BBS Theory

Balanced Blended Space Paper (Academic Works Link)

This is the original white paper I co-authored with Frederick Bianchi and ChatGPT-4 in October 2023—now published on CUNY Academic Works. It introduces the Balanced Blended Space (BBS) framework, a universal theoretical framework for navigating physical, virtual, and conceptual realities and between cognitive and computational imtelligences. 

What makes this paper especially distinctive for me is its recursive structure: it proposes the foundational principle that AI should be treated as a collaborative partner—while being co-written by an AI collaborator. ChatGPT-4—an earlier version of the language model I now work with—played an active role in shaping arguments, refining definitions, and co-developing the formal syntax that underpins the BBS framework. In doing so, the paper doesn’t just theorize collaboration—it enacts it.

This poster was created for the 22nd Annual City Tech Poster Session in Spring 2024 and represents a key public introduction to the Balanced Blended Space (BBS) framework. I developed it in close collaboration with ChatGPT-4o, using our ongoing conversations to clarify language, structure concepts, and refine visual layout. Several of the design elements and diagrams were generated using DALL·E, which allowed us to rapidly prototype visual metaphors that aligned with the theoretical content.

The poster presents BBS as a universal framework for describing communication and collaboration across physical, virtual, and conceptual realities. It introduces the BBS Quad—a symmetrical structure aligning intelligence and space—and outlines the development of a formal syntax to describe mediation pathways. It also introduces two major extensions of the framework: the Blended Reality Performance System (BRPS) as a modular test platform, and the Blended Shadow Puppet (BSP) meta-project as our initial case study.

Like the original white paper, this poster enacts our central claim: that artificial intelligence is not merely a subject of analysis, but a collaborator in the construction of new knowledge systems. This recursive partnership—using AI to theorize AI partnership—remains at the heart of the BBS project.