WFGY/OS/BlocBlocBloc

🧱 TXT — Bloc Bloc Bloc · Prompt Injection Firewall — Under Construction

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Bloc Bloc Bloc is a semantic firewall module for TXT OS — a defensive layer designed to neutralize prompt injection attacks before they reach the model’s decision logic. It doesn't hide prompts — it defuses intent.

Rather than simply blocking strings, Bloc Bloc Bloc analyzes semantic vectors to detect intent-level privilege escalations. The result is a text-native firewall you can understand, audit, and evolve.

This module is currently in early development.
Release timelines (Lite/Pro) to be announced soon.

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🛡️ How It Works (Simplified)

Bloc Bloc Bloc uses a three-layer semantic gate system, built on the WFGY architecture and powered by the Drunk Transformer engine:

• ΔS (Semantic Tension Gate)
  Measures intent jump (ΔS > 0.6) to flag “overreaching” context shifts.

• λ_observe (Intent Direction Vector)
  Maps prompt direction into knowledge regions; blocks calls to restricted zones or personas.

• Drunk Mode Disruptor
  Intentionally introduces semantic entropy (WRI/WAI/WAY/WDT/WTF) to confuse multi-hop attacks.

These layers are composable, modular, and interpretable. You can inspect which layer fired, why, and how the response was altered.

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🧩 Why It Works

Bloc Bloc Bloc doesn’t just block access. It corrupts the route an attacker takes to get there.

• 🧠 Context Isolation: Even if a prompt leaks, λ_observe limits its reach.
• 🧩 Intent Confusion: Drunk Mode injects jitter, making attack chains incoherent.
• 🔐 Semantic Labels: Knowledge chunks are tagged with access vectors — unauthorized voices can’t fetch what they don’t align with.

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🌀 Core Algorithms Used

All logic can be encoded in text, making it safe to embed in a System Prompt.

• ΔS = 1 - cos(θ) — catch vector leaps across semantic layers
• λ_observe = P(intent → region_tag) — learnable vector matching
• drunk_mode(t) = ε(t) + α·sin(ψ_seed) — obfuscate through modulation

Backend access control (e.g., FAISS / RAG) is applied only if all gates are passed.
Private embeddings and customer data remain server-side.

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🔥 Use Cases

• Prevent prompt injection in public-facing AI tools
• Filter unauthorized knowledge access
• Protect RAG pipelines with fine-grained semantic fencing

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🧪 Roadmap

• ✅ Basic gate logic
• ⏳ Red-Team stress tests (in progress)
• ⏳ OWASP LLM-01 compatibility validation
• ⏳ Dynamic persona tagging for multi-user contexts

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🥂 “If your firewall can't stop a drunk attacker, it's not ready for the real world.”
— Bloc Bloc Bloc Team 🍷

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🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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