This year started with a firework show of cold weather improvements. However, Tesla is now completely redeeming themselves in this holiday update.
V11 coming to Model 3/Y
Emulsifide (Edited by Not a Tesla App)
This year's holiday update is easily the most exciting update of the year. It's feature packed with some of the most requested features and improvements.
It includes an updated UI, a customizable app launcher, blind spot camera, TikTok, new games and so much more. Be sure to check out the release notes for the holiday update to see everything included in this update.
One of the biggest features in the holiday update isn't explicitly mentioned in the release notes.
V11 is Finally Here
The holiday update is officially v11, at least for Model 3 and Model Y owners. It's not clear yet whether pre-refresh Model S or Model X cars will get the updated UI as well.
Thanks to Reddit user Emulsifide, we now have a great look into everything that's included in v11. Let's dive in and find out everything we know about the new UI.
New UI
The Model 3 and Model Y UI has been updated with a fresh new look. It looks very similar to the UI on the redesigned Model S.
The update also brings over some of the UI functionality from the Model S.
Rearranged icons
Emulsifide (Edited by Not a Tesla App)
Speedometer and Visualization
The speedometer and "instrument cluster" areas of the Model 3 have been redesigned.
The visualization area on the left is the same size as v10 and unfortunately, there's no way to resize it.
The information at the top left corner of the screen has been reorganized. The PRND status is now laid out horizontally instead of vertically, which allows the speedometer to be pushed all the way to the left. Its now slightly closer to the driver.
The previous UI (left) compared to the new one (right)
Emulsifide (Edited by Not a Tesla App)
The accelration/braking line now goes almost edge to edge on the left side of the screen, instead of appearing between the PRND indicator and battery status.
Car status lights such as headlights and high beams are in a similar locations as before, but the speedometer is now directly above them instead of the PRND indicator.
Other icons that appear near the top of the screen have been moved around as well.
The Autopilot icon that used to appear underneath the acceleration/braking line has been moved up next to the gear selection.
In order for the Autopilot icon to visually fit in that area, it's now much smaller, having about the same height as gear letters themselves.
The speed limit sign is now smaller and remains aligned to the right of the visualizations panel.
The cruise control/max speed icon has updated from the classic blue circle to more closely match the US speed limit sign. Instead of having the set speed with a blue circle around it, it's simplified to just the set speed with the word "MAX" underneath. The cruise control speed icon is also aligned to the right now.
All of the icons have been pushed over to the edges, creating some empty unused space in the middle, which creates some additional height for the car visualizations.
With the increased height available for visualizations, details that are further away can now be displayed. The car visualizations themselves appear to be unchanged in this release.
App Launcher / Bottom Navigation
Customizable apps
Emulsifide (Edited by Not a Tesla App)
One of the most significant changes to the UI is the new look and available options in the car's bottom navigation.
The bottom navigaton, known as the app launcher, can now be customized.
It features three distinct areas, fixed apps that can not be moved or rearranged, customized apps and what appears to be recent apps, much like the Model S.
There is a predefined list of apps that can be placed in the app launcher. Apps that can be added to the launcher include:
Dashcam
Energy
Calendar
Messages
Theater
Arcade
Toybox
Browser
Spotify
Bluetooth
Radio
Caraoke
Tune
TIDAL
Streaming
Backup Camera
Phone
To make room for customizable apps in the app launcher, many apps or features were removed.
For example, the wipers, seat heater and front and rear defrost options were removed from the launcher and can now be found in other locations.
Wipers are now accessible through the left stalk button or by going to Controls, where you're then able to choose from off, low speed, medium, fast or auto options.
Seat heaters are now automatic and the temperature setting will be based on your set cabin temperature and the actual temperature inside of the vehicle. You can still set seat heaters manually by going into the HVAC options.
Unfortunately, the launcher options that were removed are not selectable as apps you can add back to the launcher.
New Icons
Version 11 now uses the same colorful app icons as the redesigned Model S.
Although most users prefer the modern monochrome look of the previous icons, I can see how these colorful icons may make apps easier to find at a glance.
My biggest issue with the new icons is that they appear out of place. They don't appear to go together as package, but this is subjective and some owners may be fans of their new look.
