GLoW Reimplementation
in progressClean reimplementation of the Global Latent Workspace architecture in PyTorch, with modular domain encoders and a shared latent broadcast space.
Victor Monnot
AI researcher & engineer working on global workspace architectures, multi-agent systems, and the foundations of post-language communication.
Clean reimplementation of the Global Latent Workspace architecture in PyTorch, with modular domain encoders and a shared latent broadcast space.
Agent-based simulation environment exploring emergent collective behaviors from simple local interaction rules.
Public-facing website for the EOS brand-vision — documenting humanity's transition towards augmented intelligence and space exploration.
Global Workspace Theory is one of the most promising — and underexplored — frameworks for building AI systems that actually integrate information like brains do.
How I use science fiction as a design tool — starting from a vivid picture of the future and working backwards to identify the technical bricks that need to exist.
Technical notes from reading through the Shimmer codebase and the GLoW architecture — what works, what's unclear, and what I want to extend.