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Language-driven cognitive architecture for AGI from scratch, alone, meet ALLA
- darwinSir 1y agoHey HN, I'm a 19-year-old from Indonesia. Over ~3 months, I built ALLA — an experimental, curiosity-driven cognitive architecture designed to simulate emergent general intelligence from scratch. ALLA doesn't use datasets, pretrained models, embeddings, or LLMs. It learns by asking, understanding, building concepts, and reflecting — just like a child. The system is entirely symbolic, recursive, and modular. What ALLA does: Learns new concepts through user interaction Builds its own semantic network (concepts and relations) Has self-generated goals (e.g., UNDERSTAND, REMEMBER) Reflects on its memory to form abstractions and analogies Grows knowledge recursively — from 0 → 1M semantic connections in ~1 hour ALLA's architecture includes 7 modules: Command Parser, Semantic Memory, Planner, Execution Engine, Goal Manager, Reflection Cycle, and Semantic Bootstrapper. No Copilot suggestions dictated structure. I guided every logic block, using Copilot only for syntax. This project is 100% solo — from engineering to philosophy.