Re/Symbiosis

Christian 郑梵力 Ramsey
2 min readMay 22, 2019

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Reimagining our future with humans and nonhumans.

https://www.slideshare.net/ChristianRamsey/re-symbiosis

https://www.slideshare.net/ChristianRamsey/re-symbiosis
  1. Reimagining our future with humans and nonhumans Re:Symbiosis
  2. 2. Anthropocene The 6th Great Mass Extinction
  3. 3. ● Co2 ● Damming ● Extinctions ● Land Use
  4. 4. But it’s not just “non-humans who are impacted”
  5. 5. “We are the asteroid”
  6. 6. “We are the asteroid”
  7. 7. “We are the asteroid”
  8. 8. “We are the asteroid” “We are the asteroid”
  9. 9. The Severing + Agrilogistics
  10. 10. Agrilogistics
  11. 11. Anthropocene The 6th Great Mass Extinction
  12. 12. Anthropocene The 6th Great Mass Extinction
  13. 13. Anthropocene The 6th Great Mass Extinction
  14. 14. Anthropocene The 6th Great Mass Extinction
  15. 15. Nature as other
  16. 16. The Infinite Loop of Agriculture 10,000 + Years of the Agriculture — Optimising for quantity and efficiency. — Short term optimisation leads to latching on to bugs — It’s easier to improve agricultural models than to change them
  17. 17. Agrilogistics
  18. 18. Agrilogistics
  19. 19. Agrilogistics
  20. 20. The Great Severing https://www.dropbox.com/s/i6lh6q6i u01pbca/Screenshot%202019–04–3 0%2009.00.00.png?dl=0
  21. 21. Us vs. Them
  22. 22. The Symbiotic Real
  23. 23. Bacteria to Human Where did we come from?
  24. 24. 堆 Heaps 堆 Soritories Paradox
  25. 25. Soritories Paradox
  26. 26. Soritories Paradox
  27. 27. What if things like worlds, cultures, intelligence, empathy, gender are much more lightweight and leaky than we ever imagined?
  28. 28. — Mutually exclusive — Collectively exhaustive — Unambiguous
  29. 29. — Mutually exclusive — Collectively exhaustive — Unambiguous
  30. 30. Neuroscientist discovers the neural correlates of emotion in rats and humans.
  31. 31. Logic & The Uncanny Valley
  32. 32. Traditional Machine Learning (Symbolic AI) failed because perfect rules can never grasp “heaps”.
  33. 33. Deep Learning: from rules and logic to “you know it when you see it”.
  34. 34. — Mutually exclusive — Collectively exhaustive — Unambiguous
  35. 35. — Mutually exclusive — Collectively exhaustive — Unambiguous
  36. 36. What if things like worlds, cultures, intelligence, empathy, gender are much more lightweight and leaky than we ever imagined?
  37. 37. Subscendence
  38. 38. “Your community is made of many separate parts each of which are important, but none have significant value by themselves. The whole (community) is more important, more useful, more beautiful, or in some ways “greater” than all of the separate parts standing on their own.”
  39. 39. The whole is greater than the sum of it’s parts. The whole is always less than the sum of it’s parts.
  40. 40. Female American Carnivore Herbivore Right-Handed Book Reader Wavy Haired
  41. 41. unsevering
  42. 42. RE-Symbiosis
  43. 43. RE-Symbiosis History now depends on our ability to bring ecological awareness into our algorithms. Every action we make matters more than it ever did. But yet, no single action matters, we need collective action. We need solidarity with humans and nonhumans. We must stay with the trouble.
  44. 44. RE-SymbiosisIt’s not our fault, but it is our responsibility.
  45. 45. Earth-centred not human-centred. Life is ambiguous, not life as prepackaged Expand human flourishing not Exploit human bugs Solidarity with beings, not human exceptionalism
  46. 46. References Robert Sapolsky Timothy Morton Blaise Arcas Jan van Hoof Donna Haraway Francis de Waal Nick Lane Lynn Margolis Francis Crick Ed Yong Jaak Panksepp Jordan Peterson Eric Weinstein

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Christian 郑梵力 Ramsey

Human-Centred Machine Learning @IDEO, co-author of Applied Deep Learning. Contemplative at San Francisco Zen Center. www.linkedin.com/in/christianramsey