Tesla's next update will be update 2022.36 instead of 2022.32. Tesla's version naming is based on the year and the week number. So update 2022.36 would have been started around the 36th week of 2022.
Tesla traditionally releases an update every four weeks, but sometimes updates can take longer to develop, test, or fix bugs, causing the version number to fall behind the calendar.
Although it doesn't happen too often, Tesla has skipped update version numbers in the past.
Given that we're now in the 39th week of the year, Tesla has chosen to skip version 2022.32 and jump directly to 2022.36.
Update 2022.36 is right around the corner and we're now having our first look at the features included in this update.
New Language
Tesla is adding support for a new language bringing its total to well beyond 20 now. Update 2022.36 introduces Lithuanian as a supported language for the vehicle's on-screen controls.
More Notifications
About two years ago Tesla added the ability to notify you via your mobile phone if the car doors, trunk or windows were left open.
With 2022.32 they're adding on to this feature and will now notify you if the car has been left unlocked.
If you have the walk-away lock feature turned on your vehicle automatically locks when you walk away if you're using a phone key or key fob. You also have the option to exclude locking when at home.
Supercharger Details
When tapping on a Supercharger icon on the vehicle's navigation system will reveal a pop-up that displays additional information about that Supercharger location.
Tesla already shows you the number of stalls available, the price and available amenities at the location.
With 2022.36 Tesla has redesigned the pop-up and will display historical usage for each Supercharger location.
It appears that Tesla will display typical usage for the location by providing an hourly analysis of how busy the Supercharger typically is at certain times of the day.
This feature should let us easily view the busiest times at Superchargers, letting us plan our charging stops a little better.
New Energy Graph
The biggest feature of 2022.36 is by far a new energy graph.
Tesla has made tremendous improvements around its energy predictions in the last few updates and although they haven't changed the UI of the energy graph, it has resulted in much more accurate predictions that now take wind, humidity, the number of occupants, phone charging and more into account when predicting energy usage.
With 2022.36 Tesla delivers a brand new energy app that shows much more detail on how the vehicle is using energy.
The new Model S and Model X haven't had the energy graph available and now this may explain why. Tesla has likely been working on this new energy graph for a while and didn't want to spend time adapting the old app to fit the new vehicles. The new vehicles may finally receive an energy app with this update.
The new energy graph will not only let you view the energy the vehicle is using while driving but also the amount of energy that was used while the vehicle was parked.
Whether the vehicle is driving or parked, you'll now be able to see a complete breakdown of all the different systems in the vehicle and how much energy they've used. Unfortunately, Tesla doesn't display energy used in kW, but in percentage.
The vehicle will also provide suggestions on how to improve efficiency.
At the top of the energy graph where you normally have Consumption and Trip, you'll now have a new option called Park which displays energy used while parked.
The consumption screen looks similar to the way it did before. It displays the vehicle's energy usage on a graph over a chosen distance.
However, the Park and Trip views have been completely revamped.
On the Park screen, the vehicle will display various vehicle components and their energy usage. For example, the vehicle will break down its energy usage over several categories including the vehicle's screen, vehicle pre-conditioning, cabin overheat protection, Sentry Mode and mobile app usage and more.
Next to each category, the vehicle will display the percentage of the energy used for the feature and how it compares to the rest of the fleet. This could be helpful to let you know whether the amount of energy used for that feature is in line with expectations.
You'll also be able to change the timeframe since the last departure or other periods.
Similar to the Park screen, the new Trip screen also displays a breakdown of energy used across different vehicle systems, although it also adds a graph at the top, similar to what's available in the vehicle today.
The graph will automatically change colors, not based on the battery state of charge, but dependent on whether the vehicle used more or less energy in the given segment of the route when compared to its predictions.
Underneath the graph, Tesla will display the amount of energy used for driving, climate, battery conditioning, altitude, and other systems.
In addition to displaying the percent of the energy used for each system, Tesla will also compare your usage to its prediction and the percentage difference above or below the prediction.
There could be other features in the 2022.36 update that aren't mentioned here and we'll have to wait a little longer to see whether there are any additional features.
The biggest update in this release appears to be the new energy app and many owners will be thrilled with its release.
