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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.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
