Earlier quoted context omitted.
> here aren't infinitely many scenarios to consider, but even if that's a figure of speech, there aren't thousands or even hundreds. There are a very, very large number of scenarios. Every single possible different state the robot can perceive, and every possible near future they can be projected to. Ten kids is not 10 path scenarios. Every kid could do a vast number of different things, and each additional kid raise…
> Ten kids is not 10 path scenarios. Every kid could do a vast number of different things, and each additional kid raises the number of joint states to another power. This is the difference between computing and humans. The car will attempt to compute all possible path scenarios because it has no instict, and it might not be possible to compute everything in real time so it might fail. But the human will easily deal…
And current practical approaches are mostly end to end (or nearly) ML systems that do not compute a lot of alternative paths, and they work in approximately constant time independent of the scenario.
You strongly imply that computers can’t drive, but you could have written that in a Waymo.