full transcript
"From the Ted Talk by Nick Bostrom: What happens when our computers get smarter than we are?"

Unscramble the Blue Letters

What we do know is that the ultimate limit to information processing in a machine sausrttbe lies far outside the limits in biological tissue. This comes down to physics. A biological neuron fries, maybe, at 200 htrez, 200 times a second. But even a present-day transistor operates at the Gigahertz. Neurons propagate slowly in axons, 100 meters per second, tops. But in computers, sanglis can travel at the speed of light. There are also size limitations, like a hmaun brain has to fit inside a cranium, but a computer can be the size of a warehouse or larger. So the potential for superintelligence lies drnoamt in matter, much like the power of the atom lay dormant throughout human hsritoy, patiently waiting there until 1945. In this century, sttiesncis may learn to awaken the power of artificial incetenlgile. And I think we might then see an intelligence explosion.

Open Cloze

What we do know is that the ultimate limit to information processing in a machine _________ lies far outside the limits in biological tissue. This comes down to physics. A biological neuron _____, maybe, at 200 _____, 200 times a second. But even a present-day transistor operates at the Gigahertz. Neurons propagate slowly in axons, 100 meters per second, tops. But in computers, _______ can travel at the speed of light. There are also size limitations, like a _____ brain has to fit inside a cranium, but a computer can be the size of a warehouse or larger. So the potential for superintelligence lies _______ in matter, much like the power of the atom lay dormant throughout human _______, patiently waiting there until 1945. In this century, __________ may learn to awaken the power of artificial ____________. And I think we might then see an intelligence explosion.

Solution

  1. signals
  2. human
  3. substrate
  4. dormant
  5. history
  6. scientists
  7. fires
  8. intelligence
  9. hertz

Original Text

What we do know is that the ultimate limit to information processing in a machine substrate lies far outside the limits in biological tissue. This comes down to physics. A biological neuron fires, maybe, at 200 hertz, 200 times a second. But even a present-day transistor operates at the Gigahertz. Neurons propagate slowly in axons, 100 meters per second, tops. But in computers, signals can travel at the speed of light. There are also size limitations, like a human brain has to fit inside a cranium, but a computer can be the size of a warehouse or larger. So the potential for superintelligence lies dormant in matter, much like the power of the atom lay dormant throughout human history, patiently waiting there until 1945. In this century, scientists may learn to awaken the power of artificial intelligence. And I think we might then see an intelligence explosion.

ngrams of length 2

collocation frequency
artificial intelligence 7
machine intelligence 4
optimization process 4
ed witten 3
human level 3
hard work 3
control problem 3

Important Words

  1. artificial
  2. atom
  3. awaken
  4. axons
  5. biological
  6. brain
  7. century
  8. computer
  9. computers
  10. cranium
  11. dormant
  12. explosion
  13. fires
  14. fit
  15. gigahertz
  16. hertz
  17. history
  18. human
  19. information
  20. intelligence
  21. larger
  22. lay
  23. learn
  24. lies
  25. light
  26. limit
  27. limitations
  28. limits
  29. machine
  30. matter
  31. meters
  32. neuron
  33. neurons
  34. operates
  35. patiently
  36. physics
  37. potential
  38. power
  39. processing
  40. propagate
  41. scientists
  42. signals
  43. size
  44. slowly
  45. speed
  46. substrate
  47. superintelligence
  48. times
  49. tissue
  50. tops
  51. transistor
  52. travel
  53. ultimate
  54. waiting
  55. warehouse