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

Until just now he’d been at the breeding station. That has another name. Center for Genetic-Molecular something or other. He finds that sort of thing interesting. You’re already familiar with Dolly the sheep, the animal chastised by the press years ago in order to divert attention from the real developments in the field of human research. In the meantime it has become possible to reproduce entire humans. And to perfect their DNA. So, let’s see, the first functional clones are already five years old. There’s baby Bill Gates. Margaret Thatcher, Cara Delevingne, and Adele. But thin Adele. We don’t see any coloration darker than pink. We see five-year-old Mark Zuckerbergs with reduced noses leaning over, programming AI.

All of these creatures will likely enjoy a life expectancy of over a hundred years, inherited diseases are not included, all organs run at max capacity. Perfect little baby teeth, an extraordinary vocabulary. The programmer is in an extremely bad mood. The generation growing up now will eat people like him alive. People like him, whose teeth are still riddled with cavities, whose hair is thinning and who are subject to moods. The new people will be as perfect as is possible for an organism with an expiration date to be. They’ll be handsome and smart, perfect and pain free.

But that’s

Absurd

Thinks

THE CLONE KID

Who has just inquisitively driven a nail through his hand, inspired by a portrayal of Jesus online. So what’s the problem?, thinks the clone kid, and pulls the nail back out of his hand. The kid examines the wound, tastes the blood, looks up the composition of blood on the internet. Is satisfied. Has once again understood something. The clone kid doesn’t get tired. Been awake for ten hours now at this point, in order to address the field of artificial intelligence in relation to consumer choice. Customers today don’t buy products but experiences. “Experience makers” play a huge role, virtual assistants are the keyword, they can plan experience routes for road users, and can, based on their consumer preferences, supply cost-free messages alerting the consumers to good deals, though it is important to offer the consumer the suitable content at the right time, right place, and in real time. The Experience Cloud is a platform that makes all data—that is, consumer data—centrally accessible and available. The data from old systems, from social media, is coupled with the new biometric data, promising great precision with regard to biorhythms. When exactly is the consumer hungry, excited, when does the person feel a pronounced loneliness so that the promise of shopping can be dangled with a promise of alleviating it? Evaluating the data is extremely easy with AI; you can analyze consumers’ transactions and use them to make predictions.