Tesla released their latest FSD Beta on the 25th. Beta testers have now had a few days with the latest beta and we take a look at how it compares to previous iterations. I am not (yet) a beta tester. Ever since I pushed the button three days ago, I had only one drive. Then I got sick. Today I am in the hospital, and I may need an operation.
@BLKMDL3/Twitter
Dirty Tesla (he doesn't wash his car very often, and he lives on a dirt road) is a bit disappointed in 10.1. It's still too hesitant at stop signs, and other drivers take advantage of the Tesla's timidity. And it can't read the No Right Turn On Red signs.
Tesla Joy gives a good description of the Tesla insurance algorithm and how to convince it that you are an excellent driver. Just keeping the car on Autopilot all the time won't do it.
AI DRIVR tried to get FSD 10.1 to shift into reverse. Elon said the feature would be included in 10.1, but when shifting to reverse was the right thing to do, 10.1 didn't do it.
HyperChange lives in Seattle. He's been testing FSD Beta against streets where the rectangular concrete columns hold up the monorail. It has not done well until now. FSD 10.1 maneuvered well in the test.
Rocco Speranza took a drive with 10.1. It did well until near the end of the drive when 10.1 tried to go around some cars that were stopped in traffic. Going around would have been inappropriate so Rocco had to intervene.
At the very end of the drive, a car heading in the opposite direction was stopped a bit over the center line, and it appeared to Rocco that 10.1 didn't realize that the other car was over the center line. Rocco took over to avoid the accident. This was an example of the warning that Tesla gives to the beta testers, that the car might do the wrong thing at a crucial time, and that the human must be alert with hands on the wheel and able to take control of the car at any instant.
Tesla is making steady progress in the race to autonomous driving, but there's still work to be done. The single stack for highway and city driving didn't make it into this beta release as expected. Tesla is looking to release FSD Beta 10.2 on October 6th.
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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