1970 https://www.instagram.com/p/B97hCB0oezd/?igshid=fv0wh8eqij30
No title available
KIROKAZE
occasionally subtle
almost home
let's talk about Bridgerton tea, my ask is open

Origami Around

izzy's playlists!

pixel skylines
Three Goblin Art

祝日 / Permanent Vacation
Keni
Alisa U Zemlji Chuda
taylor price
will byers stan first human second
Cosimo Galluzzi

Discoholic 🪩
DEAR READER
we're not kids anymore.
RMH
wallacepolsom
seen from Denmark
seen from France

seen from Australia

seen from United States

seen from United Kingdom
seen from Brazil

seen from United States
seen from United Kingdom

seen from Australia

seen from United States

seen from United Kingdom

seen from China
seen from United States

seen from United States

seen from Finland
seen from Argentina

seen from Australia

seen from Mexico
seen from Germany

seen from United States
@chevy4acadillac
1970 https://www.instagram.com/p/B97hCB0oezd/?igshid=fv0wh8eqij30
Alain Capeillères / Domestic Pool Six-Fours-les-Plages, France - 1970s
Beauty contest at the Iowa State Fair, Des Moines, Photo by Dennis Stock, 1965
Cat discovers oranges and discovers that he doesn’t like them. (via nevermndthealbatross)
Canada, 1967 https://www.instagram.com/p/B9AQB2AIVVr/?igshid=okz01wk6r2pt
This could be my dad
VW T 1 Pritsche Transporter Custom
© calvin courjo
Smells like the future
“What would a candle inspired by your book smell like?”
This was a question that was going around the other day, and most authors got to answer with something nice. My book, however… let’s just say it features a neural net-generated recipe called “Basic Clam Frosting”.
But what kind of candles would a neural net invent? asked Janet Laible, who with SnoringFrog then proceeded to collect a list of almost 1000 (mostly from Yankee Candle). Training a neural net to generate candles was a good (and rather frightening) suggestion.
I gave the existing list to a large neural net called GPT-2, which had previously trained on a huge chunk of text from the internet. Its task was to learn how to predict new candle scents. But compared to All of the Internet, 1000 candles is a pitifully small dataset, and the neural net immediately learned to memorize it. After all, that’s technically a perfect solution to the task “predict new candle scents” - if it innovated, it might be wrong sometimes.
But just as I was getting discouraged, I began to notice that it WAS innovating. In among all the copied scents, some of its candles definitely weren’t in the original training data.
I went back to the neural net’s generated list and used a program to filter out the duplicates, revealing that the neural net was inventing new scents after all, candles that had blended in with the ones that already existed.
Mango Vanilla Summer Sky Christmas Almond Wildflower Honey Vanilla Pumpkin Cake Kiwi Bourbon Christmasly Spiced Apple New Zealand Stars Alpine Lavender Rich Berry Frost Snowy Alberta Night Midnight Rustling Spicy Butterscotch On Toast
But if you let the neural net run your candle factory unattended, these scents might be in your lineup:
The neural net was drawing on its prior internet training for its innovations (“decay” wasn’t anywhere in its candle training data). And sometimes it uses that prior training to do weird things. In among its candle ideas, the neural net also wrote this little story:
Imagine you’re sleeping in your room, surrounded by night. You forget you’re awake for at least 45 minutes, waiting for 100 percent of the sun to set. At night, you wake up to find yourself inside the matching sweatshirt and sweatshirt combo. Smell the warmth, feel it pour through your hair, smell the fragrant caffees — before warm fuzzies drop by the window. Air bubbles swirl your bedroom doors and make satisfying noise. Whoop!!
Candle images made via the personalized candle interface of Yankee Candle Company, from whom I am expecting a call any day.
Bonus content: More candles from the future
My book on AI is out, and, you can now get it any of these several ways! Amazon - Barnes & Noble - Indiebound - Tattered Cover - Powell’s
100% would buy Lemon Lime Decay and Marshmallow Chutney
Photographer David Egan
Photographer William Broadhurst
2020 Stuff
I bought a gown for an awards ceremony I’ll be attending next month. It has pockets. It’s VERY long and needs some alterations. I don’t know if a seamstress can do anything with it as it is a very interesting design. I want to change into a tux-type getup after the ceremony but guess what, tuxes are expensive. Maybe I’ll figure something out that has the same vibe.
I’m doing keto for a month or so. It’s fine and I feel good/am cooking at home more, but I’m sick of eggs.
I finished and released my pilot episode of my solo podcast. Sounds like people are excited to hear what I have to bring to the table. Hopefully it doesn’t disappoint. I have a lot more work to do.
I started therapy. It’s good, I like her and I think she’s gonna help me with some habits I’ve been needing to work on.
Work is great and I finally feel like I’m in the flow of things and can do a consistently good job without asking questions. Show season starts soon and we’re gonna be working our butts off, but I'm still anxious to get started.
ich habe jesus in einer Pizza gesehen
i saw jesus in a pizza
So Tired
1976 Ford Bronco Custom SUV
© barrett jackson
JONAS LIE The Old Ships Draw to Home Again Oil On Canvas 40″ x 50″
Harper Bazaar 1964
© Jeanloup Sieff