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I saw a trash bag on the highway yesterday. It was full but looked light, as if it were stuffed with pillows or plastic bags. I could have safely hit it with my

I saw a trash bag on the highway yesterday. It was full but looked light, as if it were stuffed with pillows or plastic bags. I could have safely hit it with my car (I didn't) whereas other objects that size I wouldn't. This decision making happens often like with pieces of paper or plastic bags. I thought about how much contextual knowledge it takes for us to make these everyday decisions.

secondaryacct 5y ago
There s however one thing you cant do but an ML solution probably could: share your contextual experience at the instinct level with every driver. Say you're right and an ML model cannot know intrinsically the trash bag is safer to hit than to avoid, however, if a few car hit or avoid those for a little while they can learn of the consequence of both actions and then share them back to every other car. I suppose as long as it can properly learn, it'll get there (and, more valuable: STAY there) eventually. The brain is an efficient machine that can work in highly complex network, but I dont know if the fact every brain is born mostly blank of experience is a good or bad thing to build much more complex specialized behaviour like driving with 0 death in an entire nation.
- jazzyjackson 5y ago
  The leg up that I gave over a super-networked AI: I’ve seen a trash bag before. If the cars have to hit every item they see to find out what happens then we’re going to be here a while!
- vagrantJin 5y ago
  > share your contextual experience at the instinct level with every driver. > Say you're right and an ML model cannot know intrinsically the trash bag is safer to hit than to avoid, however, if a few car hit or avoid those for a little while they can learn of the consequence of both actions and then share them back to every other car. He is definitely, 100% right. All this talk of networked AI/ML is a particularly insidious form of evangelism. Because it doesnt answer the questions that need asking.
zarzavat 5y ago
Perhaps it would be easier to build tougher cars rather than better ML.
rdtsc 5y ago
There are people who will go out of their way to mess with driverless cars and I think the car needs to handle that somehow. Heck, I’ve seen kids mess with real cars. Like the bag you mentioned, some idiots were taking cardboard boxes, filling them with rocks and putting them in the street waiting for the drivers to think “oh just it’s an empty cardboard box, not gonna slow down for it”. Somehow I can see an AI driven car, especially without a person inside, becoming a target of bullying like that.

secondaryacct 5y ago

There s however one thing you cant do but an ML solution probably could: share your contextual experience at the instinct level with every driver. Say you're right and an ML model cannot know intrinsically the trash bag is safer to hit than to avoid, however, if a few car hit or avoid those for a little while they can learn of the consequence of both actions and then share them back to every other car. I suppose as long as it can properly learn, it'll get there (and, more valuable: STAY there) eventually. The brain is an efficient machine that can work in highly complex network, but I dont know if the fact every brain is born mostly blank of experience is a good or bad thing to build much more complex specialized behaviour like driving with 0 death in an entire nation.

jazzyjackson 5y ago
The leg up that I gave over a super-networked AI: I’ve seen a trash bag before. If the cars have to hit every item they see to find out what happens then we’re going to be here a while!
vagrantJin 5y ago
> share your contextual experience at the instinct level with every driver. > Say you're right and an ML model cannot know intrinsically the trash bag is safer to hit than to avoid, however, if a few car hit or avoid those for a little while they can learn of the consequence of both actions and then share them back to every other car. He is definitely, 100% right. All this talk of networked AI/ML is a particularly insidious form of evangelism. Because it doesnt answer the questions that need asking.

zarzavat 5y ago

Perhaps it would be easier to build tougher cars rather than better ML.

rdtsc 5y ago

There are people who will go out of their way to mess with driverless cars and I think the car needs to handle that somehow. Heck, I’ve seen kids mess with real cars. Like the bag you mentioned, some idiots were taking cardboard boxes, filling them with rocks and putting them in the street waiting for the drivers to think “oh just it’s an empty cardboard box, not gonna slow down for it”. Somehow I can see an AI driven car, especially without a person inside, becoming a target of bullying like that.