Comments on: Brian Lamb Rocks http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/ Fri, 30 Jul 2010 10:43:27 +0000 http://wordpress.org/?v=2.0.4 by: Jeff Richardson http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-500 Wed, 24 Jan 2007 22:42:34 +0000 http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-500 You can view this interview or read the transcript here: http://www.q-and-a.org/Program/index.asp?ProgramID=1107 I have loved reading your writing on technology since your days at Macworld, and you are the primary reason that I subscribe to Newsweek. Keep up the good work! -Jeff You can view this interview or read the transcript here:

http://www.q-and-a.org/Program/index.asp?ProgramID=1107

I have loved reading your writing on technology since your days at Macworld, and you are the primary reason that I subscribe to Newsweek. Keep up the good work!

-Jeff

]]> by: Neil Squillante http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-93 Tue, 26 Dec 2006 05:20:39 +0000 http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-93 Steve, I just finished listening to your book on my iPod (it seemed like the best way to "read" this particular book). I loved the book, but disagree with your assumptions about the popularity of shuffle among iPod users (which you are now seeing in your audiences). I can only speak for myself, but suspect I'm not alone. I use a combination of human programming and the randomness of shuffle -- namely smart playlists. The playlist I use most often plays songs rated 4 or 5 stars that I have not heard in more than 30 days. Another favorite playlist contains unrated songs, which I audition and rate. I also disagree with your assumption that shuffle makes so much sense because people love all the songs on their iPod. Again, I can only speak from personal experience, but like many people, I typically like just one or two songs per CD yet I ripped every song in my collection since hard drive space is cheap. Shuffle by itself would play many songs that I do not like (but like to keep around for whatever reason). Steve, I just finished listening to your book on my iPod (it seemed like the best way to “read” this particular book). I loved the book, but disagree with your assumptions about the popularity of shuffle among iPod users (which you are now seeing in your audiences). I can only speak for myself, but suspect I’m not alone. I use a combination of human programming and the randomness of shuffle — namely smart playlists. The playlist I use most often plays songs rated 4 or 5 stars that I have not heard in more than 30 days. Another favorite playlist contains unrated songs, which I audition and rate. I also disagree with your assumption that shuffle makes so much sense because people love all the songs on their iPod. Again, I can only speak from personal experience, but like many people, I typically like just one or two songs per CD yet I ripped every song in my collection since hard drive space is cheap. Shuffle by itself would play many songs that I do not like (but like to keep around for whatever reason).

]]> by: Diane Sammer http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-89 Mon, 25 Dec 2006 18:40:47 +0000 http://www.stevenlevy.com/index.php/2006/12/24/brian-lam-rocks/#comment-89 I saw some of the C-Span interview last night and two things struck me. First, your suggestion that music collections say a lot about their owners and second, there are plenty of unexpected connections that our music bring us to. As CEO of the company that has developed and recently announced Goombah to the world, I spend a lot of time thinking about similar things. Goombah analyzes individual iTunes libraries, connects people to others in the community who are most like them musically and offers recommendations of new music based on those connections. Shuffle offers a new look at the connections among your own music collection. Goombah broadens that universe so users can explore the connections they have with relevant strangers and their collections. It's an extended shuffle guided by statistical relevance. I look forward to reading the book. I saw some of the C-Span interview last night and two things struck me. First, your suggestion that music collections say a lot about their owners and second, there are plenty of unexpected connections that our music bring us to.

As CEO of the company that has developed and recently announced Goombah to the world, I spend a lot of time thinking about similar things. Goombah analyzes individual iTunes libraries, connects people to others in the community who are most like them musically and offers recommendations of new music based on those connections.

Shuffle offers a new look at the connections among your own music collection. Goombah broadens that universe so users can explore the connections they have with relevant strangers and their collections. It’s an extended shuffle guided by statistical relevance.

I look forward to reading the book.

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