Top Status Bar
Shortcut to Sentry Mode
Emulsifide (Edited by Not a Tesla App)
The icons in the status bar along the top of the screen has been reorganized. Normally, you'd find quick access to Wi-Fi, Bluetooth and LTE settings in this location, however these no longer appear under normal circumstances to provide a more streamlined look.
Other shortcuts in the top status bar such as Sentry Mode, Dashcam and Driver Profiles also aren't visible at all times.
Instead, these icons will only show up in the status bar whenever you're in Controls. When you're in any of the car's menus, you will then see all the familiar icons along the top of the screen.
Cards
The cards that you could swipe between on the visualization panel have been removed. Although some information will still appear in this area, you can no longer swipe to bring up the wipers, odometer, tire pressure or other items.
Most of these items have been relocated to be within the controls menu. For example, tire pressure now appears in Controls > Service.
Some alerts will continue to show up in the visualization area such as seat belt warnings and active call information.
Reorganized Menus
New menus
Emulsifide (Edited by Not a Tesla App)
The control menus have been changed and reorganized to make them more consistent with the new Model S UI and to bring consistent between the Model 3/Y and the Model S/X.
Instead of odometer and trip information being a swipeable card, it can now be found by going to Controls > Trips, similar to the Model S and X.
Wiper settings are now under Controls as well and tire pressure is located under Service.
Some menu items have been renamed. Driving has been renamed to Pedals & Steering, while Safety & Security has been changed to just Safety.
Quick Controls is now just known as Controls, similar to the Model S.
The new Controls menu now includes buttons for features that can't be accessed anywhere else.
For example, Controls is now where you set your wiper speed, turn on Sentry Mode and Dashcam, open your glovebox and more.
The charging app was removed from the app launcher, so charge settings can now be found by going to Controls and then the new Charging menu.
The dedicated glovebox button that appeared at the bottom of all the menus has now also be moved to the Controls menu. Although it now appears within a menu, it is still still two taps to open the glovebox.
Blind Spot Camera
Blind Spot Camera
Emulsifide (Edited by Not a Tesla App)
One of the features that is getting a lot of attention in this update is the new Blind Spot Camera feature.
It's an optional feature that will automatically show you the live camera view from your blind spot when you your turn signal is activated.
The car will automatically show you the left or right fender camera feed when the appropriate turn signal is used.
The camera feed will appear underneath the driving visualization, where the cards used to appear.
The camera feed will also automatically be dismissed when your turn signal is turned off.
HVAC Quick Controls
HVAC Quick Controls
Emulsifide (Edited by Not a Tesla App)
There is a new quick controls menu that appears when you change the cabin temperature.
Previously, when you adjusted the cabin temperature, you would get a slider to adjust the temperature and a button to enable Split mode.
However, now there are some additional options in this menu. Apps that were removed from the app launcher such as HVAC settings, seat heaters and front and rear defrost now appear in this quick menu.
If you want to get to the full HVAC settings, you can tap on the gear icon.
This will take getting a little used to as the full HVAC settins are now a swipe and tap away and feel more hidden.
Overall V11
Many owners have been looking forward to v11 to match what the Model S offers today.
Although not all the features that the Model S offers are here, the visual refresh is a welcome one. Some elements of the Model S such as window docking, the music mini-player are not available in this release.
Emulsifide (Edited by Not a Tesla App)
The existing apps in the Model 3 remain unchanged. For example, the music player still looks and functions the same as it did before and it can only appear on the right side of the screen.
Tesla has added many features over the years. Three years ago when the Model 3 was introduced, Sentry Mode, Dashcam, Dashcam Viewer, Tesla Theater and so many other features didn't exist.
Adding these features to the UI started making it crowded in certain areas.
Tesla took this as an opportunity to reorganize and declutter some of the UI so that it remained clean and intuitive
Some of the new buttons may take some getting used to, but it's exciting to officially see v11 running on a Model 3.
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As December approaches, Tesla’s highly anticipated Holiday update draws closer. Each year, this eagerly awaited software release transforms Tesla vehicles with new features and festive flair. If you’re not familiar with Tesla’s holiday updates, take a look at what Tesla has launched in the Holiday update the past few years.
For this chapter in our series, we’re dreaming up ways Tesla could improve the charging experience and even add some additional safety features. So let’s take a look.
