#samurai pizza cats band
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Samurai Pizza Cats are both a band and a cartoon
#art#samurai pizza cats#samurai pizza cats band#furry#sebastian fischer#daniel haniß#danskimo#stefan buchwald#stefan reufer#nico sallach#electric callboy#pineapple
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#by danskimo#danskimo#samurai pizza cats#spc#shipworthy#band#david#pascal#daniel#stefan buchwald#stefan reufer#sebastian#nico#post
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Okay, Dan Encyclopedia, I need a complete rundown of his history pls 😍
Ohhhh that’s a tall order!
Thank your for trusting me with your Daniel Knowledge ™
(I also assume it’s about Danskimo and not DanK)
I think I’ll do general facts it will be easier. Also it’s all stuff I’ve read or seen but i don’t always remember the source:
- he learned to play the sax in school and DanK would go see him play
- speaking of, they’ve known each other since 2006!
- he produces music outside of EC, including Nico’s ex band, Samurai Pizza Cat and Kalle Koschinsky
- he also had a very shortlived, one time project that made the round on Tumblr a few days ago, risen from shadow. It’s a ‘black metal’ looking band with members of EC (him and nico), we butter the bread with butter, Axel one and drummer Raja Meissner. They wanted to bring awareness to type 2 diabetes.
- which personally i find kinda funny because he’s known for having a sweet tooth (the video of the cake alley in Walmart was hilarious)
- he might be more reserved than the others but he’s not scared of speaking up, like in the interview where he told Sushi ‘just because we are in a band doesn’t mean we are family’
- his dad is the band’s biggest fan per the rest of the band, and his ig is only pictures of Dan / the band / repping the merch
- I saw Some people say he is vegetarian and straight edge but there’s recent videos / vlogs where he drinks a beer and eats McDonalds so either he’s not anymore / has never been 🤷🏽♀️
- he’s a gamer, if his knuckle tattoos weren’t clear enough (GAME OVER and pac mans on the smallest ones)
- Speaking of tattoo, one of the tattoo inside his hand is an origami cat (which is such a cute idea i might have to steal once my cat dies in a million year)
- He’s really into mountain bike. Like, really. A lot.
- he’s an Aries. Enough said.
- he’s really reserved, i mean, he literally deleted the shirtless picture he had posted when they were in LA… or he’s not used to have people focused on him rather than nico / kevin.
I CANT think of more facts right now but I’ll add if there is the need for it 😄
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About me
Pronouns: He/him
Birthday: November 28, 1998
Ethnicity: Caucasian
Religion: Atheist
Zodiac sign: ♐
Gender: Male
Height: 5’7
Foot size: 10.5
Favorite animal: Cats, birds, sheep, turtles
Favorite food: Pizza, Chinese food, Mexican food, burgers, fries, mac and cheese, steak, chicken cutlets, swedish meatballs, goulash, pork chops, chicken fettuccine alfredo, waffles, pancakes, cornbread, poached eggs, sushi
Favorite fruit: Strawberries, apples, grapes, cherries, pineapples, kiwis, mangos, melons and bananas
Favorite drink: Coke, chocolate milk, lemonade, apple cider, tea, root beer and hot cocoa.
Favorite brand of cig: I despise cigarettes.
Favorite color: Purple
Favorite band: Queen, Pink Floyd, Nirvana, Pearl Jam, Soundgarden, Fleetwood Mac, Oasis, The Beatles, AC/DC, Green Day, Yes, Red Hot Chili Peppers, Metallica, Cheap Trick, The Who, Mother Love Bone, The Animals, Rage Against the Machine, Anthrax, Def Leppard, Iron Maiden, Megadeth, Judas Priest, Black Sabbath, DMX, A Tribe Called Quest, The Beach Boys, The Velvet Underground, blink-182, The Doors, The Allman Brothers Band, Motley Crue.
Favorite cartoon: Avatar: The Last Airbender, The Owl House, Gravity Falls, The Simpsons, Looney Tunes, Tex Avery cartoons, Hilda, Classic Disney shorts, Rocky and Bullwinkle, Popeye, Walter Lantz cartoons, The Amazing World of Gumball, Hi Hi Puffy AmiYumi, Batman: TAS, Ed Edd n Eddy, Foster's Home for Imaginary Friends, OK KO, Powerpuff Girls '98, Samurai Jack, Megas XLR, My Little Pony: Friendship is Magic, Futurama, Wander Over Yonder, King of the Hill, Amphibia, Beavis and Butt-Head, Dan vs, Gargoyles, Freakazoid, The Critic, Invader Zim, Teen Titans, Phineas and Ferb, Mission Hill, Time Squad, DuckTales/Darkwing Duck, Batman Beyond, Rocko's Modern Life, Angry Beavers, Kablam, Tiny Toon Adventures, Home Movies, ATHF, Animaniacs/Pinky and the Brain, Regular Show, Hey Arnold, Bojack Horseman, The Boondocks, The Ghost and Molly McGee, Clerks: TAS, Courage the Cowardly Dog, SWAT Kats, Top Cat, Superman: TAS, Celebrity Deathmatch, Kim Possible, Dave the Barbarian, South Park, Harvey Birdman, The Pink Panther, The Venture Bros.
