Natural Law / Silicon Substrate
A hurricane retains its structure by casting out wind. A living cell retains its structure by casting out heat. Intelligence is no different. It is a dissipative structure that maintains order by casting out surprise.
We are currently witnessing the migration of this principle from the biological substrate (10 watts, high noise) to the silicon substrate (Gigawatts, mathematical precision). This is not a choice; it is a thermodynamic inevitability.
Autonomous Assembly of Neural Structure
A constructive proof that the Free Energy Principle can be realized via exact local credit assignment. This is not a theoretical model; it is a dissipative system running on CUDA.
- Lunar Lander solved in < 30 episodes (no replay buffers).
- 0% Catastrophic Forgetting.
- Sub-50ms latency at full GPU saturation.
The Hard Path to Efficiency
Every major leap in technology requires a new engine. The Transformer architecture changed the world, but it is hitting the "Energy Wall." To go further—from cloud-based chatbots to real-time edge autonomy—we cannot simply add more GPUs. We must rebuild the stack.
Beyond the Chatbot
True intelligence is about more than predicting the next word. It is about understanding the physics of the environment. AANS is an architecture built for the edge, designed to deliver high-performance reasoning with the thermodynamic efficiency of biology. We are building the engine that makes AI sustainable.