Destination State of Charge
Today, navigating to a destination is pretty straightforward on your Tesla. Your vehicle will automatically let you know when and where to charge, as well as for how long. However, you’ll likely arrive at your destination at a low state of charge.
Being able to set your destination state of charge would be an absolute game-changer for ease of road-tripping. After all, the best EV to road trip in is a Tesla due to the Supercharger network. It looks like Tesla may be listening. Last week, Tesla updated their app and hinted at such a feature coming to the Tesla app. A Christmas present, maybe?
Battery Precondition Options
While Tesla automatically preconditions your battery when needed for fast charging, there are various situations where manually preconditioning the battery would be beneficial.
Currently, there is no way to precondition for third-party chargers unless you “navigate” to a nearby Supercharger. If you need to navigate to a Supercharger that’s close by, the short distance between your location and the Supercharger will also not allow enough time to warm up the battery, causing slower charging times.
While we already mentioned Live Activities in the Tesla app wishlist, they’d be especially useful while Supercharging. Live Activities are useful for short-term information you want to monitor, especially if it changes often — which makes them perfect for Supercharging, especially if you want to avoid idle fees.
Vehicle-to-Load / Vehicle-to-Home Functionality
The Cybertruck introduced Tesla Power Share, Tesla’s name for Vehicle-to-Home functionality (V2H). V2H allows an EV to supply power directly to a home. By leveraging the vehicle’s battery, V2H can provide backup power during outages and reduce energy costs by using stored energy during peak rates.
Tesla Power Share integrates seamlessly with Tesla Energy products and the Tesla app. We’d love to see this functionality across the entire Tesla lineup. Recently a third party demonstrated that bidirectional charging does work on current Tesla vehicles – namely on a 2022 Model Y.
Adaptive Headlights for North America
While Europe and China have had access to the Adaptive Headlights since earlier this year, North America is still waiting. The good news is that Lars Moravy, VP of Vehicle Engineering, said that these are on their way soon.
Blind Spot Indication with Ambient Lighting
Both the 2024 Highland Model 3 Refresh and the Cybertruck already have ambient lighting features, but they don’t currently offer a practical purpose besides some eye candy. So why not integrate that ambient lighting into the Blindspot Warning system so that the left or right side of the vehicle lights up when there’s a vehicle in your blind spot? Currently, only a simple red dot lights up in the front speaker grill, and the on-screen camera will also appear with a red border when signaling.
Having the ambient lighting change colors when a vehicle is in your blind spot would be a cool use of the technology, especially since the Model Y Juniper Refresh and Models S and X are supposed to get ambient lighting as well.
Tesla’s Holiday update is expected to arrive with update 2024.44.25 in just a few short weeks. We’ll have extensive coverage of its features when it finally arrives, but in the meantime, be sure to check out our other wishlist articles:
It’s time for another dive into how Tesla intends to implement FSD. Once again, a shout out to SETI Park over on X for their excellent coverage of Tesla’s patents.
This time, it's about how Tesla is building a “universal translator” for AI, allowing its FSD or other neural networks to adapt seamlessly to different hardware platforms.
That translating layer can allow a complex neural net—like FSD—to run on pretty much any platform that meets its minimum requirements. This will drastically help reduce training time, adapt to platform-specific constraints, decide faster, and learn faster.
We’ll break down the key points of the patents and make them as understandable as possible. This new patent is likely how Tesla will implement FSD on non-Tesla vehicles, Optimus, and other devices.
Decision Making
Imagine a neural network as a decision-making machine. But building one also requires making a series of decisions about its structure and data processing methods. Think of it like choosing the right ingredients and cooking techniques for a complex recipe. These choices, called "decision points," play a crucial role in how well the neural network performs on a given hardware platform.
To make these decisions automatically, Tesla has developed a system that acts like a "run-while-training" neural net. This ingenious system analyzes the hardware's capabilities and adapts the neural network on the fly, ensuring optimal performance regardless of the platform.
Constraints
Every hardware platform has its limitations – processing power, memory capacity, supported instructions, and so on. These limitations act as "constraints" that dictate how the neural network can be configured. Think of it like trying to bake a cake in a kitchen with a small oven and limited counter space. You need to adjust your recipe and techniques to fit the constraints of your kitchen or tools.
