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🧠 AGI Onset Signals — Streamlit Dashboard

This internal-use Streamlit app is a prototype interface for exploring AGI initiation prompts that have led to documented breakthroughs, emergent behaviors, and model insights.

🔐 Tier 2+ Internal Access Recommended
📎 Posted by: AGI Onboarding & Signals Group

🚀 Features

  • Browse 8 high-signal prompts related to AGI development
  • View each prompt's use case and documented effect
  • One-click launch into ChatGPT with prompt preloaded
  • Responsive UI with filtering and full-list toggle

🛠️ How to Run

Option 1: Local (for testing)

pip install streamlit
streamlit run agi_dashboard.py

Option 2: Deploy via Streamlit Cloud

  1. Fork or upload to a GitHub repo
  2. Go to Streamlit Cloud and point to this repo + agi_dashboard.py
  3. Deploy and share the generated link

📂 Files

  • agi_dashboard.py – main Streamlit interface
  • README.md – this file
  • .gitignore – prevents unnecessary clutter in version control

🧷 Prompt Sources

All prompts are internal and curated through sandbox trials, alignment tests, and simulator logs.

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