Our approach to artificial general intelligence

Talk Summary

In this presentation hosted at GoodAI in Prague, Mike Lafleur and Dr. Arthur Franz introduce the mathematical framework driving OCCAM's approach to Artificial General Intelligence. The talk outlines how incremental compression serves as the practical bridge to AIXI-based intelligence. They explain that within resource-bounded settings, advanced cognitive abilities are not hard-coded but instead emerge as special cases of optimal data compression and memory efficiency. The presentation also draws structural parallels between OCCAM's methodology and GoodAI's existing architectures, advocating for compression as a foundational pillar of true machine intelligence.