The "Request Full-Self Driving Beta" button has now become available in Canada in the latest software update, version 2022.4.5.4. If you decide to opt-in, you will be enrolled in the FSD Beta queue and a “Safety Score” will become available on your mobile app.
Tesla's Safety Score launches in Canada
If the FSD rollout in Canada follows the same process as the US, you will have to achieve a perfect 100 Safety Score for a week before being permitted to download the software.
In the US, first entries into the beta required a score of 100, then 99 and eventually 98. Few owners with a score below 98 got in and owners who achieved even a 100 score later on still haven’t been included. Enrollment for FSD can be expected to follow the same process in Canada.
Tesla calculates the Safety Score by assessing your risk across five major categories. The five categories in order of weighted average score:
1. Forced Autopilot Disengagements
2. Hard Braking
3. Aggressive Turning
4. Unsafe Following
5. Forward Collision Warnings
In the mobile app, users can see the Safety Score breakdown for each category and compare it to the Tesla fleet median. Users can also see how a specific trip affected the score and pinpoint instances of unsafe driving. Tesla will show you which driver profile was used for an individual trip which is a useful feature for monitoring how the vehicle was handled by new drivers or when using a valet service or car rental service.
Your Safety Score in the Tesla app
If you find yourself with a score below 100, you can improve it in one of two ways. You can achieve higher scores in future drives so that your average score is raised, or you can wait to have your low scores fall off after 30 days.
You can increase your overall score to 100 by avoiding penalties in the previously listed categories. Here are 5 ways to get the 100 Safety Score required for Tesla FSD beta:
1. The primary category that affects the safety score is Forced Autopilot Disengagement. This happens when the vehicle warns the driver to apply resistance three times without driver intervention. They will also occur if you exceed 90 MPH for vehicles with radar or 80 MPH for vision-only vehicles, while on Autopilot. This can be easily avoided by applying resistance when required.
2. If Hard Braking is bringing down your score you should brake gradually to avoid any penalties. If you need to slow down quickly, it may be useful to put the vehicle into Autopilot to let Autopilot slow down for you. This is the toughest category to master and you will need to slow down more gradually than you’re likely used to.
3. When it comes to aggressive turning, you'll want to make sure you're not going too fast around turns. The tighter the turn, the slower you must go to avoid penalties.
4. If Unsafe Following brings down your score, you can try to use Autopilot more often and make sure you’re leaving more of a distance between your vehicle and the car in front of you.
5. Finally, we have Forward Collision Warnings. This warning occurs when your speed is too high relative to the distance you have to the object directly in front of you. If you find that you get a lot of Forward Collision Warnings, you can set your alert level to 'Early'. This way you'll be made aware of the potential collision before getting penalized for it.
The Request FSD Beta button
Another potential way of improving your score is to not count your current drive toward your Safety Score if you think you’ll be penalized. If you perform a soft reset before you park your car, the drive will not be registered and will not count toward your overall Safety Score. This is expected to be patched in a future update.
Only the last 30 days of your driving history are counted toward your Safety Score. You can track your Safety Score progress using our Tesla Safety Score Calculator where you’ll enter your target score and it’ll determine how many more miles you'll need to drive to reach (with a perfect score) in order to reach your target.
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.