Back Fall; or, Dodge in Hell
Chapters (77)
  1. Title Page
  2. Contents
  3. Dedication
  4. Book 1
  5. Part 1
  6. Chapter 1
  7. Chapter 2
  8. Chapter 3
  9. Chapter 4
  10. Chapter 5
  11. Chapter 6
  12. Chapter 7
  13. Chapter 8
  14. Part 2
  15. Chapter 9
  16. Chapter 10
  17. Chapter 11
  18. Part 3
  19. Chapter 12
  20. Chapter 13
  21. Chapter 14
  22. Chapter 15
  23. Chapter 16
  24. Part 4
  25. Chapter 17
  26. Chapter 18
  27. Chapter 19
  28. Chapter 20
  29. Chapter 21
  30. Chapter 22
  31. Chapter 23
  32. Chapter 24
  33. Part 5
  34. Chapter 25
  35. Chapter 26
  36. Chapter 27
  37. Chapter 28
  38. Chapter 29
  39. Chapter 30
  40. Chapter 31
  41. Chapter 32
  42. Part 6
  43. Chapter 33
  44. Chapter 34
  45. Chapter 35
  46. Chapter 36
  47. Chapter 37
  48. Chapter 38
  49. Chapter 39
  50. Chapter 40
  51. Chapter 41
  52. Part 7
  53. Chapter 42
  54. Book 2
  55. Part 8
  56. Chapter 43
  57. Chapter 44
  58. Part 9
  59. Chapter 45
  60. Chapter 46
  61. Chapter 47
  62. Part 10
  63. Chapter 48
  64. Chapter 49
  65. Part 11
  66. Chapter 50
  67. Chapter 51
  68. Chapter 52
  69. Chapter 53
  70. Chapter 54
  71. Chapter 55
  72. Chapter 56
  73. Map of The Land
  74. Acknowledgments
  75. About The Author
  76. Also By Neal Stephenson
  77. Copyright

“The burn rate. The cost. The monetary cost of running the simulation. When a lot of neurons are engaged and a lot of signals are being passed over the connectome, the quantum processors at Hole in the Wall are busy, and so the system charges us more money, and draws it down from the account. I can log on and watch the balance in the account declining. Sometimes it declines fast, sometimes slow. If I draw a graph of the burn rate, it looks like this.” She peeled the top sheet off the pad to expose a new page and slashed out a long horizontal axis that presumably represented time. A shorter vertical axis was burn rate. Starting at their origin, she began to draw a line across the page, wiggling the pen randomly up and down. “At first, a lot of what looks like noise. Activity comes and goes in surges. I tried running some statistical packages against it but it’s pretty close to just chaos. But then later we start to see some periodicity emerge.” She began ticking the pen up, down, up, down, in a steady rhythm. “Like a heartbeat. Just for a little while. Then back to random.” More pen shaking. She was approaching the edge of the paper. “Just within the past week, though, it really settled down.” She slowed the pen’s progress and marked out a neat, regular series of ramps, each ramp ending with a sudden drop toward zero. The last of them went off the page. Having run out of paper, she flipped the pad around and held it up so that Enoch and C-plus could see her handiwork.

“And that’s where we are now,” she concluded. “As of an hour ago.”

“Like it’s stuck in some kind of repetitive cycle,” C-plus said. “That’s my takeaway from your graph.”

“That’s what worries me,” she said. “Or maybe it’s waking up, building to some level of activity, and then going to sleep again.”

“I would not recommend putting that kind of anthropomorphic language into your thesis,” Solly said.

“Of course.”

“A very basic question: can the connectome self-modify?” Enoch asked.

“Self-modification is a vast, separate thing from what I’m trying to do at this stage!” Sophia exclaimed. She glanced at Solly and C-plus and read in their faces that they were both as taken aback as she was by Enoch’s question. Oh, it was a fascinating topic to think about. But way out of scope for this project.

“‘Dear Mom,’” Enoch repeated.

“Okay. Okay. Mom, keep in mind there’s a huge difference between this simulation and a real brain. A real brain is a Heraclitean fire. Never the same brain twice. You can take a snapshot of the connectome at the moment of death—which is what we have done here in the case of DB—but that bears the same relationship to a real brain as a freeze-frame does to a movie. In a real brain, every single time a neuron fires, the brain rewires itself a little bit in response to that event. Frequently used connections get strengthened. Neglected ones atrophy. Neurons get repurposed. Things get remembered—or forgotten. And none of that is happening in my simulation.”