Large Language Objects: The Design of Physical AI and Generative Experiences

Large language models (LLMs) have shown an unprecedented ability to generate text, images, and code, surpassing in many ways our own human capabilities and promising to have a profound impact on design and creativity. While powerful, however, these new forms of intelligence remain largely ignorant o...

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Bibliographic Details
Main Authors: Coelho, Marcelo, Labrune, Jean-Baptiste
Other Authors: Massachusetts Institute of Technology. Department of Architecture
Format: Article
Language:English
Published: Association for Computing Machinery 2024
Online Access:https://hdl.handle.net/1721.1/155549
Description
Summary:Large language models (LLMs) have shown an unprecedented ability to generate text, images, and code, surpassing in many ways our own human capabilities and promising to have a profound impact on design and creativity. While powerful, however, these new forms of intelligence remain largely ignorant of the world outside of natural language, lacking knowledge of our objects, bodies, and physical environments. Large languages objects (LLOs) are a new class of artifacts that extend the capabilities of LLMs onto the physical world. Through general-purpose language understanding and generation, these design objects revisit and challenge traditional definitions of form and function, heralding the design of physical AI as a new frontier for design. In this article, we describe a series of LLOs developed at the MIT Design Intelligence Lab (https://designintelligence.mit.edu/) that combine generative and discriminative models to reveal a host of new applications for AI, from new ways of experiencing music or creating and telling stories to new forms of play, communication, and creating physical forms. These LLOs provide a glimpse at a new kind of creative process that weaves together the capabilities of human and artificial intelligence from the early stages of concept development through form-finding, fabrication, and interaction.