full transcript
From the Ted Talk "Daniel Susskind: 3 myths about the future of work (and why they're not true)"

Unscramble the Blue Letters

To see this, go back to the case of making a medical giosndsai. Earlier in the year, a team of researchers at Stanford nedcnnoua they'd developed a system which can tell you whether or not a freckle is cancerous as accurately as leading dermatologists. How does it work? It's not trying to copy the judgment or the intuition of a doctor. It knows or rudatsnends nothing about medicine at all. Instead, it's running a pattern recognition ahirlgtom through 129,450 past cases, hunting for similarities between those cases and the particular lesion in question. It's performing these tasks in an unhuman way, adesb on the niylssaa of more possible cases than any doctor could hope to review in their lifetime. It didn't matter that that human being, that oodctr, couldn't nliepax how she'd performed the task.

Open Cloze

To see this, go back to the case of making a medical _________. Earlier in the year, a team of researchers at Stanford _________ they'd developed a system which can tell you whether or not a freckle is cancerous as accurately as leading dermatologists. How does it work? It's not trying to copy the judgment or the intuition of a doctor. It knows or ___________ nothing about medicine at all. Instead, it's running a pattern recognition _________ through 129,450 past cases, hunting for similarities between those cases and the particular lesion in question. It's performing these tasks in an unhuman way, _____ on the ________ of more possible cases than any doctor could hope to review in their lifetime. It didn't matter that that human being, that ______, couldn't _______ how she'd performed the task.

Solution

  1. understands
  2. based
  3. algorithm
  4. doctor
  5. explain
  6. analysis
  7. diagnosis
  8. announced

Original Text

To see this, go back to the case of making a medical diagnosis. Earlier in the year, a team of researchers at Stanford announced they'd developed a system which can tell you whether or not a freckle is cancerous as accurately as leading dermatologists. How does it work? It's not trying to copy the judgment or the intuition of a doctor. It knows or understands nothing about medicine at all. Instead, it's running a pattern recognition algorithm through 129,450 past cases, hunting for similarities between those cases and the particular lesion in question. It's performing these tasks in an unhuman way, based on the analysis of more possible cases than any doctor could hope to review in their lifetime. It didn't matter that that human being, that doctor, couldn't explain how she'd performed the task.

ngrams of length 2

collocation frequency
human beings 27
technological progress 7
labor fallacy 6
complement human 6
myth shows 5
machine substitution 5
intelligence myth 4
economic pie 4
artificial intelligence 4
terminator myth 3
superiority myth 3
pie bigger 3
medical diagnosis 3
displace human 3

ngrams of length 3

collocation frequency
complement human beings 6
displace human beings 3

Important Words

  1. accurately
  2. algorithm
  3. analysis
  4. announced
  5. based
  6. cancerous
  7. case
  8. cases
  9. copy
  10. dermatologists
  11. developed
  12. diagnosis
  13. doctor
  14. earlier
  15. explain
  16. freckle
  17. hope
  18. human
  19. hunting
  20. intuition
  21. judgment
  22. leading
  23. lesion
  24. lifetime
  25. making
  26. matter
  27. medical
  28. medicine
  29. pattern
  30. performed
  31. performing
  32. question
  33. recognition
  34. researchers
  35. review
  36. running
  37. similarities
  38. stanford
  39. system
  40. task
  41. tasks
  42. team
  43. understands
  44. unhuman
  45. work
  46. year