But mechanically that’s just moving the confidence threshold to 100% which is not achievable as far as I can tell. It quickly reduces to “all objects are pedestrians” which halts traffic.

According to some cursory research (read: Google), obstacle avoidance uses ML to identify objects, and uses those identities to predict their behavior. That stage leaves room for the same unpredictability, doesn’t it? Say you only have 51% confidence that a “thing” is a pedestrian walking a bike, 49% that it’s a bike on the move. The former has right of way and the latter doesn’t. Or even 70/30. 90/10.

There’s some level where you have to set the confidence threshold to choose a course of action and you’ll be subject to some ML-derived unpredictability as confidence fluctuates around it… right?

As a developer for 15 years: there’s no reason to put up with any bullshit in this field. They need us more than we need them. This field is mercenary as fuck.

I’ve switched jobs on average every 2 years, except for one that I went back to for a second stint and one that was just a great place to work (remote). My salary has quadrupled in those years and I’ve learned never to stick around out of fear that there isn’t something better: there always is, and if the next job isn’t the one, get another one after that (and probably another raise).