---
title: README
emoji: ⚡
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
---

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# 🌌 **Mythic Artificial Intelligence**
### *by MythicGames*

**Building the next generation of merged language models**

🌐 [Visit our platform](https://mythicgames.ru) · 💬 [Chat with MAI models](https://mythicgames.ru/app) · 📂 [All Models](https://mythicgames.ru/models)

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---

## 🧬 Model Families

MAI models follow a unified naming convention:

```
MAI M{version} {Specialization} {Variant}
MAI {version} {Variant}
MAI C{version} {Variant}
MAIGEN {version} {Specification}
MAIMIND {version} {Specification}
MAITTS {version} {Specification}
MAIEDITOR {version}.{Date of release} {Update feature name}
```

| Component | Meaning | Examples |
|---|---|---|
| **M{version}** | Generation / major version | M1, M2, M3, M4 |
| **Specialization** | Primary task focus | Coder, Chat, Reason, Vision |
| **Variant** | Speed / depth profile | Fast, Thinking |

---

### ⚡ Variant Breakdown

| Variant | Philosophy | Latency | Depth | Best For |
|---|---|---|---|---|
| 🟢 **Fast** | Speed-first. Minimal chain-of-thought, instant responses | 🔽 Low | Standard | Code generation, quick Q&A, real-time chat |
| 🟣 **Thinking** | Depth-first. Extended internal reasoning before answering | 🔼 Higher | Deep CoT | Math, logic, complex analysis, research |

> **Rule of thumb:** If you need an answer *now* — use **Fast**. If you need the *right* answer to a hard problem — use **Thinking**.

---

## 📋 Full Model Registry

| Model | Specialization | Variant | MSPLIT | MCE | Power (×) | Context | Status |
|---|---|---|---|---|---|---|---|
| **MAI M3 Coder Fast** | Reasoning | Fast | 3A | 2.74 | ~3.2× | >1M | 🟢 Active |
| **MAI M3 Coder Thinking** | Reasoning | Thinking | 3A | 2.74 | ~3.2× | >1M | 🟢 Active |
| **MAI M4 Coder Fast** ⭐ | Code | Fast | 4A | 3.16 | ~4.3× | >1M | 🟢 **Flagship** |
| **MAI M4 Coder Thinking** | Code | Thinking | 4A | 3.16 | ~4.3× | >1M | 🟢 Active |
| **MAI M5 Coder Fast** | Multimodal | Fast | 4A | 3.16 | ~4.3× | >1M | 🔵 Coming Soon |

---

## 📐 The MAI Math — Formulas & Coefficients

### 1️⃣ Power Multiplier Formula

Every MAI model's effective performance boost is calculated using:

```
                    MCE² × 8
Power (×)  =  ─────────────
                  9.3 × 2
```

Or simplified:

```
Power = (MCE² × 8) / 18.6
```

| Variable | Full Name | Description |
|---|---|---|
| **MCE** | Merge Coefficient Exponent | Core efficiency metric of the merge. Higher = better synergy between merged weights |
| **8** | Base Parameter Scalar | Constant tied to the 8-expert routing in the merge pipeline |
| **9.3** | Normalization Factor | Empirical constant derived from benchmark calibration |
| **2** | Dual-pass Divisor | Accounts for the two-pass merge verification in MSPLIT |

---

### 2️⃣ MCE Progression Across Generations

MCE grows with each MSPLIT generation following a **square-root scaling law**:

```
MCE(n) = √(2.5 × n)
```

Where `n` = MSPLIT generation number.

| MSPLIT Gen | n | MCE = √(2.5n) | MCE² | Power (×) |
|---|---|---|---|---|
| 3A | 3 | √7.5 ≈ **2.74** | 5 | ~3.23× |
| 4A | 4 | √10.0 ≈ **3.16** | 10.0 | **~4.30×** |
| 5A *(projected)* | 5 | √12.5 ≈ **3.54** | 8 | ~5.38× |
| 6A *(projected)* | 6 | √15.0 ≈ **3.87** | 16 | ~6.45× |

> 📈 **Insight:** Power scales *linearly* with MSPLIT generation because MCE² = 2.5n, so Power = (2.5n × 8) / 18.6 ≈ **1.075n**. Each new generation adds roughly **+1.08×** to the multiplier.

