Latest Posts by youaurendenial - Page 2
Alpaca vs. Llama
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Today we successfully tested one of our RS-25 engines, four of which will help power our Space Launch System (SLS) to deep space destinations, like Mars! This 500-second engine test concludes a summer of successful hot fire testing for flight controllers at our Stennis Space Center near Bay St. Louis, Mississippi.
The controller serves as the “brain” of the engine, communicating with SLS flight computers to ensure engines are performing at needed levels. The test marked another step toward the nation’s return to human deep-space exploration missions.
We launched a series of summer tests with a second flight controller unit hot fire at the end of May, then followed up with three additional tests. The flight controller tests are critical preparation for upcoming SLS flights to deep space– the uncrewed Exploration Mission-1 (EM-1), which will serve as the first flight for the new rocket carrying an uncrewed Orion spacecraft, and EM-2, which will transport a crew of astronauts aboard the Orion spacecraft.
Each SLS rocket is powered at launch by four RS-25 engines firing simultaneously and working in conjunction with a pair of solid rocket boosters. The engines generate a combined 2 million pounds of thrust at liftoff. With the boosters, total thrust at liftoff will exceed 8 million pounds!
Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com.
Introducing Human Tears - STAY CRYDRATED!
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The Tale of Moth Ghost
Have you ever wanted to make your own propaganda poster?
Now you can go churn out some vintage memes to refresh the economy
wholesome meme creation. back to meme roots
ROBOT ROLL-CALL
Cambot!
Gypsy!
Tom Servo!
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ᵢf yₒᵤ'ᵣₑ wₒₙdₑᵣᵢₙg ₕₒw ₕₑ ₑₐₜₛ ₐₙd bᵣₑₐₜₕₑₛ ₐₙd ₒₜₕₑᵣ ₛcᵢₑₙcₑ fₐcₜₛ, ⱼᵤₛₜ ᵣₑₚₑₐₜ ₜₒ yₒᵤᵣₛₑₗf “ᵢₜ'ₛ ⱼᵤₛₜ ₐ ₛₕₒw, ᵢ ₛₕₒᵤₗd ᵣₑₐₗₗy ⱼᵤₛₜ
Speak like an Aussie. Left in an Australia travel book.
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Watch out for trail hazards
the eighth deadly sin is not using your turn signal
The Solar System!
bonus Pluto!
llegando de la fiesta el domingo
The Woods
Anyone looking for a new job?
equippable health item
For anyone else that really enjoys these “Alien horror stories of humans”
also, https://www.reddit.com/r/HFY/top/
the enterprise crew as troubled birds
kirk:
spock:
uhura:
bones:
chekov:
sulu:
scotty:
New paint colors invented by neural network
So if you’ve ever picked out paint, you know that every infinitesimally different shade of blue, beige, and gray has its own descriptive, attractive name. Tuscan sunrise, blushing pear, Tradewind, etc… There are in fact people who invent these names for a living. But given that the human eye can see millions of distinct colors, sooner or later we’re going to run out of good names. Can AI help?
For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values) Could the neural network learn to invent new paint colors and give them attractive names?
One way I have of checking on the neural network’s progress during training is to ask it to produce some output using the lowest-creativity setting. Then the neural network plays it safe, and we can get an idea of what it has learned for sure.
By the first checkpoint, the neural network has learned to produce valid RGB values - these are colors, all right, and you could technically paint your walls with them. It’s a little farther behind the curve on the names, although it does seem to be attempting a combination of the colors brown, blue, and gray.
By the second checkpoint, the neural network can properly spell green and gray. It doesn’t seem to actually know what color they are, however.
Let’s check in with what the more-creative setting is producing.
…oh, okay.
Later in the training process, the neural network is about as well-trained as it’s going to be (perhaps with different parameters, it could have done a bit better - a lot of neural network training involves choosing the right training parameters). By this point, it’s able to figure out some of the basic colors, like white, red, and grey:
Although not reliably.
