News
I took a Tesla new Model Y Demo Drive – Here’s what I learned
The new Tesla Model Y has plenty of improvements that make it much better than its past version.
As the new Tesla Model Y arrived at a local showroom for Demo Drives, I swiftly signed up for one to compare the legacy model to what the company is hoping is an even better version of its best-selling vehicle. Coming off of a Legacy Model Y Demo Drive just two months ago, as I was planning to buy one, I had a good understanding of what was improved and what was not.
To make a long story short, I’m really happy I did not pull the trigger on the Legacy Model Y in February. The new Tesla Model Y is truly a much-improved version of what was already a great vehicle, and while I still think the Cybertruck is the best vehicle in Tesla’s lineup, the new ‘Juniper’ is right up there with it.
First Impressions
The first thing I really took note of was the massively changed exterior. The addition of the light bar on the front and the taillight bar that glows were two modernized designs that Tesla chose to implement on this vehicle.
While I never disliked the look of the Legacy Model Y, this is simply better. It’s more modern, slightly cleaner, and truly starts to give off the vibes of the Cybercab, which Tesla unveiled in October 2024.
Overall, the vehicle, in terms of dimensions, is not incredibly different from the past version. The look is really what changed here, and in my opinion, it’s for the better.
Fit and finish were really great. A quick inspection showed the car had been put together very well, and the Sales Advisor, who recently took a trip to Gigafactory Texas and viewed the new Model Y line, said Tesla has been really paying attention to the condition of these vehicles as they leave the factory.
Tesla had a very distinct focus on eliminating excessive panel gaps and aesthetic issues before they leave the factory.
Interior Changes and Higher Quality Materials
In the past, I’ve been sort of hesitant to buy Teslas because, for $35,000+, I felt like some of the interior parts were cheap. Most notably, the sliders above the storage and cupholders and the center console were things I felt should be of higher quality.
This was a big improvement. All of the compartment doors and covers felt much better in terms of overall quality. Nothing was creaky or cheap feeling, and paying $41,000 for a car (after tax credit) should come with materials that are a much better quality.
The steering wheel had a good shape, and the bottom portion of it being flat was not anything crazy, but it was nice.
My favorite tidbit of information was regarding the ambient lighting. Tesla did not run it as far back on the doors in the new Model Y as it did in the Model 3 Highland. Also, many owners apparently complained about the reflection of the ambient lighting on the windshield when they were driving.
Tesla fixed this by covering the ambient lighting and pushing it into a nook that was designed for the lights specifically. There is no longer any reflection of the ambient lighting on the windshield, so it’s important to note that Tesla didn’t take the Highland interior and put it right inside the new Y.
Suspension Improvements Were the Best Part
By far, my favorite fixes were the suspension improvements. While the fixes to overall interior quality and the look are great, the feel when driving the car is truly more important.
The Model 3 Highland had a really great improvement from its past iteration, as I was able to test it with some spirited driving on Pennsylvania backroads. I felt the same way about the new Model Y. You can truly feel a lot of the things Tesla did to make the ride more comfortable in the new version of the crossover.
The ride feels solid but not rigid. It handles things like bumps, potholes, and other inconsistencies really well. It was never uncomfortable; it felt very sporty and responsive and hugged tight corners at higher speeds.
Room and Comfort
The vehicle was very spacious, and I had a lot of legroom in the back. I also liked the feel of the driver’s seat, and I felt like I was sitting in the cockpit of something sportier than a crossover. It was really very nice, and the seats seemed to hug you.
As far as the rear, it felt spacious and comfortable, and I wouldn’t worry about being stuck back there on a road trip that was 6-7 hours long.
The rear seats are heated, but the middle seat is not. The rear screen also gives occupants in the back of the car something to do, and Tesla even enabled multiple Bluetooth headsets the ability to connect to that center screen.
Other Tidbits
The small improvements from the new Model 3 are what really make the Model Y a great car. The previously mentioned ambient lighting fix is something that is great.
One other thing I really liked was that the trunk privacy cover now has a dedicated storage area, which is seen in the indentations here:
The trunk cover can be folded and removed and placed in those indentations, as opposed to sitting on floor of the trunk, potentially being bent and damaged by whatever you have back there.
This was one thing that was a nice touch.
Final Thoughts
All in all, I was very impressed with the new Model Y. It is undoubtedly better than what Tesla previously offered, and that car was the best-selling vehicle globally for two straight years. I would not be surprised to see many Legacy Model Y owners trade their cars in for this new version.
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- The new Tesla Model Y taillight with no light
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- The new Tesla Model Y taillight with taillight glow
There’s something to be said about a car that fits functionality and fun. The crossover design is popular because it offers so much more space than a sedan but is not the size of a massive, full-sized SUV.
The way this car drives is more like a sedan than a crossover, though, and how the suspension improvements really shine through is where this car is excellent and matches both the wants and needs of many.
While the Cybertruck is still my favorite Tesla to drive, the new Model Y is more accessible to more people and it truly was an awesome experience getting to run around in it for an afternoon.
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
