Language is our oldest technology, and Sasha Stiles is upgrading the operating system.

Sasha Stiles is a first-generation Kalmyk-American poet and AI researcher whose practice sits at the intersection of text and experimental media. Her current MoMA installation, A LIVING POEM, functions as an infinite text that continuously rewrites itself.

It turns a museum screen into an evolving, immersive system.

In collaboration with the National Arts Club and its Art and Technology Committee, this conversation with Sasha will dive into the technical and philosophical hurdles of building poetic intelligence.

You'll learn how she moves past the hype of large language models to look at the mechanics of co-authorship between humans and machines.

Are You Using AI? Here's Why You Should Attend:

While the project lives in a museum, the underlying engineering addresses core challenges in generative AI development. Practitioners should attend to observe how these concepts are applied in a high-stakes, public environment:

👤 Bespoke Model Training: Sasha built a custom language model trained on her own writing and voice to create an AI alter ego named Technelegy.
🎛️ Technical Levers and Prompt Engineering: The installation uses curated prompts and formal levers to control parameters like tone, length, and structure.
🔄 Recursive Output: The poem performs itself anew roughly every 60 minutes; no two visits are exactly the same.
✍️ Cursive Binary: This custom typeface merges handwriting with binary code to visualize the fusion of human and machine language.
⛓️ Blockchain and Provenance: As a co-founder of theVERSEverse, Sasha explores how digital poetry behaves on the blockchain and uses digital animation to test how language behaves when partially automated.

If you are building LLMs, exploring decentralized art, or interested in the future of human-computer interaction, you should definitely join us for a deep look into how generative systems can augment rather than replace human creativity.

Algorithm of Authorship: Sasha Stiles on Poetic Intelligence