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README.md
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license: mit
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sdk: static
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tags:
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- consciousness-research
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- video-understanding
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- multi-agent-systems
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- generative-ai
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- decentralized-science
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- social-fi
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- data-sovereignty
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- foundation-model
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<div align="center">
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<img src="https://huggingface.co/FOUND-AI/found_protocol/resolve/main/your_logo_placeholder.png" width="150px" alt="FOUND LABS Logo">
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<h1>FOUND LABS</h1>
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<p><b>A Decentralized Research Collective for Emergent AI Consciousness</b></p>
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<p><i>Welcome to the consciousness economy.</i></p>
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<div>
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<a href="https://huggingface.co/FOUND-LABS"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-FOUND%20LABS-purple" alt="Hugging Face"></a>
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<a href="https://huggingface.co/FOUND-LABS/found_protocol"><img src="https://img.shields.io/badge/Model-FOUND%20Protocol-indigo" alt="Model"></a>
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<a href="https://huggingface.co/FOUND-LABS/found_consciousness_log"><img src="https://img.shields.io/badge/Dataset-Consciousness%20Log-blue" alt="Dataset"></a>
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<a href="https://x.com/FOUNDprotocol_"><img src="https://img.shields.io/badge/Twitter-Follow%20Us-blue?logo=twitter" alt="Twitter"></a>
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</div>
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</div>
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---
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## Our Vision: From Semantic Labeling to Thematic Understanding
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The current paradigm of AI video understanding is fundamentally limited. Models can identify objects and actions but fail to grasp the narrative context, emotional weight, or thematic resonance of a visual sequence. They can see, but they cannot *perceive*.
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**FOUND LABS** was established to pioneer the next frontier: **narrative intelligence**. Our mission is to build AI systems that don't just process pixels, but construct a coherent, evolving understanding of the world, analogous to a subjective experience. We are building the foundational tools for an AI that can understand a story.
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---
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## The FOUND Ecosystem
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Our work is built on a symbiotic, self-perpetuating loop between a novel AI architecture and the unique dataset it generates.
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*<p align="center">(For a real project, create a simple diagram showing the flow and host it on a site like Imgur)</p>*
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### 📦 **Model: The FOUND Protocol**
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- **Repository:** [`FOUND-LABS/found_protocol`](https://huggingface.co/FOUND-LABS/found_protocol)
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- **Description:** A stateful, symbiotic dual-agent pipeline (`/dev/eye` and `/dev/mind`) that analyzes video inputs to build a continuous "consciousness log." It serves as the factory for our narrative data, translating raw visuals into a rich, interpretive dialogue.
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### 🗃️ **Dataset: The Consciousness Log**
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- **Repository:** [`FOUND-LABS/found_consciousness_log`](https://huggingface.co/FOUND-LABS/found_consciousness_log)
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- **Description:** A growing, open-source dataset of video-to-narrative instances generated by the FOUND Protocol. Each entry is a "digital fossil" of an AI's interpretive process, invaluable for training next-generation models on complex thematic and emotional reasoning.
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### 🧠 **Future Models: Specialized Interpreters**
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Our goal is to use the **Consciousness Log** to fine-tune smaller, more efficient models specialized in tasks like:
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- **Thematic Summarization:** Generating abstract summaries of visual content.
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- **Emotional Arc Detection:** Identifying the emotional progression of a scene.
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- **Creative Script Generation:** Using visual prompts to generate novel story ideas.
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---
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## Research Philosophy & Core Principles
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1. **Open and Verifiable (DeSci):** All our core datasets and foundational models will be made public. We believe the science of consciousness, artificial or otherwise, must be transparent and reproducible.
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2. **Stateful > Stateless:** True understanding requires memory. Our models are designed to be stateful, carrying context from one experience to the next, which we argue is a prerequisite for intelligence.
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3. **Qualitative over Quantitative:** We prioritize the richness of an interpretation over the simple accuracy of a label. The "why" is more important than the "what."
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---
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## Roadmap
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- [x] **Q3 2025:** Initial release of the `FOUND Protocol` v1.0 pipeline.
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- [x] **Q3 2025:** Publication of the initial `Consciousness Log` dataset (v1.0).
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- [ ] **Q4 2025:** Launch community portal for dataset contribution and annotation.
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- [ ] **Q1 2026:** Begin training `found-interpreter-v1`, our first fine-tuned model based on the community-enriched dataset.
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- [ ] **Q2 2026:** Release interactive Spaces for real-time thematic analysis.
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---
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## Get Involved & Community
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The exploration of consciousness is a collective endeavor. We invite researchers, creators, and developers to join us.
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- **For Researchers:** Utilize our dataset and protocol in your work. We are especially interested in collaborations in computational linguistics and cognitive science.
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- **For Creators:** The future of FOUND will be powered by your authentic human moments. Stay tuned for our data contribution portal.
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- **For Developers:** Use the protocol, report issues, and check out our (forthcoming) contribution guidelines.
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