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Content Control | Dissent Magazine
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How to get involved in cleaning up Philly streets
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Every so often, I’ll notice references to VNS Matrix in writing today, often alongside Donna Haraway’s 1985
Cyborg Manifesto (I see Sadie Plant mentioned less often, though she’s every bit as relevant; her 1997 book
Zeros + Ones unearthed a complex historical connection between women and machines). Part of why I think these ideas on gender and technology continue to interest us is that the future they envisioned hasn’t happened yet. Writing plays an interesting role in this issue; Haraway explicitly framed ‘cyborg writing’ as charting a path forward, saying that it’s “about the power to survive, not on the basis of original innocence, but on the basis of seizing the tools to mark the world that marked them as other.”
The Politics of the Anthropocene in a World After Neoliberalism
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The machine they built is hungry. As far back as 2016, Facebook’s engineers could brag that their creation ‘ingests trillions of data points every day’ and produces ‘more than 6 million predictions per second’. Undoubtedly Facebook’s prediction engines are even more potent now, making relentless conjectures about your brand loyalties, your cravings, the arc of your desires. The company’s core market is what the social psychologist Shoshana Zuboff describes as ‘prediction products’: guesses about the future, assembled from ever-deeper forays into our lives and minds, and sold on to someone who wants to manipulate that future.
Yet Facebook and its peers aren’t the only entities devoting massive resources towards understanding the mechanics of prediction. At precisely the same moment in which the idea of predictive control has risen to dominance within the corporate sphere, it’s also gained a remarkable following within cognitive science. According to an increasin