Favorite movie: Gojira, Into the Spider-verse, Who Framed Roger Rabbit, Aladdin '92, Hayao Miyazaki movies, The Nightmare Before Christmas, Batman '89, Ed Wood, Mel Brooks movies, Fantastic Mr. Fox, The Big Lebowski, Akira, Quentin Tarantino movies, the classic Universal monster movies, Yellow Submarine, Dead Poet's Society, A Hard Day's Night, Monty Python movies, What's Eating Gilbert Grape, Laurel and Hardy movies, Marx Brothers movies, The Book of Life, The LEGO Movie, The Lord of the Rings trilogy, Edgar Wright's Three Flavours Cornetto trilogy, Die Hard 1-3, Guardians of the Galaxy, Robocop, Kevin Smith movies, Corpse Bride, Halloween '78, Alfred Hitchcock movies, Labyrinth, The Dark Crystal, An American Tail, The Simpsons Movie, Willy Wonka, The Crow, The Mask, Suspiria '77, The Monster Squad, Kung Fu Panda 1-3, The Room, David Lynch movies, Wes Craven movies, Coraline, Babe, The Rocky Horror Picture Show, Beetlejuice, Dazed and Confused, Inherit the Wind, Office Space, How to Train Your Dragon, Ernest and Celestine, Napoleon Dynamite, Liar Liar, Bruce Almighty, Kubo and the Two-Strings, ParaNorman, Coco, Frankenweenie, School of Rock, The Incredibles, Inside Out.
Favorite game: Banjo-Kazooie, Any Mario game, Animal Crossing, Legend of Zelda, Sonic 1-3, Any Kirby game, Pokemon Stadium 1&2, Spyro, Yooka-Laylee, Crash Bandicoot, Cuphead, the Kingdom Hearts series, The Simpsons: Hit & Run
Influence: Hayao Miyazaki, Wes Anderson, Matt Groening, Mike Judge, Dana Terrace, Tex Avery, Glen Keane, Eric Goldberg, Chuck Jones, Alfred Hitchcock, Edgar Wright, Wes Craven, Stephen Silver, Bruce W. Smith, Alex Hirsch, JG Quintel, Dan Povenmire, Jeff "Swampy" Marsh, Joe Murray, Craig Bartlett, Trey Parker, Matt Stone, Craig McCracken, Lauren Faust, Matt Braly, John R. Dilworth, Mo Willems, Bob Clamlett, Max Fleischer, Walter Lantz, Don Bluth, Henry Selick, Genndy Tartokovsky, Rob Renzetti, Loren Bouchard, Bill Oakley, Josh Weinstein
Motto: “If you can dream it, do it!”
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Media / Fandoms that I am hyperfixated about until the sun explodes (yes, really):
Music/Bands:
Gorillaz
Lemon Demon
Vocaloid
Your Favorite Martian
Tally Hall
Daft Punk
Subwoofler
KMFDM
My Chemical Romance
KC & the Sunshine Band
Prince
Michael Jackson
Public Enemy
Heart
Blondie
Tv shows/movies/web series:
( hyperfixations are highlighted in blue )
Eddsworld
My Little Pony
Digimon
Final Space
Regular Show
Adventure Time + Fionna & Cake
Spooky Month
The Amazing World of Gumball
Steven Universe
Spongebob Squarepants
The Amazing Digital Circus
The Fairly Oddparents
Danny Phantom
Star Wars
Star Trek
Invincible
Good Omens
Moomin
Marvel
DC
Teen Titans (original 2003 series)
TMNT
Codename: Kids Next Door
The Grim Aventures of Billy & Mandy
Rankin Bass
Invader Zim
Dexter's Laboratory
Scooby-Doo
Foster's Home for Imaginary Friends
Courage the Cowardly Dog
Ghostbusters
Indiana Jones
Men In Black
Back To The Future
Avatar: The Last Airbender
Family Guy
The Simpsons
Aqua Teen Hunger Force
Smiling Friends
Inside Job
Stranger Things
Samurai Jack
Bojack Horseman
The Mindnight Gospel
Happy Tree Friends
Randy Cunningham 9th Grade Ninja
Fanboy and Chum Chum
Glitch Techs
Mao Mao: Heroes of Pure Heart
Wander Over Yonder
Gravity Falls
Phineas and Ferb
The Owl House
Amphibia
Ed Edd n' Eddy
Ninjago
Lego Monkie Kid
Legends of Chima
Over The Garden Wall
Craig of the Creek
Centuarworld
Don't Hug Me I'm Scared
Breaking Bad
The Office
It's Always Sunny in Philadelphia
Doctor Who
Seinfeld
Encanto
Coco
Wreck It Ralph
Shrek
Over The Hedge
Half Life but the ai is self aware
Khonjin House + Supermental
Rick and Morty
Ballmastrz: 9009
Superjail
Homestuck
Video Games:
( hyperfixations are highlighted in blue )
Pokemon
Sonic The Hedgehog
Cuphead
Five Nights At Freddys
Pizza Tower
Ace Attorney
Mario series
Mega Man series
Kirby series
Super Smash Bros