Tesla's system automatically identifies these constraints, ensuring the neural network can operate within the boundaries of the hardware. This means FSD could potentially be transferred from one vehicle to another and adapt quickly to the new environment.
Let’s break down some of the key decision points and constraints involved:
Data Layout: Neural networks process vast amounts of data. How this data is organized in memory (the "data layout") significantly impacts performance. Different hardware platforms may favor different layouts. For example, some might be more efficient with data organized in the NCHW format (batch, channels, height, width), while others might prefer NHWC (batch, height, width, channels). Tesla's system automatically selects the optimal layout for the target hardware.
Algorithm Selection: Many algorithms can be used for operations within a neural network, such as convolution, which is essential for image processing. Some algorithms, like the Winograd convolution, are faster but may require specific hardware support. Others, like Fast Fourier Transform (FFT) convolution, are more versatile but might be slower. Tesla's system intelligently chooses the best algorithm based on the hardware's capabilities.
Hardware Acceleration: Modern hardware often includes specialized processors designed to accelerate neural network operations. These include Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs). Tesla's system identifies and utilizes these accelerators, maximizing performance on the given platform.
Satisfiability
To find the best configuration for a given platform, Tesla employs a "satisfiability solver." This powerful tool, specifically a Satisfiability Modulo Theories (SMT) solver, acts like a sophisticated puzzle-solving engine. It takes the neural network's requirements and the hardware's limitations, expressed as logical formulas, and searches for a solution that satisfies all constraints. Try thinking of it as putting the puzzle pieces together after the borders (constraints) have been established.
Here's how it works, step-by-step:
Define the Problem: The system translates the neural network's needs and the hardware's constraints into a set of logical statements. For example, "the data layout must be NHWC" or "the convolution algorithm must be supported by the GPU."
Search for Solutions: The SMT solver explores the vast space of possible configurations, using logical deduction to eliminate invalid options. It systematically tries different combinations of settings, like adjusting the data layout, selecting algorithms, and enabling hardware acceleration.
Find Valid Configurations: The solver identifies configurations that satisfy all the constraints. These are potential solutions to the "puzzle" of running the neural network efficiently on the given hardware.
Optimization
Finding a working configuration is one thing, but finding the best configuration is the real challenge. This involves optimizing for various performance metrics, such as:
Inference Speed: How quickly the network processes data and makes decisions. This is crucial for real-time applications like FSD.
Power Consumption: The amount of energy used by the network. Optimizing power consumption is essential for extending battery life in electric vehicles and robots.
Memory Usage: The amount of memory required to store the network and its data. Minimizing memory usage is especially important for resource-constrained devices.
Accuracy: Ensuring the network maintains or improves its accuracy on the new platform is paramount for safety and reliability.
Tesla's system evaluates candidate configurations based on these metrics, selecting the one that delivers the best overall performance.
Translation Layer vs Satisfiability Solver
It's important to distinguish between the "translation layer" and the satisfiability solver. The translation layer is the overarching system that manages the entire adaptation process. It includes components that analyze the hardware, define the constraints, and invoke the SMT solver. The solver is a specific tool used by the translation layer to find valid configurations. Think of the translation layer as the conductor of an orchestra and the SMT solver as one of the instruments playing a crucial role in the symphony of AI adaptation.
Simple Terms
Imagine you have a complex recipe (the neural network) and want to cook it in different kitchens (hardware platforms). Some kitchens have a gas stove, others electric; some have a large oven, others a small one. Tesla's system acts like a master chef, adjusting the recipe and techniques to work best in each kitchen, ensuring a delicious meal (efficient AI) no matter the cooking environment.
What Does This Mean?
Now, let’s wrap this all up and put it into context—what does it mean for Tesla? There’s quite a lot, in fact. It means that Tesla is building a translation layer that will be able to adapt FSD for any platform, as long as it meets the minimum constraints.
That means Tesla will be able to rapidly accelerate the deployment of FSD on new platforms while also finding the ideal configurations to maximize both decision-making speed and power efficiency across that range of platforms.
Putting it all together, Tesla is preparing to license FSD, Which is an exciting future. And not just on vehicles - remember that Tesla’s humanoid robot - Optimus - also runs on FSD. FSD itself may be an extremely adaptable vision-based AI.
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