Last night Tesla rolled out update 2024.26.15 which included FSD v12.5.1.4. Although the release notes remain the same with this update, the big news is that Tesla has finally added support for hardware 3 vehicles to this FSD 12.5 version.
Once the release went out, we heard rumblings early on that update 2024.26.15 may add support for hardware 3, however, today we’ve been able to confirm that Tesla has HW3 vehicles running this latest FSD update.
Elon Musk initially said that FSD 12.5 was expected to be available for HW3 in about 10 days after it rolled out to AI4. Although that date has come and passed, it finally arrived for employees last night. Although It’s only been about three weeks, it felt like an eternity for HW3 owners who have been anxiously awaiting this update. Many owners weren’t sure whether their vehicles would be able to run the latest version of FSD once the original goal of 10 days was missed. This is one area where Tesla can stand to improve — consumer communication.
Rollout Plan
Although Tesla has internal HW3 vehicles running update FSD 12.5.1.4, their public rollout plan may not go to HW3 vehicles initially. Tesla may choose to roll out the update to vehicles with HW4 first to confirm there are no regressions before proceeding with the launch on HW3 vehicles.
Keep in mind that not every release that goes to employees ends up going out to the public. However, most releases usually start rolling out to early-access customers within a few days if there are no major issues.
HW3 vehicles are currently running FSD v12.3.6, while most HW4 (AI4) vehicles are running FSD v12.5.1.3. FSD v12.5 in general includes a huge array of optimizations and is supposed to be as big an improvement as the capability jump between v11 and v12.
We don’t expect any new features in FSD v12.5.1.4 besides HW3 support as that would complicate solving any potential regressions. However, we’re still awaiting several new features that come in a later version of FSD v12.5 such as nag-less FSD using sunglasses, FSD support on the Cybertruck, improved lane changes, end-to-end neural networks on the highway, and even Actually Smart Summon.
What’s Included & Who’s Eligible
This update is based on Tesla’s 2024.26 code branch, meaning that everyone who subscribes or owns FSD will be eligible to receive it. Tesla is already testing update 2024.32, but it hasn’t gone out to customers yet.
FSD V12.5 rolled out to AI4 vehicles much earlier than hardware 3 vehicles – as code optimization was required to have the FSD model run on the older hardware. It seems that the extra compute offered by AI4 vehicles has allowed Tesla to release V12.5 faster, which also helps them gather more data.
Now that HW3 support has been released, this could set the new tempo for new updates. Major FSD updates – V12.6 or V12.7 will likely also have AI4 support before hardware 3 support, as it seems easier to develop with more hardware power and then later optimize code once you have a working product. However, Tesla has committed to maintaining hardware 3 support, even if the code requires optimization to function on older hardware.
Divergence
AI4 only really started rolling out in the middle of last year, with most customer vehicles arriving with AI4 near May 2023. The optimization gap has been a surprise, especially since AI4 is still running hardware 3 in emulation mode. There will be a divergence between AI4 and Hardware 3, and Elon has mentioned that the new supercomputer cluster will be dedicated to preparing for AI4, and in the future, AI5.
This is going to be a big one for most people – after all, we’re estimating that nearly 85% of Tesla’s current fleet, if not more, is still on hardware 3. Did Tesla manage to fit the complete AI model, with all its parameters – a 6x increase over V12.3.6 – onto Hardware 3?
If there were compromises, we’ll need to watch and see. Hopefully, some enterprising Tesla X or YouTube owners will record a test drive on v12.5.1.4 on both, a HW3 and AI4 vehicle for us to compare the differences. We’re hoping that since the official divergence of hardware hasn’t happened yet, at this point, we won’t see any differences.
Upcoming Features
Once FSD v12.5 rolls out to hardware 3 vehicles, we can look forward to the upcoming list of features, including more natural and better-planned turns, the E2N highway stack, and vision-only monitoring with sunglasses. Of course, there are a few other hotly anticipated features we’re waiting for, but which aren’t on the Upcoming Improvements list provided in the patch notes – including Park Seek and Banish Autopark, as well as vehicle-to-fleet communications and FSD understanding hand gestures.
We’re hoping to see these features come in point releases of FSD V12.5, which means they should arrive at similar times for HW3 and AI4 vehicles.
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.