This is the transcript for episode 348 of the Community Broadband Bits podcast from the Institute for Local Self-Reliance. In this episode, Christopher speaks with author and researcher David Weinberger. Their conversation touches on many topics, including the importance of the Internet, how the concept of knowledge has changed throughout time, and the promise of machine learning. Read the transcript below, or listen to the episode.
David Weinberger: It's a library unlike any we've had in that you can casually dip in, spend literally the rest of your life exploring a topic by following links — links that we made for one another. This blows apart just about every idea about how the world goes together.
Lisa Gonzalez: Welcome to episode 348 of the Community Broadband Bits podcast from the Institute for Local Self-Reliance. I'm Lisa Gonzales. David Weinberger from Harvard's Berkman Klein Center and Google joined Christopher this week. As a senior researcher, author, and writer in residence, David has spent much of his time analyzing the Internet and how it has affected society over the years. Christopher and David take some time to discuss David's observations and conclusions, including addressing why the Internet is important and valuable despite its negative characteristics. The conversation also looks on how knowledge in the age of the Internet has changed and taken on a whole new meaning, not only in how information is distributed, but in how it's gathered, the extent of its reach, and the expanding responsibility that accompanies the changes. Chris and David also discuss machine learning, David's hopes and concerns, and how it expands innovation. Now here's Christopher with David Weinberger.
Christopher Mitchell: Welcome to another episode of the Community Broadband Bits podcast. I'm Chris Mitchell with the Institute for Local Self-Reliance in Minneapolis, Minnesota. Today I'm speaking with David Weinberger, the senior researcher at Harvard's Berkman Klein Center, also writer in residence at Google, working on machine learning, and the author of several books that I've enjoyed: Too Big to Know, Everything Is Miscellaneous, and author with several others in The Cluetrain Manifesto, and another book we'll tease in...Read more