Wait. What?


  1. cabinporn:

    Bruny 149 built by @maguiredevine

    The design of the Bruny Island cabin responds to our client’s desire for a retreat, a place of renewal where she can escape the high stress of her busy work life and engage in simple pleasures of reading, playing violin, star gazing. The cabin creates a well-equipped shelter, allowing her to spend time on her beloved 99 acres of land.

    Born in Taiwan, she spent her childhood in traditional Japanese houses (built during occupation). Out of this grew a love for highly crafted minimalist design. Our brief was to capture that and design a building as a piece of furniture with everything she needs built in. The only furniture allowed was a low table and mattress on the sleeping loft.


    The site is completely off-grid, and as such the cabin collects its own rainwater, is powered by photovoltaics and heated by a woodfire oven, while gas provides hot water and cooktop cooking.  

    The external materials comply with the Bushfire Attack Level of 19. A
    bath is positioned in the afternoon deck below removable decking panels. The bathroom has a secret door onto the North deck for the experience of showering (almost) outside.

    (via cabinporn)

  2. A neural network invents some pies

    lewisandquark:

    image

    (Pie -> cat courtesy of https://affinelayer.com/pixsrv/ )

    I work with neural networks, which are a type of machine learning computer program that learn by looking at examples. They’re used for all sorts of serious applications, like facial recognition and ad targeting and language translation. I, however, give them silly datasets and ask them to do their best.

    So, for my latest experiment, I collected the titles of 2237 sweet and savory pie recipes from a variety of sources including Wikipedia and David Shields. I simply gave them to a neural network with no explanation (I never give it an explanation) and asked it to try to generate more.

    Its very first attempt left something to be desired, but it had figured out that "P”, “i”, and “e” were important somehow.

    e Piee  i m t iee ic
    ic Pa ePeeetae  a   e
    eee  ema iPPeaia eieer  
    i   i
    i  ie
    e eciie
    Pe eaei a

    Second checkpoint. Progress: Pie.

    Pie Pee Pie
    Pimi Pie Pim Cue Pie Pie (er Wie
    Pae Pim Piu Pie Pim Piea Cre
    Pia Pie Pim Pim
    Pie Pie Piee Pie Piee

    This is expected, since the word “pie” is both simple and by far the most common word in the dataset. It stays in the stage above for rather a while, able to spell only “Pie” and nothing else. It’s like evolution trying to get past the single-celled organism stage. After 4x more time has elapsed, it finally adds a few more words: “apple”, “cream”, and “tart”. Then, at the sixth checkpoint, “pecan”.

    Seventh checkpoint: These are definitely pies. We are still working on spelling “strawberry”, however.

    Boatin Batan Pie
    Shrawberry Pie With An Cream Pie Cream Pie
    Sweesh Pie Ipple Pie
    Wrasle Cream Pie
    Swrawberry Pie Cream Pie
    Sae Fart Tart
    Cheem Pie Sprawberry Cream Pie Cream Pie

    10th checkpoint. Still working.

    Coscard Pie
    Tluste Trenss Pie Wot
    Flustickann
    Fart
    Oag’s Apple Pie
    Daush Flumberry O
    Cheesaliane
    Rutter Chocklnd Apple Rhupperry pie
    Flonberry Peran Pie
    Blumbberry Cream Pie
    Futters Whabarb Wottiry Rasty Pasty Kamphible Idponsible Swarlot Cream Cream Cront

    16th checkpoint. Showing some signs of improvement? Maybe. It thinks Qtrupberscotch is a thing.

    Buttermitk Tlreed whonkie Pie
    Spiatake Bog Pastry
    Taco Custard Pie
    Apple Pie With Pharf Calamed apple Freech Fodge
    Cranberry Rars
    Farb Fart
    Feep-Lisf Pie With Qpecisn-3rnemerry Fluit Turd
    Turbyy Raisin Pie
    Forp Damelnut Pie
    Flazed Berry Pie
    Figi’s Chicken Sugar Pie
    Sauce and Butterm’s Spustacian Pie Fill Pie With Boubber Pie Bok Pie
    Booble Rurble Shepherd’s Parfate
    Ner with Cocoatu Vnd Pie Iiakiay Coconate Meringue Pie With Spiced Qtrupberscotch Apple Pie
    Bustard Chiffon Pie

    Finally we arrive at what, according to the neural network, is Peak Pie. It tracks its own progress by testing itself against the original dataset and scoring itself, and here is where it thinks it did the best.