In fact, looking at the neural network’s output as a whole, it is evident that:
The neural network really likes brown, beige, and grey.
The neural network has really really bad ideas for paint names.
“if you have a bit of stress then you can use this, but if you have a lot of stress use this one”
Ambient sounds for writers
Find the right place to write your novel…
Nature
Arctic ocean
Blizzard in village
Blizzard in pine forest
Blizzard from cave
Blizzard in road
Beach
Cave
Ocean storm
Ocean rocks with rain
River campfire
Forest in the morning
Forest at night
Forest creek
Rainforest creek
Rain on roof window
Rain on tarp tent
Rain on metal roof
Rain on window
Rain on pool
Rain on car at night
Seaside storm
Swamp at night
Sandstorm
Thunderstorm
Underwater
Wasteland
Winter creek
Winter wind
Winter wind in forest
Howling wind
Places
Barn with rain
Coffee shop
Restaurant with costumers
Restaurant with few costumers
Factory
Highway
Garden
Garden with pond and waterfall
Fireplace in log living room
Office
Call center
Street market
Study room from victorian house with rain
Trailer with rain
Tent with rain
Jacuzzi with rain
Temple
Temple in afternoon
Server room
Fishing dock
Windmill
War
Fictional places
Chloe’s room (Life is Strange)
Blackwell dorm (Life is Strange)
Two Whales Diner (Life is Strange)
Star Wars apartment (Star Wars)
Star Wars penthouse (Star Wars)
Tatooine (Star Wars)
Coruscant with rain (Star Wars)
Yoda’s hut with rain ( Star Wars)
Luke’s home (Star Wars)
Death Star hangar (Star wars)
Blade Runner city (Blade Runner)
Askaban prison (Harry Potter)
Hogwarts library with rain (Harry Potter)
Ravenclaw tower (Harry Potter)
Hufflepuff common room (Harry Potter)
Slytherin common room (Harry Potter)
Gryffindor common room (Harry Potter)
Hagrid’s hut (Harry Potter)
Hobbit-hole house (The Hobbit)
Diamond City (Fallout 4)
Cloud City beach (Bioshock)
Founding Fathers Garden (Bioshock)
Things
Dishwasher
Washing machine
Fireplace
Transportation
Boat engine room
Cruising boat
Train ride
Train ride in the rain
Train station
Plane trip
Private jet cabin
Airplane cabin
Airport lobby
First class jet
Sailboat
Submarine
Historical
Fireplace in medieval tavern
Medieval town
Medieval docks
Medieval city
Pirate ship in tropical port
Ship on rough sea
Ship cabin
Ship sleeping quarter
Titanic first class dining room
Old west saloon
Sci-fi
Spaceship bedroom
Space station
Cyberpunk tearoom
Cyberpunk street with rain
Futuristic server room
Futuristic apartment with typing
Futuristic rooftop garden
Steampunk balcony rain
Post-apocalyptic
Harbor with rain
City with rain
City ruins turned swamp
Rusty sewers
Train station
Lighthouse
Horror
Haunted mansion
Haunted road to tavern
Halloween
Stormy night
Asylum
Creepy forest
Cornfield
World
New York
Paris
Paris bistro
Tokyo street
Chinese hotel lobby
Asian street at nightfall
Asian night market
Cantonese restaurant
Coffee shop in Japan
Coffee shop in Paris
Coffee shop in Korea
British library
Trips, rides and walkings
Trondheim - Bodø
Amsterdam - Brussels
Glasgow - Edinburgh
Oxford - Marylebone
Seoul - Busan
Gangneung - Yeongju
Hiroshima
Tokyo metro
Osaka - Kyoto
Osaka - Kobe
London
São Paulo
Seoul
Tokyo
Bangkok
Ho Chi Minh (Saigon)
Alps
New York
Hong Kong
Taipei
“what makes you happy?”
Me: the little rainbow flag Captain Holt keeps on his desk
do people actually preheat their ovens
Here’s an easy guide to remember some dog names.