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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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Elon Musk reiterates Tesla Optimus’ most sci-fi potential yet

Musk shared his comments in a series of posts on social media platform X.

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Credit: Tesla/YouTube

Elon Musk recently reiterated one of the most ambitious forecasts for Tesla’s humanoid robot, Optimus, stating it could become the first real-world example of a Von Neumann machine. He also noted once more that Optimus would be Tesla’s biggest product.

Musk shared his comments in a series of posts on social media platform X.

Optimus as a von Neumann machine

In response to a post on X that pondered on sci-fi timelines becoming real, Musk wrote that “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet.” In a separate post, Musk wrote that Optimus will be Tesla’s “biggest product ever,” a phrase he has used in the past to describe the humanoid robot’s importance to the electric vehicle maker.

A Von Neumann machine is a class of theoretical self-replicating systems originally proposed in the mid-20th century by the mathematician John von Neumann. In his concept, von Neumann described machines that could travel to other worlds, use local materials to create copies of themselves, and carry out large-scale tasks without outside intervention. 

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Elon Musk’s broader plans

Considering Musk’s comments, it appears that Optimus would eventually be capable of performing complex work autonomously in environments beyond Earth. If Optimus could achieve such a feat, it could very well unlock humanity’s capability to explore locations beyond Earth. The idea of space exploration becomes more than feasible.

Elon Musk has discussed space-based AI compute, large-scale robotic production, and the role of SpaceX’s Starship in transporting hardware and materials to other planets. While Musk did not detail how Optimus would fit with SpaceX’s exploration activities, his Von Neumann machine comments suggest he is looking at Tesla’s robotics as part of a potential interplanetary ecosystem. 

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Tesla China January wholesale sales rise 9% year-on-year

Tesla reported January wholesale sales of 69,129 China-made vehicles, as per data released by the China Passenger Car Association.

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Credit: Tesla China

Tesla China reported January wholesale sales of 69,129 Giga Shanghai-made vehicles, as per data released by the China Passenger Car Association (CPCA). The figure includes both domestic sales and exports from Gigafactory Shanghai.

The total represented a 9.32% increase from January last year but a 28.86% decline from December’s 97,171 units.

China EV market trends

The CPCA estimated that China’s passenger new energy vehicle wholesale volume reached about 900,000 units in January, up 1% year-on-year but down 42% from December. Demand has been pressured by the start-of-year slow season, a 5% additional purchase tax cost, and uncertainty around the transition of vehicle trade-in subsidies, as noted in a report from CNEV Post.

Market leader BYD sold 210,051 NEVs in January, down 30.11% year-on-year and 50.04% month-on-month, as per data released on February 1. Tesla China’s year-over-year growth then is quite interesting, as the company’s vehicles seem to be selling very well despite headwinds in the market. 

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Tesla China’s strategies

To counter weaker seasonal demand, Tesla China launched a low-interest financing program on January 6, offering up to seven-year terms on select produced vehicles. The move marked the first time an automaker offered financing of that length in the Chinese market.

Several rivals, including Xiaomi, Li Auto, XPeng, and NIO, later introduced similar incentives. Tesla China then further increased promotions on January 26 by reinstating insurance subsidies for the Model 3 sedan. The CPCA is expected to release Tesla’s China retail sales and export breakdown later this month.

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Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

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Credit: Michał Gapiński/YouTube

Tesla’s Apple CarPlay ambitions appeared to be dead in the water after a large amount of speculation late last year that the company would add the user interface seemed to cool down after several weeks of reports.

However, it appears that CarPlay might make its way to Tesla vehicles after all, as a recent report seems to indicate that it is still being worked on by software teams for the company.

The real question is whether it is truly needed or if it is just a want by so many owners that Tesla is listening and deciding to proceed with its development.

Back in NovemberBloomberg reported that Tesla was in the process of testing Apple CarPlay within its vehicles, which was a major development considering the company had resisted adopting UIs outside of its own for many years.

Nearly one-third of car buyers considered the lack of CarPlay as a deal-breaker when buying their cars, a study from McKinsey & Co. outlined. This could be a driving decision in Tesla’s inability to abandon the development of CarPlay in its vehicles, especially as it lost a major advantage that appealed to consumers last year: the $7,500 EV tax credit.

Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

Although we saw little to no movement on it since the November speculation, Tesla is now reportedly in the process of still developing the user interface. Mark Gurman, a Bloomberg writer with a weekly newsletter, stated that CarPlay is “still in the works” at Tesla and that more concrete information will be available “soon” regarding its development.

While Tesla already has a very capable and widely accepted user interface, CarPlay would still be an advantage, considering many people have used it in their vehicles for years. Just like smartphones, many people get comfortable with an operating system or style and are resistant to using a new one. This could be a big reason for Tesla attempting to get it in their own cars.

Tesla gets updated “Apple CarPlay” hack that can work on new models

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

It holds one distinct advantage over Tesla’s UI in my opinion, and that’s the ability to read and respond to text messages, which is something that is available within a Tesla, but is not as user-friendly.

With that being said, I would still give CarPlay a shot in my Tesla. I didn’t particularly enjoy it in my Bronco Sport, but that was because Ford’s software was a bit laggy with it. If it were as smooth as Tesla’s UI, which I think it would be, it could be a really great addition to the vehicle.

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