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I tried Tesla’s FSD Supervised on a demo drive—Here’s what I learned

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Tesla’s Supervised Full Self-Driving (FSD) has been at the center of the company’s long-term strategy for years, and seeing as I’ve been covering the company and its competitors since 2020, I decided it was finally time to try it out myself.

The process of scheduling a demo drive was simple: I scheduled it online through Tesla’s test drive page, and because I was hoping to focus on FSD, I shot an email over to the Loveland team letting them know that I was coming and was planning to try the software out. I got a quick response, in which one of the advisors offered to schedule me for an extended demo drive, effectively giving me a three-hour window to try out FSD Supervised.

On Monday, I headed out from my house in Fort Collins, Colorado, to the next town over, Loveland, to try Tesla’s latest FSD Supervised version available. While I initially scheduled a demo drive for a Model Y with FSD Supervised v13.2.2, one of the Tesla advisors informed me that there was also a Model S on-site with version v13.2.2.1, so I elected to test that one instead.

After getting a quick rundown from the advisor on the Model S, my demo drive officially began. I typed my first destination into the navigation system, pressed and held the blue “Start FSD (Supervised)” button, and off I went.

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Tesla’s FSD Supervised: autonomy is definitely on the way

Perhaps many people have this experience when trying FSD out for the first time, but right off the bat, I found myself laughing at how it worked and a little scared that it would make a mistake. This Model S was now driving me out of the Loveland Tesla parking lot to a nearby Target, through busy parking lots, turns and lane changes, and it was pretty uncomfortable at first not to be the one making the maneuvers—let alone the fact that no person was making these maneuvers, but rather it was the vehicle doing it on its own.

I felt like an anxious passenger—my feet pressed firmly on the floor in distrust and disbelief—only I was sitting in the driver’s seat. I really couldn’t do much but laugh at how strange the experience had felt so far.

Then, not long after my first trip, something interesting happened.

My mindset slowly shifted from fear to trust with each correct maneuver, and I managed my first few drives without disengaging at all, offering a true testament to how well FSD Supervised performed on this test. Granted, I went in without too much of a plan and wasn’t targeting fringe cases or particularly tough maneuvers; I just wanted to see if this car could drive me around for a few hours, and to feel what it was like to demo FSD Supervised as a newcomer.

It’s worth noting that I did most of my driving in FSD’s Chill mode, though I also tested a few drives in both Standard and Hurry. Personally, I think I would probably keep it in Chill mode most of the time, as it’s the most similar to how I drive of the three.

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Below are a few moments from the drive that show some of the system’s capabilities, even turning onto busy roads that would be difficult for a human driver.

Tesla’s FSD Supervised reverses out of a parking spot… and we’re off

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Tesla’s FSD Supervised takes a few left turns onto busy roads

Tesla’s FSD Supervised tackles a two-lane roundabout and parking lot

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READ MORE ON TESLA’S FSD SUPERVISED: Tesla Cybertruck receives FSD (Supervised) v13.2.4 update

The temptation not to pay attention, and my most critical disengagement

Elon Musk and others have talked up FSD Supervised v13 since its release, as well as claiming that unsupervised driving is just around the corner. While it does feel closer than ever after years of reporting on small tweaks, improvements and developments, I think it’s also worth emphasizing again that the system still requires the driver to pay attention, even though it’s tempting to believe that it can handle all the driving by itself.

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As I drove more and more, or rather as the car drove me, I became more comfortable trusting that FSD Supervised was going to make the right decisions, which it did about 99 percent of the time. I was lulled into somewhat of a false sense of safety that almost had me believing the vehicle didn’t need to be supervised, but that 1 percent of the time (maybe even less) that it did get confused still required my input.

I only had a few interventions for the whole experience, but one in particular had me a little scared after having become a little complacent and too trusting. As you can see in the video below, FSD Supervised was looking to merge into the right lane, when two vehicles slowed down. The Model S attempted to change lanes anyway, requiring me to overtake the wheel and keep driving straight.

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Besides the quick moment of fear in deciding I needed to take the wheel, it really was not a big deal once I regained control. It was actually a good wake-up call: this system still needs to be supervised, even if it makes fewer and fewer mistakes with each new version and feels like a solid human driver for the vast majority of the time.

I had a few other disengagements on my drive, mostly when the vehicle seemed to get confused about uncommon traffic circumstances or in confusing parking lot scenarios without clear signage. However, these moments made up a very small portion of my experience, and I can only imagine what another couple of years of development will do.

Tesla’s FSD Supervised: still needs supervision, but I got a good glimpse into a future of autonomy

All in all, I really enjoyed trying out FSD Supervised and I hope to do it again sometime. Additionally, I’d recommend trying it out to anyone, especially if you’re interested in seeing where driving tech is headed.

While I definitely got a glimpse into the future potential for fully autonomous driving, I also think it still requires supervision, even if just for those very seldom moments where the system gets confused. The margin for error with driving safety is obviously extremely low, though I do believe Tesla will eventually make good on its aim to make this system better than human drivers in time—and it already feels pretty close the majority of the time.

