Eve: Working Around Evolution

Transcript

1. These are slides, not a paper. You’! need to watch

   the talk to understand the context.

2. Eve Working around evolution.

3. steve{@(stevelosh}.com) {twitter} (website)

4. 200,000 BCE 2012 CE (modern humans evolved) (present day)

5. Eat

6. Reproduce

7. Don’t Die

8. Natural Selection

9. Eyes Subconscious Brain Conscious Brain

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11. LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTS OFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSL OTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSO FGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRA SSYGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFG RASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSSMALLTREELOTSOFGRASSDIRTLOTSOF GRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOT SOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSANDLOTSOFGRASSLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGR

    ASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSDIRTLOTS OFGRASSANDDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSO FGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRA SSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSYGRASSLOTSOFGRASSDIRTLOTSOFG RASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGR ASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLIONLOTSOFGRASSL OTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSO FGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLO TSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSSOMUCHGRASSLOTSOFGRASSDIRTDI RTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLO TSOFGRASSLOTSOFDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS

12. LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTS OFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSL OTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSO FGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRA SSYGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFG RASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSSMALLTREELOTSOFGRASSDIRTLOTSOF GRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOT SOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSANDLOTSOFGRASSLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGR

    ASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSDIRTLOTS OFGRASSANDDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSO FGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRA SSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSYGRASSLOTSOFGRASSDIRTLOTSOFG RASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGR ASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLIONLOTSOFGRASSL OTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSO FGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLO TSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSSOMUCHGRASSLOTSOFGRASSDIRTDI RTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLO TSOFGRASSLOTSOFDIRTLOTSOFGRASSLOTSOFGRASSLOTSOFGRASSLOTSOFGRASS LOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASSLOTSOFGRASSDIRTLOTSOFGRASS

13. GRASS TREE LION

14. Small numbers of medium-sized things

15. Small numbers “Fewer than ten”

16. Medium-sized things “Bigger than a child, smaller than an elephant”

17. Agriculture!

18. Large numbers of tiny and/or enormous things

19. “Two million rows in the database”

20. “One hundred milliseconds to serve an HTTP request”

21. “65,536 blocks in a Minecra$ chunk”

22. We are not alone!

23. “10 to 100 trillion ce!s in the human body”

24. “9.2 × 1037 proton-proton chain reactions per second in the

    sun”

25. Math & Science

26. None

27. Reason

28. Abstractions

29. Large numbers of things Small numbers of things

30. Logic

31. Abstractions New Abstractions

32. Abstractions

33. Small number of abstractions Many things in the real world

34. None
35. None

36. Pythagoras

37. a2 + b2 = c2

38. a b c

39. a b c a2 b2 c2

40. =

41. Eve

42. “The ancestor of every living human on Earth”

43. 200,000 BCE 2012 CE (modern humans evolved) (present day)

44. Reason

45. None
46. None
47. None
48. None

49. Generations Ago Ancestors 1 2 2 4 3 8 4

    16 5 32 6 64 7 128 8 256

50. ancestors = 2generations

51. ancestors = 2((2012 - year) / 20)

52. (ns eve.core (:use [incanter core io charts stats])) (def world-population

    (read-dataset "https://raw.github.com/.../world-population.csv" :header true)) (defn number-of-ancestors [x] (let [years-ago (- 2012 x) generations-ago (int (/ years-ago 20))] (Math/pow 2 generations-ago))) (doto (scatter-plot ($ :year world-population) ($ :population world-population) :x-label "Year" :y-label "People") (add-function number-of-ancestors 500 2012) (set-x-range 500 2012) (set-y-range 0 1300000000) view)
53. None
54. None

55. 200,000 BCE 2012 CE (modern humans evolved) (present day) 1450

    CE (Eve?)

56. Measurement

57. Gather Data and Analyze it with Statistics

58. Learn!

59. None

60. 200,000 BCE 2012 CE (modern humans evolved) (present day) 3,000

    BCE (Eve)

61. Math and Science work!

62. How can we learn from them?

63. Reason

64. Stop. Think.

65. “You have to keep a dozen of your favorite problems

    constantly present in your mind, although by and large they wi! lay in a dormant state. Every time you hear or read a new trick or a new result, test it against each of your twelve problems to see whether it helps.”

66. Write Reasonable Code

67. Measurement

68. Monitoring

69. IN PRODUCTION!

70. Everyone who cares how fast Node.js serves Fibonacci numbers on

    your laptop You

71. (defn get-account-type [cash] (cond (< cash 1000) :normal (< cash

    10000) :silver :else :gold)) (time (dotimes [_ 1000] (get-account-type (rand 20000)))) "Elapsed time: 8.857 msecs" (time (dotimes [_ 1000] (get-account-type (rand 20000)))) "Elapsed time: 5.255 msecs" (time (dotimes [_ 1000] (get-account-type (rand 20000)))) "Elapsed time: 4.37 msecs" (dotimes [_ 1000000] (get-account-type (rand 20000))) (time (dotimes [_ 1000] (get-account-type (rand 20000)))) "Elapsed time: 0.476 msecs"

72. Monitoring Tools

73. IN PRODUCTION

74. Testing

75. One Unit Test equals 1 bit of information

76. One Unit Test equals one of my assumptions is true

    for one set of input on one particular machine at one particular point in time

77. Generative Testing

78. One Generative Test equals many bits of information

79. One Generative Test equals one of my assumptions is true

    for thousands of sets of input on one particular machine at one particular point in time

80. Ape Brains

81. None

82. Small numbers of medium-sized things

83. Math & Science

84. Reason

85. Measurement

86. Overcome Evolution

87. Thanks!

88. http://www.census.gov/ipc/www/worldhis.html http://pivotallabs.com/talks/139-metrics-metrics-everywhere http://www.infoq.com/presentations/Simple-Made-Easy http://greenteapress.com/thinkstats/ http://en.wikipedia.org/wiki/Human_microbiome http://en.wikipedia.org/wiki/Sun http://tedlab.mit.edu/~dr/Papers/Rohde-MRCA-two.pdf http://incanter.org/ http://www.khanacademy.org/ http://en.wikipedia.org/wiki/QuickCheck

    http://github.com/clojure/test.generative http://github.com/sjl/bacon-eve

89. /sjl/eve github.com bitbucket.org { }

90. Thanks!

91. None