ARCHITECTUREMOUHN AV

A model that learns without forgetting.

Mouhn AV is the AI architecture we're developing with a clear goal: a language model that doesn't lose knowledge as it learns more — solving, at the root, one of the biggest limits on today's LLMs for continual learning in real production.

See DAS →Back to MOUHN
THE VISION

Genuine scientific reasoning, not just answers.

The long-term vision is ambitious: scale this training to thousands of H100 GPUs, aiming to build a system capable of genuine scientific reasoning — not just answering questions, but thinking and investigating like a real scientist.

Today

We're in the small-scale validation phase, testing and confirming every piece of the architecture before scaling — every result we publish here has already been rigorously measured, not projected.

01

Validate each piece

Small scale, the same proof discipline as the rest of MOUHN: measure before announcing.

02

Scale the training

Thousands of H100 GPUs, the same architecture, without swapping out what's already validated.

03

Scientific reasoning

A system that investigates, not just answers — Mouhn AV's end goal.

The first piece already validated: DAS (Durable Anchor System), absolute zero deviation in prior knowledge, measured and reproduced across multiple domains.

See DAS →

The second piece: ACE (Adaptive Core Experts), zero experts wasted during training, measured across model scales — integrated with DAS.

See ACE →