Gavin Mueller, author of Breaking Things at Work, argues that what makes AI particularly galling isn't just job displacement — it's that these systems were built on decades of uncompensated human activity: Wikipedia entries, scraped books, ordinary conversation online. Mueller ties this “training data without consent” problem back to his book's central argument, describing a “sedimentary” pattern where older concerns about deskilled labor and Taylorist control now resurface layered with new anxieties about environmental cost and data extraction.
FULL EPISODE URL — https://youtu.be/eaobWXAESK8
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