We may start seeing 2022.36 going out to the public in the next couple of weeks. You can also view the release notes for 2022.36.
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Last week, Mark Ruber, an engineering YouTuber best known for his glitter bombs, released a video where he tested Tesla's Autopilot against various conditions - including the iconic ACME painted wall.
During this test, many people noted that Mark was using Autopilot rather than FSD, even though his video was titled “Can you Fool a Self-Driving Car?”. The Tesla on Autopilot went up against a vehicle equipped with Luminar’s LIDAR rig, running some sort of basic autonomy or safety software.
New Video Tests FSD
Many people were disappointed with Mark’s video and his testing methods, so several creators got to work to actually test out Tesla’s FSD.
Creator Kyle Paul over on X made a much better follow-up video, using both a HW3 Model Y as well as an AI4 Cybertruck. In a relatively unsurprising turn of events, the Cybertruck was successfully able to detect the wall, slowed down, and came to a stop. The Cybertruck was running FSD 13.2.8.
Kyle’s team did a fantastic job building the wall and testing this in a private area using FSD rather than Autopilot. On top of that - they re-tested the results several times and recorded the entire thing in and out. While Mark’s video was more for entertainment, Kyle really set out to prove what would really happen in this unlikely scenario.
Sadly, the HW3 Model Y was unable to detect the wall, and manual intervention was required in each test. While the Model Y was running FSD 12.5.4.2 rather than an FSD V12.6 build, we don’t expect this to have had a significant impact on the test - this is more of an issue with how computer vision analyzes the environment.
There are several major differences between HW3 and HW4. The first is obviously that the version that runs on AI4 is more advanced, as the hardware is capable of processing a lot more data. However, AI4 also features much higher-resolution cameras than HW3, and Tesla recently added the ability for the video feeds to be processed at full resolution on FSD V13. This could have made the difference, although it’s not entirely clear. Perhaps if HW3 gets a version of FSD V13 in the future, HW3 can be retested to see if it passes the “ACME wall” test.
Watch
Kyle’s entire video is below. It’s only 10 minutes long, so definitely give it a watch. Props to Kyle on the quick and thorough execution.
What Does This Mean for FSD?
We broke down Mark’s test - and examined all the little issues that we discovered after doing some in-depth research - you can read our analysis here.
Putting aside the issues with Mark’s testing and instead using the new results - it seems that if you were to have to fight against Wile-E-Coyote and his ACME tools with your Tesla, cartoon logic may win if you’re on an HW3 vehicle. If you’re on an AI4 vehicle, you’ll likely come to a safe stop.
Vehicle depth perception is definitely something that Tesla has been hard at work to improve - and some fairly drastic improvements came with FSD V13 that haven’t been entirely translated to FSD V12 just yet. Future versions of HW3 FSD may be able to determine that the wall is there successfully. So Kyle - if you’re reading this - don’t get rid of that wall. We’d love to see more testing in the future.
However, this entire test scenario is so out of left field… there is a good likelihood this same test would fool some human drivers as well. The most important part is that the future of autonomy will not fall for these tricks, so it's very unlikely for someone to weaponize this idea as it’d only possibly work on a small segment of vehicles.
If Wile-E-Coyote is after you, someone else may drive into the wall before your Tesla does.
Not a Tesla App
We’re not kidding, this really happened already. This isn’t a realistic scenario outside of someone trying to play an insane prank - but it’s good to know that FSD V13 is capable of dodging this.
Tesla regularly holds quarterly all-hands meetings for employees, but last night marks the first time Tesla has live-streamed the event for the public.
The meeting primarily focused on Tesla’s employees, recent achievements, and the future of Tesla. While it didn’t reveal much new information, it was interesting to see Elon Musk candidly engaging with his teams, who seem to genuinely enjoy working with him. Still, there were a few noteworthy takeaways.
As with Tesla’s Earnings Calls and other live events, we’ve put together a concise, easy-to-digest recap of everything discussed.
General Points
Work-related Injuries declined over time
Planning to expand to new markets
Cell Manufacturing
Continuing to invest in battery supply
Cheapest, lowest cost per kWh cell
The supercharger network continues to grow
Vehicle range and charging speed should match the needs of humans and their required time for breaks
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