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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.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
