Algorithmic
Research Group

We study how software and industrial systems recursively improve themselves in real-world settings.

// Research

Teaching Models to Bluff: Measuring Deception, Belief, and Coordination in LLM Secret Hitler

I wired up five LLM agents to play the social-deduction game Secret Hitler with structured logging.

ai-research / agi / recursive-improvement
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// About

Recursive self-improvement is beginning to shape both software and industry. In software, AI systems are increasingly involved in designing, training, and optimizing other AI systems. Progress compounds through algorithmic advances and improvements in computing hardware.

In the physical world, similar dynamics are emerging in robotics, manufacturing, and supply chains, where automated systems increasingly optimize the processes that produce, deploy, and refine them.

Algorithmic Research Group studies recursive systems in practice. We measure progress, develop tools, and analyze how recursive improvement changes the behavior and capabilities of real-world systems.

Our work focuses on understanding the dynamics, limits, and impacts of self-improving systems across software and industrial domains.

// Writing

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