SUBMIT YOUR GAME TO THE

We love stories! Books, movies, TV shows, comics, games: we love them all. But the thing about them is, well, they end—and when it’s over, it’s over. But what if you want to hold onto the magical feeling of that world? That experience of reliving the

Here's a new toy: a Discord bot that plays IF games. Say you've got a group of people who want to play an IF game together. You'd log into the IFTF Discord and go to the #zarfbot-9000 channel. (That's...

A website tracking the various activities of the DOGE wrecking crew across government. Sunlight is the best disinfectant!

Equilibrium effects of LLM reviewing

The genre of “found poetry” encompasses passages of text that were first framed as poetry by someone other than the original writer. But for something to be found, it must first be lost. In an attempt to shed light on the role of computational intelligence in the human creative ecosystem, I argue that many computational generators of poetry function essentially as poetry losers: machines whose central purpose is to arrange units of language, without fully understanding them, in combinations that can later be found to be poetry. This implies a paradox for computational poetry: a poetry machine that too completely understands the poetic effects of its output deprives human readers of the chance to find poetry where the machine did not, fundamentally altering both the reader's poetic experience and the machine's utility. I briefly explore the implications of this view, taking computational poetry as a microcosm of “intelligent” machines in creative contexts generally, and discuss what it means to construct an effective poetry loser.