did you read the article?

that is not related to the tesla issue at all. Furthermore, this article just described bad decision making with regards to traffic cones, however was not dangerous. It was aware of drivable surfaces and direction of traffic... because it has a map

Do you see how these are different situations?

1. Telsa swerving into an oncoming lane 2. Waymo coming to a controlled stop in front of a traffic cone, then thinks it is blocked and needs help

> Waymo coming to a controlled stop in front of a traffic cone

And then driving off again, and then blocking traffic, and then evading Waymo's roadside assistance, etc.

Do you see how these aren't different situations?

again, nothing high danger. That is not a neural net, it could have easily been programmed to not try and maneuver around and just stay stopped, so sounds like a behavior that needs some additional improvement. It didn't lose sight of the cones. It was an issue with generating an appropriate path around the cones. Notice how it didn't hit the cones or anything else

That is fundamentally different than trusting a neural net to tell you where the lanes are, where the objects are, and what kind of objects they are.

you do not drive into an oncoming lane if you have a hd map. you do not drive into a concrete wall if you have lidar.

> again, nothing high danger.

Not having control of the car is high danger. Even when they recognized it needed rescuing they still didn't have control of it.

that sounds like a bug(albeit severe), but that is in no way descriptive of current technology or some sort of cap on performance