Vision

I work backwards from a clear picture of the future. Everything I build is a brick in a larger structure. Here's what that structure looks like.

01

BrainNet

The end goal. A post-language communication system where humans, AI agents, robots, and drones equipped with brain-computer interfaces exchange mental representations directly — no lossy translation through words.

Language was humanity's first great compression algorithm. It let us share internal states across brains. But it's lossy, slow, and ambiguous. BrainNet is the next step: a shared representational space where concepts, intentions, and perceptions flow between minds and machines in their native format.

This isn't science fiction — it's an engineering problem with identifiable sub-problems. The fundamental building blocks I've identified:

World Models

Internal simulations of reality that can be shared and synchronized across agents.

Global Workspace Architectures

A shared latent space where specialized modules broadcast and access information — inspired by consciousness theories.

Multi-Agent Systems

Coordination protocols for heterogeneous agents operating with shared goals and representations.

Swarm Intelligence

Emergent collective behavior from simple local rules — the bridge between individual and collective cognition.

02

EOS

EOS is the public-facing identity of everything I'm building towards. It's a brand-vision that embodies humanity's transition into a new era — one defined by the convergence of advanced technology, space exploration, and human augmentation.

Not a company (yet). A documented trajectory. An aesthetic and philosophical framework that wraps around the technical work. The name references the Greek goddess of dawn — the light before a new day.

EOS is what BrainNet looks like from the outside. Where BrainNet is the technical core, EOS is the narrative, the design language, and the public record of the journey.

03

Trajectory

I don't follow a linear career path. I have four parallel axes that feed into each other, and I pursue whichever one has the highest leverage at any given time.

AI / ML Engineering

The primary axis. Global workspace architectures, multi-agent coordination, world models. Currently focused on GLoW (CNRS/CerCo) — reimplementing and extending the Global Latent Workspace architecture.

Low-Level / Embedded / Robotics

The hardware axis. Drone coordination, embedded systems, swarm robotics. BrainNet doesn't exist in the cloud — it needs physical agents in the real world.

Indie Hacker

The funding axis. Building products and tools that generate revenue to sustain the research. Shipping fast, learning markets, staying self-sufficient.

BCI / Human Augmentation

The endgame axis. Brain-computer interfaces, neural signal processing, the direct bridge between biological and artificial intelligence.