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I kind of giggle because the jittery-ness of some of the graphics makes it like I'm watching some robot version of Home Movies or Dr Katz. I bring that up beca

I kind of giggle because the jittery-ness of some of the graphics makes it like I'm watching some robot version of Home Movies or Dr Katz. I bring that up because my hypothetical personal questions working on a system like this is 'smooth' decision making. Objects, lines, are jittery and falling in and out of recognition, but the actual control inputs to the car are smooth. I know, good conditions and all that, but I always find it quite remarkable watching any sort of automaton make relatively fuzzy decisions. I'm very curious to know more about how this system 'thinks' about the things it 'sees'.

FatalLogic 7y ago
The raw sensory inputs to a human brain must also be jittery. Eyes apparently see highest definition detail only in a tiny area of the visual field, for example. The brain stitches it together, interpolates, tags features, and guesses. The preprocessing miraculously creates the impression of a big clear image out of a dirty data feed from two jello cameras that are swiveling around all the time. There's a lot a smoothing going on. Imagine if you could see the raw input from an eye - it would be a big field of view, but mostly blurry, mostly not in full color, with a blind spot hole near the center, and the whole image jittering around violently. One trait of practical real-world intelligence is ignoring 99.9% of everything. It usually works.
- 01100011 7y ago
  There's smoothing, but maybe more importantly there is an expectation of continuity and a bias towards likely interpretations. The brain is trying to detect what it already thinks should be there, and not starting from scratch every millisecond. I'm not sure if anyone is doing that with neural nets, but I think we'll keep failing until we do that.
  - eru 7y ago
    Yes, mostly. Your brain also cheats and adjusts your memory retrospectively to a certain degree.

FatalLogic 7y ago

The raw sensory inputs to a human brain must also be jittery. Eyes apparently see highest definition detail only in a tiny area of the visual field, for example. The brain stitches it together, interpolates, tags features, and guesses. The preprocessing miraculously creates the impression of a big clear image out of a dirty data feed from two jello cameras that are swiveling around all the time. There's a lot a smoothing going on. Imagine if you could see the raw input from an eye - it would be a big field of view, but mostly blurry, mostly not in full color, with a blind spot hole near the center, and the whole image jittering around violently. One trait of practical real-world intelligence is ignoring 99.9% of everything. It usually works.

01100011 7y ago
There's smoothing, but maybe more importantly there is an expectation of continuity and a bias towards likely interpretations. The brain is trying to detect what it already thinks should be there, and not starting from scratch every millisecond. I'm not sure if anyone is doing that with neural nets, but I think we'll keep failing until we do that.
- eru 7y ago
  Yes, mostly. Your brain also cheats and adjusts your memory retrospectively to a certain degree.