Yesterday, Tesla released FSD v12.5.4 with update 2024.27.25. The update includes improvements to Tesla’s vision-based attention monitoring and Actually Smart Summon. This update initially rolled out to early-access testers yesterday, but since then, it has rolled out to more users, with the latest wave coming just moments ago.
This update includes more than just FSD bug fixes, so let’s take a look at what’s changed.
Actually Smart Summon Improvements
Actually Smart Summon is now officially known as Actually Smart Summon (Supervised), as per Tesla’s latest video on X (see it below). When Tesla released Actually Smart Summon, it added support for Tesla Vision, live camera feeds, and additional options.
Range Increase: Now, Tesla has brought even more improvements to the table. To start, Actually Smart Summon has had its range increased by about 50 feet – for a total range of 279 feet, or 85 meters. This also comes alongside a few new features, including completion and abort sounds.
Sounds: You can now choose to have the vehicle play a sound when Summon completes successfully. You can select from several – including Applause, “Ta Da,” “Ba-dum Tiss,” and Random. For now, unlike with your vehicle lock sounds, you can’t customize it just yet. To play summon sounds, your vehicle will need a functional Pedestrian Warning Speaker, or PWS. The abort sound only has one option right now – Emissions. Tesla’s engineers love their fart jokes.
Actually Smart Summon 🍑 enables your car to come to you from anywhere in the parking lot
Sadly, Actually Smart Summon is also missing a couple of features—HomeLink compatibility isn’t available for Summon, and Tesla says it's coming soon. The Side Clearance option, which previously let you choose between Standard and Tight clearances, is also gone.
For now, you’re also required to use Continuous Press to summon your vehicle. Usage without Continuous Press is coming soon though.
Actually Smart Summon Requirements
This new version of Actually Smart Summon also comes with some interesting requirements. Just like with previous versions, the doors, tailgate, and frunk must be closed before the vehicle is moved. However, the vehicle must also have a TPMS PSI of 34 or higher (on a Model 3 – this is likely the optimal PSI for your vehicle’s standard tires).
You’ll also need a Tesla app update – v4.37.0 is now the required version, which is currently available for iOS, but not available yet in the Google Play store..
The tire pressure requirement could be a big change, especially as many people who use aftermarket winter tire sets don’t run TPMS units. If you don’t have TPMS sensors in your tires, you may not be able to use Actually Smart Summon at all.
The second major update with 2024.27.25 is for Vision-Based Attention Monitoring. Vision monitoring allows FSD to function without users constantly having their hands on the wheel. Instead, it monitors the driver’s eyes to see if they’re paying attention.
Previously, this was limited to users not wearing sunglasses, although Tesla said the functionality to support sunglasses use would be coming soon. With this update, users can wear sunglasses and enjoy no-nag Full Self Driving.
This is a major update, as one of the biggest consternations with FSD V12.5 was that while vision monitoring was fantastic, it wasn’t always available to the driver if they wanted to wear sunglasses.
An undocumented change for vision monitoring is that if it detects a device—such as a cellphone—in your hand, it will say “Attention Monitoring unavailable—Detected device in hand.” This popped up when the user, @WifeDirtyTesla, leaned her head on her hand while her elbow was on the center console. It may have appeared that she was holding a phone up to her head.
That’s definitely an interesting little undocumented change, and we’re glad to see that Tesla is working to improve user safety for FSD (Supervised).
The new
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Tesla recently showed off a demo of Optimus, its humanoid robot, walking around in moderately challenging terrain—not on a flat surface but on dirt and slopes. These things can be difficult for a humanoid robot, especially during the training cycle.
Most interestingly, Milan Kovac, VP of Engineering for Optimus, clarified what it takes to get Optimus to this stage. Let’s break down what he said.
Optimus is Blind
Optimus is getting seriously good at walking now - it can keep its balance over uneven ground - even while walking blind. Tesla is currently using just the sensors, all powered by a neural net running on the embedded computer.
Essentially, Tesla is building Optimus from the ground up, relying on as much additional data as possible while it trains vision. This is similar to how they train FSD on vehicles, using LiDAR rigs to validate the vision system’s accuracy. While Optimus doesn’t have LiDAR, it relies on all those other sensors on board, many of which will likely become simplified as vision takes over as the primary sensor.
Today, Optimus is walking blind, but it’s able to react almost instantly to changes in the terrain underneath it, even if it falls or slips.
