Tesla may be building out a feature for vehicle-to-vehicle communication
Ian Maddox
Tesla recently wrapped up its 2022 annual shareholders meeting, and CEO Elon Musk hinted at a potentially exciting feature coming to the fleet: vehicle-to-vehicle communication.
Towards the end of the shareholders’ meeting, a gentleman in the audience mentioned how aircrafts use a system called Airborne Collision Avoidance System (ACAS). He elaborated on how ACAS relays an aircraft’s telemetry to prevent a collision.
“Sometimes too much telemetry,” Musk adds and laughs, assumingly referencing the Twitter account that tracks his private jet.
“Do you see Teslas communicating with one another and Dojo turning into some kind of air traffic control for Tesla supply chains and Robotaxi?” adds the gentleman.
Musk answered by saying he hasn’t thought about that before, which is interesting. He added that the goal with Dojo is to be the de facto computer for training the neural net with videos.
“Oh. That’s an interesting idea. I haven’t thought about that,” Musk responds. “Right now our goal with Dojo is to be really good at video training. We have probably the fourth or approaching the third, most powerful computing center in the world for AI training. Our first goal with Dojo is to make it competitive and be more effective at neural net training than a whole bunch of GPUs. We might get there… soonish.”
Musk also added that Dojo is built “from the ground up” to train AI using videos, and building such a computer has never been done before.
This question got Musk’s mind going. He paused for a moment and said there may be some difficulties in getting Teslas to communicate with one another - and it won’t be needed with Full Self-Driving.
“There will be some merits for Teslas to communicate [with] each other, but that won’t be needed for Full Self-Driving at all,” Musk responds. “But for a long time the vast majority of cars will be manually driven, so the value of Tesla-to-Tesla communication is not that high, except for, perhaps, communicating traffic issues, accidents, potholes, and road closures. A Tesla ahead of you has seen a road closure and you get that real-time update to your car so you don’t get stuck in the road closure situation. That’s the stuff that we are working on right now.”
Elon Musk's Answer
In January of 2022, Twitter user and Tesla enthusiast @BLKMDL3 tweeted at Musk asking about this type of feature. “Hey @elonmusk, can we get the air suspension in Model S/X to automatically raise quickly if the car detects a dip in the road ahead and then remember the location for next time?” BLKMDL3 writes. “Would be an awesome feature to have!”
Musk responded with, “Yeah.”
Hey @elonmusk, can we get the air suspension in Model S/X to automatically raise quickly if the car detects a dip in the road ahead and then remember the location for next time? Would be an awesome feature to have!
BLKMDL3’s tweet received quite a bit of attention.
Tesla has recently rolled out updates to improve a vehicle’s ability to raise and lower its suspension when arriving at a specific location. This is so the vehicle doesn’t scuff the pavement and cause damage to its underbody.
Since Musk stated that he hasn’t thought about vehicle-to-vehicle communication or how it would be done, we don’t anticipate this feature rolling out anytime soon. However, we can hope that it gets added to the pipeline of upcoming features due to its seemingly positive reception and want for it. This could also increase the safety of Tesla’s vehicles, even though they’re already the safest cars on the road.
It would be nice for vehicles within a 5-10 mile radius to notify one another of a construction zone, or accident, similar to Waze. This would allow the vehicle to reroute to a more efficient route or handle the situation accordingly. Going a step further, it would be exceptionally cool to see snapshots or videos of the upcoming situation by seeing a “hotspot” in maps, similar to how Snapchat shows hotspots, that are recorded via the vehicle’s cameras to more accurately prepare for it. But this may open a can of worms in regards to privacy.
Turning Tesla’s fleet into a mobile social network may go against Musk’s vision. He’s stated before that any user input in the vehicle should be considered an error, so having an interactive feature such as this may not be in Tesla’s deck of cards.
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While most automakers are adding basic and un-integrated AI assistants to their vehicles, Tesla appears to be working hand-in-hand with xAI to build out an entire cast of characters for in-vehicle Grok. In the latest dive into Tesla’s firmware, Tesla hacker @greentheonly uncovered a few new details about the upcoming Grok feature.
