Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Machines Helping Humans Helping Machines

1,905 views

Published on

How do we communicate with trillions of machines? We don’t. It is up to them to find ways to aggregate the information they collect and present it in ways that humans can use. It is the duty of the localization industry to lead the development of guidelines for these interfaces that implement best practices for clarity, cross-cultural understanding, accessibility and usefulness worldwide. In this session we will present examples of how this can be achieved while preserving and enhancing the value of the localization industry and its participants.

Talk delivered at Localization World on April 15, 2015 in Shanghai, China.

Published in: Technology

Machines Helping Humans Helping Machines

  1. 1. jurvetson Machines Helping Humans Helping Machines April 15, 2015 – Shanghai
  2. 2. David Orban CEO, Dotsub @davidorban @dotsub
  3. 3. 1. Context 2. Machines 3. Emotions 4. Morality
  4. 4. 1. Context
  5. 5. Themes
  6. 6. ..., 0.0625, 0.1250, 0.5000, 1, ...
  7. 7. ..., 1, 2, 4, 8, 16, 32, 64, 128
  8. 8. 72 hours of video uploaded to YouTube every minute
  9. 9. Video will be 90% of global internet traffic by 2015 Cisco Visual Networking Index: Forecast and Methodology, 2010-2015
  10. 10. Because
  11. 11. It has the broadest emotional bandwidth
  12. 12. But
  13. 13. Video is a black box to search engines Abode of Chaos
  14. 14. And
  15. 15. English only? It won’t be understood by 90% of the World syphlix
  16. 16. Kay Koplovitz, Founder USA Networks “A billion people to have their own voice to contribute to the dialog of the 21st Century, that is very empowering!”
  17. 17. Acceleration
  18. 18. William Gibson The future is already here. It is just not evenly distributed yet
  19. 19. Pyramids archer10
  20. 20. Feudalism dicktay2000
  21. 21. Industrial Age sludgeulper
  22. 22. Network Age jurvetson
  23. 23. Technology Is Key
  24. 24. Interaction Design
  25. 25. Every object must be smart Leandro Agrò
  26. 26. Old Paradigm
  27. 27. New Paradigm
  28. 28. Photo:WIkipedia
  29. 29. familymwr
  30. 30. 2. Machines
  31. 31. Internet of Everything
  32. 32. A Granular World IPv4 ≈ 109 IPv6 ≈ 1038 Atoms ≈ 1080
  33. 33. Necessary Autonomy Platform Magnitude PCs ≈ 108 Mobiles ~ Humans ≈ 109 Spimes > 1010
  34. 34. Network Evolution Generation Isotropy Access Web data knowledge Web 2.0 applications social Spimes sensors world
  35. 35. Autonomy
  36. 36. Around us already Ryan Harvey
  37. 37. Changing dialogue Generation Bandwidth M2M Index Industrial apps Kb/s 1% Realtime Web Mb/s 10% Spime Networks Gb/s 99%+ M2M index: M2M/M2H, communications among machine in proportion to those with humans
  38. 38. Data deluge µµ
  39. 39. Not blind anymore Object # sensors Mobile phone 10 Car 50-100
  40. 40. Awareness Volvo
  41. 41. 3. Emotions
  42. 42. Emotional Computing
  43. 43. Meenfriedchickencurry
  44. 44. 4. Morality
  45. 45. When Machines Start To Think
  46. 46. IBM Watson
  47. 47. Artificial Intelligence
  48. 48. Good Bad You Are Here
  49. 49. Global Dictatorship
  50. 50. Tolerance Inclusivity
  51. 51. Intelligence Augmentation
  52. 52. Falò flickr John Wilson Coevolution
  53. 53. 5. Conclusions
  54. 54. Trying
  55. 55. Innovating
  56. 56. Inventing
  57. 57. Questions Answers Ignorance
  58. 58. Competitiveness Innovation Invention!
  59. 59. Adapting
  60. 60. Adopting
  61. 61. 𝚫t(idea-action)!0
  62. 62. ∞Opportunity
  63. 63. @davidorban @dotsub @singularityu @netsocproj

×