Teslas have the ability to send and receive text messages. Any message you receive while connected to the car will display the sender's name on the screen. You can then have the car read the message to you or dismiss it.
Being able to receive text messages is as simple as pairing your phone and turning on a few settings. If you’d like to reply or send a text message, you can do it completely through your voice.
How to Set Up Text Messaging
How to set up text messaging in your Tesla
Not a Tesla App
Tap the Bluetooth icon at the top of the screen to go to Bluetooth settings.
You’ll see a list of phones and devices paired to your car. You’ll want to pair your phone now if you haven’t done so already.
You’ll need to make sure the phone you’re setting up messaging for is already connected. Then tap the name of your device on the left side.
You’ll see options for that device on the right side. You will want to have the “Sync Messages,” option turned on. It may also want to turn on the “Chime on New Message” option if you’d like the car to have an audible alert every time you receive a new message. If you leave this option off, the car will still display a notification on the car’s screen, but without a chime.
How to Send a Text Message
The only way to send a text message through your Tesla is using your voice.
Your Tesla will read incoming text messages and allow you to respond
Not a Tesla App
On a Model S or Model X, tap the voice button on the top right side of the steering wheel.
On a Model 3 or Model Y, push in the right scroll wheel to start a voice command.
Then use the voice command, “Send text to Name”, Name being the person in your phone’s contacts that you’d like the message to be sent to. You’ll need to have your contacts synced to your car in order for this to function.
If you’d like to send or view text messages already sent during your trip. You can tap the Apps button (denoted by a ^) and choose Phone. From there tap the Messages tab and you'll see a list of all the contacts and messages you have sent and received during this trip. Messages already on your phone or sent in a previous drive will not show up here.
How to Receive a Text Message
Your Tesla will display and read incoming text messages
Not a Tesla App
If your phone is connected via Bluetooth and you have the sync messages option turned on, you’ll now receive an alert every time you receive a text message.
You’ll hear a ding and the alert will appear on the screen along with the sender’s name. The message will be obscured until you choose it to be shown and read.
Model 3 or Model Y
To view a text message and have the car read the message to you, press the right scroll wheel.
To dismiss a message, you can press the right scroll wheel twice.
To dictate a reply, you press the right scroll wheel once, followed by your reply. Once you're done, you can press the right scroll wheel again to send the message.
Model S or Model X
On the instrument cluster you will see different options that you can select with the scroll wheel and the select button that will let you view, reply or dismiss the text message.
Tips
Car doesn't recognize a name
If the car has a hard time recognizing a name in your phonebook, there are a couple things you can do. You can duplicate the contact on your phone, giving the second contact a name that the car will recognize. Alternatively, you can favorite the contact. By favoriting a contact you'll be able to easily start a text message with them by going to Apps (the ^ icon ), Phone and then Favorites. Each favorite or contact has a Call icon next to their name along with a Message icon that you can use to start a new conversation.
Re-dictate a message
If you have a Model 3 or Model Y, and you reply to someone, only to have the car not understand what you said, you can dictate your message again by pressing the right scroll wheel in twice. On a Model S or Model X, you have a selectable option to let you re-try dictating the message.
Stop reading a message
If the car is reading a long text message and you'd like to stop it, you can press the right scroll wheel two times to dismiss the message.
Playback volume
Although it would be a great feature, there is currently no way to adjust the volume at which text messages are read.
Troubleshooting
If you’re not receiving text messaging in the car you will want to confirm that your phone is paired and connected. You’ll also want to confirm that the ‘Sync Messages’ option is turned on in the car's Bluetooth settings.
You'll also want to check your phone's Bluetooth settings to make sure the phone is sharing the relevant data with the car. You'll want to go to Bluetooth settings and find your device which you're connecting to, which is the car in this case. It should be labeled as Tesla followed by the model and the name of your car. Then you can tap on the ( i ) icon for iPhone's or the gear icon for Android and you should see device specific settings. You will want to be sure that the car is sharing contacts and notification or text message data with the car.
