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AI/neural nets are good at detecting patterns, but only marginally so. Humans have such incredible pattern recognition that we have built-in fear mechanics for

AI/neural nets are good at detecting patterns, but only marginally so. Humans have such incredible pattern recognition that we have built-in fear mechanics for when things are _not_ a pattern we recognize. What percentage of the time do you experience fear when performing a task such as driving? Think about it - that's the margin for error that humans have in pattern recognition for that task.

m_mueller 6y ago
You're raising an interesting point here. Humans pattern match everything (and integrate it into a world model). When something out of the ordinary appears, attention is brought to it immediately. By comparison, today's AIs just match what they can, leaving everything else out. I don't think that FSD can happen as long as that's the case.
- modo_mario 6y ago
  I think a good rule to make is that to be fully selfreliant an AI would have to recognize random adjustments that are intentionally wrong or notably confusing for what they are or rather aren't. I drove to work yesterday and a driver driving over the freshly painted lines to avoid a parked truck had basically caused a swerving lighter set of the lines in the middle of the road to appear. Similarly in my country at construction sites where the road is redirected for a while the new lines are often just in a different colour and the old ones remain. Sometimes they aren't and i've gotten confused at least once. But what if it was intentional or more pronounced? Perhaps we really should paint ourselves a looney tunes-esque scenario. The kind where our hero paints some lines towards and a fake tunnel on a wall. Except instead of some by radar easily recognised wall it should be some other danger. Also. If I put a cardboard cutout of a cartoon character next to or on a road will it cause these cars to slow down? Will it take a risk to swerve if the cutout appeared around a corner?
eptcyka 6y ago
I think the recognition performance is irrelevant, the failure mode of a model not knowing when there's something it can't recognize is the issue. Most clssifiers will just fail silently and let the toy car drive into a trailer.
- slimsag 6y ago
  Your argument implies that "I don't know what is in front of me" can just be used as a signal to "stop the car", but that still isn't OK (slamming on the breaks on a freeway because a trailer has someone's face on the back of it, for example) Recognition performance matters.

m_mueller 6y ago

You're raising an interesting point here. Humans pattern match everything (and integrate it into a world model). When something out of the ordinary appears, attention is brought to it immediately. By comparison, today's AIs just match what they can, leaving everything else out. I don't think that FSD can happen as long as that's the case.

modo_mario 6y ago
I think a good rule to make is that to be fully selfreliant an AI would have to recognize random adjustments that are intentionally wrong or notably confusing for what they are or rather aren't. I drove to work yesterday and a driver driving over the freshly painted lines to avoid a parked truck had basically caused a swerving lighter set of the lines in the middle of the road to appear. Similarly in my country at construction sites where the road is redirected for a while the new lines are often just in a different colour and the old ones remain. Sometimes they aren't and i've gotten confused at least once. But what if it was intentional or more pronounced? Perhaps we really should paint ourselves a looney tunes-esque scenario. The kind where our hero paints some lines towards and a fake tunnel on a wall. Except instead of some by radar easily recognised wall it should be some other danger. Also. If I put a cardboard cutout of a cartoon character next to or on a road will it cause these cars to slow down? Will it take a risk to swerve if the cutout appeared around a corner?

eptcyka 6y ago

I think the recognition performance is irrelevant, the failure mode of a model not knowing when there's something it can't recognize is the issue. Most clssifiers will just fail silently and let the toy car drive into a trailer.

slimsag 6y ago
Your argument implies that "I don't know what is in front of me" can just be used as a signal to "stop the car", but that still isn't OK (slamming on the breaks on a freeway because a trailer has someone's face on the back of it, for example) Recognition performance matters.