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


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.
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
A simple reverse out of a parking spot, a good start! pic.twitter.com/TIx2yDmSxT
— TESLARATI (@Teslarati) January 15, 2025
Tesla’s FSD Supervised takes a few left turns onto busy roads
Another busy left turn – “FSD handled this busy turn with ease.” pic.twitter.com/SncR0Kh7ar
— TESLARATI (@Teslarati) January 15, 2025
Another left turn during a somewhat busy time of day – “I was a little scared, not going to lie, but FSD handled it well.” pic.twitter.com/WNunR05C3h
— TESLARATI (@Teslarati) January 15, 2025
Tesla’s FSD Supervised tackles a two-lane roundabout and parking lot
Roundabout? No problem! – “A two-lane roundabout that FSD handled pretty comfortably.” pic.twitter.com/X9QJIVXb6z
— TESLARATI (@Teslarati) January 15, 2025
Left-hand turn out of a parking lot – “It was pretty busy in there but it was well handled, the car navigated easily through the intersection just as I would have.” pic.twitter.com/Kzxb0aYtFN
— TESLARATI (@Teslarati) January 15, 2025
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.
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.
Our first bit of adversity – “This was the most dangerous intervention I faced (I only had about three the whole time). FSD was trying to merge right, but the vehicles in that lane slowed down, and the car didn’t seem to understand what was going on. It started merging into the… pic.twitter.com/hJUBnCAjd2
— TESLARATI (@Teslarati) January 15, 2025
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.
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:
News
Tesla launches amazing new feature for shared vehicles
Tesla has quietly introduced one of its most practical software features yet in update 2026.8: real-time visibility of the active driver profile directly in the Tesla mobile app. Available under the Security & Drivers section, this new tool lets owners see exactly who is behind the wheel or who last drove the vehicle.
Tesla is launching an amazing new feature for shared vehicles, giving owners more transparency when they choose to have a Tesla ownership experience with another driver.
This is one of the many advantages of having a Tesla. New features are constantly rolled out through software updates and Over-the-Air fixes, which download directly to the car with an internet connection.
Tesla has quietly introduced one of its most practical software features yet in update 2026.8: real-time visibility of the active driver profile directly in the Tesla mobile app. Available under the Security & Drivers section, this new tool lets owners see exactly who is behind the wheel or who last drove the vehicle.
The feature works seamlessly. While the car is driving, the app displays the name of the currently selected driver profile in real time.
When the vehicle is parked or asleep, it shows the last active profile.
Requiring both the 2026.8 vehicle software and the latest Tesla app, the update brings this capability to every model in the lineup, including legacy Model S and Model X vehicles, which are unfortunately being phased out of the company lineup later this year.
Tesla makes latest move to remove Model S and Model X from its lineup
The feature was first reported on by Not a Tesla App.
Tesla driver profiles have always excelled at personalization, automatically adjusting seat positions, mirrors, steering wheel height, climate settings, navigation recents and favorites, and media preferences.
These profiles link to specific phone keys for automatic activation and support PIN protection for privacy and security. Restricted profiles for teens can also limit speed or features.
This feature shines brightest in single-car households with multiple drivers. Families, couples, and roommates frequently share one Tesla, leading to constant adjustments and questions about settings. Now, a quick app check reveals the current profile, allowing users to anticipate seat configurations or confirm usage without entering the vehicle.
Tesla’s cloud-synced driver profiles to bring custom settings across multiple cars
Parents particularly benefit: they can verify that teens are driving under their assigned (and possibly restricted) profiles, adding a layer of safety oversight and peace of mind. Teslas are already so incredibly safe that many parents dream of putting their kids in one.
Two kids around the same age could now share a Tesla, and this feature would make that effort, which is likely to be a difficult one at times, more seamless.
Beyond convenience, it promotes accountability and reduces everyday friction. No more manual profile switching or arguments over mirror positions. Before approaching the car, anyone can check the app and know exactly what to expect, no more wasted minutes readjusting everything.
In multi-driver setups, it transforms the shared EV into a truly intelligent, user-aware machine that respects individual preferences while keeping the primary owner informed.
Tesla’s commitment to over-the-air updates continues to enhance ownership value years after purchase.
This small but significant addition highlights how software can solve real-world problems in multi-user environments, making Tesla vehicles more family-friendly and practical than ever. For the millions of owners sharing a single car, the 2026.8 update delivers transparency, time savings, enhanced safety, and effortless personalization. It is a great new feature that is rolling out to vehicles now.
Elon Musk
Elon Musk’s TERAFAB project: Everything you need to know
The CEO has hinted heavily for several quarters that it would probably need to produce its own computing power to stay up to speed on the demand it is facing for its projects. It is now taking matters into its own hands.
On Sunday, Elon Musk formally made TERAFAB official—a groundbreaking $20-25 billion joint venture uniting Tesla, SpaceX, and xAI, three of the world’s richest man’s most significant and powerful ventures.
