News
Tesla FSD is the answer to concerns about EVs’ possible “added” road risks
A recent article from Slate has brought up a rather interesting concern about electric vehicles and their wide adoption. Since electric cars tend to be a lot heavier than their combustion-powered counterparts, there is a nonzero chance that they could actually be more dangerous to pedestrians in the event of a crash. Tesla FSD could be the answer to these concerns.
There is an uncomfortable truth in the United States, and that is the fact that road fatalities are climbing. The National Highway Traffic Safety Administration (NHTSA), for one, noted that American road deaths soared during Q1 2022, rising 7% to 9,560 fatalities, the highest quarterly toll since 2002. The numbers are sobering, as they suggest that compared to pedestrians in countries like France and Canada, Americans are more than twice as likely to die in a crash.
There are quite a few factors behind these disturbing statistics, but one of them is believed to be the prevalence of overly large and heavy vehicles like full-size trucks and SUVs. While trucks are generally designed for work, full-sized pickups are now widely used by casual drivers to the point where some pickups barely see a day of legitimate work. SUVs are also all the rage. But while these vehicles could be quite safe for those inside them, they are a nightmare for the pedestrians that they might hit in the event of an accident.
As noted by Slate, one study actually found that the shift to SUVs over the past couple of decades ended up leading to over 1,000 more pedestrian deaths. Now, it should be noted that these large vehicles are already overly heavy with an internal combustion engine. When they are powered by a giant battery pack and equipped with electric motors, they become even heavier and a whole lot faster. The over-9,000-pound Hummer EV is the poster child of this, as the behemoth is capable of hitting highway speeds in about 3.3 seconds.
But inasmuch as these concerns are valid, heavy electric vehicles are only really just as dangerous as their drivers and safety features. Tesla has been making overly-heavy and ridiculously-fast sedans and crossovers for many years, yet its vehicles constantly rank among the safest on the road. This is due in no small part to the company’s active and passive safety features, which are standard on every Tesla that gets built at each of the company’s vehicle factories, both in the United States and abroad.
And coupled with Tesla’s FSD software, the risks for heavy electric vehicles are likely even less. Behind all the drama and smear campaigns targeted toward the advanced driver-assist system, after all, FSD is an incredibly cautious system that takes pedestrian safety as a top priority. Tests of Tesla FSD Beta releases have shown this time and time again — the system always keeps people around the car as safe as possible.
The use of systems like FSD Beta would likely be more widespread as the adoption of electric vehicles becomes more prevalent. Teslas would likely continue to be among the safest vehicles on the road, despite the company likely producing one of the heaviest vehicles on the market in the Tesla Semi. Fortunately, Tesla does seem to be open to the idea of having its software, like Autopilot, licensed to other automakers. This means that Tesla’s stellar safety systems could be rolled out to more vehicles, including those beyond the reach of the company’s products.
This, however, would require other automakers to admit that Tesla’s Autopilot and FSD are industry-leading solutions for pedestrian safety. Such an admission takes a lot of humility, and thus, is easier said than done. But the longer other automakers wait to roll out systems that are comparable to FSD or at least Autopilot, the longer pedestrians are exposed to an increasing number of electric vehicles that could indeed be too heavy and too fast in an accident.
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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
