2 ms·

Disagree entirely. Anticipation is just a function of memory - of having enough training data that you can glean potential outcomes and their probabilities thr

by 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.

2 ms·

Disagree entirely. Anticipation is just a function of memory - of having enough training data that you can glean potential outcomes and their probabilities thr

by nkozyra 11y ago

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.