---

### 3️⃣ Context Window Scaling

Context length doubles with each major version:

```
Context(v) = 64K × 2^v
```

| Version (v) | Calculation | Context Window |
|---|---|---|
| M3 (v=3) | 64K × 2³ | **1,024K** |
| M4 (v=4) | 64K × 2⁴ | **1,024K (>1M)** |
| M5 *(projected)* | 64K × 2⁵ | **2,048K (~2M)** |

---

### 4️⃣ Effective Intelligence Index (EII)

To compare models holistically, we use the **EII** — a single score combining power and context:

```
EII = Power(×) × log₂(Context / 1K)
```

| Model | Power (×) | Context | log₂(C/1K) | **EII** |
|---|---|---|---|---|
| MAI M3 Reason Fast | 3.44 | 1024K | 4 | **29.07** |
| **MAI M4 Coder Fast** | 4.30 | 1024K | 10 | **43.00** ⭐ |
| MAI M5 *(projected)* | 6.88 | 2048K | 8 | **59.18** |

> 🎯 **Notice the pattern?** EII ≈ 4.3 × n × (n + 6) / 10 — it grows *quadratically*, meaning each generation is dramatically more capable than the last.
> Models like M5 will use: **64 / 9.3**, without **/ 2**

---

### 5️⃣ Fast vs Thinking — Speed-Depth Tradeoff

```
                    Base Latency
Fast Latency   =  ─────────────
                     Power(×)

Thinking Latency = Base Latency × Thinking Depth Factor (TDF)
```

Where **TDF** typically ranges from **3× to 8×** depending on problem complexity.

| Variant | Relative Latency | Relative Accuracy (hard tasks) |
|---|---|---|
| Fast | **1×** (baseline) | ~85–92% |
| Thinking | **3–8×** slower | ~94–99% |

> 💡 **When to switch?** If Fast gives a confident answer → stay with Fast. If it hedges or the task involves multi-step reasoning → switch to Thinking.

---

## 🔬 MSPLIT Technology — How It Works

```
┌──────────────┐     ┌──────────────┐     ┌──────────────┐
│  Base Model │     │  Base Model │     │  Base Model │
│      A      │     │      B      │     │      C      │
└──────┬───────┘     └──────┬───────┘     └──────┬───────┘
      │                   │                   │
      └─────────────┬───────┘────────────────────┘
                   │
            ┌───────▼────────┐
            │  PEREX MERGE  │  ← Weighted parameter fusion
            │   Pipeline    │
            └───────┬────────┘
                   │
            ┌───────▼────────┐
            │   MSPLIT nA   │  ← Split-verify-remerge (n passes)
            │  Optimization │
            └───────┬────────┘
                   │
            ┌───────▼─────────┐
            │  Final Merged  │
            │     Model      │  → MCE = √(2.5 × n)
            └─────────────────┘
```

**MSPLIT (Multi-Stage Parameter Splitting)** works in three phases:

1. **Merge** — Multiple base models are fused using the Perex Merge weighted-average pipeline
2. **Split** — The merged weights are split into parameter subgroups and independently evaluated
3. **Re-merge** — Only the highest-performing parameter configurations survive and are re-merged

Each MSPLIT generation (3A → 4A) adds an additional split-verify pass, increasing MCE and therefore the power multiplier.

---

## 🛡️ Access & Licensing

| | |
|---|---|
| **Access** | 🔒 Private — all models are served exclusively through our platform |
| **Hosting** | Puter.js |
| **Weights** | Not publicly distributed |
| **API** | Available through the MAI website |
| **Commercial Use** | Contact MythicGames for licensing |

---

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### 🌌 *"The future of AI is here"*

**Mythic Artificial Intelligence · MythicGames · 2026**

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