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Say you have a convoy of autonomous vehicles traversing a road. They are vision based. You destroy a bridge they will cross, and replace the deck with somethi
by pugworthy 4y ago
Say you have a convoy of autonomous vehicles traversing a road. They are vision based. You destroy a bridge they will cross, and replace the deck with something like plywood painted to look like a road. They will probably just drive right onto it and fall.
Or you put up a "Detour" sign with a false road that leads to a dead end so they all get stuck.
As the articles says, "...straight out of Looney Tunes"
- qwerty3344 4y agowould humans not make the same mistake?
- atonse 4y agoMaybe. Maybe not. We also have intuition. Where Something just seems fishy. Not saying AI can’t handle that. But I assure you that a human would’ve identified a moving cardboard box as suspicious without being told it’s suspicious. It sounds like this AI was trained more on a whitelist “here are all the possibilities of what marines look like when moving” rather than a black list which is way harder “here are all the things that aren’t suspicious, like what should be an inanimate object changing locations”
- burnished 4y agoWhats special about intuition? Think you could rig up a similar system when your prediction confidence is low.
- woodson 4y agoPart of the problem is that the confidence for “cardboard box” was probably quite high. It’s hard to properly calibrate confidence (speaking from experience, speech recognition is often confidently wrong).
- atonse 4y agoTotally. But it seems like all these ML models are great at image recognition but not behavior recognition. What’s the state of the art with that currently?
- burnished 4y agoLast I knew "absolute, complete garbage"
- arminiusreturns 4y agoThe quantum entanglement of our brains with the world around us.
- burnished 4y agoI am having a hard time understanding what this is supposed to mean, can you be more explicit about the cause/effect here?
- arminiusreturns 4y agoI think there are strong indicators in much neuroscience research that indicate our brains are quantum entangled in a way that a cpu currently is not. I project the quantum entanglement part from the experiments such as the precognitive ones, which usually don't make that claim.
- deleted 4y ago[deleted]
- amalcon 4y agoThe Rourke Bridge in Lowell, Massachusetts basically looks like someone did that, without putting a whole lot of effort into it. On the average day, 27,000 people drive over it anyway.
- tgsovlerkhgsel 4y agoSure. But if someone wanted to destroy the cars, an easier way would be to... destroy the cars, instead of first blowing up a bridge and camouflaging the hole.
- aftbit 4y agoThat sounds way harder. You'd first need to lift a giant pile of metal to a cartoonishly high height, then somehow time it to drop on yourself when the cars are near.
- pugworthy 4y agoTrue. So if they are smart enough to fool AI, they will just remove the mid span, and have convenient weight bearing beams nearby that they put in place when they need to cross. Or if it's two lane, only fake out one side because the AI will be too clever for its own good and stay in its own lane. Or put up a sign saying "Bridge out, take temporary bridge" (which is fake). The point is, you just need to fool the vision enough to get it to attempt the task. Play to its gullibility and trust in the camera.
- robswc 4y agoYep. Destroying an autonomous fleet would be easy with a couple million $ and a missile... but it could also be done for nearly $0 with some intuition (and depending on how easy they are to fool)
- dilippkumar 4y agoUnfortunately, this will not work for autonomous driving systems that have a front facing radar or lidar. Afaik, this covers everybody except Tesla. Looney Tunes attacks on Teslas might become a real subreddit one day.
- ghiculescu 4y agoWhy wouldn’t it work for those systems?
- dilippkumar 4y agoPresumably, a plywood wall painted to look like a road to a camera will still look like a wall to the radar/lidar.