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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.
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.
🚨 The final leg of our trip here: FSD did a great job of navigating through this parking lot and getting us onto a highway with a very short on-ramp (a very typical part of living and driving in Pennsylvania).
Also, Autopark did a great job! I would like to see it improve by… pic.twitter.com/OBefKZKDCo
— TESLARATI (@Teslarati) May 5, 2025
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.
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.
I was incredibly surprised to see my Fiancè have so much ease when it was operating.
🚨 Tesla Full Self-Driving takes my Fiancé and I to Target
Flawless drive! We’ll document the rest of our errands today! pic.twitter.com/TAx3mWmVgh
— TESLARATI (@Teslarati) May 4, 2025
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.
🚨 100% the truth!
Once you go FSD, you never go back! https://t.co/uq7qkgAbtA pic.twitter.com/lUN3rT2Kkl
— TESLARATI (@Teslarati) May 8, 2025
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.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
