News
Legacy auto needs a ‘Tesla Approach’ on EVs because it’s quality, not quantity, that buyers want
Amidst the automotive segment’s ongoing shift to electric cars, it is almost common to see a carmaker announcing dozens of EVs coming in the coming years. Yet while such announcements are great for headlines, it appears that the time is nigh for legacy auto to shift to a “Tesla Approach” when it comes to their EV strategy. Carmakers can do this by focusing not on quantity, but on the quality of their electric cars.
Quantity Doesn’t Necessarily Mean Quality
Just recently, South Korean automaker Hyundai announced that it will have 23 global electric vehicles by 2025. This announcement is impressive, and it echoes the same theme as American automaker General Motors’ plan, which calls for 30 EVs by 2025. Even premium carmakers like BMW and Daimler seem to be taking the same approach, with the former pledging nine EVs by 2025 and the latter working on six electric vehicles today.
Yet inasmuch as these announcements warrant a lot of praise, it is pertinent to note that not all of the EVs coming out of legacy auto will necessarily be on the level of Tesla’s electric cars. Take GM’s best-selling electric car today, for example, the Wuling Hongguang Mini EV, which is sold in China. The vehicle outsold the domestically-produced Model 3 in China several times this year, but it’s important to highlight that the Mini EV is a bare-bones electric car that doesn’t even have airbags installed.
The Tesla Approach
Tesla’s approach to its electric cars is not unlike what tech giant Apple adopts. That is, the company releases only a few products, but each is extremely competitive in its respective segment. This could be seen in Tesla’s S3XY lineup, all of which could be described as premium electric vehicles in their own right. Critics could point out that the build quality and interior materials of Tesla’s electric cars are not yet in the level of veterans like Mercedes-Benz, but there’s no doubt that the Model S, Model 3, Model X, and Model Y are a cut above in terms of tech, performance, and features.
Apart from releasing just a few good electric cars, Tesla also focuses heavily on software and vertical integration. Tesla’s vehicles are not the only ones that can receive over-the-air updates today, but they are arguably the ones that receive them most frequently. The vertical integration that Tesla applies to its operations is pretty insane as well, with the company now looking to produce its own batteries and hardware.
One Good Electric Car
What seems to be lost among some legacy automakers today is the fact that the EV market is growing, and as it grows, it probably will not require dozens upon dozens of EVs being offered to customers. This is especially true if some of those electric cars are substandard or underwhelming at best. Instead, it may be a better idea for veteran carmakers to focus on creating only a few electric cars, with each one being good enough to stand against leaders like the Model S, or upstarts like the Lucid Air and the Rivian R1T. Even one good electric car will be better than dozens of uninspired EVs, after all.
Fortunately, this concept seems to be making its way to some carmakers now, albeit slowly. Porsche does not seem to be in a hurry to release a bunch of EVs, with the company focusing on the Taycan, the Taycan Cross Turismo, and the Macan EV. Ford seems to be focusing right now on the Mach-E and the F-150 Electric. These vehicles so far are being received pretty well by the electric vehicle community, with the Taycan and the Mach-E even receiving a personal welcome from Tesla CEO Elon Musk.
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
