Everyone loves receiving new updates for their Tesla. But do you know what the version numbers mean and why there are so many versions? We take a look at exactly what Tesla version numbers imply and how Tesla creates and branches their code.
What It Means
A recent Tesla update had version number 2021.32.201b7f33580a5f. Let’s take a look at how Tesla numbers their versions and what it means.
The first portion of the version number, 2021, is the year of the release. The second, 32, is the week number of the year. Since Tesla has a history of releasing a major update every four weeks, you’ll almost always see this number in increments of four. After the week number is the revision of the build.
The first build of a release usually does not have a revision and it’s simply known as 2021.32. This is the first build and is only rolled out to a very small portion of the Tesla fleet, if at all.
As Tesla gathers fleet data and learns about any issues, they’ll make improvements and fixes to the release. The next update will have a revision number, such as '.1'. Revision numbers go by incrementally, although not always by one. The number is often arbitrary, but it should reflect the amount of changes in the release. For example, going from 2021.32.1 to 2021.32.2 would often indicate a smaller change than jumping to 2021.32.20.
The revision number should be looked at as a single number and not as a decimal. For example, version 2021.32.2 is an earlier build of 2021.32.20.
Hash
The seemingly random numbers and letters you'll see at the end of a version number is a unique key called a hash that is used to identify that code. A hash is used every time new code is added to a code base and the ones we see in an update are used to identify that specific release.
Gradual Updates
Tesla will often start with a release such as 2021.32 and they’ll gradually roll it out to some vehicles, get data, make fixes and then roll out another release. By the time an update is in wide release, it likely has gone through various revisions and will have a higher revision number.
Tesla releases their updates gradually so that they can minimize any potential issues and keep everyone safe. If there are any major issues with a release, it likely only impacted a smaller portion of the fleet.
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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