“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.
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.
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.
Introducing #Botober, a set of AI-generated drawing prompts for each day in October!
I generated these using GPT-3, a neural net trained on a huge amount of internet text, but not on drawing prompts specifically. (This explains a lot)
A single typo in an Open Street Map entry caused an ordinary 2-story building in Melbourne to become an eerie 212-story pillar.
The Melbourne Monolith is now the most famous landmark in Microsoft Flight Simulator 2020. A successful completion of the Monolith Challenge is to land neatly on its roof.
I train neural networks to write humor at aiweirdness.com | Also a research scientist in optics. She/her
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