ICONS ONLY
And in the end it’s him and i
May the 10 of Pentacles bless your account with more money than you can spend. 💵✨
10 of Pentz came thruuu
Omg this actually works!!! Thank you 10 of Pentacles!!!
I could seriously use this money right now….
Please give me my refund of 400$ soon…
I feel obligated to reblog this every time it shows up in my dash
No bragging, just 100% floored and grateful. Work hard, maintain a positive attitude, and believe that anything can happen.
So I reblogged this exactly a week ago because I thought it was funny and uh lo and behold, a family friend wrote me a big ol’ check just to help me out of a tough financial spot AND my bank refunded me $32 for fees they’d originally taken out. SO UH YEAH. Reblogging this again in hopes that it brings equally good fortune to my followers.
Sure why not? Jobs bring in money and prosperity…
So need😑🙃
Gimme some fucking money
straight men when they’ve been waiting for their girlfriend outside of sephora for 52 seconds
this shit literally has me drooling with laughter every time is see this
she tried to use fake blood out of a tube because she was so high that she ate the blood capsule she was supposed to use and it coated the entirety of her mouth except for a single front tooth and every time i see this screenshot i literally go ballistic
Emoji spell for extreme good luck for the next two months
🍀🌰🌒🌓🌔🌕🌠⭐⚡☀⚡⭐🌠🌕🌔🌓🌒🌰⭐🌱🌿🍀🎆🌋🎇🌠🔮🔔💰💰💰💰💸💸💸💸💳💳💳💳💸💸💸💸💸💸💸💸💰💰💰🍀🌿🍀🌿🍀🌿🍀🍀🍀🍀🍀🍀🍀🌋🌊🌈🎆🎇🎉🎊🔓🔆🔓💰💸💳🔅📈🏁🍚⬆⬇↕🔄✳✴🌊🌈🌒🌓🌔🌕🌠⭐⚡🌋🎆🎇🎆🎉🎊🎍💸💸💸✴✳✳✳✳↕↕↕↕🎆🎇🌋✴✳🐇🐸🍀🌰🌱🌼🍀🍀🍀🌻🌺🍀🍀🌿🍀🌰🌱🌿🍀
Likes charge. Reblogs CAST
This AI is bad at drawing but will try anyways.
There was a paper recently where a research team trained a machine learning algorithm (a GAN they called AttnGAN) to generate pictures based on written descriptions. It’s like Visual Chatbot in reverse. When it was just trained to generate pictures of birds, it did pretty well, actually.
(Although the description didn’t specify a beak and so it just… left it out.)
But when they trained the same algorithm on a huge and highly varied dataset, it had a lot more trouble generating a picture to go with that caption. Below, I give the same caption to a version of their algorithm that has been trained to generate everything from sheep to shopping centers. Cris Valenzuela wrapped their trained model in an entertaining demo that attempts to generate a picture for any caption.
This bird is less, um, recognizable. When the GAN has to draw *anything* I ask for, there’s just too much to keep track of - the problem’s too broad, and the algorithm spreads itself too thin. It doesn’t just have trouble with birds. A GAN that’s been trained just on celebrity faces will tend to produce photorealistic portraits. But this one, however…
In fact, it does a horrifying job with humans because it can never quite seem to get the number of orifices correct.
It’s fun to ask it to draw animals though. It knows the texture of giraffes, but not quite exactly their shape. And it knows that boats are on the water, but not necessarily that they are boats.
It also (like many other image recognition algorithms) gets a bit confused about the difference between sheep and the landscapes they’re found on. Other algorithms recognize sheep in pictures of empty green fields. And this one, when asked to draw sheep…
That’s different, though, from asking it to draw *a* sheep. In that case, it knows exactly what to do. It draws the sheep, and then just to be safe it fills the entire planet with wool too.
It really likes drawing stop signs and clocks. Give it the slightest opportunity to draw one, and it will chuck those things all over the place.
Other than its horrifying humans, this algorithm can actually be pretty delightful.
I had way too much fun generating these and ended up with way more than would fit in this one blog post. I’ve compiled a few more of my favorites. Enter your email and I’ll send you them (and if you want, you can get bonus material each time I post).
A representation of my thought process at all times
this is literally how teenagers talk irl
This literally sounds like a voice-acted recreation of a group chat
UGH THIS WAS SO GOOD…CAN WE LET PPL WHO KNOW HOW TO WRITE PLEASE MAKE SHOWS AGAIN.
Played during the ‘finale’ of the the film ‘Hereditary.’
Artist: Bakufu Ohno (1888-1976) — 大野麦風 Title: Chrysanthemums- Type 2









