With FSD V13.2.6 continuing to make its way to AI4 vehicles, Tesla has been on a streak with minor FSD improvements since the launch of FSD V13 just a little over two months ago.
FSD V13 brought a new slate of features, including Start FSD from Park, Reverse, and Park at Destination. It also introduced full-resolution video input using the AI4 cameras at 36hz and made use of the new Cortex supercomputer to get faster and more accurate decision-making.
So, what’s next with FSD V14? Tesla gave us a sneak peek at what’s next for FSD.
FSD V14
The standout feature of FSD V14 will be auto-regressive transformers. While that’s a complex term for those unfamiliar with AI or machine learning, we’ll break it down.
Auto-Regressive
An auto-regressive transformer processes sequential data in time, using that information to predict future elements based on previous ones. Imagine completing a sentence: You use the words already written to guess what comes next. This process isn't just about filling in the blank; it's about understanding the flow of the sentence and anticipating the speaker's intent.
FSD could analyze a sequence of camera images to identify pedestrians and predict their likely path based on their current movement and surrounding context. The system's auto-regressive nature allows it to learn from past sequences and improve its predictions over time, adapting to different driving scenarios.
Today, FSD reacts to what it sees, but soon it’ll be able to anticipate what will help, much like humans.
Transformers
The second part of that term is transformer, which is a component used to understand the relationships of elements inside a time sequence. It identifies which parts of the input are most crucial for making accurate predictions, allowing the system to prioritize information much like a human would. Think of it as weighing different pieces of evidence to arrive at a conclusion. For example, a transformer might recognize that a blinking turn signal is more important than the color of the car when predicting a lane change.
Putting It Together
Putting all that together, Tesla’s use of auto-regressive transformers means they’ll be working on how FSD can predict the plans and paths of the world around it. This will improve FSD’s already powerful perception and allow it to predict how other vehicles and vulnerable road users (VRUs) will behave.
What it all comes down to is that FSD will be able to make better decisions and plan its paths by making more informed, human-like decisions. That will be a big step towards improving V13 - which already has some very effective decision-making.
Larger Model and Context Size
Ashok Elluswamy (Tesla’s VP of AI) stated that FSD V14 will see larger model and context sizes in FSD V14, which coincidentally are listed in the upcoming improvements section of FSD V13.2.6. If we compare what Ashok said to what’s listed in the upcoming features section, the model and context sizes should grow by 3x.
Interestingly, Ashok says that AI4’s memory limits context size. Context is essentially the history of what the vehicle remembers, which is used for future decisions. Since this information is stored in memory, it’ll always be limited by memory, but it’s worth noting that Ashok mentioned that Tesla is restricted by the memory in the AI4 computer.
Leverage Audio Input
Tesla is already gathering audio data in existing FSD versions so that it can start training models with audio as well, truly making FSD more human-like. According to Ashok, FSD V14 will be the first version to take advantage of audio input for FSD driving. This will primarily be used for detecting emergency vehicles, but we can see this expanding to other sounds that help humans adjust their driving, such as car crashes, loud noises, honking, etc. At the very least, FSD could be more cautious when hearing a noise that matches an accident or vehicle honking.
FSD V14 Release Date
We haven’t heard from Elon Musk or Ashok Elluswamy about when FSD V14 will arrive. Ashok previously stated that FSD V13.4 would see audio inputs being used, but at Tesla’s earnings call, Tesla said that audio input would become relevant in V14, making it seem like Tesla may scrap V13.4 for V14.
Since Tesla is planning to launch their Robotaxi network in Texas this June, which is just four months away, FSD V14 may be the version used for its autonomous taxi fleet.
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We’ve known for a while now that Tesla has been using a custom build of FSD to allow its newly produced vehicles at Giga Texas and Fremont to autonomously navigate themselves from the production line to the outbound delivery lot.
While we knew they were using a custom build of what was likely FSD Unsupervised, thanks to a recent post from Tesla AI on X, this has now been confirmed. Tesla has also confirmed it has accrued over 50,000 driverless miles, totalled from vehicles autonomously driving themselves to delivery lots.
Giga Texas production now uses FSD Unsupervised to deliver cars from end of line to the outbound logistics lot.
Over 50,000 driverless miles have been accrued between California and Texas factories so far pic.twitter.com/79zKY0U6Ox
For most of Tesla’s vehicles - that’s a 1.4-mile trip that is shared with pedestrians, cars, trucks, and construction equipment. You can see in the video that the Teslas are navigating public roadways and encountering real human drivers.
That’s great news, especially since many were wondering whether Tesla would secure the necessary approvals in time to launch their Robotaxi network in June.
Increased Confidence
Following Tesla’s post to X, Musk followed up by saying that when Tesla launches FSD Unsupervised soon, it will be the first time there will be a generalized, pure AI solution to autonomy. Tesla and several executives continue to post more content about autonomy and the Robotaxi network, leading us to believe they’re feeling confident in the June launch.
Model Ys autonomously navigate a 1.4 mile trip on a road shared with pedestrians, cars, semi trucks, construction equipment & more pic.twitter.com/iPx2fs78v2
Back when Tesla initially announced the autonomous travel of its vehicles from production to loading lots, they mentioned that the Cybertruck was the only vehicle at Giga Texas not receiving that same treatment.
