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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

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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 engineers deflected calls from this tech giant’s now-defunct EV project

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Image Created by Grok

Tesla engineers deflected calls from Apple on a daily basis while the tech giant was developing its now-defunct electric vehicle program, which was known as “Project Titan.”

Back in 2022 and 2023, Apple was developing an EV in a top-secret internal fashion, hoping to launch it by 2028 with a fully autonomous driving suite.

However, Apple bailed on the project in early 2024, as Project Titan abandoned the project in an email to over 2,000 employees. The company had backtracked its expectations for the vehicle on several occasions, initially hoping to launch it with no human driving controls and only with an autonomous driving suite.

Apple canceling its EV has drawn a wide array of reactions across tech

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It then planned for a 2028 launch with “limited autonomous driving.” But it seemed to be a bit of a concession at that point; Apple was not prepared to take on industry giants like Tesla.

Wedbush’s Dan Ives noted in a communication to investors that, “The writing was on the wall for Apple with a much different EV landscape forming that would have made this an uphill battle. Most of these Project Titan engineers are now all focused on AI at Apple, which is the right move.”

Apple did all it could to develop a competitive EV that would attract car buyers, including attempting to poach top talent from Tesla.

In a new podcast interview with Tesla CEO Elon Musk, it was revealed that Apple had been calling Tesla engineers nonstop during its development of the now-defunct project. Musk said the engineers “just unplugged their phones.”

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Musk said in full:

“They were carpet bombing Tesla with recruiting calls. Engineers just unplugged their phones. Their opening offer without any interview would be double the compensation at Tesla.”

Interestingly, Apple had acquired some ex-Tesla employees for its project, like Senior Director of Engineering Dr. Michael Schwekutsch, who eventually left for Archer Aviation.

Tesla took no legal action against Apple for attempting to poach its employees, as it has with other companies. It came after EV rival Rivian in mid-2020, after stating an “alarming pattern” of poaching employees was noticed.

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Tesla to a $100T market cap? Elon Musk’s response may shock you

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There are a lot of Tesla bulls out there who have astronomical expectations for the company, especially as its arm of reach has gone well past automotive and energy and entered artificial intelligence and robotics.

However, some of the most bullish Tesla investors believe the company could become worth $100 trillion, and CEO Elon Musk does not believe that number is completely out of the question, even if it sounds almost ridiculous.

To put that number into perspective, the top ten most valuable companies in the world — NVIDIA, Apple, Alphabet, Microsoft, Amazon, TSMC, Meta, Saudi Aramco, Broadcom, and Tesla — are worth roughly $26 trillion.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

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Cathie Wood of ARK Invest believes the number is reasonable considering Tesla’s long-reaching industry ambitions:

“…in the world of AI, what do you have to have to win? You have to have proprietary data, and think about all the proprietary data he has, different kinds of proprietary data. Tesla, the language of the road; Neuralink, multiomics data; nobody else has that data. X, nobody else has that data either. I could see $100 trillion. I think it’s going to happen because of convergence. I think Tesla is the leading candidate [for $100 trillion] for the reason I just said.”

Musk said late last year that all of his companies seem to be “heading toward convergence,” and it’s started to come to fruition. Tesla invested in xAI, as revealed in its Q4 Earnings Shareholder Deck, and SpaceX recently acquired xAI, marking the first step in the potential for a massive umbrella of companies under Musk’s watch.

SpaceX officially acquires xAI, merging rockets with AI expertise

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Now that it is happening, it seems Musk is even more enthusiastic about a massive valuation that would swell to nearly four-times the value of the top ten most valuable companies in the world currently, as he said on X, the idea of a $100 trillion valuation is “not impossible.”

Tesla is not just a car company. With its many projects, including the launch of Robotaxi, the progress of the Optimus robot, and its AI ambitions, it has the potential to continue gaining value at an accelerating rate.

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Musk’s comments show his confidence in Tesla’s numerous projects, especially as some begin to mature and some head toward their initial stages.

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Celebrating SpaceX’s Falcon Heavy Tesla Roadster launch, seven years later (Op-Ed)

Seven years later, the question is no longer “What if this works?” It’s “How far does this go?”

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SpaceX's first Falcon Heavy launch also happened to be a strategic and successful test of Falcon upper stage coast capabilities. (SpaceX)

When Falcon Heavy lifted off in February 2018 with Elon Musk’s personal Tesla Roadster as its payload, SpaceX was at a much different place. So was Tesla. It was unclear whether Falcon Heavy was feasible at all, and Tesla was in the depths of Model 3 production hell.

At the time, Tesla’s market capitalization hovered around $55–60 billion, an amount critics argued was already grossly overvalued. SpaceX, on the other hand, was an aggressive private launch provider known for taking risks that traditional aerospace companies avoided.

The Roadster launch was bold by design. Falcon Heavy’s maiden mission carried no paying payload, no government satellite, just a car drifting past Earth with David Bowie playing in the background. To many, it looked like a stunt. For Elon Musk and the SpaceX team, it was a bold statement: there should be some things in the world that simply inspire people.

Inspire it did, and seven years later, SpaceX and Tesla’s results speak for themselves.

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Credit: SpaceX

Today, Tesla is the world’s most valuable automaker, with a market capitalization of roughly $1.54 trillion. The Model Y has become the best-selling car in the world by volume for three consecutive years, a scenario that would have sounded insane in 2018. Tesla has also pushed autonomy to a point where its vehicles can navigate complex real-world environments using vision alone.

And then there is Optimus. What began as a literal man in a suit has evolved into a humanoid robot program that Musk now describes as potential Von Neumann machines: systems capable of building civilizations beyond Earth. Whether that vision takes decades or less, one thing is evident: Tesla is no longer just a car company. It is positioning itself at the intersection of AI, robotics, and manufacturing.

SpaceX’s trajectory has been just as dramatic.

The Falcon 9 has become the undisputed workhorse of the global launch industry, having completed more than 600 missions to date. Of those, SpaceX has successfully landed a Falcon booster more than 560 times. The Falcon 9 flies more often than all other active launch vehicles combined, routinely lifting off multiple times per week.

Falcon Heavy successfully clears the tower after its maiden launch, February 6, 2018. (Tom Cross)

Falcon 9 has ferried astronauts to and from the International Space Station via Crew Dragon, restored U.S. human spaceflight capability, and even stepped in to safely return NASA astronauts Butch Wilmore and Suni Williams when circumstances demanded it.

Starlink, once a controversial idea, now dominates the satellite communications industry, providing broadband connectivity across the globe and reshaping how space-based networks are deployed. SpaceX itself, following its merger with xAI, is now valued at roughly $1.25 trillion and is widely expected to pursue what could become the largest IPO in history.

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And then there is Starship, Elon Musk’s fully reusable launch system designed not just to reach orbit, but to make humans multiplanetary. In 2018, the idea was still aspirational. Today, it is under active development, flight-tested in public view, and central to NASA’s future lunar plans.

In hindsight, Falcon Heavy’s maiden flight with Elon Musk’s personal Tesla Roadster was never really about a car in space. It was a signal that SpaceX and Tesla were willing to think bigger, move faster, and accept risks others wouldn’t.

The Roadster is still out there, orbiting the Sun. Seven years later, the question is no longer “What if this works?” It’s “How far does this go?”

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