News
Elon Musk roasts WSJ coverage of fatal Tesla crash, defends Autopilot
Tesla CEO Elon Musk roasted the Wall Street Journal for their coverage of the crash that killed two men involving a 2019 Model S. Mainstream media reports claimed that the vehicle was “driverless” in an attempt to cast bad press on Tesla’s Autopilot and Full Self-Driving systems. Musk shared new details regarding the vehicle involved, revealing that the car was not subscribed to the Full Self-Driving program, a voluntary purchase made by Tesla owners, nor could it have been operating on Autopilot due to a lack of road lines.
Musk, in a reply to a skeptical Twitter user who didn’t believe a media outlet’s coverage of the accident, said:
“Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD. Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.”
Tesla alleged “driverless” crash in Texas: What is known so far
The Wall Street Journal reported the story with the headline “Fatal Tesla Crash in Texas Believed to Be Driverless.” This uses the automatic association that Tesla electric vehicles have with self-driving programs. However, Tesla does not, nor has it ever claimed to have a self-driving vehicle or software that would make a car drive without the driver needing to pay attention. Tesla has a suite called Full Self-Driving (FSD) but has maintained that it is still the driver’s responsibility to pay attention to the road and abide by all road rules. The FSD suite is available for $10,000 and can be purchased at any time.
Your research as a private individual is better than professionals @WSJ!
Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD.
Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.
— Elon Musk (@elonmusk) April 19, 2021
However, the vehicle involved in the accident was not subscribed to the FSD program. Tesla keeps records of its cars and can track whether any car has FSD or not. Musk claims that data logs that have been recovered thus far show that the involved vehicle did not have FSD.
Additionally, Tesla’s basic Autopilot suite, which now comes standard on every vehicle, would not have been able to function with the road conditions presented in the area of the accident. Standard Autopilot requires road lines to be functional. This road was unmarked, so Tesla’s basic Autopilot feature would not have been active. It’s impossible.
Unfortunately, Tesla’s Autopilot and Full Self-Driving suites are usually the first points of blame when an accident occurs. When Tesla’s are involved in violent or fatal accidents, they are very publicly covered by media outlets. It only adds fuel to the skeptic’s fire against the FSD and self-driving programs that Tesla is currently working on completing. In the past, Elon Musk has stated that Tesla may accomplish Level 5 autonomy by the end of 2021, but the CEO and the company have never claimed that a Tesla vehicle can drive itself. The company has also enforced several barriers that would prevent a driver from letting the vehicle operate independently. If a driver does not keep their hands on the steering wheel while the car is in motion, the vehicle will automatically pull over, and Autopilot will be deactivated for the remainder of the drive.
The company also has revoked FSD access to some drivers after abusing the capabilities of the software and not handling it responsibly.
This should dismiss the idea that AP was somehow the cause of this horrific incident. I pray for the family and friends of the deceased. Let’s trust the real investigators will discover what really happened here. pic.twitter.com/0tp8Vbh6fH
— Mikey Likes (@mliebow) April 18, 2021
Reports indicate that the NHTSA has launched an investigation into the Texas crash to determine the cause of the fatal collision.
Tesla recently released its Q1 2021 Safety Report, which showed that cars operating on Autopilot are nearly ten times safer than cars that are being operated by a humans.
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
