full transcript

From the Ted Talk by Grady Booch: Don't fear superintelligent AI

Unscramble the Blue Letters

The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of milloins upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with hmuans in natural language? Yes. Can we build sytmses that recognize otbcejs, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out panls against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and mraol foundation? This we must laern how to do. So let's accept for a moment that it's possible to bliud such an artificial intelligence for this kind of msoisin and others.

Open Cloze

The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of ________ upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with ______ in natural language? Yes. Can we build _______ that recognize _______, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out _____ against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and _____ foundation? This we must _____ how to do. So let's accept for a moment that it's possible to _____ such an artificial intelligence for this kind of _______ and others.

Solution

  1. millions
  2. objects
  3. build
  4. mission
  5. moral
  6. systems
  7. humans
  8. plans
  9. learn

Original Text

The art and the science of computing have come a long way since HAL was onscreen, and I'd imagine if his inventor Dr. Chandra were here today, he'd have a whole lot of questions for us. Is it really possible for us to take a system of millions upon millions of devices, to read in their data streams, to predict their failures and act in advance? Yes. Can we build systems that converse with humans in natural language? Yes. Can we build systems that recognize objects, identify emotions, emote themselves, play games and even read lips? Yes. Can we build a system that sets goals, that carries out plans against those goals and learns along the way? Yes. Can we build systems that have a theory of mind? This we are learning to do. Can we build systems that have an ethical and moral foundation? This we must learn how to do. So let's accept for a moment that it's possible to build such an artificial intelligence for this kind of mission and others.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
artificial intelligence 8
build systems 4
human experience 3
human life 2
engineering problem 2
mission control 2

Important Words

  1. accept
  2. act
  3. advance
  4. art
  5. artificial
  6. build
  7. carries
  8. chandra
  9. computing
  10. converse
  11. data
  12. devices
  13. dr
  14. emote
  15. emotions
  16. ethical
  17. failures
  18. foundation
  19. games
  20. goals
  21. hal
  22. humans
  23. identify
  24. imagine
  25. intelligence
  26. inventor
  27. kind
  28. language
  29. learn
  30. learning
  31. learns
  32. lips
  33. long
  34. lot
  35. millions
  36. mind
  37. mission
  38. moment
  39. moral
  40. natural
  41. objects
  42. onscreen
  43. plans
  44. play
  45. predict
  46. questions
  47. read
  48. recognize
  49. science
  50. sets
  51. streams
  52. system
  53. systems
  54. theory
  55. today