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 @firstname.lastname@example.org @email@example.com @firstname.lastname@example.org and @email@example.com 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.
#colorado bass drop
There are several ways of getting GPT-3 to generate drawing prompts.
For #Botober I chose to give it a short story to complete, in which it had to generate lines for an erratic station AI. The neural net took over after "1."
The neural net suggested #Botober drawing prompts based on how the words fit, and not on any concept of how the objects might look. This list makes that abundantly clear.
I'm hand-curating the GPT-3 generated #Botober prompts because many of the neural net's drawing prompts are terrible for one reason or another.
Here are some of the prompts that were unfairly difficult.
For the first #Botober collection I generated, I had GPT-3 generate "things". Here's an alternate collection in which I had the neural net generate "concepts". It's different, but I'm not sure if it's easier.
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
The Wandering Shop is a Mastodon instance initially geared for the science fiction and fantasy community but open to anyone. We want our 'local' timeline to have the feel of a coffee shop at a good convention: tables full of friendly conversation on a wide variety of topics. We welcome everyone who wants to participate, so long as you're willing to abide by our code of conduct.