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Still on 2023 and Political masquerades, By Dakuku Peterside
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2023: Beware ye masquerade watchers
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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
Thinking about Machines and Thinking
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In Paris. Exactly Seventy Years Ago.
He likely arrived in Paris from Darmstadt, Germany, by train that January, exactly seventy years ago. At 53, and a full professor of applied mathematics and the founding director of the Institut für Praktische Mathematik at the Technische Hochschule Darmstadt, Alwin Walther was among Germany’s leading figures in computation. The calculational prowess of Walther and his Institut–employing all manner of manual, mechanical, and electromechanical approaches–had attracted the attention, and the support, of the Nazi regime during the Second World War. But as Walther made his way to the academic heart of liberated Paris, the Latin Quarter, few passersby would have guessed at this background.
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