If you’re still having trouble, you may want to try rebooting your car. If it still doesn't work, you can try unpairing the phone and repairing it again. Delete the device from the car's Bluetooth settings and also delete the car from your phone's Bluetooth settings. You can then repair and enable text messaging again.
Keep in mind that sending group messages or replying to group messages is not currently supported on some devices, including iPhones.
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Tesla launched two FSD updates simultaneously on Saturday night, and what’s most interesting is that they arrived on the same software version. We’ll dig into that a little later, but for now, there’s good news for everyone. For Hardware 3 owners, FSD V12.6.1 is launching to all vehicles, including the Model 3 and Model Y. For AI4 owners, FSD V13.2.4 is launching, starting with the Cybertruck.
FSD V13.2.4
A new V13 build is now rolling out to the Cybertruck and is expected to arrive for the rest of the AI4 fleet soon. However, this build seems to be focused on bug fixes. There are no changes to the release notes for the Cybertruck with this release, and it’s unlikely to feature any changes when it arrives on other vehicles.
FSD V12.6.1 builds upon V12.6, which is the latest FSD version for HW3 vehicles. While FSD V12.6 was only released for the redesigned Model S and Model X with HW3, FSD V12.6.1 is adding support for the Model 3 and Model Y.
While this is only a bug-fix release for users coming from FSD V12.6, it includes massive improvements for anyone coming from an older FSD version. Two of the biggest changes are the new end-to-end highway stack that now utilizes FSD V12 for highway driving and a redesigned controller that allows FSD to drive “V13” smooth.
It also adds speed profiles, earlier lane changes, and more. You can read our in-depth look at all the changes in FSD V12.6.
Same Update, Multiple FSD Builds
What’s interesting about this software version is that it “includes" two FSD updates, V12.6.1 for HW3 and V13.2.4 for HW4 vehicles. While this is interesting, it’s less special when you understand what’s happening under the hood.
The vehicle’s firmware and Autopilot firmware are actually completely separate. While a vehicle downloading a firmware update may look like a singular process, it’s actually performing several functions during this period. First, it downloads the vehicle’s firmware. Upon unpacking the update, it’s instructed which Autopilot/FSD firmware should be downloaded.
While the FSD firmware is separate, the vehicle can’t download any FSD update. The FSD version is hard-coded in the vehicle’s firmware that was just downloaded. This helps Tesla keep the infotainment and Autopilot firmware tightly coupled, leading to fewer issues.
What we’re seeing here is that HW3 vehicles are being told to download one FSD version, while HW4 vehicles are being told to download a different version.
While this is the first time Tesla has had two FSD versions tied to the same vehicle software version, the process hasn’t actually changed, and what we’re seeing won’t lead to faster FSD updates or the ability to download FSD separately. What we’re seeing is the direct result of the divergence of HW3 and HW4.
While HW3/4 remained basically on the same FSD version until recently, it is now necessary to deploy different versions for the two platforms. We expect this to be the norm going forward, where HW3 will be on a much different version of FSD than HW4. While each update may not include two different FSD versions going forward, we may see it occasionally, depending on which features Autopilot is dependent on.
Thanks to Greentheonly for helping us understand what happened with this release and for the insight into Tesla’s processes.
At the 2025 Consumer Electronics Show, Nvidia showed off its new consumer graphics cards, home-scale compute machines, and commercial AI offerings. One of these offerings included the new Nvidia Cosmos training system.
Nvidia is a close partner of Tesla - in fact, they produce and supply the GPUs that Tesla uses to train FSD - the H100s and soon-to-be H200s, located at the new Cortex Supercomputing Cluster at Giga Texas. Nvidia will also challenge Tesla’s lead in developing and deploying synthetic training data for an autonomous driving system - something Tesla is already doing.
