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Aug 12

The Algorithm for Fun Algorithms

The latest recommendations from across the web highlight particularly insightful reads, beginning with Lauren Leek's essay, which has become a focal p

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Originally reported bytheverge

The latest recommendations from across the web highlight particularly insightful reads, beginning with Lauren Leek's essay, which has become a focal point of discussion among technology and culture commentators. This widely acclaimed piece delves into the algorithmic flattening of cities, culture, and various facets of modern life, proving every bit as compelling as its reputation suggests. Beyond its sharp analysis, the essay presents a surprisingly straightforward approach to addressing the issue, prompting a deeper investigation into the machine learning framework known as multi-armed bandits.

A central tenet of Leek's argument critically assesses common responses to algorithmic influence: "[J]ust be a more adventurous consumer” is exactly the conclusion that lets the systems off the hook. The exploration has to be mandated at the level of the machine, because that’s where real change can happen.

Readers can find Lauren Leek’s full analysis on her dedicated data Substack platform.

#AI News#Lauren Leek#Algorithmic flattening#Multi-armed bandits#Machine learning
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