You can jump to any section of a song by tapping anywhere on the progress bar
Not a Tesla App
Tesla vehicles are known for their cutting-edge technology, making the driving experience enjoyable and efficient. In this article, we will delve into Tesla tips and tricks that can further enhance your experience. While some of these tips may be specific to the Model 3 and Model Y, many are applicable across the Tesla lineup.
Automatically Start FSD With Full-Screen Visualizations
You can choose to automatically start visualizations in full screen
Not a Tesla App
If you love the Tesla's full-screen visualizations, you can choose to automatically go to full-screen every time you start Autopilot. Although the option isn't obvious, it's available in settings. Simply go to Controls > Autopilot and enable 'Expanded Full -Self-Driving Visualization.'
Now every time you start FSD, visualizations will automatically shift into full-screen mode. Likewise, if you've enabled this option before and didn't understand why visualizations were always full-screen, you can simply disable it.
To exit the full-screen visualizations, you can similarly swipe left near the top of the screen. Even a small swipe near the driver will suffice.
Easily Close an App
YYou can quickly swipe down from the very top of the screen to close an app
Not a Tesla App
There are various ways to close an open app, however, one of the easiest allows you to close an app without taking your eyes off the road. Everyone knows that you can swipe down on most apps to close them, however, what some owners don't realize is that you don't have to swipe down from exactly the top of the app.
Instead, your finger can actually start off screen -- so you can touch the very top of the monitor, and start a swiping motion downward. The app will still register it as a downward swipe and close, letting you keep your eyes on the road.
The only gotcha with this method is that there can't be any status icons in the between your finger and the open app. For example, you can't swipe your finger downward and go over the current time or temperature. It has to be an empty space. This has replaced my favorite method of closing an app.
Use the Maps Icon for Two Features
The new maps icons has two features
Not a Tesla App
As of update 2024.14, you can now add a new Maps icon to the dock through the all apps menu. The purpose of the nav icon is to give you a consistent, one-tap access to get back to the vehicle's navigation screen. While it's useful, it also has an addition purpose. If you're already viewing maps, you can tap the icon to essentially hide the maps and enable full-screen visualizations.
Reveal a Dropdown of Audio Sources
Jump to another audio source by tapping the app's icon
Not a Tesla App
This is a nice little hidden feature in Tesla's audio apps. From within any audio app, you can jump to any other audio source by tapping the app's icon. Tapping the icon will reveal a dropdown of all audio sources that haven't been hidden in audio settings.
Jump to Section in Song
When playing audio and you want to jump to a specific part of a song or podcast, you don't need to drag the progress bar. Instead, you can just tap anywhere on the progress bar to jump to that part.
Display Alternate Routes
You can tap the next turn display to show alternate routes
Not a Tesla App
When navigating to a location, you can tap the next turn module near the top of the screen to have the vehicle display any alternate routes to your destination.
The alternate routes view is similar to the ones displayed at the beginning of your drive, however, they're determined by your current location. This could be useful to circumvent construction or blocked roads.
As an alternative, you can also tap the compass icon at the top right of the display, which will also bring up alternate routes.
Set Cruise Control to Current Speed
You can tap the speedometer or speed limit sign to set your Autopilot speed
Not a Tesla App
While on Autopilot, you can tap the speedometer to set the maximum Autopilot speed to your current speed. This is useful if you want to maintain your current speed without manually adjusting it.
Auto Set Cruise Control to Speed Limit
Similarly, you can tap the speed limit sign to set the maximum speed to the speed limit plus your preferred offset. Again, this helps maintain a safe and legal speed while using Autopilot.
Open Music Selection
Tap the album art to open or close the large music panel, making it easy to access and control your music while driving.
Jump to Audio Settings
You can adjust audio settings by volume control in the launcher
Not a Tesla App
To quickly adjust audio settings, such as balance and equalizer, tap the volume button in the bottom right corner of the screen, then tap the levels icon.
Quickly Close Open Apps
Many apps can be swiped down to be closed, however, you don't have to swipe down from the very top of the app. If the app is already scrolled to the top, you can swipe down on any non-interactive part of the app, or white space to close the app.
You can also simply close all apps or menus by using a simple voice command such as "show map" or by tapping the icon for the open app.
One-Touch Access to Calendar
Tap the clock to quickly open your calendar, keeping your schedule at your fingertips.
Quickly Navigate Home
Swipe down on the navigate button to quickly navigate to your home or work, making your daily commute seamless.
Jump Back to Maps
In a Model 3 or Model Y, if your map is covered either with an app or menu, you can tap the navigation box that appears next to your speedometer to quickly jump back to the map screen and minimize any open apps.
Turn Off Climate
To turn off the climate system, hold down the climate temperature button.
Quickly Open Climate Screen
Swipe from anywhere in the launcher to open the climate window, giving you quick access to climate controls.
Unsync Passenger Temperature
Sync cabin temperature for the driver and passenger by pressing the climate arrows and choosing "split." Alternatively, use the voice command "sync climate" or "unsync climate" to control temperature settings.
Charging Menu
Tap the battery icon to jump to the charging menu, allowing you to monitor and adjust charging settings.
Switch Between Miles and Percentage
Tap the range to switch between displaying miles and percentages, providing a customizable view of your remaining charge.
Details on Indicator Lights
Indicator lights that appear on the left can also be tapped to access the appropriate menu. For example, tapping the headlights icon brings up light settings, while the low tire pressure icon opens the tire pressure menu.
You can tap on the indicator lights to go to the appropriate menu
Tesla
Adjust Wiper Speed
Pressing the button on the left stalk will wipe the windshield once and bring up wiper settings so you can easily adjust them. As of update 2023.12, you'll also be able to use the left scroll wheel once the wiper settings are on the screen to easily adjust between wiper settings.
Disable Auto Highbeams
Flicking your high beams stalk also brings up light settings, giving you quick access to headlight controls.
Temporarily Enable Blind Spot Monitor
Whether or not you use Tesla's blind spot cameras when your turn signal is enabled, you can tap the turn signal icon on the screen to either temporarily enable or disable the blind spot camera. This is especially useful for drivers who choose not to use the blind spot camera, but would occasionally like to view what's beside them.
Heated Mirrors
If your mirrors are fogged up or have snow or frost on them, you can turn on your heated mirrors by enabling the rear window defroster.
Voice Commands
To open the glovebox, use the voice command "open glovebox" or tap the car icon on the touchscreen, followed by the glovebox icon.
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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