This discovery, part of a larger batch of changes found in Tesla update 2025.20, also offers a hint at the hardware required for the Grok.
A Dozen Groks
While we knew from previous firmware teardowns that Tesla was adding various Grok personalities to the vehicle UI, this update introduces a new one called Language Tutor, which may allow users to learn and practice a new language.
These are the different personas that will be included in Grok:
Argumentative
Assistant
Conspiracy
Doctor
Kids’ Stories
Kids’ Trivia Games
Meditation
Motivation
Romantic
Sexy
Storyteller
Therapist
Language Tutor
and the Grok Classic - Unhinged Mode
Release Date
Icons for these personalities have been added to the firmware for the first time, leading us to think Tesla is getting close to releasing the feature. However, even after the feature is developed and included in vehicle software, Tesla may only enable it selectively — such as for select employees for testing.
Grok is expected to be one of the largest vehicle features added via a software update, so it’ll be a big deal when it’s finally released. While we know more or less what to expect from Grok, what we don’t know is about vehicle requirements or whether it’ll require a subscription beyond Premium Connectivity.
Grok Requirements
While subscriptions required are anyone’s guess, vehicle requirements may be a little clearer now, thanks to Green’s discovery that Grok is only being added to AMD-based vehicle software builds.
Unfortunately, this likely means that older, Intel-based vehicles will not receive Grok support, at least for the time being. When Tesla introduced a voice assistant in China, they also started off with AMD-only support but later added Intel support, so it’s possible that the same could happen with Grok.
Energy Saving
Green also found a new undocumented navigation feature in 2025.20.3. This one focuses on leveraging Tesla’s vast amounts of data in an interesting way and offers drivers proactive advice to save energy on a well-traveled route.
In the Energy App, your vehicle will display, “This route is typically driven at X mph. Slow down by Y mph to save Z% for the rest of this trip.’
As you can see in the photo below, Tesla recognizes that vehicles typically drive at 66 mph on the route being driven and offers the driver the option to go five mph slower to save 1% of range. While this example doesn’t provide much incentive to slow down, it could be useful for someone with a low state of charge or if the savings are more significant.
The new line in the Energy App
Not a Tesla App
In the future, Tesla could even use this, alongside the road surface data they’re gathering, to help plan routes for Robotaxi and Unsupervised FSD.
In a letter to industry, the National Highway Traffic Safety Administration (NHTSA) has announced that it is overhauling its approvals process for vehicles designed without human controls.
The change addresses a regulatory bottleneck that has slowed down American companies like Tesla from deploying purpose-built Robotaxis, rather than relying on using traditional vehicles with steering wheels and pedals. The policy shift is outlined in a letter posted to the NHTSA’s website, which you can find here.
Reducing Approvals From Years to Months
Under the existing rules today, any vehicle that is built without a steering wheel or brake pedals must receive a special exemption from federal safety standards.
Obtaining exemptions for a particular vehicle was a time-consuming process for both the companies requesting exemptions and the NHTSA. The process was often a black box—nobody knew when an exemption might be granted, and approvals could take years.
The NHTSA, under the new administration’s guidelines for autonomous vehicle development, is now committed to streamlining this process. The agency will be implementing a new, faster approach immediately for receiving exemptions for autonomous vehicles without standard controls. The NHTSA expects decisions on exemption requests to be determined within months rather than years.
Accelerating the Cybercab
This change has massive implications for Tesla, which is banking on the production of the simplified and easy-to-maintain purpose-built Cybercab. The Cybercab is developed from the ground up as an autonomous Robotaxi and will be one of the key beneficiaries of this move by the NHTSA.
Knowing that a final design won't be caught in a multi-year regulatory limbo provides a level of certainty that has been missing. It allows Tesla to confidently plan the manufacturing, development, and deployment processes without worrying whether the project will get stuck in regulatory approvals.
According to the letter, the agency will publish its improved instructions for the streamlined process "shortly." With Tesla already having begun Cybercab pre-production and the goals for its deployment as soon as late 2026, there’s still a lot to be done to make autonomy a part of Tesla’s new sustainable abundance mission statement.