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How Did You Know? - {day 3}

We're back with another 5-day trivia hunt!

To remind you of the rules: Every day this week, I'll be presenting a specific challenge. Your job: come up with the answers and hold onto them! Why? Because on Friday, you'll need them to solve a short puzzle. The first person to email in the correct answers and successfully show how you arrived at them (thus the title: How Did You Know?) wins a choice of any t-shirt and book from our store.

As with last month, we're also adding some special prizes this time around for those who come really close, but don't get all the answers in time. We've previously awarded some shirts and books to a couple contestants who impressed us with charts, diagrams, and other complex methods of recording and organizing the clues/answers. So we'll be on the lookout for the creative among you, as well. This is all to say: it pays to play whether you nab the grand prize or not. And remember, we're also giving away a really big, sa-weeet prize to any winning contestant who can defend the title three months in a row. Details on that as they develop, if they develop. (Chan Stevens is our current champion. You can read about him here.)

As with previous How Did You Know? posts, comments have been turned off, but I definitely encourage you to work in teams. Write your friends, send around each daily challenge, conspire, work together, whatever it takes to make sure you're armed with the right answers going into Friday's puzzle.

If you missed Day 1, check that out here. Meanwhile, Day 2 is right over here.

Today we're playing Name That Movie AND One of These Things is Not Like the Others. On each of the following pages there's a short movie clip. Your job: name the movies and then figure out why one is not like the others. (Sorry about the quality of the clips and the voice-sync problems, but there should be enough in each clip for you to ID them all.)

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New AI-Driven Music System Analyzes Tracks for Perfect Playlists
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Whether you're planning a bachelorette party or recovering from a breakup, a well-curated playlist makes all the difference. If you don't have time to pick the perfect songs manually, services that use the AI-driven system Sonic Style may be able to figure out exactly what you have in mind based on your request.

According to Fast Company, Sonic Style is the new music-categorizing service from the media and entertainment data provider Gracenote. There are plenty of music algorithms out there already, but Sonic Style works a little differently. Rather than listing the entire discography of a certain artist under a single genre, the AI analyzes individual tracks. It considers factors like the artist's typical genre and the era the song was recorded in, as well as qualities it can only learn through listening, like tempo and mood. Based on nearly 450 descriptors, it creates a super-accurate "style profile" of the track that makes it easier for listeners to find it when searching for the perfect song to fit an occasion.

Playlists that use data from Sonic Style feel like they were made by a person with a deep knowledge of music rather than a machine. That's thanks to the system's advanced neural network. It also recognizes artists that don't fit neatly into one genre, or that have evolved into a completely different music style over their careers. Any service—including music-streaming platforms and voice-activated assistants—that uses Gracenote's data will be able to take advantage of the new technology.

With AI at your disposal, all you have to do as the listener is decide on a style of music. Here are some ideas to get you started if you want a playlist for productivity.

[h/t Fast Company]

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