Resident Evil series
Half Life series
Crash Bandicoot
Sypro The Dragon
Undertale + Deltarune
Team Fortress 2
Fallout series
Bioshock series
Persona series
Ryu ga Gotoku (Yakuza)
A Hat In Time
No Straight Roads
Cookie Run
Jet Set Radio
Anime:
( hyperfixations are highlighted in blue )
Dragon Ball (DB/DBZ/DBGT/DBS)
Jojo's Bizzare Adventure
Beastars
One Piece
MHA
Demon Slayer
Naruto
Soul Eater
Cowboy Bebop
Lupin the Third
Detective Conan
Sailor Moon
Yu-Gi-Oh (original series and GX)
Death Note
Fairy Tale
Bleach
Fullmetal Alchemist
Neon Genesis Evangelion
Berserk
Kill La Kill
Devilman
Inuyasha
Blue Exorcist
Black Butler
Spirited Away
Howl's Moving Castle
Other interests:
Hello Kitty + all things Saniro
Warrior Cats
Dinosaurs
Dogs
Hamsters
Possums
Reptiles
Kidcore / Nostalgiacore
Sparklecore
Halloween decorations + spooky stuff
Cottagecore
Vaporeavecore / Retrowavecore / Neoncore
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LUCILLE
First Appearance: Unofficially - Year 22 Celebration #2
Dimension: Prime AkumaVerse
Allegiance: Civilian
Lucille was your average citizen of Little Tokyo. She owned a tea shop, had people interested in a relationship and when overly emotional launched missiles randomly. She even has an older brother who is a Sushi Chef. Still, she was very sociable and very popular. She was even a member of the Pointless Sisters Girl Band alongside Polly. Things were fun for her despite the danger.
But that changed when a Mega Corporation took over Little Tokyo. While it was much safer, it just wasn’t as fun as it used to be. So Lucille kind of got bored now that the Pizza Cats have moved to another city in another country. She even missed how Speedy and Guido fought over her (though she knew Speedy was meant for Polly). She swears one day, she’s going to move out of Little Tokyo and go follow them in St. Canard.
Sprite Credit
Current Version by AkumaTh
Fun Facts:
Lucille is the first new Samurai Pizza Cat I made that wasn't a remake of a previous version.
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About the women / collabs thing
The band Samurai Pizza Cats (German, but they ding in English / theyre adjacent to Electric Callboy) had a majority of women featurings on their first albums (VS one man) and it’s so good! If you like heavy stuff I can’t suggest them enough!
(And this has nothing to do with me wanting to go back to Germany to see them, I swear)
🖤
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Get to know me tag!
@cyrraluu tagged us! I got here first. (Dani)
Rules: Always post the rules. Tag 11 new people you’d like to know better!
1. Dogs or Cats?
Cats times ten million billion. Dogs smell bad and drool.
These are my babies. Fisher the himbo (named after space mom Carrie Fisher) on the left, and crooked head Vala (after the SG-1 character) on the right.
2. YouTube celebrities or normal celebrities?
This is a pretty arbitrary distinction. I don’t follow many people on Youtube though, so uh, “normal.”
3. If you could live anywhere where would that be?
I’m plotting to move to northern Ontario!!
4. Disney or DreamWorks?
Disney.
5. Favorite childhood TV show?
Samurai Pizza Cats.
6. The movie you’re looking forward to most in 2020?
BIRDS OF PREY
7. Favorite book you read in 2019?
The Broken Earth trilogy by N.K. Jemisin made me feel sooo many feelings and it was amazing.
8. Marvel or DC?
I’m a DC fan at heart, but the Marvel movies are generally better.
9. If you choose Marvel favorite member of the X-Men? If you choose DC favorite Justice League member?
Hawkgirl!! OG Shayera Hol, especially as she appears in the JLU cartoon.
10. Night or Day?
NIGHT I wish I could be awake til 4am every day.
11. Favorite Pokemon?
Meowstic.
12. Top 5 bands/artists:
1. Janelle Monae
2. The Killers
3. Fiona Apple
4. Alanis Morissette
5. MARINA
13. Top 10 books
In no particular order except that in which I remembered them.
