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Making a book with my best buddies? Who could say no to that?

RT @artnome@twitter.com

Huge news! I've been working for a few months with @quasimondo@twitter.com @glagolista@twitter.com @videodrome@twitter.com and @annaridler@twitter.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! 😍

🐦🔗: twitter.com/artnome/status/131

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.
aiweirdness.com/post/630526925

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.
aiweirdness.com/post/629516384

"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."

wow @janellecshane
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.
aiweirdness.com/post/628791398

There are several ways of getting GPT-3 to generate drawing prompts.

For 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."

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The neural net suggested 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.

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I'm hand-curating the GPT-3 generated 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.

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For the first 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.

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Introducing , 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.

[images: fulltimespy]
aiweirdness.com/post/627344542

murderbug 

Murderbug made its dramatic appearance inside my shirt

In today's disturbing news, I discovered that GPT-3 can write AI Weirdness blog posts.

1st paragraph is my prompt. The rest is GPT-3 simulating the fumbling of a much less powerful neural net.
aiweirdness.com/post/626712039

birdsite user @ConcernedCraig wrote this and I'm so pleased:

my nams janelle
and when a i
at riting pomes
can onli try

and its atempts
ar blest or curst
i sneek rite in
i post the wurst

what inception level is gpt-3 describing a meme from 2019 in a pseudo-chaucerian poetry form from late 2016?

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