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README.md

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+# 🔺 Project Prism
+
+**Project Prism is an experimental AI architecture research project by SmilyAI Labs.**
+
+We are investigating a simple question:
+
+> **Does one neural network really need to learn knowledge, computation, and working memory in the same way?**
+
+Our current research model, **Orion Flagship**, explores an architecture we call **Transformer 2 (T2)**.
+
+## Transformer 2
+
+Traditional language models largely rely on a homogeneous stack of Transformer layers to learn many different functions at once.
+
+T2 explores separating several of these roles:
+
+**KNOW** — sparse learned memory for persistent knowledge  
+**DO** — reusable neural procedures for computation and transformation  
+**THINK** — persistent working state for intermediate reasoning  
+**VERIFY** — additional computation for checking and refining results
+
+The goal is to investigate whether this separation can improve parameter and compute efficiency while retaining strong general capabilities across language, code, mathematics, and reasoning.
+
+## 🌌 Orion Flagship
+
+**Orion Flagship** is the primary experimental model being developed under Project Prism.
+
+The planned flagship architecture targets approximately:
+
+- **7B total parameters**
+- **~1B active parameters**
+- Sparse Knowledge Vault
+- Shared Procedure Banks
+- Persistent Working State
+- Adaptive recurrent deliberation
+- General-purpose language, code, and mathematical reasoning
+
+Before scaling to the full model, we are testing the architecture with smaller prototypes and controlled ablations.
+
+## 🧪 Current research
+
+Our current Mini-T2 experiments are investigating:
+
+- whether learned memory develops useful knowledge retrieval;
+- whether Procedure Banks develop reusable computational specialisation;
+- whether Working State improves multi-step reasoning;
+- whether recurrent deliberation improves difficult problems;
+- and whether these components provide measurable advantages over compute-matched Transformer baselines.
+
+**Results are experimental. Claims about architectural improvements will be based on controlled evaluations and ablations rather than training loss alone.**
+
+---
+
+### Project Prism
+
+**KNOW · DO · THINK · VERIFY**
+
+*Exploring what comes after the conventional Transformer.*