My Talk With Louis Gray About Lifestreaming

Last night Louis Gray gave me a call to talk about some recent topics I have been writing about and my thoughts on the current state of Lifestreaming and where it’s going. I discussed how I want to see a content reader developed based on LIfestream data and my thoughts on the value of the checkin which I feel haven’t really been realized. We also discussed the state of several services such as FriendFeed, Google Buzz, Facebook, and Cliqset as they relate to Lifestreaming.

Louis used Cinchcast to record our conversation and you can listen to it below

Louis has several other great talks that include Darren Bounds from Lifestreaming service Cliqset, Dare Obasanjo who works on Microsoft’s Lifestreaming efforts, and Jay Air from TheCadmus which is a service that touches on some of the features I’ve proposed for a content reader.

3 thoughts on “My Talk With Louis Gray About Lifestreaming”

  1. Mark and Louis, this was a very good Cinchcast. I hadn't really put the “personal data mining” equation together in my mind until you talked about the uses of lifestreams beyond aggregation and sharing.

    Granted that Google Buzz is much younger than FriendFeed, and therefore hasn't had sufficient time to mature their product, but for me the biggest advantage of FriendFeed is that it not only receives lifestreams, but also transmits them. Much of my Facebook and Twitter streams are populated from my FriendFeed stream.

    Probably the biggest issue that will face these services will be the issue of privacy – not in the limited sense that was talked about with Google Buzz, but in the more general sense of why people would be sharing this stuff, and how that affects others. For example, if Louis and I are connected, how can my connection to him potentially violate Louis' privacy?

    P.S. If you're keeping score, I discovered this Cinchcast via Mark's Facebook feed.

  2. Thanks John. Glad you liked our talk.Yes we are all putting a lot of data out there and beyond just the personal photos and videos we are also highlighting content that we like and in many cases will also be liked by the people that follow us on various services. It's finding ways to push that information our friends are trying to share with us after the initial submission and based on the collective sharing of others that will help get that information to us.

    The issue about privacy being circumvented by a trusted third party could definitely cause some problems but if you choose your friends carefully along with the information you share with them this should help curtail that issue.

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