Tesla’s Latest FSD Beta Doesn’t Seem Ready For Public Use, Which Raises Big Questions

What I like about this test is that it presents a very good mix of everyday, normal driving situations in an environment with a good mix of traffic density, road complexity, lighting conditions, road markings, and more. In short, reality, the same sort of entropy-heavy reality all of us live in and where we expect our machines to work.

There’s a lot that FSD does that’s impressive when you consider that this is an inert mass of steel and rubber and silicon that’s effectively driving on its own through a crowded city. We’ve come a long way since Stanley the Toureg finished the DARPA Challenge back in 2006, and there’s so much to be impressed by.

At the same time, this FSD beta proves to be a pretty shitty driver, at least in this extensive test session.

Anyone arguing that FSD in its latest state drives better than a human is either delusional, high from the fumes of their own raw ardor for Elon Musk or needs to find better-driving humans to hang out with.

FSD drives in a confusing, indecisive way, making all kinds of peculiar snap decisions and generally being hard to read and predict to other drivers around them. Which is a real problem.

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Drivers expect a certain baseline of behaviors and reactions from the cars around them. That means there’s not much that’s more dangerous to surrounding traffic than an unpredictable driver, which this machine very much is.

And that’s when it’s driving at least somewhat legally; there are several occasions in this video where traffic laws were actually broken, including two instances of the car attempting to drive the wrong way down a street and into oncoming traffic.

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Nope, not great.

In the comments, many people have criticized Kyle, the driver/supervisor, for allowing the car to make terrible driving decisions instead of intervening. The reasoning for this ranges from simple Tesla-fan-rage to the need for disengagements to help the system learn, to concern that by not correcting the mistakes, Kyle is potentially putting people in danger.

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They’re also noting that the software is very clearly unfinished and in a beta state, which, is pretty clearly true as well.

These are all reasonable points. Well, the people just knee-jerk shielding Elon’s Works from any scrutiny aren’t reasonable, but the other points are, and they bring up bigger issues.

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Specifically, there’s the fundamental question about whether or not it makes sense to test an unfinished self-driving system on public roads, surrounded by people, in or out of other vehicles, that did not agree to participate in any sort of beta testing of any kind.

You could argue that a student driver is a human equivalent of beta testing our brain’s driving software, though when this is done in any official capacity, there’s a professional driving instructor in the car, sometimes with an auxiliary brake pedal, and the car is often marked with a big STUDENT DRIVER warning.

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Image: JDT/Tesla/YouTUbe

I’ve proposed the idea of some kind of warning lamp for cars under machine control, and I still think that’s not a bad idea, especially during the transition era we find ourselves in.

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Of course, in many states, you can teach your kid to drive on your own without any special permits. That context is quite similar to FSD beta drivers since they don’t have any special training beyond a regular driver’s license (and no, Tesla’s silly Safety Score does not count as special training).

In both cases, you’re dealing with an unsure driver who may not make good decisions, and you may need to take over at a moment’s notice. On an FSD-equipped Tesla (or really any L2-equipped car), taking over should be easy, in that your hands and other limbs should be in position on the car’s controls, ready to take over.

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In the case of driving with a kid, this is less easy, though still possible. I know because I was once teaching a girlfriend of the time how to drive and had to take control of a manual old Beetle from the passenger seat. You can do it, but I don’t recommend it.

Of course, when you’re teaching an uncertain human, you’re always very, very aware of the situation and nothing about it would give you a sense of false confidence that could allow your attention to waver. This is a huge problem with Level 2 semi-automated systems, though, and one I’ve discussed at length before.

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As far as whether or not the FSB beta needs driver intervention to “learn” about all the dumb things it did wrong, I’m not entirely sure this is true. Tesla has mentioned the ability to learn in “shadow mode” which would eliminate the need for FSD to be active to learn driving behaviors by example.

As far as Kyle’s willingness to let FSD beta make its bad decisions, sure, there are safety risks, but it’s also valuable to see what it does to give an accurate sense of just what the system is capable of. He always stepped in before things got too bad, but I absolutely get that this in no way represents safe driving.

