Over the weekend Tesla released FSD Beta V11.3 (release notes) to more employees. It's not clear whether all employees now have access to the latest beta or if the number of employees was expanded.
Tesla typically releases the latest FSD Beta to all employees as a final test before starting its public release. We could see the first public release of the beta later today.
Elon Musk said earlier this month that FSD Beta V11.3 would start rolling out last week. However, it could be a while before it rolls out to everyone with FSD Beta installed. According to the latest Tesla 'recall,' Tesla now has 362,000 vehicles in the US and Canada running FSD Beta.
Improved Visualizations
We previously heard that FSD Beta V11 would include improved visuals. We now have our first look at these improvements. From the leaked photo we can tell the vehicle's path is much wider. The reason for this could be that Tesla wants to not only represent the path the vehicle will take, but also the space the vehicle will take up when it's at a specific location.
Another obvious change is the removal of the red road edges. They appear to have been replaced with light gray lines instead, which fits in with Tesla's simplistic style of the surrounding environment.
The dotted lines between the lanes also have a different style. They used to be very defined and now have a slight blur to them, similar to other road markings. It'd be interesting to see if Tesla is now using vision to determine the dotted line width and length.
It's hard to tell much else from the image, but the vehicle appears to be on a highway, which means that the FSD Beta visuals will be applied to highway use as expected. It's not clear whether there are other improvements in the visualizations or if can detect new objects.
New Features
With the expansion of the beta to more employees, the release notes for V11.3 have now been leaked, at least partially. The biggest feature on the list is the expected single-stack transition, where Tesla will now use everything it has learned from FSD Beta on city streets and use the same technology for Autopilot on the highway.
However, the list of improvements is long and notable.
Leave Notes About a Disengagement
One of the improvements in this beta according to the release notes is the addition of 'voice drive-notes,' which will allow you to comment on a disengagement with an audio description.
- Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
This will presumably be done through a voice command and Tesla is likely transcribing these to text on their end to make them readable and searchable instead of having to listen to a message, although it appears that you will be able to leave a comment after a disengagement. This may work similarly to the 'Report a bug' feature.
Expanded Automatic Emergency Braking
With this beta, Tesla is expanding Automatic Emergency Braking (AEB) to handle vehicles crossing in your path. AEB was limited to when approaching another vehicle from behind, however, Tesla is expanding this to also apply to vehicles crossing your path. Although this is lumped in with the FSD Beta's release notes, and it depends on vision and improvements made with FSD Beta, it will not only apply to FSD/Autopilot but also when you're driving manually.
In the release notes Tesla mentions that according to data they've collected this improvement with AEB would have prevented 49% of collisions.
Improved Highway Handling
One of the features I'm excited to see in this release is the improvement to the vehicle's path when traveling on the highway. If you encounter a sharp turn, the vehicle tends to get too close to the outside of the curve instead of keeping itself in the center of the lane.
This will apparently be improved with this update as Tesla says there is improved handling at high speeds in high curvature scenarios.
The release notes cover other improvements as well, such as improved lane changes and mergers, as well as object detection and decision-making refinements.
This software version that was released to employees is version 2022.45.5, which is untraditional for Tesla since it has an odd week in the version number, although since we're getting closer to the expected release of FSD Beta V11.3, it's possible this could be the version everyone receives in the coming weeks.
Now that release notes and the first image has been shared, we may soon see what else is included in this update. To find out more about this beta, check out the release notes for FSD Beta V11.3.
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
Tesla
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
Tesla
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
Tesla
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.
Release Timeline
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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