    It did in fact come up with some that might actually work, in a ridiculously-decadent sort of way.

    Baked Cream Puff Cake
    Four Cream Pie
    Reese’s Pecan Pie
    Fried Cream Pies
    Eggnog Peach Pie #2
    Fried Pumpkin Pie
    Whopper pie
    Rice Krispie-Chiffon Pie
    Apple Pie With Fudge Treats
    Marshmallow Squash Pie
    Pumpkin Pie with Caramelized Pie
    Butter Pie

    But these don’t sound very good actually.

    Strawberry Ham Pie
    Vegetable Pecan Pie
    Turd Apple Pie Fillings 
    Pin Truffle Pie
    Fail Crunch Pie Crust
    Turf Crust
    Pot Beep Pies Crust
    Florid Pumpkin Pie
    Meat-de-Topping
    Parades Or Meat Pies Or Cake #1
    Milk Harvest Apple Pie
    Ice Finger Sugar Pie
    Amazon Apple Pie
    Prize Wool Pie
    Snood Pie
    Turkey Cinnamon
    Almond-Pumpkin Pie With Fingermilk
    Pumpkin Pie With Cheddar Cookie
    Fish Strawberry Pie
    Butterscotch Bean Pie
    Impossible Maple Spinach Apple Pie
    Strawberry-Onions Marshmallow Cracker Pie Filling
    Caribou Meringue Pie

    And I have no what these are:

    Stramberiy Cheese Pie
    The pon Pie
    Dississippi Mish 
    Boopie Crust
    Liger Strudel
    Free pie
    Sneak Pie
    Tear pie
    Basic France Pie
    Baked Trance pie
    Shepherd’s Finger Tart
    Buster’s Fib Lemon Pie
    Worf Butterscotch Pie
    Scent Whoopie
    Grand Prize Winning I*iple
    Cromberry Yas
    Law-Ox Strudel
    Surf Pie, Blue Ulter Pie - Pitzon’s
    Flangerson’s Blusty Tart
    Fresh Pour Pie
    Mur’s Tartless Tart

    More of the neural network’s attempts to understand what humans like to eat:

    Perhaps my favorite: Small Sandwiches

    All my other neural network recipe experiments here.

    Want more than that? I’ve got a bunch more recipes that I couldn’t fit in this post. Enter your email here and I’ll send you 38 more selected recipes.

    Want to help with neural network experiments? For NaNoWriMo I’m crowdsourcing a dataset of novel first lines, after the neural network had trouble with a too-small dataset. Go to this form (no email necessary) and enter the first line of your novel, or your favorite novel, or of every novel on your bookshelf. You can enter as many as you like. At the end of the month, I’ll hopefully have enough sentences to give this another try.

  3. nevver:
“Eraserhead, Lisa Congdon
”
  4. hydeordie:

    Lisa Hedge

    Top Left: Flavin in Peach

    Top Right: Twombly in Grey

    Bottom Left: Fontana in Green

    Bottom Right: Duchamp in Pink

    (via hydeordie)

  5. My friend told me a story he hadn’t told anyone for years. When he used to tell it years ago people would laugh and say, ‘Who’d believe that? How can that be true? That’s daft.’ So he didn’t tell it again for ages. But for some reason, last night, he knew it would be just the kind of story I would love.
     
    When he was a kid, he said, they didn’t use the word autism, they just said ‘shy’, or ‘isn’t very good at being around strangers or lots of people.’ But that’s what he was, and is, and he doesn’t mind telling anyone. It’s just a matter of fact with him, and sometimes it makes him sound a little and act different, but that’s okay.
     
