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This week on my podcast, the conclusion to my seven-part serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part six of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part five of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part four of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part three of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part two of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, part one of a serialized reading of my 2020 Onezero/Medium book How To Destroy Surveillance Capitalism, now available in paperback (you can also order signed and personalized copies from Dark Delicacies, my local bookstore).
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This week on my podcast, I read my November 2020 Locus column, Past Performance is Not Indicative of Future Results, a critical piece on machine learning and artificial intelligence that takes aim at the fallacy that improvements to statistical inference will someday produce a conscious, cognitive software construct. It’s a followup to my July 2020 column, Full Employment, which critiques the fear/aspiration of automation-driven unemployment.
Understanding that relationship requires “thick description” – an anthropologist’s term for paying close attention to the qualitative experience of the subjects of a data-set. Clifford Geertz’s classic essay of the same name talks about the time he witnessed one of his subjects wink at the other, and he wasn’t able to determine whether it was flirtation, aggression, a tic, or dust in the eye. The only way to find out was to go and talk to both people and uncover the qualitative, internal, uncomputable parts of the experience.
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This week on my podcast, I read my lastest Locus column, Free Markets, a postmortem of sorts on the delivery issues with my record-breaking audiobook Kickstarter for Attack Surface, the third Little Brother book.
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This week on my podcast, the third and final part of “Privacy Without Monopoly: Data Protection and Interoperability,” a major new EFF paper by my colleague Bennett Cyphers and me.
It’s a paper that tries to resolve the tension between demanding that tech platforms gather, retain and mine less of our data, and the demand that platforms allow alternatives (nonprofits, co-ops, tinkerers, startups) to connect with their services.
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