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I don't think anyone doubts it can react more quickly. The real question is whether it can react more correctly. I think the answer is "soon", for what that's

by mokus 11y ago

I don't think anyone doubts it can react more quickly. The real question is whether it can react more correctly. I think the answer is "soon", for what that's worth, but I also think that until the answer is an unmitigated "yes" it's a valid criticism. (edited for tone)

kbenson 11y ago
Well, whether it acts more correctly becomes a moot point when it acts correct most of the time, then it's about what acts more safely. There are advantages to having a system that's not allowed to be lax when it comes to safety rules.
kevin_thibedeau 11y ago
The key is that a human can anticipate a dangerous situation and take mitigating action before a quick reaction is necessary. AI still has far to go before that sort of nuanced behavior can be replicated. Until then self driving cars will be like teenagers learning to drive. Sure they can get themselves from point A to B but I don't want to be near them while they do it.
- nkozyra 11y ago
  Disagree entirely. Anticipation is just a function of memory - of having enough training data that you can glean potential outcomes and their probabilities through the attributes that surround them. That's used in AI all the time already.
  - refurb 11y ago
    You're drivng down a crowded highway and you see an obstacle. You're likely to get rear ended if you hit your brakes and you can't change lanes. However you recognize it's just an empty card oard box. You drive through it with no issues. Can you train a computer to do that?
    - yongjik 11y ago
      ...and it turns out the "empty" cardboard box is half filled with metal pipes, which your human eye had no way of knowing in the split-second before your car collides into it in 65 mph. Your car screeches, loses control, and swerves into the neighboring lane. But luckily a following self-driving car already detected the presence of an obstacle using radar. It detects your car maintaining speed. Within several milliseconds it evaluates chance of collision as VERY HIGH, starts evasive maneuver, scratching your car at a speed which is still uncomfortably high but not likely to cause a fatal accident. Several weeks later a team of automobile experts review everything recorded in the accident, improve the algorithm to reduce the chance of accident even further in Edge Case 783645: the preceding human-driving car plowing into a small road obstacle at 65 mph. Firmwares are automatically upgraded during the following months.
    - thesimpsons1022 11y ago
      to recognize a cardboard box? yes.
    - prawn 11y ago
      The computer could immediately check adjacent lanes, communicate with the car behind, know how much space is on the shoulder, take information from other cars who've driven beside the box already, etc. In a fraction of a second.
- prawn 11y ago
  AI cars could communicate amongst themselves to forewarn each other. They would instantly know typical driving patterns for any location at particular times and in particular conditions. A human would know that for their usual routes at best.

by mokus 11y ago

kbenson 11y ago

Well, whether it acts more correctly becomes a moot point when it acts correct most of the time, then it's about what acts more safely. There are advantages to having a system that's not allowed to be lax when it comes to safety rules.

kevin_thibedeau 11y ago

The key is that a human can anticipate a dangerous situation and take mitigating action before a quick reaction is necessary. AI still has far to go before that sort of nuanced behavior can be replicated. Until then self driving cars will be like teenagers learning to drive. Sure they can get themselves from point A to B but I don't want to be near them while they do it.

nkozyra 11y ago
Disagree entirely. Anticipation is just a function of memory - of having enough training data that you can glean potential outcomes and their probabilities through the attributes that surround them. That's used in AI all the time already.
- refurb 11y ago
  You're drivng down a crowded highway and you see an obstacle. You're likely to get rear ended if you hit your brakes and you can't change lanes. However you recognize it's just an empty card oard box. You drive through it with no issues. Can you train a computer to do that?
  - yongjik 11y ago
    ...and it turns out the "empty" cardboard box is half filled with metal pipes, which your human eye had no way of knowing in the split-second before your car collides into it in 65 mph. Your car screeches, loses control, and swerves into the neighboring lane. But luckily a following self-driving car already detected the presence of an obstacle using radar. It detects your car maintaining speed. Within several milliseconds it evaluates chance of collision as VERY HIGH, starts evasive maneuver, scratching your car at a speed which is still uncomfortably high but not likely to cause a fatal accident. Several weeks later a team of automobile experts review everything recorded in the accident, improve the algorithm to reduce the chance of accident even further in Edge Case 783645: the preceding human-driving car plowing into a small road obstacle at 65 mph. Firmwares are automatically upgraded during the following months.
  - thesimpsons1022 11y ago
    to recognize a cardboard box? yes.
  - prawn 11y ago
    The computer could immediately check adjacent lanes, communicate with the car behind, know how much space is on the shoulder, take information from other cars who've driven beside the box already, etc. In a fraction of a second.
prawn 11y ago
AI cars could communicate amongst themselves to forewarn each other. They would instantly know typical driving patterns for any location at particular times and in particular conditions. A human would know that for their usual routes at best.