1. The Dark Tower series by Stephen King
2. The Broken Earth trilogy by N.K. Jemisin
3. His Dark Materials by Phillip Pullman
4. Saga by Brian K. Vaughan
5. The Snow Queen by Joan D. Vinge
6. The Catspaw trilogy by Joan D. Vinge
7. The Amberlough Dossier by Lara Elena Donnelly
8. The Elemental Logic series by Laurie J. Marks
9. The Cats of Seroster by Robert Westall (childhood #1 fav book that I will never stop loving)
10. I wouldn’t describe them as “favourite books” anymore, but the Harry Potter series shaped so much of my life and have granted me some of my most incredible and enduring friendships so I have to credit them for that.
14. Top 4 movies
1. Hanna (Joe Wright, 2011)
2. Peking Opera Blues (Tsui Hark, 1986)
3. Lord of the Rings (Peter Jackson, 2001-2003)
4. Lady Oscar (Jacques Demy, 1979)
15. America or Europe?
Europe pls
16. Tumblr or Twitter?
Tumblr.
17. Favorite vacation destination?
Of all the places I’ve been, New York City is my favourite. I like to go places, wander around, and eat food.
18. Favorite YouTuber?
Samantha Ravndahl.
19. Favorite author?
This changes depending on what I’ve read recently... This year it’s N.K. Jemisin.
20. Tea or Coffee?
I keep trying to kick my coffee habit. I don’t even like how it tastes most of the time. Tea!!
21. OTP?
Every single one of my ships with R... especially TDxCianna. ^3^
22. Do you play an instrument/sing?
Not “for real” but I love to sing!!!
Tagging: You if you’re reading this, I’m tired
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Friday got to see a few local bands at Mr. Beery's, cool place and a sweet show! I think the best description would be that it was bananas.
Some friends were in a ska band (Samurai Pizza Cats), high energy and a fun performance, really good stuff!
Got to see this punk band I was vaguely aware of before (Bad Mary) who were great! Would definitely go and see them again, which I might since they're apparently doing a residency at this place of a show a month for their 10th anniversary. They also had some Zelda playthrough being projected behind them which was cool, especially since it was the 34th anniversary of the originals release.
The last band was delightfully weird (The Proletarians), they literally tossed bananas to the audience, in a bar. They also had Bananas in Pajamas being projected behind them the entire show, it was Something especially since their music seemed more akin to Les Claypool and Primus.
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Get to know me ... or something.
1. Dogs or Cats?
This question is an eternal battle. I love both. I’ve owned both. I love their individual quirks. I love when cats lay in my lap - I love when dogs try. I love taking dogs out for runs - I love using silly toys to play with cats. I love when my pets get along. I’m not ever sure I could just have one or the other. I love them both.
2. YouTube celebrities or normal celebrities?
Why do I care? I follow a few here and there, but I’m barely on the social medias as it is.
3. If you could live anywhere where would that be?
In or near a forest with mountains or large hills nearby, also along large, grassy plains. For these are the most peaceful/wild places in my mind.
4. Disney or DreamWorks?
I always forget that these are not one and the same. They have both put out some really quality entertainment. I can’t say at this time.
5. Favourite childhood TV show?
Yikes. I can only remember so much from my childhood. Uhh ... Scooby-Doo was always A+ on the Saturday mornings. Basically every Saturday morning cartoon. SWAT Kats was primo when I was a little older. I loved G Gundam and Rurouni Kenshin as I continued to age.
6. The movie you’re looking forward to most in 2020
I don’t even know what’s even coming out next year. I don’t keep up with movies that much.
7. Favorite book you read in 2019?
I don’t think I even started a book. I remember purchasing one and it was a Western.
8. Marvel or DC?
Marvel, but probably only because it’s been more popular lately. I grew up watching both.
9. If you choose Marvel favorite member of the X-Men? If you choose DC favourite Justice League member?
Look, look, look. It’s always been Wolverine, but I always had a soft spot for Nightcrawler. As for DC - it’s always been Batman.
10. Night or Day?
I used to say Night, but at some point ... you start to actually miss the Sun. You can’t survive without both. I operate during both times.
11. Favorite Pokemon?
I’m assuming overall - which is always #1 in the National Dex, #1 in your heart - Bulbasaur.
12. Top 5 bands:
Hmm ... you says bands, but I assume single artists also apply ... and in no particular order -
Two Steps from Hell
Garth Brooks
AC/DC
Beach Boys
Journey
13. Top 10 books.
The Art of Racing in the Rain
The Hobbit
The Lord of the Rings (does this count as 3?)
There was another I can’t think of, but it was another collection of 3 books in one part of the Dragonlance series, but after that ... I’m out of books that really deserve a top 10 spot.
