Who Automates the Automators? (Quis Automatiet Ipsos Automates?)

1. QUISAUTOMATIETIPSOS AUTOMATES?

2. MARTIJN DASHORST Martijn Dashorst has been involved with Apache Wicket since it was made open source over ten years ago. He is a proud developer for over 18 years. At Topicus he helps maintain and create Wicket applications for the majority of educational professionals in the Netherlands. Martijn has evangelised Wicket at numerous conferences, including JavaOne, Devoxx

3. TOPICUS

4. THISISTHE DROIDYOU'RE LOOKINGFOR!

5. BEFOREIBEGIN...

6. FUTURISTIC BUZZWORDBINGO

7. FUTURISTIC BUZZWORD BINGO

8. WATSON DEEP LEARNING INTERNET  OF  THINGS SINGULARITY JEOPARDY STAR TREK  ECONOMY SELF DRIVING  CARS JOBLESS  FUTURE NATURAL  LANGUAGE  PROCESSING FUTURISTIC BUZZWORD BINGO

9. WATSON DEEP LEARNING INTERNET  OF  THINGS SINGULARITY JEOPARDY STAR TREK  ECONOMY SELF DRIVING  CARS JOBLESS  FUTURE NATURAL  LANGUAGE  PROCESSING FUTURISTIC BUZZWORD BINGODRINKING GAME 🍺 🍻🍾 🍹 🍸🍼🍷 ☕ 🍻

10. WHOAUTOMATESTHE AUTOMATORS?

11. FOTO: MARKUS SPISKE

12. "IN 5-10 YEARS THERE WILL BE NO MORE PROGRAMMERS: USERS WILL BUILD SOFTWARE THEMSELVES" – MY PROFESSOR IN 1990 FOTO: MARKUS SPISKE

13. WORLD POPULATION AND  SOCIAL DEVELOPMENT INDEX Abraham Buddha Confucius Jesus 7000 6000 5000 4000 3000 2000 1000 0 2000 1500 1000 500 0 500 1000 1500 2000 100 0 200 300 400 500 600 700 800 900 1000 Mohammed Roman Empire Mongol Empire Ottoman Empire Steam Engine Renaissance source: "The Second Machine Age", Andrew McAfee and Erik Brynjolfsson

14. "THE INDUSTRIAL REVOLUTION MADE MOCKERY OF ALL THAT HAD GONE BEFORE." –Ian Morris

15. THE FIRST MACHINE AGE AMPLIFIED MUSCLE POWER INFINITELY

16. "Nowcomesthesecondmachineage.Computers andotherdigitaladvancesaredoingtomental powerwhatthesteamengineandits descendantsdidformusclepower." –McAfee&Brynjolfsson

17. THESECOND MACHINEAGE

18. 2004

19. "Executingaleftturnacrossoncomingtraffic involvessomanyfactorsthatitishardto imaginediscoveringthesetofrulesthatcan replicate[a]driver’sbehavior." —2004,Levy&Murnane

20. 2010

21. "Conversationscriticalto effectiveteaching, managing,sellingand manyotheroccupations requirethetransferand interpretationofabroad rangeofinformation.In thesecases,thepossibility ofexchanginginformation withacomputer,rather thananotherhuman,isa longwayoff" —2004,Levy&Murnane

22. WHYNOW?

23. 3HORSEMENOF THEAUTOCALYPSE

24. EXPONENTIAL TECHNOLOGICAL PROGRESS 1 10 100 1K 10K 100K 1M 10M 100M 1G 1

25. "Butjustasittookgenerationsto improvethesteamenginetothe pointthatitcouldpowerthe IndustrialRevolution,it'salso takentimetorefineourdigital engines."

26. CRAMMINGMORE COMPONENTSONTO INTEGRATEDCIRCUITS  SINCE1959 "The complexity for minimum component costs has increased at a rate of roughly a factor of two per year" –Gordon Moore

27. 2015-1958=32 DOUBLINGS

28. WE'RENOWENTERINGTHE SECONDHALFOFTHE CHESSBOARD

29. DIGITALISATIONOF INFORMATIONAND GOODS 2

30. When[these]thingsaredigitised—whenthey're convertedintobitsthatcanbestoredona computerandsentoveranetwork—theyacquire someweirdandwonderfulproperties.

