Multiplicity of Re-cognition Evolving Systems

Wired brings this interview posted April 8, 2009. Tim O'Reilly founder and CEO of O'Reilly Media Inc. discusses much more than "the origins of Web2.0 and the rise of Twitter..." during his conversation with Fora.tv CEO Blaise Zerega on April 2, 2009 in San Francisco.

To cite some:
  • We're moving into a more sensory-like evolution process involving humans and machines,... "starting to build hybrid human-computing machine as a sub-text of Web2.0".
  • Companies that survived the previous crash: invited their customers (to contribute) to make the company better. (focus on Amazon.com)
  • Google as a collective intel: the people point to a page and then Google elevates it... We are all contributing to Google every time we create web content. They are figuring their ad options in real time... measuring what people click on.
  • There may be a revolution coming in business, when you see what Google does when it gets (new) information: Google has to adjust the algorithms all the time, so it's not about people taking in lots of data and making decisions but with figuring what's been mixed and changing algorithms.
  • Imagine what happens when your supply chain is driven by sensors... voters ideas... we are starting to build autonomic systems, that respond automatically to stimuli...
  • The vision of Web2.0 is learning to recognize things by accumulating content and analyzing it with new tools. Everything in Web2.0 was implicit in what Tim Berners-Lee originally designed.
  • We are teaching machines to do recognition ... speech recognition, visual recognition.... we're are getting to that kind of augmented reality when our computers will have sensors that might be even be better than our own recognition senses. Google is developing "an ear" to recognize speech data and provide users what they are looking for utilizing their location and info they have on nearest places and data.
  • Sub-systems that give you access to data bases in the cloud, constructed by human aggregated data: crowd sourced.
  • It may not be about a single "new new thing" or that we might notice it right away... but he does highlight Twitter as a distinctive new thing: "it's brought real time to a new peak on the web".
  • Modularity is one of the things we are learning from Twitter Vs a world with info delay, or a narrative that has to change altogether every time an element within changes. Revision controls for collaboration at scale must be improved.
  • No need for a catalogue book on the Web... that book would be the World Wide Web.
  • We don't wear name tags in everyday life to recognize people we've seen before. Our computers are getting best at recognizing context in order to perform better sensory induced recognition.
  • It's not just about tools but about learning how to use tools better. We are changing our machines and they are changing us. We have always adapted to our artifacts. We use memory very differently in our different evolutionary stages. People thought only a couple hundred years ago that people who could read without moving their lips were... strange.

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