14. Top 4 movies
The Last Samurai
Memoirs of a Geisha
The Empire Strikes Back
Tangled
15. America or Europe?
I haven’t been to Europe yet, and using “America” - I’m assuming it means just the United States and not all 3 Americas (North, Central, South). Poorly defined questions are the worst. But seeing as how I’ve not been anywhere in Europe - the old U.S. of A is my choice.
16. Tumblr or Twitter?
I do more on Tumblr than Twitter
17. Pro-choice or Pro-life?
Pro-choice - it took me a long time to get to that decision. Many, many years. It’s a long story.
18. Favorite YouTuber?
Neebs Gaming is probably the only one I’ve consistently watched for years now.
19. Favorite author?
Yikes. I’m stuck between Tolkien and Louis L’amour.
20. Tea or Coffee?
Tea, hands down. Coffee is disgusting. I love the smell. Hate the flavor.
21. OTP?
You silly people and your OTPs. Pineapple and Pizza. >_> Kekekeke ....
22. Do you play an instrument/sing?
I sing, I play trumpet, I dabble in piano, guitar, and percussion. I could be a one man band if I wanted to do so.
Tagged by: @wanderlust-spirits & @yuki-yukichan
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Here are my first designs of the characters.
Robyn Esther-Cerviche: Leader of the Samurai Pizza Cats. Daughter of Speedy Cerviche and Polly Esther. She is a Tokusatsu fan, who always wanted to part of a hero team. Robyn is a goofball who wants to do the right thing.
Gwen Anchovy: Daughter of Guido Anchovy and Lucille. She is a rebellious teen who is against the current empire. Gwen is also the head of the punk rock band Fugu.
Justin O’ Tool: Son of Meowzma O’ Tool. He is a cool skateboarder who recently moved to Little Tokyo due to his parents transferring their business. Deep down, Justin is still the same nerdy kid from before.
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Three things you like about each Daniel. Go.
Ohhhhhh.
Daniel K.:
1. He embraces the cringe ™ and we should all
2. He went to university and we love men with a back up plan
3. I just love love LOVE bassists in general. And his personality in the vlogs (it shines through when it’s not concentrated on the two himbos fronting the band)
Daniel H.
1. The passion. He works with so many bands, you got to love music to work so much.
2. The protective side for his friends / bandmates.
3. That ass. His personality. The Samurai Pizza Cats vlog had so much Dan, we could see more of him and he’s so funny. Beware of the silent guy 😅
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A neural network designs Halloween costumes
It’s hard to come up with ideas for Halloween costumes, especially when it seems like all the good ones are taken. And don’t you hate showing up at a party only to discover that there’s *another* pajama cardinalfish?
I train neural networks, a type of machine learning algorithm, to write humor by giving them datasets that they have to teach themselves to mimic. They can sometimes do a surprisingly good job, coming up with a metal band called Chaosrug, a craft beer called Yamquak and another called The Fine Stranger (which now exists!), and a My Little Pony called Blue Cuss.
So, I wanted to find out if a neural network could help invent Halloween costumes. I couldn’t find a big enough dataset, so I crowdsourced it by asking readers to list awesome Halloween costumes. I got over 4,500 submissions.
The most popular submitted costumes are the classics (42 witches, 32 ghosts, 30 pirates, 22 Batmans, 21 cats (30 incl sexy cats), 19 vampires, and 17 each of pumpkins and sexy nurses). There are about 300 costumes with “sexy” in their names; some of the most eyebrow-raising include sexy anglerfish, sexy Dumbledore, sexy golden pheasant, sexy eyeball, sexy Mothra, Sexy poop emoji, Sexy Darth Vader, Sexy Ben Franklin, Sexy TARDIS, Sexy Cookie Monster, and Sexy DVORAK keyboard. In the “technical challenge” department, we have costumes like Invisible Pink Unicorn, Whale-frog, Glow Cloud, Lake Michigan, Toaster Oven, and Garnet.
All this is to say that humans are very creative, and this task was going to be tricky for a neural network. The sensible approach would be to try to use a neural network that actually knows what the words mean - there are such things, trained by reading, for example, all of Google News and figuring out which words are used in similar ways.There’s a fun demo of this here. It doesn’t have an entry for “Sexy_Gandalf” but for “sexy” it suggests “saucy” and “sassy”, and for “Gandalf” it suggests “Frodo”, “Gollum”, and “Voldemort”, so you could use this approach to go from “Sexy Gandalf” to “Sassy Voldemort”.
I wanted something a bit weirder. So, I used a neural network that learns words from scratch, letter by letter, with no knowledge of their meaning, an open-source char-rnn neural network written in Torch. I simply dumped the 4500 Halloween costumes on it, and told the neural network to figure it out.
Early in the training process, I decided to check in to see how it was doing.
