Elon Musk provided a sneak peek into “Cortex”, Tesla’s new AI training center that has been under construction for quite a while at Giga Texas.
Previously, we saw some shots of the new wing for the massive water-cooled supercomputer cluster at Giga Texas, which was being built at the southern end of the Gigafactory.
AI4 Training
Cortex appears to be the name of the supercomputer cluster, and we can assume that it will be referred to that way from now on. Cortex will primarily focus on exploring and expanding FSD’s performance envelope to include AI4, which will begin to diverge from HW3 sometime soon. Tesla hasn’t yet unlocked the full potential of AI4, as it still runs HW3 in emulation mode, but with a few extra tricks that HW3 doesn’t have access to. These are mostly hardware compiler changes, but they make a significant difference in the speed of processing the AI model.
Tesla intends to continue supporting HW3, but it's already apparent that the FSD model for HW3 is smaller than the model for AI4. However, Ashok Elluswamy, Tesla’s Autopilot program director, expects performance to be similar for the most part.
One other thing that Cortex will likely be tackling is not just FSD in cars – but FSD in Optimus. Optimus uses the same principal technology behind FSD for movement, as well as understanding and learning tasks, so we can expect to see plenty of improvements as Tesla is now getting Cortex online.
Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5
What’s most interesting is that this new supercomputer cluster isn’t Tesla’s Dojo Supercomputers. Instead, this Cortex cluster is instead based on Nvidia’s H100 GPUs. Dojo was supposed to be Tesla’s in-house designed and specialized AI GPUs, meant to focus on optimizing FSD.
Dojo isn’t dead – but delayed from the sounds of it. We’re excited to see where Cortex takes Tesla in the future, and when Dojo shows up to join the party.
For the first time in quite a while, Tesla has increased the price of one of its vehicle offerings. The Model S Long Range and the Model S Plaid have both received a hefty price increase. However, not all is bad - as Tesla also added a new benefit for buyers.
Price Increase
The price increase for the Model S is $5,000 - currently only in the United States. This price increase will likely impact other markets, including Canada, in the coming days.
The Model S Long Range now starts at $79,990, while the Model S Plaid now starts at $94,990. The Model S and Model X now have the same starting price. Interestingly, that’s also the same pricing point for the Cybertruck AWD and Cyberbeast Trimotor non-Foundation Series.
The vehicle configuration does not appear to have changed, so the new pricing is simply an increase rather than the addition or removal of features. Tesla previously cut the price of the Model S and Model X by 15% in 2023, so this could simply be an adjustment to ensure that the vehicle pricing stays in line with inflation and other factors.
Free Lifetime Supercharging
For those on the fence about ordering a Model S, Tesla has brought back Free Lifetime Supercharging when you order a new Model S on or after December 13, 2024. As always, Free Lifetime Supercharging is restricted to the buyer’s Tesla account and to that specific vehicle. It cannot be transferred to another vehicle or another owner after ownership transfer. It’s worth noting, that it also doesn’t exclude the owner from receiving Supercharger idle fees or congestion fees. There is currently no end date for this promotion.
There are currently no changes to the Model X, neither a price increase nor the addition of Lifetime Superchargering. However, when Tesla makes changes to one of their premium vehicles, it usually affects the other one as well. So be on the lookout for potential changes to the Model X offering in the coming days.
We’ve seen Tesla value Lifetime Supercharging at $5,000, so this falls in line with the price increase we’re seeing. It’s possible that Tesla will begin to bring back Lifetime Supercharging as a perk for buying into their more premium Model S and Model X cars, or this could be another temporary promotion to get buyers who are on the fence to go ahead and make their purchase while this promotion lasts.
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.
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