Gave a neural net some examples from @mondomascots and it responded with some deeply weird mascots.
The Brando, a guesthouse in Tokyo, is represented by Garapon-kun, a shy yet terrifying Jack-in-the-box that likes to play with balloons.
Makuo, a sea anemone from Kagoshima, can see the future. His antennae are mittens, but he has eight toes on each hand.
I tried to generate images of candy hearts using Ryan Murdock's CLIP+BigGAN method.
The results were less sweet than I had hoped.
Decided to try GPT-3 at the task of generating candy hearts. They are not candy hearts you'll see in the store. https://janellecshane.substack.com/p/okay-gpt-3-candy-hearts?r=1lic4&utm_campaign=post&utm_medium=web&utm_source=twitter
"Leaning Tower of Pizza"
I used @advadnoun's Big Sleep program to steer BigGAN into generating weird images for me, using CLIP for feedback. Sometimes it worked. Sometimes it failed hilariously.
In which I revisit some AI Weirdness posts from 2020 that inspired humans to do delightfully weird stuff
Not only can DALL-E generate some pretty amazing pictures, but someone at @OpenAI put some very ai weirdness-worthy prompts in the demo. These are so much fun.
“That Time It Rained for Two Million Years”
“When Giant Scorpions Swarmed the Seas”
A lot of stuff has happened in 4.5 billion years.
I prompted GPT-3 with epic @EonsShow episode titles to see what the next billion years might hold.
Got GPT-3 to generate new Christmas carols.
Here is "Mild is Rudolph". Are you not cheered and comforted?
I gave a set of 2020 headlines to the neural net GPT-3, whose training data cut off in October 2019.
Having never seen 2020, it tried to predict what headlines are next on the list.
GPT-3 generates reviews for the tiny neural net char-rnn's chaotic recipes.
GPT-3 is apparently trying to produce reviews that could plausibly be written by whatever weird humans are visiting this mangled recipe website.
So I managed to get GPT-3 to generate new Victorian handkerchief flirting codes.
I hope you find them useful for adding subtext to your next zoom call
Since we all aren't busy enough, I used GPT-3 to generate new to-do items from DaVinci's notebooks.
This AI has never heard of #Blaseball but when I gave it the list of existing teams, GPT-3 predicted that these teams will come next.
The neural net GPT-3 has seen enough Halloween costumes in its general internet training that to get something unusual, you have to ask it for a twist.
I asked for high-visibility costumes for viewing in the age of covid, and was not disappointed.
Made a neural net version of one of those color memes.
Making a book with my best buddies? Who could say no to that?
Huge news! I've been working for a few months with @email@example.com @firstname.lastname@example.org @email@example.com and @firstname.lastname@example.org on an unofficial sequel to Harold Cohen's 1984 Artificial Intelligence Coloring Book! Some gorgeous teaser images from Anna's section below. So much more to come! 😍
Wondered what would happen if I gave this prompt, a permanent message designed for a nuclear waste site, to something oppositely ephemeral, a neural net trained on a snapshot of internet text from October 2019.
This post is not a post of honor.
Are you not terrified and repulsed??
I prompted GPT-3 with some human proposals for marking a nuclear waste site, in a way that will still be forbidding millennia from now.
"I’m not sure how to feel about the fact that telling a neural net to pretend it’s a smaller, more-confused neural net is now easier than actually training the smaller neural net."
welcome to the future I guess
Rather than collect 1000s of supervillain bios, train a neural net on them, and style-transfer them all to be about AI, I just had GPT-3 generate the resulting blog post.
I collected my favorite AI supervillains and illustrated them.
I train neural networks to write humor at aiweirdness.com | Also a research scientist in optics. She/her
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