However, this is far more important for other manufacturers. We’re going to take a look at what Nvidia is offering and how it compares to what Tesla is already doing. We’ve done a few deep dives into how Tesla’s FSD works, how Tesla streamlines FSD, and, more recently, how they optimize FSD. If you want to get familiar with a bit of the lingo and the background knowledge, we recommend reading those articles before continuing, but we’ll do our best to explain how all this synthetic data works.
Nvidia Cosmos
Nvidia’s Cosmos is a generative AI model created to accelerate the development of physical AI systems, including robots and autonomous vehicles. Remember - Tesla’s FSD is also the same software that powers their humanoid robot, Optimus. Nvidia is aiming to tackle physical, real-world deployments of AI anywhere from your home, your street, or your workplace, just like Tesla.
Cosmos is a physics-aware engine that learns from real-world video and builds simulated video inputs. It tokenizes data to help AI systems learn quicker, all based on the video that is input into the system. Sound familiar? That’s exactly how FSD learns as well.
Cosmos also has the capability to do sensor-fused simulations. That means it can take multiple input sources - video, LiDAR, audio, or whatever else the user intends, and fuse them together into a single-world simulation for your AI model to learn from. This helps train, test, and validate autonomous vehicle behavior in a safe, synthetic format while also providing a massive breadth of data.
Data Scaling
Of course, Cosmos itself still requires video input - the more video you feed it, the more simulations it can generate and run. Data scaling is a necessity for AI applications, as you’ll need to feed it an infinite amount of data to build an infinite amount of scenarios for it to train itself on.
Synthetic data also has a problem - is it real? Can it predict real-world situations? In early 2024, Elon Musk commented on this problem, noting that data scales infinitely both in the real world and in simulated data. A better way to gather testing data is through real-world data. After all, no AI can predict the real world just yet - in fact, that’s an excellent quantum computing problem that the brightest minds are working on.
Yun-Ta Tsai, an engineer at Tesla’s AI team, also mentioned that writing code or generating scenarios doesn’t cover what even the wildest AI hallucinations might come up with. There are lots of optical phenomena and real-world situations that don’t necessarily make sense in the rigid training sets that AI would develop, so real-world data is absolutely essential to build a system that can actually train a useful real-world AI.
Tesla has billions of miles of real-world video that can be used for training, according to Tesla’s Social Media Team Lead Viv. This much data is essential because even today, FSD encounters “edge cases” that can confuse it, slow it down, or render it incapable of continuing, throwing up the dreaded red hands telling the user to take over.
Cosmos was trained on approximately 20 million hours of footage, including human activities like walking and manipulating objects. On the other hand, Tesla’s fleet gathers approximately 2,380 recorded minutes of real-world video per minute. Every 140 hours - just shy of 6 days - Tesla’s fleet gathers 20 million hours of footage. That was a little bit of back-of-the-napkin math, calculated at 60 mph as the average speed.
Generative Worlds
Both Tesla’s FSD and Nvidia’s Cosmos can generate highly realistic, physics-based worlds. These worlds are life-like environments and simulate the movement of people and traffic and the real-life position of obstacles and objects, including curbs, fences, buildings, and other objects.
Tesla uses a combination of real-world data and synthetic data, but the combination of data is heavily weighted to real-world data. Meanwhile, companies who use Cosmos will be weighting their data heavily towards synthetically created situations, drastically limiting what kind of cases they may see in their training datasets.
As such, while generative worlds may be useful to validate an AI quickly, we would argue that these worlds aren’t as useful as real-world data to do the training of an AI.
Overall, Cosmos is an exciting step - others are clearly following in Tesla’s footsteps, but they’re extremely far behind in real-world data. Tesla has built a massive first-mover advantage in AI and autonomy, and others are now playing catch-up.
We’re excited to see how Tesla’s future deployment of its Dojo Supercomputer for Data Labelling adds to its pre-existing lead, and how Cortex will be able to expand, as well as what competitors are going to be bringing to the table. After all, competition breeds innovation - and that’s how Tesla innovated in the EV space to begin with.
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