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At the same time, showing where the system fails helps users of FSD have a better sense of the capabilities of what they’re using so they can attempt to understand how vigilant they must be.

This is all really tricky, and I’m not sure yet of the best practice solution here.

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This also brings up the question of whether Tesla’s goals make sense in regard to what’s known as their Operational Design Domain (ODD), which is just a fancy way of saying “where should I use this?”

Tesla has no restrictions on their ODD, as referenced in this tweet:

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This raises a really good point: should Tesla define some sort of ODD?

I get that their end goal is Level 5 full, anywhere, anytime autonomy, a goal that I think is kind of absurd. Full Level 5 is decades and decades away. If Tesla freaks are going to accuse me of literally having blood on my hands for allegedly delaying, somehow, the progress of autonomous driving, then you’d think the smartest move would be to restrict the ODD to areas where the system is known to work better (highways, etc) to allow for more automated deployment sooner.

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That would make the goal more Level 4 than 5, but the result would be, hopefully, safer automated vehicle operation, and, eventually, safer driving for everyone.

Trying to make an automated vehicle work everywhere in any condition is an absolutely monumental task, and there’s still so so much work to do. Level 5 systems are probably decades away, at best. Restricted ODD systems may be able to be deployed much sooner, and maybe Tesla should be considering doing that, just like many other AV companies (Waymo, Argo, and so on) are doing.

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We’re still in a very early transition period on this path to autonomy, however that turns out. Videos like these, that show real-world behavior of such systems, problems and all, are very valuable, even if we’re still not sure on the ethics of making them.

All I know is that now is the time to question everything, so don’t get bullied by anyone.

Daimler and Waymo partner on self-driving trucks

Daimler, parent to Mercedes-Benz and one of the biggest truck manufacturers in the world, on Tuesday announced a partnership with Alphabet Inc.-owned self-driving technology startup Waymo.

The partnership will see Daimler integrate Waymo’s self-driving system, known as the Waymo Driver, into its Freightliner Cascadia Class 8 semi-trailer truck. The Waymo Driver ranks at Level 4 on the SAE scale of self-driving capability, as it can function entirely on its own but only within set conditions. Level 5 is the final goal, which would mean a self-driving system as capable as a human.

Daimler said it plans to make the Waymo Driver-equipped Cascadia available to customers in the United States in the coming years. Daimler and Waymo are also exploring the potential to offer it in other markets in the near future.

Daimler Trucks and Waymo logos

Daimler Trucks and Waymo logos

Daimler for years has been developing its own self-driving system, both for passenger and commercial vehicles. The German auto giant has already conducted trials of self-driving trucks and in 2019 acquired Blacksburg, Virginia-based Torc Robotics which is also developing a self-driving system for commercial vehicles.

Martin Daum, head of Daimler’s bus and truck division, said the partnership with Waymo is to help accelerate the arrival of self-driving trucks and that Daimler will continue to develop its own technology separately. In other words, Daimler is hedging its bets.

“This (Waymo) partnership complements Daimler Trucks’ dual-strategy approach, of working with two strong partners to deliver autonomous L4 solutions that are seamlessly integrated with our best-in class trucks, to our customers,” he said.

Martin Daum

Martin Daum

The Cascadia already has some semi-autonomous driver-assist features. These features, grouped under the heading Detroit Assurance 5.0 with Active Lane Assist, are able to independently brake, steer, and accelerate at all speed ranges, though the driver has to monitor the vehicle at all times.

In the near future, Level 4 self-driving systems will allow the trucks to operate around the clock, including at night during low-traffic times. Truck drivers will still be needed. Self-driving trucks will be enabled by radar, cameras, and lidar, just like cars, but their demands will be greater. Their mass will need to be taken into account, as will the articulation of their trailers, and their different driving characteristics. This means their self-driving capability will likely be limited to simpler highway driving situations for years or even decades to come.

Daimler isn’t the only company researching self-driving trucks. Volvo Trucks has already shown off its Vera autonomous semi concept and Ford has also debuted an autonomous semi concept that showcased its long-term vision for the vehicle type. Volkswagen Group’s Traton truck division is also working with self-driving technology startup Argo AI on self-driving trucks.