Ideas

Objectively Correct Lists

The Best Christmas Presents for the Music Fan You Don't Know All That Well

Look, we get it, buying stuff for relative strangers can be hard, so here's a few of the weirder things that musicians are selling this year.
Ryan Bassil
12.17.18
Work

Your Boss Should Pay You to Have More Fun at Work

Letting your mind roam, even during work hours, can lead to more creative ideas. A pay bump does the trick too.
Rick Paulas
5.22.18
Ideas

How to Cyberbully a Ghost Into Leaving Your House

“In the footage, the ghost’s terrifying expression quickly fades. It seems confused by Frank’s reaction, its black eyes squinting in perplexed disbelief.”
Becky Ferreira
10.20.17
psa

How to Pitch Motherboard

A brief guide to writing for Motherboard.
Motherboard Staff
5.22.17
Canada

No Country for Young Scientists

A crisis within Canada’s federal funding agency threatens to shut down labs and end careers.
Kate Lunau
4.7.16
machines

How Flickr Tags Can Reveal Entire Acoustic Atlases of Cities

Meet Chatty Maps.
Michael Byrne
4.6.16
history

100 Years After Einstein's Relativity, We're Still Just Figuring Gravity Out

The most apparent of forces is still far and away the most mysterious of them.
Michael Byrne
11.29.15
yoga

​Bikram Yoga Can’t Be Copyrighted. Neither Should APIs.

“Interoperability” isn’t quite the right word for why other yoga studies used the Bikram yoga Sequence, but the reasoning is similar.
Sarah Jeong
10.9.15
All Fronts

Weapons of Mass Persuasion

Online advertising has allowed governments and political entities to weaponize the marketplace of ideas. Is there anything we can do about it?
Tim Hwang
9.18.15
Art

What's the Deal with the Selfie Generation?

On selfies, Lacan, and the modern mirror stage.
Heidi Harrington-Johnson
8.25.15
Google

Google Tone Builds Data Networks from Coded Audio Signals

This is either a totally great idea or a terrible one.
Michael Byrne
5.20.15
philosophy

Welcome to Nick Bostrom's Paper-Clip Factory Dystopia

The AI doomsayer and philosopher sees risk in the most benign machine learning tasks.
Michael Byrne
5.3.15
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