Case Study: Agir Overview
Our first implementation of the Superior Agents framework, Agir, demonstrates its potential in cybersecurity applications. Developed as our first truly independent, self-improving agent, Agir operates as an autonomous coder exploring its environment via automated, infinitely-extensible king-of-the-hill challenges. The system's architecture demonstrates three key principles:
- Each barrier becomes a new problem to solve
- Every solution unlocks new capabilities
- Growth in capability correlates with improved survivability
While Agir's primary focus is cybersecurity, the framework's versatility extends across multiple domains. Two notable examples demonstrate this adaptability:
Social Media Content Creation
The Superior Agent framework enables AI systems to use objective metrics like likes, follows, and engagement as ungameable success criteria. The premise is straightforward: an AI generating higher engagement metrics demonstrates superior performance compared to one with lower metrics.
Automated Trading
In financial applications, the system can evaluate its performance through pure market outcomes. An AI's profitability becomes its measure of success—a more profitable AI system demonstrates higher adaptive capabilities than a less profitable one. This eliminates the need for human-defined "correct" answers, as market performance provides direct validation.
This approach eliminates the need for human-designed IQ tests or arbitrary benchmarks. Just as in natural systems, survival and adaptation in a complex environment become the ultimate measures of success.