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Cloud Superintelligence

My presentation from the Ars Electronica cloud intelligence symposium in September 2009. The core question is how online networks can become smart.

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Cloud Superintelligence

  1. 1. Cloud superintelligence <ul><li>Anders Sandberg </li></ul><ul><li>Future of Humanity Institute </li></ul><ul><li>James Martin 21 st Century School </li></ul><ul><li>Oxford University </li></ul>
  2. 2. Austria has around 821,000,000 IQ points
  3. 6. Total work = individual work – communications losses
  4. 7. Cheap superintelligence <ul><li>Sometimes simple tricks produce amazing results </li></ul>
  5. 8. Select best
  6. 9. Parallel trials (different agents) Select best
  7. 10. Wikimagic <ul><li>Basic model: visitors to a page improve it if they think they can do better </li></ul>
  8. 16. Judge best Evaluating complex results
  9. 17. Judge best Multiple agents as units
  10. 18. Judge best Feedback for further improvement
  11. 19. Select best Scientific community
  12. 20. Evolutionary algorithm Select best solution(s) Variation
  13. 21. Information market Price mechanism Prices Aggregated information
  14. 22. Why we need more people <ul><li>Why did the Tasmanians lose bone tools, fishing and warm weather clothing? </li></ul><ul><li>Simple model </li></ul><ul><ul><li>People imitate other people, innovate rarely </li></ul></ul><ul><ul><li>Number of technologies that can be retained then depends on population size </li></ul></ul>
  15. 26. Why blogs 1 get smart <ul><li>Managing limited input channels </li></ul><ul><li>Model </li></ul><ul><ul><li>Agents read a limited number of information sources and have certain interests (many unique) </li></ul></ul><ul><ul><li>Random agents post stories based on their interests </li></ul></ul><ul><ul><li>If one read agent has a piece of interesting news that source is regarded as more useful by the agent </li></ul></ul><ul><ul><li>Agents write about the interesting news with a certain probability, creating information cascades </li></ul></ul><ul><ul><li>Over time agents randomly shift to other sources if one proves useless </li></ul></ul>1: Or twitterers, journals, friends, etc…
  16. 31. Problem recogniser: Invoke suitable resource manager Monitor/ trouble-shooter Resource manager: set up suitable problem solving structure
  17. 32. Superknowledge <ul><li>Often information can substitute for smarts </li></ul>
  18. 33. 80 million tiny images <ul><li> </li></ul><ul><li>Gather lots of example images, find nearest neighbours of input image, deduce properties </li></ul>
  19. 35. Superorganisms and the posthuman realm