Case-in-point look how long it’s taken for self-driving cars to mature. And many would argue they still have a ways to go until they’re truly reliable.
I think this highlights how we still haven’t cracked intelligence. Many of these issues come from the model’s very limited ability to adapt on the fly.
If you think about it every little action we take is a micro learning opportunity. A small-scale scientific process of trying something and seeing the result. Current AI models can’t really do that.
Even maps. I was driving to Chicago last week and Apple Maps insisted I take the exit for Danville. Fortunately I knew better, I only had the map on in case an accident might require rerouting. I find it hard to drive with maps navigation because they are usually correct, but wrong often enough that I don't fully trust them. So I have to double check everything they tell me with the reality in front of me, and that takes more mental effort than it ideally should.
> double check everything they tell me with the reality in front of me
I believe that's a famous Army Ranger expression: "the map is not the terrain" (I tried to find an attribution for it but it seems it comes in "the map is not the territory" flavors, too)
I think this highlights how we still haven’t cracked intelligence. Many of these issues come from the model’s very limited ability to adapt on the fly.
If you think about it every little action we take is a micro learning opportunity. A small-scale scientific process of trying something and seeing the result. Current AI models can’t really do that.