A Tesla Model 3 struck a Florida Highway Patrol (FHP) trooper’s vehicle on Saturday just weeks after the NHTSA established an investigation into the semi-autonomous driving functionality. The driver and FHP confirmed the vehicle was operating on Autopilot.
According to the Orlando Sentinel, a 27-year old was driving his Model 3 westbound on Interstate 4 near Orlando at around 5 a.m. eastern time on Saturday morning when the vehicle struck a Highway Patrol vehicle that was stopped on the side of the road to assist a disabled automobile on the shoulder.
The driver stated that the vehicle was operating on Autopilot, according to FHP and ABC affiliate WFTV9. The driver of the Tesla, along with the owner of the disabled vehicle, had minor injuries. The Trooper on the scene was unhurt.
Happening now: Orange County. Trooper stopped to help a disabled motorist on I-4. When Tesla driving on “auto” mode struck the patrol car. Trooper was outside of car and extremely lucky to have not been struck. #moveover. WB lanes of I-4 remain block as scene is being cleared. pic.twitter.com/w9N7cE4bAR
— FHP Orlando (@FHPOrlando) August 28, 2021
Interestingly, the accident occurred just weeks after the National Highway Traffic Safety Administration (NHTSA) opened an investigation into Tesla Autopilot. The agency told Teslarati that it would investigate eleven separate instances of accidents that occurred under Autopilot operation. However, several of the accidents in the investigation were ultimately not the fault of the system itself and was actually a result of gross negligence by the driver. Two of the eleven incidents being examined were caused by the driver being intoxicated. Another was caused by a driver with a suspended license, and four were the result of incorrect Autopilot use.
NHTSA launches Tesla Autopilot investigation over crashes with emergency vehicles
Because of its unfamiliar nature to many people, Autopilot receives a bad reputation and is often misrepresented and misunderstood by media and critics. Tesla Autopilot is not a fully autonomous driving functionality and is standard with every Tesla from 2017 or later. Tesla has never indicated that Autopilot is a replacement for human drivers and has said on numerous occasions that the system must be used while the driver is fully attentive and still focused on the road. To operate Autopilot in a vehicle, the driver’s hands must be on the wheel at all times in case of a needed intervention, and the wheel has sensors that confirm the driver is still maintaining ultimate control of the vehicle.
While the driver told FHP that the vehicle was operating under Autopilot, it is still the responsibility of the driver to maintain control of the vehicle. Frequently, the Autopilot and Full Self-Driving suites are abused by some. When these irresponsible acts of operation result in an accident or injury, Tesla takes the blame and not the driver. Unfortunately, this is not an accurate depiction of how safe Autopilot actually is.
An example of Tesla’s Full Self-Driving that was shown at the company’s AI Day on August 19th. (Credit: Tesla)
Tesla reports the safety of its vehicles every quarter, with the most recent statistics revealing that vehicles operating under Autopilot are involved in accidents significantly less frequently than human drivers. In Q1 2021, the company said:
“…We registered one accident for every 4.19 million miles driven in which drivers had Autopilot engaged. For those driving without Autopilot but with our active safety features, we registered one accident for every 2.05 million miles driven. For those driving without Autopilot and without our active safety features, we registered one accident for every 978 thousand miles driven. By comparison, NHTSA’s most recent data shows that in the United States there is an automobile crash every 484,000 miles.”
What do you think? Let us know in the comments below, or be sure to email me at joey@teslarati.com or on Twitter @KlenderJoey.
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