Sexy sexy Dombie Sexy Cat
Sexy A stare Rowan
Sexy RoR A the Rog
Sexy Cot
Sexy Purbie Lampire
Poth Rat
Sexy Por Man
The Wombue
Pombie Con A A Cat
The Ran Spean Sexy Sexy Pon Sexy Dander
Sexy Cat
The Gull Wot
Sexy Pot
Hot
In retrospect, I should have expected this. With a dataset this varied, the words the neural network learns first are the most common ones.
I checked in a little later, and things had improved somewhat. (Omitted: numerous repetitions of “sexy nurse”). Still the only thing that makes sense is the word Sexy.
Sexy The Carding Ging
Farbat of the Cower
Sexy The Hirler
A costume
Sexy Menus
Sexy Sure
Frankenstein’s Denter
A cardian of the Pirate
Ging butter
Sexy the Girl Pirate
By the time I checked on the neural network again, it was not only better, but astoundingly good. I hadn’t expected this. But the neural network had found its niche: costume mashups. These are actually comprehensible, if a bit hard to explain:
Punk Tree
Disco Monster
Spartan Gandalf
Starfleet Shark
A masked box
Martian Devil
Panda Clam
Potato man
Shark Cow
Space Batman
The shark knight
Snape Scarecrow
Gandalf the Good Witch
Professor Panda
Strawberry shark
Vampire big bird
Samurai Angel
lady Garbage
Pirate firefighter
Fairy Batman
Other costumes were still a bit more random.
Aldonald the Goddess of the Chicken
Celery Blue Frankenstein
Dancing Bellyfish
Dragon of Liberty
A shark princess
Statue of Witch
Cupcake pants
Bird Scientist
Giant Two butter
The Twin Spider Mermaid
The Game of Nightmare Lightbare
Share Bat
The Rocky Monster
Mario lander
Spork Sand
Statue of pizza
The Spiding hood
A card Convention
Sailor Potter
Shower Witch
The Little Pond
Spice of pokeman
Bill of Liberty
A spock
Count Drunk Doll of Princess
Petty fairy
Pumpkin picard
Statue of the Spice of the underworker
It still was fond of using made-up words, though. You’d be the only one at the party dressed as whatever these are.
Sparra
A masked scorby-babbersy
Scormboor
Magic an of the foand tood-computer
A barban
The Gumbkin
Scorbs Monster
A cat loory Duck
The Barboon
Flatue doctor
Sparrow Plapper
Grankenstein
The Spongebog
Minional marty clown
Count Vorror Rairol Mencoon
A neaving hold
Sexy Avical Ster of a balana Aly
Huntle starber pirate
And it ended up producing a few like this.
Sports costume
Sexy scare costume
General Scare construct
The reason? Apparently someone decided to help out by entering an entire costume store’s inventory. (”What are you supposed to be?” “Oh, I’m Mens Deluxe IT Costume - Size Standard.”)
There were also some like this:
Rink Rater Ginsburg
A winged boxer Ginsburg
Bed ridingh in a box Buther Ginsburg
Skeleton Ginsburg
Zombie Fire Cith Bader Ginsburg
Because someone had entered about 50 variations on Ruth Bader Ginsberg puns (Ruth Tater Ginsberg, Sleuth Bader Ginsber, Rock Paper Ginsberg).
It invented some awesome new superheroes/supervillains.
Glow Wonder Woman
The Bunnizer
Ladybog
Light man
Bearley Quinn
Glad woman
robot Werewolf
super Pun
Super of a bog
Space Pants
Barfer
buster pirate
Skull Skywolk lady
Skynation the Goddess
Fred of Lizard
And oh, the sexy costumes. Hundreds of sexy costumes, yet it never quite got the hang of it.
Sexy Scare
Sexy the Pumpkin
Saxy Pumpkins
Sexy the Pirate
Sexy Pumpkin Pirate
Sexy Gumb Man
Sexy barber
Sexy Gargles
Sexy humblebee
Sexy The Gate
Sexy Lamp
Sexy Ducty monster
Sexy conchpaper
Sexy the Bumble
Sexy the Super bass
Pretty zombie Space Suit
sexy Drangers
Sexy the Spock
You bet there are bonus names - and oh please go read them because they are so good and it was so hard to decide which ones to fit into the main article. Includes the poop jokes. You’re welcome.
I’ve posted the entire dataset as open-source on GitHub.
And you can contribute more costumes, for a possible future neural net upgrade (no email address necessary).
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A neural network designs Halloween costumes
It's hard to come up with ideas for Halloween costumes, especially when it seems like all the good ones are taken. And don't you hate showing up at a party only to discover that there's *another* pajama cardinalfish?
I train neural networks, a type of machine learning algorithm, to write humor by giving them datasets that they have to teach themselves to mimic. They can sometimes do a surprisingly good job, coming up with a metal band called Chaosrug, a craft beer called Yamquak and another called The Fine Stranger (which now exists!), and a My Little Pony called Blue Cuss.
