Tesla may be building out a feature for vehicle-to-vehicle communication
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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Ganesh Venkataramanan, Tesla’s project lead for its ambitious Dojo supercomputer project for the past five years, has left the company. Bloomberg reported this development, stating that the news was confirmed by sources familiar with the matter. Peter Bannon, a former executive at Apple Inc. and a director at Tesla for the last seven years, has now taken the helm of the project.
Venkataramanan's departure from Tesla last month is now stirring conversations about the potential impacts on Tesla's future initiatives. His contributions to the Dojo project have been pivotal, especially in designing the custom D1 chip that powers the supercomputer. Venkataramanan, with his extensive experience, including a significant tenure at Advanced Micro Devices Inc. (AMD), was a crucial asset in setting up Tesla’s AI hardware and silicon teams in 2016.
Dojo: A Cornerstone for Tesla’s Self-Driving Aspirations
The Dojo supercomputer is a critical element of Tesla's strategy to enhance its self-driving capabilities. Designed to train machine learning models integral to Tesla's autonomous systems, Dojo processes vast amounts of data captured by Tesla vehicles. This rapid data processing is essential for improving the company’s algorithms, with analysts suggesting that Dojo could be a significant competitive advantage for Tesla. In a recent estimation by Morgan Stanley, the project could potentially add $500 billion to Tesla’s value.
Elon Musk has been vocal about the company's commitment to the Dojo project, planning an investment exceeding $1 billion by the end of 2024. The project's importance was underscored in Tesla's decision to shift from relying on Nvidia Corp.’s supercomputers to developing Dojo, poised to rival systems from Hewlett Packard Enterprise Co. and IBM.
Looking Ahead: Impact and Future Prospects
The recent leadership changes raise questions about the future direction of the Dojo project. Venkataramanan's exit, coupled with the departure of another critical artificial intelligence player from Tesla last year, Andrej Karpathy, signals a transition period for the company’s AI and self-driving teams.
However, Tesla's robust talent pool, blending experienced and emerging professionals, offers a silver lining. Bannon's promotion to lead the Dojo project is seen as a strategic move, leveraging his experience and insights gained from his tenure at Apple. Moreover, the recent installation of Dojo hardware in Palo Alto, California, marks a step forward in centralizing and enhancing the project’s capabilities.
Tesla’s ambitions for Dojo extend to making it one of the world’s top supercomputers. The company envisions reaching a computational capability of 100 exaflops* by October 2024, a testament to its commitment to advancing artificial intelligence and self-driving technology.
* Confused about "exaflops?" "Flops" stands for Floating Point Operations Per Second. It's a way to measure how fast a computer can process data. "Exa" means a billion billion, or 1, followed by 18 zeros (1,000,000,000,000,000,000). So, when we say a computer can perform 100 exaflops, it can do 100 billion billion calculations per second. That's incredibly fast!
Tesla is adding a new 'High Fidelity Park Assist' feature in this year's Holiday Update
Following initial reactions to Tesla's 2023 Holiday Update, Elon Musk acknowledged the need for improvement, stating, "We need to step up our game." His post on X was followed by Tesla shedding more light on the Holiday Update than what was in the initial leak.
Call me old, but I remember a time when you bought a car, and that was it; the dealer and manufacturer didn’t give you anything else. So is the Tesla community acting a little bit spoiled here? Absolutely. But it also shows how high Tesla has set the bar with its previous Holiday Updates.
Initial Release and Feedback
The initial release of the 2023 Holiday Update, version 2023.44.25, received mixed reactions from the Tesla community, with some owners expressing disappointment over the lack of groundbreaking new features. But the newly announced features may serve as better stocking stuffers.
The initial rollout included something owners have been asking for, the blind spot monitor. The camera that turns on when you change lanes will now have a red color added if there is something in your blind spot. It’s not clear whether it will be accompanied by a tone.
Tesla’s blind spot warning in this year’s holiday update
Here are other features in the leaked update that are being tested by employees:
Navigation and Safety Features: Including symbols for speed cameras, stop signs, and traffic lights in navigation, and the automatic 911 call feature in case of an accident.
Trip Planning via Tesla Mobile App: Allowing for more detailed trip planning, including multiple stops and charging points.
Apple Podcasts Integration: Allowing users to sync with Apple devices for a seamless podcast experience, directly addressing the demand for a richer in-car entertainment system.
New Games and Enhancements: The update brought updates to Tesla Arcade, with Beach Buggy Racing and Polytopia Diplomacy updates, as well as the Vampire Survivors Chilling update.
Light Show Improvements: There’s a new light show that’s included with your vehicle. You’ll also be able to upload several light shows on a single USB drive and pick one from the vehicle, instead of having to use multiple USB drives, one for each light show.
More Live Sentry Mode Cameras: You will now be able to view the B-pillar cameras directly from the Tesla app. This brings the number of viewable cameras in the app up to seven. The only ones still missing are the alternative front-facing cameras that are telephoto and wide-angle, which wouldn’t bring much additional value. Although the B-pillars are viewable in the app with this update, they will still not be used to record during Dashcam or Sentry Mode events.