What’s Next?
Next up, Tesla AI will be adding vision to Optimus - helping complete the neural net. Remember, Optimus runs on the same overall AI stack as FSD - in fact, Optimus uses an FSD computer and an offshoot of the FSD stack for vision-based tasks.
Milan mentions they’re planning on adding vision to help the robot plan ahead and improve its walking gait. While the zombie shuffle is iconic and a little bit amusing, getting humanoid robots to walk like humans is actually difficult.
There’s plenty more, too - including better responsiveness to velocity and direction commands and learning to fall and stand back up. Falling while protecting yourself to minimize damage is something natural to humans - but not exactly natural to something like a robot. Training it to do so is essential in keeping the robot, the environment around it, and the people it is interacting with safe.
We’re excited to see what’s coming with Optimus next because it is already getting started in some fashion in Tesla’s factories.
In a relatively surprising move, GM announced that it is realigning its autonomy strategy and prioritizing advanced driver assistance systems (ADAS) over fully autonomous vehicles.
GM is effectively closing Cruise (autonomous) and focusing on its Super Cruise (ADAS) feature. The engineering teams at Cruise will join the GM teams working on Super Cruise, effectively shuttering the fully autonomous vehicle business.
End of Cruise
GM cites that “an increasingly competitive robotaxi market” and “considerable time and resources” are required for scaling the business to a profitable level. Essentially - they’re unable to keep up with competitors at current funding and research levels, putting them further and further behind.
Cruise has been offering driverless rides in several cities, using HD mapping of cities alongside vehicles equipped with a dazzling array of over 40 sensors. That means that each cruise vehicle is essentially a massive investment and does not turn a profit while collecting data to work towards Autonomy.
Cruise has definitely been on the back burner for a while, and a quick glance at their website - since it's still up for now - shows the last time they officially released any sort of major news packet was back in 2019.
Competition is Killer
Their current direct competitor - Waymo, is funded by Google, which maintains a direct interest in ensuring they have a play in the AI and autonomy space.
Interestingly, this news comes just a month after Tesla’s We, Robot event, where they showed off the Cybercab and the Robotaxi network, as well as plans to begin deployment of the network and Unsupervised FSD sometime in 2025. Tesla is already in talks with some cities in California and Texas to launch Robotaxi in 2025.
GM Admits Tesla Has the Right Strategy
As part of the business call following the announcement, GM admitted that Tesla’s end-to-end and Vision-based approach towards autonomy is the right strategy. While they say Cruise started down that path, they’re putting aside their goals towards fully autonomous vehicles for now and focusing on introducing that tech in Super Cruise instead.
NEWS: GM just admitted that @Tesla’s end-to-end approach to autonomy is the right strategy.
“That’s where the industry is pivoting. Cruise had already started making headway down that path. We are moving to a foundation model and end-to-end approach going forward.” pic.twitter.com/ACs5SFKUc3
With GM now focusing on Super Cruise, they’ll put aside autonomy and instead focus solely on ADAS features to relieve driver stress and improve safety. While those are positive goals that will benefit all road users, full autonomy is really the key to removing the massive impact that vehicle accidents have on society today.
In addition, Super Cruise is extremely limited, cannot brake for traffic controls, and doesn’t work in adverse conditions - even rain. It can only function when lane markings are clear, there are no construction zones, and there is a functional web connection.
The final key to the picture is that the vehicle has to be on an HD-mapped and compatible highway - essentially locking Super Cruise to wherever GM has time to spend mapping, rather than being functional anywhere in a general sense, like FSD or Autopilot.
Others Impressed - Licensing FSD
Interestingly, some other manufacturers have also weighed into the demise of Cruise. BMW, in a now-deleted post, said that a demo of Tesla’s FSD is “very impressive.” There’s a distinct chance that BMW and other manufacturers are looking to see what Tesla does next.
BMW chimes in on a now-deleted post. The Internet is forever, BMW!
Not a Tesla App
It seems that FSD has caught their eyes after We, Robot - and that the demonstrations of FSD V13.2 online seem to be the pivot point. At the 2024 Shareholder Meeting earlier in the year, Elon shared the fact that several manufacturers had reached out, looking to understand what was required to license FSD from Tesla.
There is a good chance 2025 will be the year we’ll see announcements of the adoption of FSD by legacy manufacturers - similar to how we saw the surprise announcements of the adoption of the NACS charging standard.
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