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I hope to do this again sometime soon, and a major shout out to the Tesla Loveland team for making the experience smooth and for answering all my questions along the way.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Tesla employees are performing autonomous FSD trials, CEO Elon Musk says

Need accessories for your Tesla? Check out the Teslarati Marketplace:

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla bolsters App with new safety, insurance, and storage features

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

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Credit: Tesla

Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.

The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.

But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.

Tesla Insurance – Safety Score 3.0

This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.

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Tesla intertwines FSD with in-house Insurance for attractive incentive

Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).

Update Tracking

Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.

Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.

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Storage Management

Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.

Now, manually deleting the Dashcam videos is easier than ever.

Trailer Light Test

This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.

Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.

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Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.

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Tesla Robotaxi-only Superchargers are starting to appear

For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert. 

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Credit: Tesla

Tesla is starting to build out Robotaxi-only Superchargers as the company is truly leaning on its Full Self-Driving and autonomy efforts to solve passenger travel.

Last week, the company filed pre-permits in Arizona’s East Valley for two dedicated, non-public charging sites stocked with next-generation V4 Superchargers. The filings mark the first visible evidence of purpose-built infrastructure exclusively for autonomous Tesla vehicles, as they state they are not for public use.

In Chandler, Tesla plans to install 56 V4 stalls on an industrial parcel along South Roosevelt Avenue. Site documents describe a high-capacity setup supported by new SRP transformers, switching cabinets, and upgrades to existing underground lines.

A second site in Mesa, located at 5349 E Main Street in another industrial zone, carries the same private-use designation. Both locations sit well away from public roads and customer traffic, ensuring the chargers serve only Tesla’s internal fleet.

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The sites were spotted by Supercharger observer MarcoRP.

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Phoenix’s East Valley offers an ideal launchpad for Robotaxi Supercharging: the location has a clean, grid-like street layout and year-round mild weather that minimizes camera degradation. Additionally, Arizona has welcomed self-driving pilots since Waymo’s early days.

By securing private depots now, Tesla can optimize charging cycles, reduce downtime, and maintain full control over vehicle hygiene and security, critical factors for high-utilization Robotaxi operations.

The type of Supercharger is telling as well, as they are V4, Tesla’s fastest and most efficient buildout.

V4 stalls deliver faster power and support bidirectional charging, features that will let idle Robotaxis feed energy back to the grid during off-peak hours. Because the sites are closed to the public, Tesla avoids congestion, vandalism risks, and the scheduling conflicts that plague shared stations.

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The timing is telling. With unsupervised Full Self-Driving hardware already rolling out across the lineup and Cybercab production targets looming, Tesla is shifting from vehicle development to ecosystem readiness.

Charging infrastructure has historically been the gating factor for ride-hailing scale; building it ahead of the vehicles signals confidence that regulatory and technical hurdles are nearing resolution.

Tesla has been spotted testing Cybercab units in Arizona over the past few months, as well.

Interestingly, the permits show V4 Superchargers in the plans, although Cybercab will likely utilize wireless charging:

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Tesla Cybercab spotted with interesting charging solution, stimulating discussion

For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.

It appears Tesla is preparing to begin building out Robotaxi-only Superchargers to avoid the congestion and keep its autonomous fleet charged up to get ride-hailers to their destinations.

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ARK’s SpaceX IPO Guide makes a compelling case on why $1.75T may not be the ceiling

ARK Invest breaks down six reasons SpaceX’s $1.75 trillion IPO valuation may be justified.

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ARK Invest, which holds SpaceX as its largest Venture Fund position at 17% of net assets, has published a detailed investor guide to why a SpaceX IPO may be grounded in a $1.75 trillion target valuation.

The financial case starts with Starlink, SpaceX’s satellite internet constellation, which has surpassed 10 million active subscribers globally as of early 2026, with 2026 revenue projected to exceed $20 billion. ARK’s research puts the total satellite connectivity market opportunity at roughly $160 billion annually at scale, and Starlink is adding customers faster than any telecom network in history. That growth alone would justify a substantial valuation.

Additionally,  ARK notes that SpaceX has reduced the cost per kilogram to orbit from roughly $15,600 in 2008 to under $1,000 today through reusable Falcon 9 hardware. A fully operational Starship targeting sub-$100 per kilogram would represent a significant cost decline and open markets that do not currently exist. SpaceX executed a staggering 165 missions in 2025 and now accounts for approximately 85% of all global orbital launches. That infrastructure position took decades to build and would be nearly impossible to replicate at comparable cost.

SpaceX officially acquires xAI, merging rockets with AI expertise

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The February 2026 merger with xAI added a layer to the valuation that straightforward financial models struggle to capture. ARK argues that at sub-$100 launch costs, orbital data centers could deliver compute roughly 25% cheaper than ground-based alternatives, without power grid delays, permitting friction, or land constraints. Musk has stated a goal of deploying 100 gigawatts of AI computing capacity per year from orbit.

The $1.75 trillion figure itself is not a conventional earnings multiple. At roughly 95x trailing revenue, it prices in Starlink’s adoption curve, Starship’s cost trajectory, and the orbital compute thesis together. The public S-1 prospectus, due at least 15 days before the June roadshow, will give investors their first complete look at the financials to test those assumptions. ARK’s position is that the track record earns the benefit of the doubt. Fully reusable rockets were considered unrealistic for years. Starlink was considered financially unviable. Both happened on timelines that surprised skeptics.

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