High-Fidelity Park Assist
Tesla's new parking assist feature will dynamically recreate scenes in real-time
In response to the feedback and Musk's statement, Tesla unveiled additional features in its updated holiday update, including an improved park assist with enhanced visualizations.
This feature provides a 3D reconstruction of the vehicle's surroundings while parking, akin to a 360-degree camera system found in other high-end vehicles. The system is clearly leveraging improvements to Tesla Vision to create the surrounding environment, such as cars, pillars and walls.
This feature also appears to change the color of objects depending on how close they are to your vehicle. In the image we can see the pillars are orange, but if we look closer, the object behind the vehicle is also orange near the bottom. The sides of the vehicles next to the Tesla also have a slight hint of orange, indicating their proximity.
However, it looks like this feature may be even better than it initially looks. The vehicles in the image aren’t just predefined 3D models that Tesla created, like the ones used in Autopilot visualizations. These models appear to be dynamically created using vision, so that no two cars would look alike, much more similar to what LiDar is able to achieve. The visualization provides a true representation of the environment around the vehicle. You can see that each vehicle is made up from layers and have blurred edges toward the rear, where the camera would have a hard time seeing.
These 3D models could be a sneak peek at the future of FSD visualizations.
High-Fidelity Park Assist Requirements
A big question on everyone’s mind is who will receive this new park assist feature. Tesla didn’t address this in their post on X besides providing a disclaimer that the features in the holiday release are subject to model and region availability. Tesla often likes to test features in select markets before making them available everywhere. It’s hard to say whether that will be the case here. There likely aren’t any legal ramifications around providing visualizations, so that’s a good sign that this feature will be available in most regions, either in the holiday update, or soon afterward.
However, there are still questions around which models or hardware will be required. From the image shared, we can see it’s offered on a Model Y, removing any speculation of it possibly requiring the HD radar in the new Model S/X. We also don’t think it will require FSD hardware 4.0, so the remaining questions are whether it requires MCU 3, or the FSD package.
Given that Tesla is calling this Park Assist, it doesn’t appear to be linked to Auto Park, which is a FSD package feature. When Tesla rolled out visual and audio alerts for vehicles without ultrasonic sensors, it called the feature Park Assist, and that was available to all owners.
Whether this improved Park Assist feature requires a vehicle with MCU 3 will depend on the level of processing power required. It’ll certainly require more than the current visualizations given that its building the scene in real-time, so we’re hopeful that it’ll work on MCU 2 vehicles too, but we just don’t have enough information right now to make the call.
Custom Lock Sounds
Soon you'll be able to choose a custom locking sound for your car
Not a Tesla App
Tesla also announced a fun and whimsical feature that allows owners to customize the lock sound of their Tesla. No longer will you need to listen to the car’s horn when it locks as you walk away. Now you’ll be able to customize the lock sound of the vehicle. Tesla is including several options, including sounds like a screaming goat, a jingle, a rubber ducky, a quack sound, an old school horn and applause. However, you’ll also be able to upload your own file to create a truly unique experience.
You can pick anything, from a bird’s tweet to a favorite video game sound. You’ll only be limited by the maximum upload file size, which according to a Tesla engineer, is a 1MB file in WAV format, which is roughly about 40 seconds at good quality.
This feature is possible due to the vehicle’s external pedestrian warning speaker. So if you have Tesla’s Boombox feature or your vehicle makes a sound when traveling under 20 MPH, then you should receive this fun enhancement.
Rear Seat Audio and Gaming
You'll now be able to play games on Tesla's rear screens
Enhancing the Tesla Arcade experience, passengers in the rear seats can now play games on the rear touchscreen. This feature, especially when paired with Tesla Arcade’s compatibility with PS4, PS5, Xbox Controllers, and rear-screen Bluetooth Headsets, is a welcome addition for families and long trips.
Much like the new Model 3, which received rear audio over Bluetooth support in the 2023.38 update, the new Model S and Model X will also receive this ability in the holiday update.
New Game - Castle Doombad
Tesla announced one other feature in the 2023 holiday update that hadn’t been previously leaked, and that’s a new game called Castle Doombad. Castle Doombad is a single player tower defense, puzzle-like game that’s currently available on iOS and Android, but has an upcoming release on PC and the Nintendo Switch. This game is expected to require MCU 3.
The rollout of the 2023 Holiday Update is expected to follow a similar timeline to last year. Tesla announced that the update will roll out starting next week. However, it’s not clear whether this will also include FSD Beta testers that are on a 2023.27 update.
Like a spoiled child on Christmas morning, Tesla owners still ask, “Is that it?” Well… possibly, but there may be more to look forward to early next year as Tesla builds off of the new High-Fidelity Park Assist feature.
Advanced Smart Summon: Upgrading the Smart Summon feature to be more intuitive and efficient, especially in complex parking scenarios.
Reverse Summon / Park Seek: What happened to Tesla dropping its passengers and driver off at the location and then finding a parking spot on its own?
Enhanced FSD Visualizations: Expanding the Full Self-Driving visualizations to more regions or models or completely recreating the FSD visualizations using the same neural networks Tesla is using for the High-Fidelity Park Assist feature.
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