So, I wanted to find out if a neural network could help invent Halloween costumes. I couldn’t find a big enough dataset, so I crowdsourced it by asking readers to list awesome Halloween costumes. I got over 4,500 submissions.
The most popular submitted costumes are the classics (42 witches, 32 ghosts, 30 pirates, 22 Batmans, 21 cats (30 incl sexy cats), 19 vampires, and 17 each of pumpkins and sexy nurses). There are about 300 costumes with “sexy” in their names; some of the most eyebrow-raising include sexy anglerfish, sexy Dumbledore, sexy golden pheasant, sexy eyeball, sexy Mothra, Sexy poop emoji, Sexy Darth Vader, Sexy Ben Franklin, Sexy TARDIS, Sexy Cookie Monster, and Sexy DVORAK keyboard. In the “technical challenge” department, we have costumes like Invisible Pink Unicorn, Whale-frog, Glow Cloud, Lake Michigan, Toaster Oven, and Garnet.
All this is to say that humans are very creative, and this task was going to be tricky for a neural network. The sensible approach would be to try to use a neural network that actually knows what the words mean - there are such things, trained by reading, for example, all of Google News and figuring out which words are used in similar ways. There’s a fun demo of this here. It doesn’t have an entry for “Sexy_Gandalf” but for “sexy” it suggests “saucy” and “sassy”, and for “Gandalf” it suggests “Frodo”, “Gollum”, and “Voldemort”, so you could use this approach to go from “Sexy Gandalf” to “Sassy Voldemort”.
I wanted something a bit weirder. So, I used a neural network that learns words from scratch, letter by letter, with no knowledge of their meaning, an open-source char-rnn neural network written in Torch. I simply dumped the 4500 Halloween costumes on it, and told the neural network to figure it out.
Early in the training process, I decided to check in to see how it was doing.
Sexy sexy Dombie Sexy Cat
Sexy A stare Rowan
Sexy RoR A the Rog
Sexy Cot
Sexy Purbie Lampire
Poth Rat
Sexy Por Man
The Wombue
Pombie Con A A Cat
The Ran Spean Sexy Sexy Pon Sexy Dander
Sexy Cat
The Gull Wot
Sexy Pot
Hot
In retrospect, I should have expected this. With a dataset this varied, the words the neural network learns first are the most common ones.
I checked in a little later, and things had improved somewhat. (Omitted: numerous repetitions of “sexy nurse”). Still the only thing that makes sense is the word Sexy.
Sexy The Carding Ging
Farbat of the Cower
Sexy The Hirler
A costume
Sexy Menus
Sexy Sure
Frankenstein's Denter
A cardian of the Pirate
Ging butter
Sexy the Girl Pirate
By the time I checked on the neural network again, it was not only better, but astoundingly good. I hadn’t expected this. But the neural network had found its niche: costume mashups. These are actually comprehensible, if a bit hard to explain:
Punk Tree
Disco Monster
Spartan Gandalf
Starfleet Shark
A masked box
Martian Devil
Panda Clam
Potato man
Shark Cow
Space Batman
The shark knight
Snape Scarecrow
Gandalf the Good Witch
Professor Panda
Strawberry shark
Vampire big bird
Samurai Angel
lady Garbage
Pirate firefighter
Fairy Batman
Other costumes were still a bit more random.
Aldonald the Goddess of the Chicken
Celery Blue Frankenstein
Dancing Bellyfish
Dragon of Liberty
A shark princess
Statue of Witch
Cupcake pants
Bird Scientist
Giant Two butter
The Twin Spider Mermaid
The Game of Nightmare Lightbare
Share Bat
The Rocky Monster
Mario lander
Spork Sand
Statue of pizza
The Spiding hood
A card Convention
Sailor Potter
Shower Witch
The Little Pond
Spice of pokeman
Bill of Liberty
A spock
Count Drunk Doll of Princess
Petty fairy
Pumpkin picard
Statue of the Spice of the underworker
It still was fond of using made-up words, though. You’d be the only one at the party dressed as whatever these are.
Sparra
A masked scorby-babbersy
Scormboor
Magic an of the foand tood-computer
A barban
The Gumbkin
Scorbs Monster
A cat loory Duck
The Barboon
Flatue doctor
Sparrow Plapper
Grankenstein
The Spongebog
Minional marty clown
Count Vorror Rairol Mencoon
A neaving hold
Sexy Avical Ster of a balana Aly
Huntle starber pirate
And it ended up producing a few like this.
Sports costume
Sexy scare costume
General Scare construct
The reason? Apparently someone decided to help out by entering an entire costume store’s inventory. (”What are you supposed to be?” “Oh, I'm Mens Deluxe IT Costume - Size Standard.”)