Musk described the project as “the most epic chip building exercise in history by far.”
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
The initiative aims to produce over one terawatt of AI compute annually, dwarfing the global industry’s current output of roughly 20 gigawatts per year. Musk framed the effort as “the next step towards becoming a galactic civilization,” positioning it as essential for scaling humanity into a multi-planetary species.
The Need for TERAFAB
Existing chip suppliers such as TSMC, Samsung, and Micron cannot expand quickly enough to meet the explosive demand for AI hardware.
We’re building TERAFAB to close the gap between today’s chip production & the future’s demand – a future among the stars.
Join us → https://t.co/512DIlqNgY pic.twitter.com/ATr0e0pRDJ
— SpaceX (@SpaceX) March 22, 2026
Musk explained the situation clearly:
“We’re very grateful to our existing supply chain… but there’s a maximum rate at which they’re comfortable expanding. We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab.”
The CEO has hinted heavily for several quarters that it would probably need to produce its own computing power to stay up to speed on the demand it is facing for its projects. It is now taking matters into its own hands.
Chip Types and Production Goals
The facility will manufacture two specialized chip families, according to the presentation:
- Edge-inference AI5 and AI6 processors optimized for Tesla’s Optimus humanoid robots and Full Self-Driving systems in vehicles and Robotaxis
- High-power D3 chips hardened for space environments
Musk outlined annual output targets, which are between 100 and 200 gigawatts of terrestrial compute for robotics, supporting Musk’s vision of producing 1-10 billion Optimus units per year, and the majority (80%) of chips dedicated to orbital AI data centers. Overall, TERAFAB aims to produce 100-200 billion custom AI and memory chips each year.
Scale and Strategy
The size of the TERAFAB project will be remarkable, as Musk indicated after the presentation that the entire Gigafactory Texas campus would not be large enough to fit the needs of the project. In fact, Musk said it would be around 100 million square feet in size, the equivalent of 15 Pentagons or three Central Parks.
Yes, the one in New York City.
Construction will begin with an “advanced technology fab” on the Giga Texas campus in Austin, enabling rapid iteration: design a chip, fabricate lithography masks, produce and test wafers, all within days.
However, the full-scale TERAFAB requires thousands of acres and over 10 gigawatts of power, far exceeding what Giga Texas can accommodate. Musk stated:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.”
Multiple large sites are currently under consideration, but this will need a sprawling land mass to get started.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Key Applications
TERAFAB will be a crucial part of the development of some of Tesla’s most valuable projects, including Optimus and data center development, especially from an orbital standpoint. For that reason, we will break this down into Terrestrial and Orbital applications:
- Terrestrial: Powers autonomous vehicle fleets and billions of Optimus robots performing physical labor
- Orbital: Starship will launch massive AI satellite constellations, starting with 100-kilowatt “Mini” units, and scaling to larger Megawatt models, creating the world’s largest data center in low-Earth orbit.
Space-based advantages include five times greater solar irradiance, efficient vacuum heat rejection, and freedom from terrestrial grid constraints (U.S. electricity generation totals just 0.5 terawatts). Musk emphasized the principle:
“Quantity has a quality all its own.”
We wrote about SpaceX’s recent filing with the FCC for 1 million orbital data center plans.
Strategic Vision
TERAFAB represents vertical integration at an unprecedented scale, combining AI hardware, robotics, and orbital infrastructure.
Musk described the project as “the final missing piece of the puzzle.” With production ramping toward 2027, TERAFAB is set to accelerate an era of abundance, transforming science fiction into reality and positioning Musk’s companies at the forefront of galactic-scale innovation.
Elon Musk
Elon Musk offers to pay TSA salaries as government shutdown leaves agents without paychecks
Elon Musk offered to personally cover TSA salaries as the DHS shutdown deepens travel chaos nationwide.
Elon Musk says that he is willing to personally cover the salaries of Transportation Security Administration (TSA) workers caught in the crossfire of a partial government shutdown that has now dragged on for over a month. “I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country,” Musk wrote.
I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country
— Elon Musk (@elonmusk) March 21, 2026
The offer arrives as Congress let funding expire for the Department of Homeland Security on February 14, amid a disagreement over immigration enforcement, leaving most TSA employees classified as essential and on duty but working without pay. The timing could not be more disruptive, as the shutdown is colliding directly with spring break travel season when millions of Americans are in the air.
This is not the first time TSA workers have endured this kind of hardship. TSA agents are being asked to work without pay until congressional action unblocks their paychecks, having previously held out through the longest government shutdown in U.S. history at 43 days. The pattern reveals a systemic failure in how Congress funds critical security infrastructure, and Musk’s offer shines a spotlight on that recurring failure at a moment when the public is directly feeling its effects through long lines and terminal closures.
Whether Musk can legally follow through remains unclear, as federal law generally prohibits government employees from receiving outside compensation related to their official duties.