31. Fromlocal,timelimited, resourceconstrainedavailability Toglobal,anytime,unlimited availability

32. Digitisationisinitially expensive,butthen the digitalpropertieskickin...

33. Digitalgoodsaresubjectto differenteconomics,where abundanceisthenormratherthan scarcity.

34. GLOBALINTERNETTRAFFIC2016

35. GLOBALINTERNETTRAFFIC2016 1,3ZB

36. RECOMBINATORIAL  INNOVATION 3

37. ISINNOVATION DEAD?

38. deepnewideasortechniquesthathave thepotentialforimportantimpactson manysectorsoftheeconomy GeneralPurposeTechnologies

39. "INNOVATIONS DON'TGETUSEDUP"

40. Thetrueworkofinnovationisnot comingupwithsomethingbig andnew,butinsteadrecombining thingsthatalreadyexist.

41. GOOGLECHAUFFEUR

42. GOOGLECHAUFFEUR IPHONE

43. GOOGLECHAUFFEUR IPHONE KAHNACADEMY

44. GOOGLECHAUFFEUR IPHONE KAHNACADEMY PCR

45. CASUALTIESOFTHE SECONDMACHINEAGE

46. ENABLING  SELFSERVICE

47. ROBOTISATION

48. Want to share your Quill Connect report with your followers? The following report is based upon an analysis of your Twitter traffic and the traffic of your recent followers. It was produced by Quill Connect, an application powered by Narrative Science Quill™. Quill Connect examined your tweet history to open a window into your own Twitter performance as well as a picture of what you and your followers are talking about and sharing. Quill examined a total of 12,016 tweets from you and your most recent followers. We can start with your standing in the "Twitterverse" in general. Your Twitter career spans eight years and you tweet more than most of your followers. You tweet 22 tweets a week while your followers average 4 per week. Further, you have 752 followers listening to you, which is very close to all Twitter users. You are in the 94th percentile of Twitter users measured by followers. Your Twitter activity this week You sent out 33 tweets this week, 15 fewer than last week, but above your weekly average. What do you and your followers tweet about? Looking at your history, you're most focused on Business & Technology, Politics, and Science. Tweets in your top topic, Business & Technology, are mostly positive in tone. Your important topics match those most tweeted about by followers who are similar to you. The chart shows the different topic distributions for you, your followers and the most aggressive retweeters among them. What is the sentiment of your tweets? Your tweets don't skew positive or negative and that neutrality puts you right in line with the sentiments of the rest of your followers. (https://quillconnect.narrativescience.com) Martijn Dashorst @dashorst (https://twitter.com/share) (https://twitter.com/share) (https://twitter.com/share) Your most influential new followers These new followers of yours reach a wide audience and are often retweeted. @weird_sci (http://twitter.com/weird_sci) 188,759 followers Popular topic: Science Twitter bio: @SpaceX Engineer & @MIT PhD Tweeting Weird & Wonderful #Science Author: http://t.co/sdWa5mCX9l New followers focusing on similar topics Out of your most recent followers, these followers tweet about the same topics as you. @aniketvarma12 (http://twitter.com/aniketvarma12) 51 followers Popular topic: Business Twitter bio: Get Crowdspell, the most amazing wordgame, https://www.narrativescience.com/quill

49. MANUFACTURINGJOBS JOURNALISTS LAWYERS TAXPREPARERS DOCTOR'SASSISTANTS JEOPARDY!PLAYERS TAXIDRIVERS TRUCKCHAUFFEURS DELIVERYGUYS CHEFS TRANSLATORS CEOS

50. CANWEBE AUTOMATED?

51. 1940'S

52. 1950'S

53. 1957:FORTRAN(FIRSTCOMPILER)

54. 1959:COBOL

55. 1972:C 1980:C++

56. 1990-:HASKELL,PYTHON, RUBY,JAVA,LUA,PHP

57. http://www.smbc-comics.com/?id=2362

65. FOTO: RAPINVENT

66. FOTO: DIPTANSHU SHARMA

67. WHOWRITESDATABASE QUERIESINASSEMBLER?

68. MACHINECODE→ASSEMBLY→2NDGEN→3RDGEN SQL→JDBC→ORM SERVLETS→JSP→JSF CGI→JAVA→JAVAEE→RUBY→NODE CORBA→DCOM/RMI→SOAP→REST HTML→PHP→WORDPRESS→SQUARESPACE MANUALTESTING→JUNIT→COVERAGE→PITEST

69. HTTPS://XKCD.COM/1319/

70. CANWEBE AUTOMATED?

71. YES (WE HAVE BEEN DOING SO SINCE THE INVENTION OF COMPUTERS)

72. BUT

73. Thereisnosingledevelopment,ineither technologyormanagementtechnique, whichbyitselfpromisesevenoneorder-of- magnitudeimprovementwithinadecade inproductivity,inreliability,insimplicity. –Frederick Brooks from: 'No Silver Bullet-Essence and Accident in Software Engineering', 1986

74. Codingiswritingtextfilesinforeign languagescontaininginstructionssuitable foranabsoluteidiottofollow.Unlike humanreaders,computerscannotinfer meaningfromambiguoustext. –Stephen Nichols from: 'Coding Academies Are Nonsense', 2015

75. WHATARETHREATSTO OURJOBSECURITY?

76. SELF-SERVICE

77. ROBOTISATION

78. +STACKOVERFLOW +GITHUB +AI =?

79. CODEPHAGE

80. QUISAUTOMATIETIPSOS AUTOMATES?

81. NOS (LIBENTIUS FACIMUS)

82. WE (WILLINGLY)

83. ONEMORETHING

84. IGUESSTHEYARE OCCUPIED...

85. ...FORNOW!

86. THANKYOU!