Back Grime
Chapters (69)
  1. Copyright Notice
  2. THE MILLENNIUM
  3. DON
  4. HANNAH
  5. KAREN
  6. DON’S MOTHER
  7. PETER
  8. THE MOTHER
  9. DR. BROWN
  10. HANNAH’S FATHER
  11. SERGEJ
  12. MOTHER
  13. THE RUSSIAN
  14. THOME
  15. THE RED DEER
  16. THOME’S FATHER
  17. WALTER
  18. KAREN’S BIG BROTHER
  19. PATUK
  20. OLD WOMAN
  21. POLICEWOMAN
  22. BEFORE THE INTERMISSION
  23. INTERMISSION
  24. HUMANITY
  25. SIR ERNEST (EARL)
  26. COMMUNICATIONS CONSULTANT
  27. PROGRAMMER
  28. MA WEI
  29. CARL
  30. THE FRIENDS (BEN, KEMAL, PAVEL, MAGGY, RACHEL)
  31. BODYCAM MAN
  32. MAGGY
  33. MR. M.
  34. ROGER
  35. THE AVERAGE ENGLISHMAN
  36. THE LAB DIRECTOR
  37. HONEST MAN
  38. JOB NOMADS
  39. COURIER
  40. BOXER
  41. ATTACKERS
  42. THE EIGHT-YEAR-OLD PROSTITUTE
  43. KEVIN
  44. SWEATING MAN
  45. BERTA AND HENRY’S
  46. RACHEL
  47. YOUNG MEN
  48. ARTHUR
  49. STUDENT
  50. ROB
  51. A WOMAN
  52. PHILOSOPHER
  53. THE MATTRESS SELLER
  54. ABDULLAH B.
  55. THE PRO-LIFERS
  56. PROFESSOR DR. KUHN
  57. JON
  58. PROFESSOR
  59. MIDDLE-AGED TEACHER
  60. WOMAN WITH THE THINNING HAIR
  61. BANKER
  62. THE CHILD
  63. THE NEW PRIME MINISTER
  64. MADAME CECILIE
  65. THE JOURNALIST
  66. THE WORLD
  67. ACKNOWLEDGMENTS
  68. ABOUT THE AUTHOR
  69. Newsletter Sign-up

Nervously. He’s going to be late, god damn it. He’s in love, and he’s going to be late. Everyone in the AI department is going crazy. Nerds and professors with frantic red splotches on their faces. What happened? A new Star Trek adaptation announced? Did the pizza delivery not arrive? Have the nerds gotten into some hilarious trouble again, positioned drones in front of a gynecology practice or steered delivery robots into the Thames?

Nothing there—

After the unbelievably cute, self-teaching neural networks had for a long time been a source of joy for developers, things had at this point gotten a little out of control. Thome has no idea what exactly has happened, as neither his intelligence nor his technical expertise are sufficient for that. AI is like a black mystery box, you specify algorithms and feed it data and never know what will come out. That sentence has always stayed with Thome. Reinforcement learning had already produced some strange errors. Like, for instance, the handling of cancer patients a few months prior. Who had been designated as cured. Now they’re all dead. Wasn’t true. Premium calculations, crime statistics, computer profiling and the resultant raids, which disproportionally affect Blacks or—let’s say—Arabs and most recently the poor. The number of accidents involving self-driving cars, the sexism of the algorithms … But that’s just anecdotal evidence on the fringes of a major restructuring. Now there’s Blackbox Watch. A group of scientists who examine the black box and readjust and—what exactly they do, apply templates of higher-output neural networks to lower-output layers, um, yeah, fuck—no clue.