Most AI systems are built on three assumptions: you need backpropagation, you need GPUs, and you need to carefully prevent catastrophic forgetting. I wanted to see what happens if you throw all three out. RAVANA is a research prototype that: Learns through prediction errors — like Friston's free energy principle, the system feels "pressure" when predictions fail and self-organizes to reduce it Never forgets — a biologically-inspired sleep cycle (SWS for consolidation + REM ...