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Tesla Full Self-Driving changes your perception of travel — long or short

Tesla Full Self-Driving will ruin controlling your vehicle manually.

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Credit: Tesla

Tesla does not tell you what Full Self-Driving will do to your perception of travel. Whether your next trip is a two-minute ride up the street to the grocery store or a 1,500-mile trip across multiple states, you’ll never look at driving the same way.

This past weekend, I was lucky enough to have a new Tesla Model Y for the weekend. Equipped with the company’s Hardware 4 computer, the latest software version, and all of the new Model Y’s improvements from the legacy iteration, I knew much of my weekend would be spent testing FSD, as I have never had an extended experience with it.

By the time the weekend was over and it was time to pick up my non-Tesla car, I realized I was not ready to let go. Having the car drive me around from location to location all weekend was something I truly enjoyed, but it was more than just a convenience thing. I felt impressed, relaxed, and even, in some instances, safer.

What Tesla Full Self-Driving Did Well

Now, before I truly begin, I do want to say that I don’t think I’ll ever feel safer than when I’m in ultimate control of the vehicle. However, a lot of things that give me stress during a drive were handled with relative ease by the car — and I was happy I didn’t have to deal with it.

One instance was merging onto a busy highway with a very short merge lane. Full Self-Driving took a no-holds-barred approach, taking the space it was given and grabbing a spot in the right lane quickly.

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It was not willing to be passive, but it was also not willing to sacrifice safety. It will not wait for others to pull the trigger and go at intersections or four-way stops. If there are a few seconds of stagnation from the car and another driver in that instance, it will go, of course, proceeding safely.

It even did a handful of things I didn’t expect it to do. It would stay in the right lane if multiple on-ramps were approaching. I took it on a stretch of highway where three on-ramps are all within a mile of one another.

It passed a tractor-trailer just before we made it to the first of those three on-ramps. It stayed in that left lane after overtaking the 18-wheeler, as Driver Visualization showed more cars approaching to merge. It was one of those moments that, even though I have written about this topic for several years, was unbelievably impressive.

It not only drives people safely, but it is also considerate of other drivers, which is very impressive.

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I was incredibly surprised to see my Fiancè have so much ease when it was operating.

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I figured, just because she is not as familiar with what Tesla does to make FSD better and how it works, that she would be very on edge during our rides. This was the opposite. She felt comfortable enough to look away from the road while in the passenger seat. Scrolling her phone or looking out at the blooming flowers was what she did in the car. It was no different from when I’m driving, and I think that was what was most impressive to me.

Driving after FSD

I found that picking up my car and driving manually back home truly brought me back to real life. Everyone with a Tesla and Full Self-Driving says that when you go back to another car, you feel like you’re stuck in the past.

I really did feel that way. Not only because of the aesthetic of the interior, but just because I was doing something that I just realized could be done for me with the right vehicle.

While I love the car I own now, I’m still deciding whether I love it enough to keep it. To be completely honest, I have hopped around with the idea of trading in my car for the new Model Y. Whether I will or not truly depends on the next few weeks and how I feel, but I know that I will be considering it for the next few months easily.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk

Elon Musk reveals date of Tesla Full Self-Driving’s next massive release

Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.

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Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.

For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.

For the most part, things are better in terms of overall behavior.

However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”

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He added:

“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”

Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.

Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.

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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.

Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.

Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.

It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.

What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.

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Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party

From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone

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Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.

If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.

This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.

Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.

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The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.

Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.

Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.

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Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡

Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.

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Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA

The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.

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Credit: Tesla

The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.

The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.

The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.

The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.

The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.

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Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.

However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”

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The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.

The investigation is listed as EA26002.

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