News
I took a Tesla Cybertruck Demo Drive — Here’s what I learned
Upon learning that Tesla was offering Cybertruck Demo Drives across the United States, I decided to sign up for one. I have not gotten my hands on what is inarguably the most unorthodox vehicle on the market right now (and likely ever), but I’ve been lucky enough to see plenty of them in Pennsylvania, Maryland, and Florida, where I took a vacation in April.
I went in with a very open mind. I love to drive a larger vehicle, and a pickup truck, while I’ve never owned one due to lack of necessity, is probably my favorite thing to journey around in.
I decided to book the Demo Drive at the West Chester, Pennsylvania, Showroom just outside of Philadelphia. I took the roughly 90-minute ride out to Chester County on Tuesday. Here’s what I learned from my 30-minute ride:
First things first, it’s a modern marvel of vehicle engineering
While I’ve seen a lot of Cybertrucks, I’ve never gotten up close and personal with one. I don’t necessarily feel super comfortable walking up to anyone’s car and doing a deep examination, so I waited for the right opportunity.
The Cybertruck is obviously eye-catching, but I was really impressed with how this one looked in terms of build quality.
I know that there were some issues early on with Cybertrucks, but it’s no surprise that something like this would be relatively difficult to put together early on. I didn’t see many inadequacies in how these units were built.
There were two parked out front and so many readying for customer deliveries in the back. According to the employee I took my Demo Drive with, they had delivered 300 units so far.
You don’t really feel like you’re driving a pickup
I’ve driven a lot of trucks in my life: F-150s, F-250s, Dodge Rams, Toyota Tundras, and Tacomas.
One thing I noticed getting into the Cybertruck, it doesn’t really feel like you’re driving a truck. It feels sporty, fast, and agile. I was impressed by that, I am not sure what it was about it; perhaps it was the standard ride height or just the overall design of the pickup. I feel like I sit up much higher in a traditional pickup.
The F-150 Lightning, for example, feels like you’re sitting in a regular truck: you’re up high, it feels wide and bulky. It’s in no way sporty. It’s fast, because it’s an EV, but it’s a completely different feel.
It truly captures what Tesla meant when it said it wanted to redesign the pickup.
Steer-by-Wire is incredible
The showroom employee I spoke to said that they have trouble turning a Model 3 around through their narrow parking lots. If they need to swing it around, they can do it, but it requires a multiple-point turn.
He then told me that thanks to the steer-by-wire on the Cybertruck, this wasn’t as much of a task. “We actually have less of a hassle getting the Cybertruck turned around. It’s amazing.”
I had to make a U-turn during a portion of my drive, and I was also told that a traditional pickup truck driver had to back their vehicle up to make the turn. When they were tasked to do the same turn in the Cybertruck, they didn’t trust that it would make it.
It did without any issues.
I felt like it was a very easy adjustment. It took all of 30 seconds to get used to the more advanced turning system in the Cybertruck compared to a regular vehicle. It is probably my favorite part about the whole truck.
It’s fun to drive on open routes and backroads
I remember writing about how much fun the Model 3 Highland was to drive on backroads. The Cybertruck is probably just as fun.
But it also is really fun to drive out in the open on state routes that are busy and have multiple lanes. Some cars get kind of monotonous on the straightforward streets. I wasn’t really ever bored with it (maybe I would be after more than 30 minutes).
It was smooth and fast and hugged corners really well. I never questioned taking turns in it, even sharp ones when I was at a stop sign. It just handled and drove really well, and I do think the steer-by-wire was a big reason for that.
I would get it wrapped
One thing that stood out to me a lot was the overwhelming amount of fingerprints on the door.
This was pretty much a non-negotiable argument that I would absolutely get my Cybertruck wrapped if I ever decide to snag one. I wouldn’t want to constantly be wiping these things off, even though I really love the stainless steel. Matte black would be my choice.
So … will we see each other again?
— Cybertruck (@cybertruck) August 14, 2024
Final Thoughts
I really enjoyed my drive. I have been a fan of the Cybertruck since it was unveiled in 2019. It’s hard to believe I was only with Teslarati for a few months at that point, and here I am five years later, and this truck is now being seen pretty frequently.
Whether you’re a fan of it or not, I would really recommend you go see it and check out all the awesome features. Even if you have no intention of buying one, go take a drive and feel the steer-by-wire, the unique size, and agility of such a large truck, and take in what is one of the coolest cars out on the market right now.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