    Anyway, when he was a kid it was the middle of the 1980s and they were still saying ‘shy’ or ‘withdrawn’ rather than ‘autistic’. He went to London with his mother to see a special screening of a new film he really loved. He must have won a competition or something, I think. Some of the details he can’t quite remember, but he thinks it must have been London they went to, and the film…! Well, the film is one of my all-time favourites, too. It’s a dark, mysterious fantasy movie. Every single frame is crammed with puppets and goblins. There are silly songs and a goblin king who wears clingy silver tights and who kidnaps a baby and this is what kickstarts the whole adventure.
     
    It was ‘Labyrinth’, of course, and the star was David Bowie, and he was there to meet the children who had come to see this special screening.
     
    ‘I met David Bowie once,’ was the thing that my friend said, that caught my attention.
     
    ‘You did? When was this?’ I was amazed, and surprised, too, at the casual way he brought this revelation out. Almost anyone else I know would have told the tale a million times already.
     
    He seemed surprised I would want to know, and he told me the whole thing, all out of order, and I eked the details out of him.
     
    He told the story as if it was he’d been on an adventure back then, and he wasn’t quite allowed to tell the story. Like there was a pact, or a magic spell surrounding it. As if something profound and peculiar would occur if he broke the confidence.
     
    It was thirty years ago and all us kids who’d loved Labyrinth then, and who still love it now, are all middle-aged. Saddest of all, the Goblin King is dead. Does the magic still exist?
     
    I asked him what happened on his adventure.
     
    ‘I was withdrawn, more withdrawn than the other kids. We all got a signed poster. Because I was so shy, they put me in a separate room, to one side, and so I got to meet him alone. He’d heard I was shy and it was his idea. He spent thirty minutes with me.
     
    ‘He gave me this mask. This one. Look.
     
    ‘He said: ‘This is an invisible mask, you see?
     
    ‘He took it off his own face and looked around like he was scared and uncomfortable all of a sudden. He passed me his invisible mask. ‘Put it on,’ he told me. ‘It’s magic.’
     
    ‘And so I did.
     
    ‘Then he told me, ‘I always feel afraid, just the same as you. But I wear this mask every single day. And it doesn’t take the fear away, but it makes it feel a bit better. I feel brave enough then to face the whole world and all the people. And now you will, too.
     
    ‘I sat there in his magic mask, looking through the eyes at David Bowie and it was true, I did feel better.
     
    ‘Then I watched as he made another magic mask. He spun it out of thin air, out of nothing at all. He finished it and smiled and then he put it on. And he looked so relieved and pleased. He smiled at me.
     
    ‘'Now we’ve both got invisible masks. We can both see through them perfectly well and no one would know we’re even wearing them,’ he said.
     
    ‘So, I felt incredibly comfortable. It was the first time I felt safe in my whole life.
     
    ‘It was magic. He was a wizard. He was a goblin king, grinning at me.
     
    ‘I still keep the mask, of course. This is it, now. Look.’
     
    I kept asking my friend questions, amazed by his story. I loved it and wanted all the details. How many other kids? Did they have puppets from the film there, as well? What was David Bowie wearing? I imagined him in his lilac suit from Live Aid. Or maybe he was dressed as the Goblin King in lacy ruffles and cobwebs and glitter.
     
    What was the last thing he said to you, when you had to say goodbye?
     
    ‘David Bowie said, ‘I’m always afraid as well. But this is how you can feel brave in the world.’ And then it was over. I’ve never forgotten it. And years later I cried when I heard he had passed.’
     
    My friend was surprised I was delighted by this tale.
     
    ‘The normal reaction is: that’s just a stupid story. Fancy believing in an invisible mask.’
     
    But I do. I really believe in it.
     
    And it’s the best story I’ve heard all year.
    Paul Magrs (via yourfluffiestnightmare)

    (via neil-gaiman)

  6. The neural network will name your next band

    lewisandquark:

    An important part of starting a new band is choosing an appropriate name. It is crucial that the name be unique, or you could risk at best confusion, and at worst an expensive lawsuit.

    The neural network is here to help.

    Prof. Mark Riedl of Georgia Tech, who recently provided the world a dataset of all the stories with plot summaries on Wikipedia, (enabling this post on neural net story names) now used his Wikipedia-extraction skills to produce a list of all the bands with listed discographies - about 84,000 in all.