Now, that’s changed - Cybertruck is now also navigating through the Cybertunnel to make its way from the factory directly to the loading docks, all on Unsupervised FSD. And that’s making us even more excited, especially because Tesla was supposed to launch an FSD Update for the Cybertruck a little while ago - but it hasn’t made it to production yet. This update is set to bring Start FSD from Park, as well as Actually Smart Summon - bringing the Cybertruck to feature parity with Tesla’s other AI4 vehicles.
Cybertrucks autonomously navigate a 0.6 mile route traversing beneath one of America's fastest highways, emerging through a steep 17% grade to reach their destination pic.twitter.com/3ZMYCRPhIj
Now that Tesla is confidently using a build of Unsupervised FSD to navigate the tight confines of the tunnel and park, we’re pretty sure that Tesla will likely launch the expected FSD update in the near future.
FSD Update Soon?
It’s been a while since any FSD hardware variant has received an FSD update. It appears that Tesla has been focused on Unsupervised FSD and launching FSD outside of North America.
It seems like we may get a new FSD update soon, and we don’t believe it’ll be just for the Cybertruck. Those who have the opportunity to sign up for Tesla’s new Early Access program will likely be some of the first recipients to receive the FSD update, so stay tuned.
Lars Moravvy, Tesla's Vice President of Vehicle Engineering, recently took to X to pose a question to the community: “Let's make Teslas better… what do you all want for 2026?”
The question absolutely took off, and there were tons of fantastic suggestions about what Tesla owners would love to see from their vehicles in the future.
There were more than 12k suggestions, so let's take a look at some of the most popular feature requests.
Top Suggestions
CyberSUV - A classically styled SUV with a stainless steel exterior.
Faster Charging & Better Charge Curves - Tesla vehicles start off with fast charging speeds, but usually taper off quickly in comparison to other brands. This is especially true when compared to some Chinese brands, which sustain 500 kW charging at up to 70% state of charge. Let's get improved charging speeds on Teslas as well, especially with the 500 kW Superchargers coming in Q3.
450mi / 500mi range vehicles - Lots of customers want longer range vehicles, even though Tesla's analysis says the 300-mile range is ideal for 90% of its customer base. Range really does matter - especially for customers in more rural locations or those who choose to tow or haul with their vehicles.
Ambient Lighting Reacts to Music - This one is pretty straightforward, and it's surprising we don't already have this feature. Having basic integration with the currently playing audio is a neat feature, and really helps to make the entire experience even more seamless and premium.
Refresh Model 3 Signal Stalk Retrofit - Some people really love their signal stalks. While there aren't retrofits available just yet, we do recommend the Enhauto Stalks. For those who want an official retrofit, there is now some hope - Lars responded and said he'll try.
Lumbar Support in the Profile - Right now, lumbar support is the only seat item not saved to the Tesla Profile. This may change soon, as Lars followed up and mentioned that there are a few technical issues preventing it, but Tesla could make it work with some of their magic.
Model 3 Track Pack - The Model S has an exclusive Track Pack as a post-factory retrofit offered by Tesla, including premium brakes, tires, and wheels. The Refreshed Model 3 Performance is a killer track vehicle - but getting real track support from Tesla would be a game-changer for those who love to race.
Some of Our Favorites
Sentry Mode Improvements - Several users suggested adding B-pillar recording to Sentry Mode. And it looks like Tesla has already been working on this, and it'll be available in the upcoming 2025 Spring Update, which will be update 2025.14. Unfortunately, it'll be limited to what appears to be HW4 vehicles due to the additional processing.
Massaging Seats - A touch of luxury for Tesla's most premium models would be nice. Many other luxury brands already offer massaging seats so it’d help keep the Model S on par with these brands. Edit: Corrected that the Model S has never come with massaging seats.
Powershare for More Vehicles - Powershare is a fantastic feature, and bringing it to every Tesla is a must, especially as many other brands, including Ford, Kia, and Hyundai, offer either Vehicle to Load or Vehicle to Home capabilities as an option on their EVs. Tesla recently introduced the Mobile Connector with Powershare capabilities and an Outlet Adapter, but it's still exclusive to the Cybertruck for now.
Starlink Integration - Tesla currently uses cell networks for connectivity, which can sometimes be spotty. Starlink is a clear, high-tech solution that could provide data to vehicles when they have a clear line of sight to the sky.
Grok in Vehicles - Musk has already confirmed that Tesla will be integrating Grok into Tesla vehicles. We expected it to be included in Tesla's Spring Update, but it looks like they'll need a little bit longer. One of the lead xAI/Grok developers mentioned the request with a wink emoji, so it's clear it’s a feature that Tesla and xAI are actively working on. The way users will be able to naturally talk to AI will be game-changing for many users who are used to driving alone.
There was a lot of positivity in the comments, as well as a ton of interesting requests that could eventually be implemented in Tesla vehicles. Lars also responded to quite a few of the comments, which was nice to see.
While nothing is certain, some of these popular requests may come in a future update, while others may need hardware changes if Tesla wants to implement them.
2026 may seem far away, but there's already plenty of coming this year with a cheaper vehicle and the launch of the Robotaxi network.
If you love reading about feature suggestions, we also recently covered the top feature requests for Tesla, based on the many requests we hear about.
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