Proreus
Labs

Applied AI Research

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01 — Diffusion Architecture

Reverse diffusion

Particles oscillate between pure noise and structured lattice. The denoising schedule governs the phase transition. Move your cursor to inject localized noise into the field.

Interactive · Real-time

02 — Drift Model Architecture

Drifting field

A generator maps noise to samples in one pass. The drifting field V attracts generated samples toward real data and repels them from each other — converging distributions without iterative inference. Move your cursor to introduce a new attractor.

Interactive · Real-time

About

We research AI
architectures that
learn differently.

Proreus Labs is an independent research lab exploring alternative approaches to machine intelligence. We study diffusion-based reasoning, drift architectures for continuous learning, and systems that bridge generative and discriminative paradigms.

Our work is early. We publish what we can and build what we believe in.

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