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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.
- The new Tesla Model Y taillight with no light
- 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.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.



