Tesla took to the Hollywood stage at ‘We, Robot’ last week, and lots of interesting new information has been revealed. One of the most interesting items that many people have been wondering about is Tesla’s plan with Hardware 3.
Tesla previously mentioned that there would be a divergence between AI4 and Hardware 3, but so far, Tesla has kept Hardware 3 going strong with code optimization and model improvements. However, it is pretty evident that Hardware 3 is hitting its computing limit, as Tesla sees that AI4 has much more capability to unlock.
However, they have said they’ll do their best to continue to support the millions of vehicles on the road today running Hardware 3. Tesla’s Cybercab, on the other hand, will be running on AI5, an as-yet-unreleased hardware stack that promises to greatly improve and expand the available compute performance.
Hardware 3 Robotaxi
Lars Moravy, the Vice President of Vehicle Engineering at Tesla, spoke to attendees at We, Robot, and mentioned that Hardware 3 will be Robotaxi capable (at the 7:25 mark). That means that it will be capable of Unsupervised FSD, according to Tesla. Kim Java, a YouTuber focused on Tesla and EVs in general, posted this video featuring her speaking with both Lars, as well as Franz Von Holzhausen, the Chief Designer at Tesla.
Given Lars and Franz both seem confident in the assertion that you can remove a HW3 vehicle’s steering wheel and get it Robotaxi capable, it definitely seems that Tesla intends to continue supporting HW3 well into the future.
So, while Hardware 3 might be reaching its limits, the company's not giving up on it yet. With this, they’ve essentially confirmed that the millions of vehicles with Hardware 3 won't be obsolete anytime soon when it comes to Robotaxi and Unsupervised FSD.
Tesla is continuing to demonstrate its commitment to its customers and its vision of the future, and we’re looking forward to seeing what’s next on the list.
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.