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Tesla Full Self-Driving monthly subscriptions poised for 2021 launch

An autonomous Tesla Model 3 in action. (Credit: Tesla)

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Tesla is planning on launching monthly subscriptions to Full Self-Driving by 2021, announced Elon Musk in a recent tweet. He broke the news after setting an updated timeframe for FSD beta’s ~$2,000 price increase on Thursday, October 29.

A subscription service would make FSD more affordable to Tesla owners because drivers could opt to use the service only when necessary. From a consumer’s perspective, FSD might be worth buying if it’s bound to be used often. However, a subscription service might be more practical for drivers who won’t use Tesla’s Full Self-Driving suite daily and only need it during long drives or trips.

An FSD subscription service would not only benefit customers though. It would also benefit Tesla, specifically its AI team. The more data and driving experience FSD’s AI gathers, after all, the better it will perform.

With this in mind, making FSD as accessible as possible to Tesla owners should be a key priority for the company. Elon Musk predicted that FSD could be worth more than $100,000 one day. To reach that price point, Tesla’s Full Self-Driving capabilities would need to improve dramatically. More real-world driving data means that more improvements could be made.

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Tesla’s subscription service has been in the works for some time. EV enthusiast @greentheonly spotted the first signs of a possible FSD subscription service drop while sifting through Tesla’s code in April earlier this year.

“[T]here’s code for pay as you go subscription plan, has been for quite a while. Waiting for that eventual time when it will make sense I am sure,” green tweeted then.

Two days after the owner-hacker talked about the code for Tesla’s FSD subscription plan, Elon Musk and Zachary Kirkhorn confirmed the news during TSLA’s Q1 2020 earnings call. “I think we will offer Full Self-Driving as a subscription service, but it will be probably toward the end of this year,” answered Elon Musk noted.

Musk added that buying Tesla’s Full Self-Driving suite at full price might be a better investment. “I should say, it will still make sense as — to buy FSD as an option as, in our view, buying FSD is an investment in the future. And we are confident that it is an investment that will pay off to the consumer — to the benefit of the consumer. In my opinion, buying FSD option is something people will not regret doing,” he said.”

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However, Musk was not wrong about perceiving FSD as an investment. In July 2020, a few months after the Q1 earnings call, Tesla raised the price of FSD from $7000 to $8000. After the FSD price increase, Musk reminded the public that Tesla’s Full Self-Driving software would increase in value every few months. “Those who buy it earlier will see the benefit,” he noted.

Musk held true to his word. Tesla recently released its limited Full Self-Driving beta, which is expected to feature improvements from the highly-anticipated Autopilot rewrite. Based on recent real-world tests of Tesla’s improved FSD suite, the EV automaker has made leaps and bounds in the development of its self-driving driving software.

Corresponding to Tesla’s FSD beta was another price increase, merely months after the $1,000 raise in July 2020. Yesterday, Elon Musk announced Tesla would increase the price of FSD by ~$2,000, bringing it up to $10,000. Given the dramatic changes seen in Tesla’s limited FSD beta, the price increase makes sense to some.

However, it does also makes FSD less affordable to others. A subscription service for FSD would make Tesla’s autonomous software more accessible to those who aren’t willing to or can’t shell out $10,000 or more upfront.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

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:

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.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

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:

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.

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:

As well as adjusting Navigation, when I received two nags:

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:

 

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

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:

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 expands Robotaxi geofence, but not the garage

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.

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