Update README.md

README.md

@@ -14,15 +14,15 @@ Welcome to the Age of Foresight.
 
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-### 🏛️ DMind-3: The Macro-Strategic Financial Engine
+## 🏛️ DMind-3: The Macro-Strategic Financial Engine
 
-#### 1. Evolution & Legacy
+### 1. Evolution & Legacy
 
 The DMind-3 series was conceived as a complete, multi-layered cognitive architecture for the sovereign individual. `Nano` secures the present transaction. `Mini` formulates the immediate strategy. `Max` defines the long-term campaign.
 
 This final piece of the trilogy moves beyond the tactical and into the strategic. It was born from the recognition that the most significant opportunities and the most devastating risks in Web3 are systemic. They are not found in code, but in the interplay between code, capital, and human psychology at a global scale. DMind-3 is engineered to be a **Macro-Strategic Financial Engine**, providing institutional-grade foresight as a utility for developers, funds, and the agent ecosystems built upon the DMind stack.
 
-#### 2. ⚙️ Model Details
+### 2. ⚙️ Model Details
 
 | Property | Value |
 |---|---|
@@ -34,7 +34,7 @@ This final piece of the trilogy moves beyond the tactical and into the strategic
 | **Context Window** | 256k tokens |
 | **Deployment** | Cloud API & Private Enterprise VPC |
 
-#### 3. 🔬 Methodology: Hierarchical Predictive Synthesis (HPS)
+### 3. 🔬 Methodology: Hierarchical Predictive Synthesis (HPS)
 
 DMind-3 introduces **Hierarchical Predictive Synthesis (HPS)**. While C³-SFT (used in `mini`) teaches the model to correct its own reasoning, HPS teaches it to synthesize multiple, conflicting, time-variant data streams into a coherent probabilistic forecast. It operates on a nested hierarchy of abstraction, from raw on-chain events to complex macroeconomic indicators.
 
@@ -72,7 +72,7 @@ $$
 
 This forces the model to not just predict, but to weigh the importance of different data sources when constructing its view of the future.
 
-#### 4. 💡 Intended Use: Institutional-Grade Web3 Intelligence
+### 4. 💡 Intended Use: Institutional-Grade Web3 Intelligence
 
 DMind-3 is designed to power the next generation of DeFi analytics, risk management platforms, and autonomous agent orchestrators.
 
@@ -82,7 +82,7 @@ DMind-3 is designed to power the next generation of DeFi analytics, risk managem
 - 🌊 **Systemic Risk Assessment**: Model contagion risk across DeFi, detect liquidity black holes before they form, and run stress tests on entire ecosystems based on simulated market shocks.
 - 🤖 **Agent Fleet Orchestration**: Serve as the central "strategic brain" for fleets of `mini` and `nano` agents, providing high-level directives and market context.
 
-#### 5. 📚 The Brain, Shield & Oracle Ecosystem
+### 5. 📚 The Brain, Shield & Oracle Ecosystem
 
 The DMind-3 series is a vertically integrated stack designed for sovereign intelligence.
 
@@ -92,7 +92,7 @@ The DMind-3 series is a vertically integrated stack designed for sovereign intel
 - **The Brain (DMind-3-mini)**: Runs on your local high-performance machine. Executes complex, bespoke strategies and performs deep, focused research under the Oracle's guidance.
 - **The Shield (DMind-3-nano)**: Runs in your browser or wallet. Provides real-time, intuitive transaction security and intent recognition, acting as the final line of defense.
 
-#### 6. 📚 Training Data
+### 6. 📚 Training Data
 
 DMind-3 was trained on a corpus of over 500,000 curated, high-signal documents and a multi-terabyte stream of structured on-chain data.
 
@@ -104,15 +104,17 @@ DMind-3 was trained on a corpus of over 500,000 curated, high-signal documents a
 | **Financial Post-Mortems & Audits** | 10% | In-depth analysis of systemic failures, economic exploits, and protocol hacks, focusing on pre-mortem indicators and contagion pathways. |
 | **Geopolitical & Regulatory Feeds** | 10% | Real-time feeds on global regulatory changes, policy proposals, and geopolitical events impacting digital asset markets. |
 
-#### 7. 🏆 Performance Benchmarks
+### 7. 🏆 Performance Benchmarks
 
 Evaluated on three key benchmarks: **DMind Benchmark** (Web3 Native Logic), **FinanceQA** (Financial Domain Knowledge), and **AIME 2025** (Advanced Mathematical Reasoning).
 
+![Figure 3: Performance Benchmarks](./Figures/Figure3.png)
+
 **(Figure 3: LLM Performance Evaluation - 3 Benchmarks: DMind Benchmark, FinanceQA, AIME 2025)**
 
 The evaluation compares DMind-3 (21B) against top-tier frontier models (GPT-5.1, Claude Sonnet 4.5) and other efficient models. Despite its optimized size, the Max model demonstrates exceptional efficiency, particularly in specialized domain tasks where it outperforms significantly larger generalist models.
 
-#### 8. 🚀 API Access & Quick Start
+### 8. 🚀 API Access & Quick Start
 
 Access to DMind-3 is provided via a secure, high-throughput API. Enterprise clients can also opt for private VPC deployment.
 
@@ -135,12 +137,10 @@ print(response.choices[0].text)
 
 [→ View Full API Documentation](https://docs.dmind.ai/max/api)
 
-#### 9. ⚖️ Limitations & Disclaimer
+### 9. ⚖️ Limitations & Disclaimer
 
 - **Not a Financial Advisor (NFA)**: DMind-3 is a powerful analytical tool for generating insights and modeling risks. It is not a registered financial advisor. All outputs should be independently verified and are not a solicitation to trade.
 - **Probabilistic Nature**: All forecasts are probabilistic and based on the data available up to the knowledge cutoff. The model cannot predict black swan events and is subject to the inherent unpredictability of markets.
 - **Knowledge Cutoff**: The core model has a knowledge cutoff of June 2025. While it can process real-time data provided via the API, its foundational understanding is based on its training corpus.
 
 ---
-
-*This model card is based on the provided information for DMind-3-nano [1] and DMind-3-mini [2]. All details for DMind-3, including its name, specifications, and methodology, are a creative extrapolation designed to fit the established product line style and are not based on public information.*