One advantage Tesla has over its competition is its Supercharger network. No one else comes even close to having such a vast charging network. That's not even taking other considerations into account such as the speed of chargers.
Tesla to add WiFi to their Superchargers
Tesla's v3 chargers can charge at rates of to 1,000 miles per hour according to Tesla. It really starts rivaling the speed of gas stations. Of course, you may not always see those speeds, since there are various factors to consider. You'll need to have a battery that's at least 50% depleted. Usually having a battery around the 30% mark is what will result in the fastest charging speeds.
The car will also need to have a warm battery in order to achieve such a high rate of charging. Your car will do automatically warm up the battery as long as you have a Supercharger destination set in your GPS. And of course, the Supercharger can't be crowded or that could affect the amount of power available to each vehicle as well.
The other big advantage that I feel is often overlooked is the simplicity of the whole thing. When you arrive at a Supercharger, you know what to expect, you're not dealing with different charging networks or figuring out how to pay. You literally just plug it in. It couldn't be simpler.
Adding WiFi
Now, Tesla is going to add another advantage to it's already great charging network. Elon tweeted that Tesla will be adding WiFi networks to all of their Superchargers.
Even for owners with Premium Connectivity, the WiFi access will be nice if you have other devices in the car that are WiFi only, such as a gaming device, laptop or an iPad.
Adding WiFi to Superchargers actually makes a lot of sense for Tesla. The amount of data Tesla vehicles use is probably fairly small, with the exception of video streaming.
Considering that streaming YouTube or Netflix is likely one of the more popular entertainment options if you're waiting in the car while charging, this could lead to large amounts of data usage.
If Tesla added WiFi to Superchargers, they'll likely greatly reduce the amount of data that is being consumed through the car's cellular network.
In the US, Tesla has a partnership with AT&T. Since the very first Model S in 2012, all Teslas have used AT&T's network. We don't know the exact details of Tesla's partnership with AT&T, but Tesla is likely paying AT&T based on the amount of data used. After all, there's a reason why Tesla forces software updates to be downloaded over WiFi.
This move is likely to improve the customer experience at Superchargers while also saving Tesla some money.
Software Updates
Tesla is selling almost a million vehicles a year. Many of these are now being sold to owners who may not be able to get their car close enough to their homes in order to connect to WiFi and download the latest updates.
By adding WiFi to Superchargers, Tesla will now give owners a reliable and easy way to download software updates, regardless of their connection at home.
How to Connect to Tesla WiFi
We discussed earlier how easy it is to use a Supercharger. There's no need to authenticate, process payments or anything. It's all seamless. Expect Tesla to provide a similar experience when connecting to their WiFi network. You may not have to do anything. Just driving your car within range of Tesla's WiFi network will be enough to get it to automatically connect.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
