla is already preparing for such a scenario by improving its service capabilities, such as the launch of in-house body shops that are capable of conducting minor bodywork repair, as well as the ramp of its mobile service vehicles. Tesla mentioned these improvements specifically in the company’s Q3 2018 Update Letter.
“We expect our Services and Other business to continue to grow mainly due to used car sales volumes. We will increase investment in our service infrastructure in North America through (the) deployment of new service locations and additional mobile service vehicles.”
Tesla’s Support Page notes that Roadside Assistance services are offered to owners as a way to “minimize inconvenience” in the event that a vehicle becomes inoperable. The service, which is available 24/7, is provided for the first four years of ownership, or 50,000 miles. Depending on the car, additional coverage for the battery and drive unit are also offered with a separate policy for 8 years or 125,000 miles, or 8 years and unlimited miles.
Tesla Roadside Assistance currently offers transportation services of up to 500 miles to the nearest Service Center in the event of a warrantable breakdown that renders the vehicle undrivable. Flat tire services, aid in the event that an owner is locked outside the car, and assistance in the event that an electric car runs out of range, are also offered as part of Tesla’s Roadside Assistance services.
Tesla stands as one of the carmakers in the market today with a high Net Promoter Score. IndexNPS, which tracks the NPS scores of companies, notes that Tesla’s score of 96 is higher than legacy carmakers like Porsche, Audi, Toyota, Subaru, Honda, Hyundai and GMC, whose scores range between 73 and 84. One of the reasons behind these is the company’s proactive approach to improving its services, as evidenced by the expansion of its mobile service fleet, as well as its mobile app’s upcoming capability to conduct service requests.
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
