Categories
Books Productivity & Work Tech

What do we read next?

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We suffer from the infinity of choice, to what type of books we’re interested in, all the way down to the format we want to read them in.

Amazon’s recommended book algorithms allay the frustration of making decisions by taking into account your past reads and what others have read to suggest what to consume next.

Algorithms (or recipes) therefore resolve two things: Indecision fatigue caused by the avalanche of choice and the wisdom of crowds.

Spotify Discover Weekly works the same way — after it gets to understand your habits and preferences it recommends prebuilt playlists to appease your taste.

Algorithms free up our brain space to do rather than toggle between the options. They are the antidote to the chaotic linear 21st-century feed.

The more time we spend consuming rather than selecting what’s next is time well spent. By outsourcing our digging, we create more time to learn.

Even the proactive tastemaker must yield to the occasional “if and then” statement to build on top of the symphony of algorithms. A remix is not always artistically lesser than its origins.

In an increasingly algorithmic world, there can still be an element of human touch to prove we’re not headed toward complete thoughtlessness after all.

The Recommender

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By Wells Baum

Wells Baum is a daily blogger who writes about Life & Arts. He's also the author of four books.