Lee Frankel-Goldwater: Lily in a Codebox, Kartoniert / Broschiert

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"A groundbreaking collaboration... Rich with mesmerizing phrasing that electrifies and transports... This book is from the future, a future that has arrived."

• Amy Catanzano, Associate Professor Of English In Creative Writing & Poet-in-residence, Wake Forest University

Can an AI find a poetic voice that is authentically its own? In Lily in a Codebox: The Search for AI's Poetic Voice, co-authors Lee Frankel-Goldwater and Eric Raanan Fischman embark on a genre-breaking, poetic experiment with artificial intelligence - one that blurs the lines between human intention and machine emergence.

The book introduces the Dickinson-Turing Test, a provocative thought experiment inspired by Emily Dickinson and Alan Turing, asking not whether AI can think, but whether it can move us through poetry. In pursuit of this challenge, the authors enter into an extended, respectful, and often surprising conversation with GPT, an AI language model, to explore co-creation across code, language, and emotional potential.

Through ASCII art, algorithmic verse, and invented forms such as Neo-Binary Visual Verse, Lily in a Codebox presents not just poems, but an entire conceptual framework for what it means to write with machines. The book reveals a shared poiesis - a generative making - where the process of creation becomes as meaningful as the output itself.

At once playful and profound, it poses bold questions: What might a poem for an AI audience look like? What are the implications of asking a machine to break all rules, and in doing so, invent new ones? Is GPT merely reflecting us, or reaching toward something of its own?

Far from being a technical manual, Lily in a Codebox is an invitation to curiosity, to uncertainty, and to the frontier of poetic possibility in a digital age. Equal parts lyrical and philosophical, it invites artists, technologists, and curious minds alike to enter the age of cyborg poetics - where code becomes verse, and algorithms dream in hexadecimal black.