First Principles First builds AI agents that act as autonomous proxies for secure task management. Their platform uses edge-based, distributed models and computational scientific methods to improve truthfulness, learning, and decision-making in societal and economic processes.
Funding
Funding not disclosed
Founders
Product
Problem
Current approaches to societal and economic processes often lack scientific rigor, leading to uncertainty, inefficient learning, and difficulty in achieving consensus. This gap hinders the ability to accurately model complex systems and mitigate risks effectively.
Solution
First Principles First develops AI agents designed to function as autonomous human proxies, capable of secure task management across diverse domains. The platform focuses on creating edge-based, distributed models that prioritize data privacy and identity sovereignty. By embedding computational scientific methods, such as active inference and the free energy principle, into societal processes, the company aims to enhance truthfulness, accelerate learning, and improve decision-making in areas like governance and finance.
Target Audience
The primary audience includes researchers, policymakers, and organizations seeking to apply rigorous scientific frameworks to complex societal and economic challenges, particularly those interested in advanced AI and computational modeling.
Features
- Development of AI agents based on computational neuroscience and physics principles, including Active Inference and the Free Energy Principle.
- Edge-based, distributed model architecture designed for enhanced data privacy and identity sovereignty.
- Application of scientific methods to model and improve societal, economic, and governance processes.
- Focus on creating transparent, human-intelligible dynamic causal models for complex phenomena.
- Exploration of agentic economics and bioregional finance through scientific modeling.
- Facilitation of evidence-based collective deliberation and belief alignment through principled AI agent frameworks.
- Research into the interface of classical and quantum consciousness and its implications for AI.