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Ok Computer. Peter Gasston
The document discusses the rapid advancement of artificial intelligence, particularly deep learning, and its implications for the job market, suggesting that many jobs could be at risk as AI becomes capable of performing routine tasks. It emphasizes the importance of using AI to enhance user experiences and innovation while acknowledging that AI lacks the creative capabilities of humans. The text highlights the growing effectiveness of conversational interfaces and the evolving expectations users have toward AI technologies.
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Ok Computer. Peter Gasston
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- 2. Peter Gasston C.T. at+rehabstudio @stopsatgreen broken-links.com
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- 10. @stopsatgreen Artificial Intelligence is becomingvery good, very quickly.
- 11. How deep learningworks Input Input Output Classification
- 12. How deep learningworks
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- 15. @stopsatgreen Now A.I. iscoming for your job.
- 16. Is your jobat risk? Abstractions People Pictures Words Numbers Routine Variety You’re alright Get nervous Bye Bye
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- 18. @stopsatgreen One in fiveof us could be out of work.
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- 23. @stopsatgreen –Travis Gertz “The workwe produce is repeatable and predictable. It panders to a common denominator. We build buckets and templates to hold every kind of content, then move on to the next component of the system. Digital design is a human assembly line.”
- 24. Is your jobat risk? Abstractions People Pictures Words Numbers Routine Variety You’re alright Get nervous Bye Bye
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- 26. @stopsatgreen – Wired “[muScalpel] successfullytransplanted a video coding format from one media player to another. It took the automated system 26 hours to complete the transplant, while VLC's manual addition of the code happened over a period of 20 days.”
- 27. @stopsatgreen – MIT news “Heliumis a system that revamps and fine- tunes code without ever needing the original source, in a matter of hours or even minutes.”
- 28. @stopsatgreen AI can’t doour jobs, but it can do bits of our jobs.
- 29. @stopsatgreen The future ofweb apps is partly automated.
- 30. @stopsatgreen – Travis Gertz “Whilewe’ve been streamlining our processes and perfecting our machine-like assembly techniques, others have been watching closely and assembling their own machines. We’ve designed ourselves right into an environment ripe for automation.”
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- 34. @stopsatgreen – Cameron Moll “Masteryof creation and composition is much more important than mastery of tools.”
- 35. @stopsatgreen – Andrew Ng “Weneed to enable a lot of people to do non- routine, non-repetitive tasks. Teaching innovation and creativity could be one way to get there.”
- 36. @stopsatgreen We should useA.I. to our own benefit.
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- 41. @stopsatgreen We can useA.I. to provide better services to our users.
- 42. @stopsatgreen – Cennydd Bowles “AIis becoming a cornerstone of user experience. This is going to be interesting (read: difficult) for designers.”
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- 44. @stopsatgreen – Cennydd Bowles “We’llhave to create frameworks / scaffolds / templates for AIs to deliver output through. These scaffolds may be sonic, tactile, and linguistic as well as visual.”
- 45. @stopsatgreen Artificial Intelligence is becomingvery good, very quickly. Artificial Intelligence is becoming very available, very quickly.
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- 52. @stopsatgreen The more youtrain deep learning systems, the better they get.
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- 55. @stopsatgreen At a certainpoint your users’ expectations will be raised.
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- 64. @stopsatgreen The ‘killer app’of A.I. is natural language understanding.
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- 70. @stopsatgreen A.I. excels atconversation.
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- 72. @stopsatgreen Machine: hi, thisis <name> from helpdesk connect, what can i help you with today? Human: hi, i forgot my password. can you tell me how i can recover it? Machine: i’ll need to verify who it is at that machine. can we do a hangout? Human: yes Machine: <a hangout ensues> Human: cool, i am good now
- 73. @stopsatgreen –Kyle Dent “A conversationis a sequence of turns where each utterance follows from what’s already been said and is relevant to the overall interaction. Dialog systems must maintain a context over several turns.”
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- 80. @stopsatgreen Conversation doesn’t needto be vocal, but it helps.
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- 84. @stopsatgreen Making computers listenis easy… now.
- 85. @stopsatgreen Since 2012 Google’svoice recognition error rate has dropped from 26% to 8%.
- 86. @stopsatgreen 10% of Baidusearch queries are by voice. That’s approx. 500m per day.
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- 90. @stopsatgreen Making computers understand ishard. But possible.
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- 100. @stopsatgreen (A) Future ofWeb Apps: From GUI to CUI.
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- 107. @stopsatgreen Conversational UI isan idea whose time has come.
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- 111. @stopsatgreen Old problems stillapply to new interaction models.
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- 116. @stopsatgreen The ready availabilityof deep learning happened so quickly that we barely realised.
- 117. @stopsatgreen A.I. is improvingrapidly. A.I. will take some jobs. A.I. can’t create like people. A.I. can improve your work.
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