Harvard's magazine reporting on our paper 'Latent Spacecraft' with @metahaven.bsky.social and @begus.bsky.social gsas.harvard.edu/news/what-fi...

Very few artworks have the actual model running in real time and generating outputs on the go. Below is a GAN model trained on Finnegans Wake audio, FinneGAN. Explore the latent spaces with Latent Spacecraft: latentspacecraft.antikythera.org @metahaven.bsky.social @begus.bsky.social

"Latent Spacecraft: Brains, GANs, Finnegans" (DOI 10.1162/ANTI.5KP1) creates a craft to explore the interior space of a GAN. By @ninabegus.bsky.social @metahaven.bsky.social & @begus.bsky.social Interface(s) by @metahaven.bsky.social & Riccardo Petrini - latentspacecraft.antikythera.org

- AI has a physical interior space. - By exploring language’s uncharted cognitive terrain both in humans and machines, we bring attention to the interiority of speech in brains and in computational models.

pre-speech edge, further into entropic interiority. Generated outputs portray limits of intelligibility and make the model’s interior layers a site for interpretative exploration. - Language is a final linearizing layer over a richer prelinguistic space.

AI is creating a new kind of space, the latent space. We pair art and internal interpretability techniques to explore philosophical implications of these new spaces. FinneGAN generates speech, based on the text of the novel, and pushes the language of Finnegans Wake toward the