In the rapidly advancing realm of artificial intelligence, Elon Musk is embroiled in a unique talent battle as Tesla and his latest enterprise, xAI, vie for the industry's leading minds. The shift of Tesla's computer vision chief, Ethan Knight, to xAI, illustrates a wider movement of key personnel between major tech players. This highlights the intense competition for AI's brightest stars.
While initially poised to join OpenAI, Knight's pivot to xAI adds a twist to the narrative, with Musk downplaying the notion of poaching yet acknowledging the fierce rivalry for top talent. To counter this, Tesla is introducing even more compelling incentives to retain its pioneering engineers."
In response to hundreds of queries and comments on the situation, Musk downplayed the impact of Knight's departure, emphasizing Tesla's robust team of over 200 engineers dedicated to AI and autonomy. Many comments on X suggest Musk is poaching from Tesla as a way to force the company to give him more compensation and voting power. “Musk responded: I (obviously) don’t need (the) money personally, but am concerned about not having voting power that to influence Tesla to do the right thing.” He currently has about 13% of the company but wants 25% control.
Tesla's Countermeasures
Musk himself noted that Knight's decision was influenced by competitive offers from both xAI and OpenAI, hinting at the fierce recruitment landscape Tesla is navigating. Musk's comments highlight a broader narrative, portraying Tesla's ongoing acceleration in autonomy advancements despite the competitive pressures. He acknowledges the AI talent war as unprecedented in intensity, underlining the strategic importance of AI talent for the future of both Tesla and the broader tech industry.
Tesla is increasing comp (contingent on progress milestones) of our AI engineering team
Musk revealed Tesla's strategy to counter-recruitment efforts. The company is not just matching the lucrative offers from rivals but also innovating its compensation structure. By tying compensation increases to progress milestones, Tesla aims to foster a culture of achievement and progress.
The Underlying Talent War Dynamics
The movement of high-profile engineers like Ethan Knight highlights a deeper competition for AI supremacy. With xAI successfully enticing several Tesla engineers, concerns arise over potential conflicts of interest and the implications for Tesla's Full Self-Driving (FSD) technology. The talent war is not just about compensation but also about the direction of AI development. It reflects a broader industry trend where the demand for AI expertise far outstrips supply, leading to aggressive recruitment strategies and significant shifts in talent.
Tesla's ability to continue its pace of innovation in AI and autonomy will depend on its success in navigating this talent war, balancing the need to retain key personnel with the drive to push the boundaries of technology. As the battle for AI talent rages on, Tesla has to balance stability and the pursuit of groundbreaking advancements with its strategies and responses, shaping the future of autonomous driving.
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Tesla’s been on a roll with Supercharger improvements lately, from the 325kW charging update for the Cybertruck, to 500kW with V4 Superchargers coming next year. While those improvements have been limited to the Cybertruck, Tesla didn’t put all their focus on their new flagship vehicle, but looked at their more affordable vehicles as well.
LFP Battery Heating
Tesla’s Superchargers can now heat LFP Batteries - those that are in the Model 3 and Model Y Rear Wheel Drive variants. This applies to Long Range and Standard Range models, which saw a limited run. This is another update included as part of the 2024 Tesla Holiday Update - which really arrived with a lot of unannounced new features and capabilities.
The change is pretty interesting - Superchargers of the V3 and V4 variety can now pre-heat batteries for Model 3 and Model Y vehicles equipped with LFP battery packs. That means those vehicles are able to get back on the road faster when it's extremely cold. Of course, Tesla still advises you to precondition before you arrive, saving drivers time and money.
Max de Zegher, Tesla’s Director of Charging, also commented on the new feature. Essentially, Tesla is inducing an AC (alternating) ripple current through the battery to warm it up. Keep in mind that Superchargers are DC charging. That means it is possible to get a cold-soaked LFP vehicle on the road 4x faster than before, assuming that it didn’t precondition at all and that it is in the worst-case scenario (below 0ºF).
In essence, Tesla is using some engineering magic to turn the circuits inside the LFP battery into an electric heater - and powering that heater through the Supercharger. An AC ripple current is a small oscillation in the DC charging current that generates heat through electrical resistance, warming up the battery. Those ripples are a byproduct of converting AC to DC and back - so Tesla is using the onboard charger to induce those ripples to warm up the battery. Definitely an innovative technique that’s really only possible with the versatility of the NACS connector.
We’re hoping Tesla can implement this across their full lineup of vehicles, but we’ll have to wait and see how it is trialed across LFP vehicles first and if it is even possible on vehicles with 2170 or 4680 battery packs.
Tesla launched two FSD updates simultaneously on Saturday night, and what’s most interesting is that they arrived on the same software version. We’ll dig into that a little later, but for now, there’s good news for everyone. For Hardware 3 owners, FSD V12.6.1 is launching to all vehicles, including the Model 3 and Model Y. For AI4 owners, FSD V13.2.4 is launching, starting with the Cybertruck.
FSD V13.2.4
A new V13 build is now rolling out to the Cybertruck and is expected to arrive for the rest of the AI4 fleet soon. However, this build seems to be focused on bug fixes. There are no changes to the release notes for the Cybertruck with this release, and it’s unlikely to feature any changes when it arrives on other vehicles.
FSD V12.6.1 builds upon V12.6, which is the latest FSD version for HW3 vehicles. While FSD V12.6 was only released for the redesigned Model S and Model X with HW3, FSD V12.6.1 is adding support for the Model 3 and Model Y.
While this is only a bug-fix release for users coming from FSD V12.6, it includes massive improvements for anyone coming from an older FSD version. Two of the biggest changes are the new end-to-end highway stack that now utilizes FSD V12 for highway driving and a redesigned controller that allows FSD to drive “V13” smooth.
It also adds speed profiles, earlier lane changes, and more. You can read our in-depth look at all the changes in FSD V12.6.
Same Update, Multiple FSD Builds
What’s interesting about this software version is that it “includes" two FSD updates, V12.6.1 for HW3 and V13.2.4 for HW4 vehicles. While this is interesting, it’s less special when you understand what’s happening under the hood.
The vehicle’s firmware and Autopilot firmware are actually completely separate. While a vehicle downloading a firmware update may look like a singular process, it’s actually performing several functions during this period. First, it downloads the vehicle’s firmware. Upon unpacking the update, it’s instructed which Autopilot/FSD firmware should be downloaded.
While the FSD firmware is separate, the vehicle can’t download any FSD update. The FSD version is hard-coded in the vehicle’s firmware that was just downloaded. This helps Tesla keep the infotainment and Autopilot firmware tightly coupled, leading to fewer issues.
What we’re seeing here is that HW3 vehicles are being told to download one FSD version, while HW4 vehicles are being told to download a different version.
While this is the first time Tesla has had two FSD versions tied to the same vehicle software version, the process hasn’t actually changed, and what we’re seeing won’t lead to faster FSD updates or the ability to download FSD separately. What we’re seeing is the direct result of the divergence of HW3 and HW4.
While HW3/4 remained basically on the same FSD version until recently, it is now necessary to deploy different versions for the two platforms. We expect this to be the norm going forward, where HW3 will be on a much different version of FSD than HW4. While each update may not include two different FSD versions going forward, we may see it occasionally, depending on which features Autopilot is dependent on.
Thanks to Greentheonly for helping us understand what happened with this release and for the insight into Tesla’s processes.