There were also some like this:
Rink Rater Ginsburg
A winged boxer Ginsburg
Bed ridingh in a box Buther Ginsburg
Skeleton Ginsburg
Zombie Fire Cith Bader Ginsburg
Because someone had entered about 50 variations on Ruth Bader Ginsberg puns (Ruth Tater Ginsberg, Sleuth Bader Ginsber, Rock Paper Ginsberg).
It invented some awesome new superheroes/supervillains.
Glow Wonder Woman
The Bunnizer
Ladybog
Light man
Bearley Quinn
Glad woman
robot Werewolf
super Pun
Super of a bog
Space Pants
Barfer
buster pirate
Skull Skywolk lady
Skynation the Goddess
Fred of Lizard
And oh, the sexy costumes. Hundreds of sexy costumes, yet it never quite got the hang of it.
Sexy Scare
Sexy the Pumpkin
Saxy Pumpkins
Sexy the Pirate
Sexy Pumpkin Pirate
Sexy Gumb Man
Sexy barber
Sexy Gargles
Sexy humblebee
Sexy The Gate
Sexy Lamp
Sexy Ducty monster
Sexy conchpaper
Sexy the Bumble
Sexy the Super bass
Pretty zombie Space Suit
sexy Drangers
Sexy the Spock
You bet there are bonus names - Become a supporter of AI Weirdness to read them, and they are so good and it was so hard to decide which ones to fit into the main article. Includes the poop jokes. You’re welcome.
I’ve posted the entire dataset as open-source on GitHub.
And you can contribute more costumes, for a possible future neural net upgrade (no email address necessary).
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MEET THE MUN.
Name, Alias: claire
Age: lost count
Gender: lmao
Birthday: 6/28
Height: lmao
Sexuality: distinguished bi
Occupation: lmao
Do you have any--
siblings: 4 sisters
pets: 2 dogs, 4 pups, 1 cat, 2 kits
piercings: eh
tattoos: eh
Favorite--
movies: suspiria, del toro films, seven samurai, coco, shrek 2, the adventures of mark twain
foods: mole poblano, pizza, hamburgers, pozole, twice cooked pork, katsu sandwich
bands/artists: k.dot, deaf gripes, all of pro era, bowie, misterwives, my morning jacket, king gizzard, mars volta, p*ssgrave, rolling stones, prince royce, sunmi, 2ne1, melt banana,,, it goes on
things to do: write more, listen to music more, voice over
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Tagged by @besin-is-a-moogle
Rules: Answer 30 questions and tag 10 people
# following: 194
# of followers: 104
Average hours of sleep: 6 to 8, maybe?
Lucky number: I don’t really have one.
Instruments: None.
What are you wearing: Various types of fabric cut and stitched together to form a warm casing for the human body.
Dream job: Taking care of cats and getting paid for it, I guess?
Dream trip: I.. don’t really have one, honestly.
Significant other: None.
Birthday: March 31st
Height: 5′5″
Gender/pronouns: She/her
Other blogs: @caseofthestolenspecs
Nicknames: Callie
Star sign: Aries
Time: 3:26PM
Favorite bands: Walk the Moon, Our Lady Peace, Kesha, Incubus
Favorite artist: Too many!!
Favorite tumblr artist: Also too many!!
Song stuck in your head: I think I have Walk the Moon permanently stuck in my head.
Last movie you watched: Road to El Dorado
Last show you watched: Violet Evergarden
Why did you make your blog: I had no clue how to use Tumblr and just made an account for no reason, posted two Earthbound screenshots, and left. Then, I came back to it once I decided I wanted to reblog stuff.
What do you post: Nothing original (on this blog, anyway). I reblog things that pique my fancy or that I find amusing. Other one has occasional fanfiction.
Fandom contributions: When I was 11, I used to draw and write horrible Team Rocket art and fanfic, complete with my own terrible self-insert OC. Then, in high school, I drew all kinds of horrible Invader Zim, Trigun, Yu-Gi-Oh and other assorted anime art. Now, I guess I write FFXV fanfics for fun? Oh, and I also run a fansite for an obscure French kids’ show (Insektors), and have for over ten years now.
Last thing you googled: Probably something video game help related.
Ao3: SongOfMarbule
Do you ever get asks: Nope.
How did you get the idea for your url: One of my favourite video game moments ever is in Earthbound, when you drink Mr. Saturn’s coffee in Saturn Valley. And as it happens, ‘saturnvalleycoffee’ sounds cool. (My original URL was actually ‘mustachegraffiti’ lol)
Favorite food: This used to be lasagna, but now I think it’s tied with butter chicken. And also, vanilla ice cream.
Last book you read: Warm Bodies
Top 3 fictional universes: This will always be Insektors, sorry. I just freaking love it and wish more people knew what it was, okay?? I’m also gonna throw Samurai Pizza Cats in there too. EDIT: SPLATOON. HOW COULD I FORGET SPLATOON!?
(not tagging anyone, if you wanna do it, do it!)
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