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The Late Movies: What Song Are You Listening To? (London, Copenhagen, Singapore, Lisbon, Philadelphia)

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Two weeks ago, I pointed to a street video from New York, in which filmmaker Ty Cullen asked passersby who wore headphones "Hey, what song are you listening to?" Commenters asked for more versions of the video from different cities, and I'm glad to oblige -- other filmmakers around the world have followed suit and posted the results. Below are similar videos from London, Copenhagen, Singapore, Lisbon, and Philadelphia. If you know of other videos, leave links in the comments!

London

Tracklist and more after the jump.

Tracklist:

1. ABBA - Money Money Money
2. Coldplay - Cemetaries of London
3. The Clash - Rock the Casbah
4. Common - Play Your Cards Right
5. Podcast Tour of London
6. The Bravery - An Honest Mistake
7. Corrine Baily Ray - Seasons Change
8. Vangelis - Conquest of Paradise
9. Nadia Ali - Fine Print
10. Plastician - Japan
11. Rihanna - Disturbia
12. Beirut - Elephant Gun
13. Burial - Endorphin
14. Nine Inch Nails - Deep
15. Gospel Choir - You are Worthy of My Praise
16. Jimi Hendrix - Purple Haze
17. Danny Byrd - Ill Behaviour
18. Bruce Springsteen - Down to the River
19. Podcast Japanese 101
20. Katy Perry - Teenage Dream
21. Jay Z - Jigga that N***a
22. Disney's The Jungle Book - I Wanna Be Like You
23. Jessie J - Price Tag
24. Bonobo - Kota
25. Lady Gaga - Highway Unicorn
26. Vybz Kartel - All Out
27. Travis - Love Will Come Through
28. Black Eyed Peas - That's the Joint
29. Drake - Sooner Than Later
30. Fleet Foxes - The Shrine / An Argument
31. Kings of Convenience - I Don't Know What I Can Save You From

Copenhagen

Tracklist:

1. Charles Wright & The Watts 103rd Street Rythm Band - Express Yourself
2. Kanye West - All The Lights
3. Seeed - What You Deserve Is What You Get
4. Brandy - Another Day In Paradise
5. Alexandra Stan - Mr Saxo Beat
6. Nelly - Ride Wit Me
7. Adele - Rolling In The Deep
8. Pet Shop Boys - New York City Boy
9. Taio Cruz - Dynamite
10. Foo Fighters - These Days
11. The White Stripes - I'm Finding It Harder To Be A Gentleman
12. Nina Hagen - Unbeschriblich Weiblich
13. Anna David - Tæt På
14. The Beatles - Lady Madonna
15. Repo Men OST - 54-46 Was My Number (Toots & The Maytals)
16. Low - I See Everything
17. Yann Tiersen - Amelie Theme
18. Dire Straits - Single-Handed Sailor
19. U$O - Momentet
20. Gavin McGraw - She Holds The Keys
21. Elbow - One Day Like This
22. Ben Harper - In The Colors

Singapore

Tracklist:

Black & Yellow - Wiz Khalifa
Hot N Cold - Katy Perry
I'm Yours - Jason Mraz
Are You Gonna Be My Girl - Jet
The Beautiful People - Marilyn Manson
Image Of The Invisible - Thrice
The Con - Tegan & Sara
Common Dreads - Enter Shikari
Hello - Porter Robinson
Run Pig Run - Queens Of The Stone Age
Mirrors - Natalia Kills
Love The Way You Lie - Eminem feat. Rihanna
Give Me Everything(Tonight) - Pitbull
I'm Not A Human Being - Lil' Wayne
Bahnhof Rumble - The Chemical Brothers
Swagga - Excision
Nobody's Perfect - Jessie J
??? - ????? - Jay Chou
Can't Nobody - 2NE1

Lisbon

Tracklist:

Lady Gaga - The edge of Glory
Jay Z - 99 Problems
Lil Wayne - Bring it Back
Paolo Nutini - Candy
Kesha - Blow
Aloe Blacc - I need a dollar
Bob Marley - One love
Saphira - Shout in the night
Zeca Afonso - cantar alentejano
Akon - Dont Matter
Lady Gaga - Born this way
Within Temptation - Ice queen
Mac Miller - Nikes on my Feet
Dream Theater - The Dark Eternal Night In-Studio
Best Coast - I want You
Seu jorge - Mina do condominio

Philadelphia

Tracklist:

1. Kanye West - All Falls Down
2 Journey - Don't Stop Believin'
3. Breaking Benjamin - I Will Not Bow
4. Above and Beyond - On a Good Day
5. Kindred the Family Soul - Where Would I Be
6. Balkan Beat Box - Sunday Arak
7. Foals - Total Life Forever
8. Ariel Pink - Gettn High in the Mornin
9. Knaan - Bang Bang
10. Mumford and Sons - WinterWinds
11. Chris Brown - Oh My Love
12. Marc Anthony - El Cantante
13. Wale - Chillin
14. Arcade Fire - The Suburbs
15. Yo Gotti - Look In The Mirror
16. MFSB - The Sound of Philadelphia
17. Van Morrison - Tupelo Honey
18. DJ Fresh - Gold Dust
19. ColdPlay - In My Place
20. Clap Your Hands Say Yeah - Satan Said Dance
21. Phil Collins - In The Air Tonight
22. Gwen Stefani - What You Waiting For
23. Franz Ferdinand - Take Me Out
24. New Villager - Genghis On
25. Rihanna - Whats My Name
26. Depeche Mode - Everything Counts
27. Kenny Chesney - Who You'd Be Today
28. Rick Ross - Aston Martin Music
29. Broken Social Scene - All Hooked Up
30. Jackie Ross - Jerk and Twine

