EP321: Measuring AI intelligence in bits

Title: Agentic System as Compressor: Quantifying System Intelligence in Bits Source: http://arxiv.org/abs/2606.25960v1 Summary: This paper introduces a novel theoretical framework that quantifies agentic system intelligence through the lens of compression efficiency, linking agent capabilities like tool-use and search directly to codelength reduction. It provides a foundational methodology for analyzing, comparing, and optimizing multi-turn agentic workflows under budget and compute constraints.