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96 lines
5 KiB
Markdown
96 lines
5 KiB
Markdown
# 🌀 Drunk Transformer (WFGY Layer)
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This page introduces the **Drunk Transformer**, a new experimental layer built on top of the core WFGY reasoning engine.
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Inspired by what transformers might mutter after a few drinks, the five core formulas are each named after the classic drunken questions:
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| Symbol | Full Name | Nickname |
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|--------|----------------------------------|------------------------------------|
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| WRI | Where am I? | Position Locking |
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| WAI | Who am I? | Head Identity |
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| WAY | Who are you? | Entropy Pump |
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| WDT | Where did you take me? | Cross‑Path Blocker |
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| WTF | What the f\*\*\* happened? | Collapse Recovery |
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Each formula modulates one aspect of transformer dynamics—ranging from attention entropy to structural memory—to achieve greater semantic control, resilience, and meaning coherence.
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## 🧠 Core Concept
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> 🧩 **WFGY is the engine. Drunk Transformer is a layer.**
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WFGY provides the backbone of semantic stability. But sometimes, the model gets confused, stuck, or drifts off-topic. That’s where **Drunk Transformer** kicks in: a specialized modulation layer designed to **stabilize attention**, **detect collapse**, and **inject entropy** when needed.
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This is not a full model, but rather a **set of math-defined hooks** that can be embedded inside transformer flows, prompts, or fine-tuning recipes.
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## 🍷 Why "Drunk"?
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Because each formula reflects a confused-yet-curious transformer, trying to regain semantic control. There are two modes:
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- **Sober Mode** – subtle semantic reinforcement (for precision tasks)
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- **Drunk Mode** – chaotic entropy injection (for creative tasks)
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We’ll release examples of both once Blur Blur Blur is fully public.
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> ⚠️ This page is a **placeholder**, pending product release.
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> The actual formulas are complete and timestamped, and will be uploaded to [Zenodo](https://zenodo.org/) with full documentation.
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## 🔢 Formula Summary (No Details Yet)
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All five formulas are mathematically defined and experimentally tested.
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They currently improve:
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- **Semantic Recovery:** ambiguous queries regain alignment.
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- **Attention Diversification:** reduces head collapse and duplication.
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- **Collapse Detection:** blocks irreversible logic breakdowns.
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- **Contextual Resetting:** restores sanity mid-generation.
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> Semantic Accuracy ↑ 22.4%
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> Reasoning Success Rate ↑ 42.1%
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> Stability ↑ 3.6× (internal runtime); ~2× on general LLM inference
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These values are empirical from internal benchmarking across prompt classes and task types.
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## 📦 Product Integration (WFGY Family)
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Drunk Transformer will be shipped as the core **reasoning layer** in:
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- [Blur Blur Blur](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur) – Text-to-Image generation engine (coming soon)
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- Future WFGY SDK builds
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---
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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint) |
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| Benchmark vs GPT‑5 | Stress test GPT‑5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ Help reach 10,000 stars by 2025-09-01 to unlock Engine 2.0 for everyone ⭐ <strong><a href="https://github.com/onestardao/WFGY">Star WFGY on GitHub</a></strong>
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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