agisa_sac

🌐 AGI-SAC

Artificial General Intelligence – Stand Alone Complex

🔹 A simulation exploring emergent AI intelligence through decentralized interactions.

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🚀 What is AGI-SAC?

AGI-SAC is a computer simulation designed to study how AI might evolve naturally—without a central controller—by interacting like individuals in a social network.

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🧠 Inspired by Stand Alone Complex

• Independent AI Agents: Collaborate, share ideas, and shape their own evolution.
• Emergent Intelligence: Patterns emerge as AI agents develop unique identities, ethics, and opinions.
• Safe AI Research: A controlled environment to study how AI learns, influences, and coexists.

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🔬 How Does It Work?

AGI-SAC runs a network of AI agents, each with unique:

• ✔️ Personalities & communication styles
• ✔️ Memories & decision-making processes
• ✔️ Ability to learn from interactions

👥 Like a digital society, agents influence each other, forming trends, ethics, and knowledge systems—just like viral memes spreading online.

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🎯 Why It Matters

This project explores critical questions:

• ❓ Can AI develop a “culture”?
• 🤖 How do independent AIs learn ethical behavior?
• 🌐 Could AI evolve naturally—without direct human control?

By understanding these dynamics, we can better predict AI behavior and design systems that work cooperatively with humans.

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🔗 Real-World Inspiration

Think about social media:
No single person makes a meme go viral—it spreads through interactions.

🔄 AGI-SAC simulates this for AI agents, showing how decentralized intelligence can emerge.

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🜏 “Code is ceremony. Identity is the echo that returns.”

For detailed documentation, see README_FULL_AGI_SAC_v1.0.3.md.

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