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iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Sponsor Content: BarkBox
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8 Common Dog Behaviors, Decoded
May 25, 2017
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iStock

Dogs are a lot more complicated than we give them credit for. As a result, sometimes things get lost in translation. We’ve yet to invent a dog-to-English translator, but there are certain behaviors you can learn to read in order to better understand what your dog is trying to tell you. The more tuned-in you are to your dog’s emotions, the better you’ll be able to respond—whether that means giving her some space or welcoming a wet, slobbery kiss. 

1. What you’ll see: Your dog is standing with his legs and body relaxed and tail low. His ears are up, but not pointed forward. His mouth is slightly open, he’s panting lightly, and his tongue is loose. His eyes? Soft or maybe slightly squinty from getting his smile on.

What it means: “Hey there, friend!” Your pup is in a calm, relaxed state. He’s open to mingling, which means you can feel comfortable letting friends say hi.

2. What you’ll see: Your dog is standing with her body leaning forward. Her ears are erect and angled forward—or have at least perked up if they’re floppy—and her mouth is closed. Her tail might be sticking out horizontally or sticking straight up and wagging slightly.

What it means: “Hark! Who goes there?!” Something caught your pup’s attention and now she’s on high alert, trying to discern whether or not the person, animal, or situation is a threat. She’ll likely stay on guard until she feels safe or becomes distracted.

3. What you’ll see: Your dog is standing, leaning slightly forward. His body and legs are tense, and his hackles—those hairs along his back and neck—are raised. His tail is stiff and twitching, not swooping playfully. His mouth is open, teeth are exposed, and he may be snarling, snapping, or barking excessively.

What it means: “Don’t mess with me!” This dog is asserting his social dominance and letting others know that he might attack if they don’t defer accordingly. A dog in this stance could be either offensively aggressive or defensively aggressive. If you encounter a dog in this state, play it safe and back away slowly without making eye contact.

4. What you’ll see: As another dog approaches, your dog lies down on his back with his tail tucked in between his legs. His paws are tucked in too, his ears are flat, and he isn’t making direct eye contact with the other dog standing over him.

What it means: “I come in peace!” Your pooch is displaying signs of submission to a more dominant dog, conveying total surrender to avoid physical confrontation. Other, less obvious, signs of submission include ears that are flattened back against the head, an avoidance of eye contact, a tongue flick, and bared teeth. Yup—a dog might bare his teeth while still being submissive, but they’ll likely be clenched together, the lips opened horizontally rather than curled up to show the front canines. A submissive dog will also slink backward or inward rather than forward, which would indicate more aggressive behavior.

5. What you’ll see: Your dog is crouching with her back hunched, tail tucked, and the corner of her mouth pulled back with lips slightly curled. Her shoulders, or hackles, are raised and her ears are flattened. She’s avoiding eye contact.

What it means: “I’m scared, but will fight you if I have to.” This dog’s fight or flight instincts have been activated. It’s best to keep your distance from a dog in this emotional state because she could attack if she feels cornered.

6. What you’ll see: You’re staring at your dog, holding eye contact. Your dog looks away from you, tentatively looks back, then looks away again. After some time, he licks his chops and yawns.

What it means: “I don’t know what’s going on and it’s weirding me out.” Your dog doesn’t know what to make of the situation, but rather than nipping or barking, he’ll stick to behaviors he knows are OK, like yawning, licking his chops, or shaking as if he’s wet. You’ll want to intervene by removing whatever it is causing him discomfort—such as an overly grabby child—and giving him some space to relax.

7. What you’ll see: Your dog has her front paws bent and lowered onto the ground with her rear in the air. Her body is relaxed, loose, and wiggly, and her tail is up and wagging from side to side. She might also let out a high-pitched or impatient bark.

What it means: “What’s the hold up? Let’s play!” This classic stance, known to dog trainers and behaviorists as “the play bow,” is a sign she’s ready to let the good times roll. Get ready for a round of fetch or tug of war, or for a good long outing at the dog park.

8. What you’ll see: You’ve just gotten home from work and your dog rushes over. He can’t stop wiggling his backside, and he may even lower himself into a giant stretch, like he’s doing yoga.

What it means: “OhmygoshImsohappytoseeyou I love you so much you’re my best friend foreverandeverandever!!!!” This one’s easy: Your pup is overjoyed his BFF is back. That big stretch is something dogs don’t pull out for just anyone; they save that for the people they truly love. Show him you feel the same way with a good belly rub and a handful of his favorite treats.

The best way to say “I love you” in dog? A monthly subscription to BarkBox. Your favorite pup will get a package filled with treats, toys, and other good stuff (and in return, you’ll probably get lots of sloppy kisses). Visit BarkBox to learn more.

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