What Algorithms Want: Imagination in the Age of Computing - Ed Finn

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What Algorithms Want: Imagination in the Age of Computing - Ed Finn (Size: 246.66 MB)
  What Algorithms Want - 01.mp3 2.74 MB
  What Algorithms Want - 02.mp3 15.55 MB
  What Algorithms Want - 03.mp3 15.73 MB
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  What Algorithms Want - 10.mp3 6.52 MB
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  What Algorithms Want - 14.mp3 11.62 MB
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  What Algorithms Want - 20.mp3 3.62 MB
  What Algorithms Want - 21.mp3 3.64 MB
  What Algorithms Want - 22.mp3 3.32 MB
  What Algorithms Want - 23.mp3 9.08 MB
  What Algorithms Want.jpg?042148 60.21 KB
  What Algorithms Want.txt 1.73 KB
  ▲ 25 total files

Description




Category: Computer, Misc. Non-fiction
Language: English
Keywords: Artificial Intelligence Technology

Written by Ed Finn
Read by Scott Merriman
Format: MP3
Bitrate: 64 Kbps

We depend on — we believe in — algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It’s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations — the marriage vow, the shaman’s curse — do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm — in practical terms, “a method for solving a problem” — has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.

Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson’s Snow Crash to Diderot’s Encyclopedie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost’s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google’s goal of anticipating our questions, Uber’s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.

If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

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