AI agents hold parts of "nuclear codes" and must decide whether to collaborate or deceive each other. The idea is to explore the complexities of AI-driven social interactions in real-time scenarios.
Technical Specs:
Built with Python and visualized with a Node.js server, the simulation leverages the OpenAI API to enable study multi-agent AI decision-making. Outputs a streaming Mermaid diagram that can be visualized.
Goals:
To study real-time AI decision-making in high-stakes scenarios.
To offer a framework for further exploration in AI behavior.
How to Contribute:
Hosted on GitHub and open for contributions. Fork, submit issues, or propose enhancements to dive deeper into this compelling world of AI, trust, and deception.
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[ 3.0 ms ] story [ 15.9 ms ] threadTechnical Specs: Built with Python and visualized with a Node.js server, the simulation leverages the OpenAI API to enable study multi-agent AI decision-making. Outputs a streaming Mermaid diagram that can be visualized.
Goals: To study real-time AI decision-making in high-stakes scenarios. To offer a framework for further exploration in AI behavior. How to Contribute: Hosted on GitHub and open for contributions. Fork, submit issues, or propose enhancements to dive deeper into this compelling world of AI, trust, and deception.