    I gave the list to the Char-rnn neural network framework, and it was soon producing unique band names for a variety of genres. Below are examples of its output at various temperature (i.e. creativity) settings.

    Temperature 1.1

    This is about as high as the creativity setting can go before most of the band names are unpronounceable jumbles. These are some fine band names, highly suitable for whatever the heck their genres are supposed to be.

    Spice Green Robinson
    Gloome Schronnana
    Boofpas
    The Freights
    Nighty Daggers
    The Loveburners of Internal Watch
    Foxettes Ratimot Secret singer band
    The Dougloco
    The Theps
    Choconard Leach
    Rhoudemsquat
    Terrerssky?
    Flemz
    Mighty Chipping Baker
    Bop Gray (band)

    Temperature 1.0

    With the creativity turned down a bit, the band names are still weird, but a bit more plausible. Their genres can sometimes be identified.

    For example, I think these are probably traditional Irish bands?

    The Durks of Audun Green
    Sherry of Shinking Feavan
    The Shurping Laudst

    And these might work as metal bands:

    Rabidass (band)
    Killerlet (musician)
    Brokin’s Killer
    Flish Lipe
    Supervillin
    Girl Dead

    These are perhaps a bit less scrutable.

    Dr Overhard
    The Arce (band)
    The Tree Misters
    Reilling Ef (rapper)
    Flim Brothers
    Ching Mage
    Nan Edwards (folk singer)
    Nittle Bizzy
    The Dinlakoposseps
    Skins of Space
    Michael Porker
    The Lost singers
    The Nutlet Band
    The Rogue Orchestra
    The Fuman.A.I.((band)
    Vervoly Brown (urtist)
    Boohalloid (group)
    The Ballening Birds
    Lice Stepley

    Temperature 0.9

    With the creativity turned down a notch further, the band names become even more plausible. You could probably convince me that these exist.

    No Andrew Newson
    Fuzion (band)
    The Wurfywinders
    Clay Fights
    Berry Stitcher
    Something Rothers
    The Awl
    The Thingsons
    Switch’s Rich
    Lug
    Pond Billy
    The Hums (band)
    Northern Prince (Indian band)
    Staff Killer

    Temperature 0.6

    Turn the creativity down another notch, and we start to edge toward the neural network’s idea of the most quintessential band names. Note that they’re still pretty weird.

    Dub Arts
    Sheet Rose
    Heart Coil
    Elliot Horse
    Big Love
    The Mothers (band)
    The Time Stars
    Hulls of Girls
    Sucken (band)
    Electric Sing Show
    The Pans
    Symphony No. 3 (Dinish band)
    Hell Staple (band)
    Peter Parker
    Bad Head
    The Out Cookers
    Flower Shankar
    The Hat Coles

    Temperature 0.3

    Now at a creativity setting of only 0.3, almost all the band names are variations on “The [Noun]”.

    The Shines
    The Deaths
    The Dance (band)
    The Livers (band)
    The Stone Choir
    The Shake Man (band)

    Another strange thing happens, which is that the proportion of sharks goes way, way up. Apparently the neural network thinks that if you’re going to name a band, you can’t go wrong with sharks.

    Johnny Shark
    The Shark Charles
    Shark Rander
    The Shark (band)
    Nicole Shark
    Shark Gordon
    Shark Taylor (musician)
    The Shark Singers
    Tony Shark

    Temperature 0.01

    And now we come to the lowest temperature setting, where the neural network’s output consists of the most-quintessential band name, repeated over and over. Throughout most of the training process, this name was “The Stars” and occasionally “The Brothers”, but there was one generation where the neural network repeatedly insisted that there was nothing… nothing more fundamental to music than the banjo-playing skills of:

    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)
    Steve Martin (musician)

  7. nevver:
“All the better to see you with, my dear - Spider eyeball arrangements
”

    nevver:

    All the better to see you with, my dear - Spider eyeball arrangements

    (via nevver)

  8. Appropriate : NowPlaying Nasty by Brooke Candy

  9. nevver:

    Names to know, Alan Ket

    (via nevver)