Talk at AI Journey 2019 in Moscow

Talk Summary

In this presentation at AI Journey 2019 in Moscow, Dr. Arthur Franz advocates for a systematic, top-down approach to Artificial General Intelligence (AGI). Starting from a rigorous mathematical definition of intelligence—an agent's ability to achieve goals across a wide range of environments using insufficient knowledge and resources—the talk addresses the practical path to implementation. Rather than building narrow, domain-specific AI models from scratch, Dr. Franz proposes "filling the cup from the bottom up." By creating a system that is fundamentally general from the very beginning, it can initially solve a variety of simple tasks across different domains (from regressions in big data to games like tic-tac-toe and image perception). As the system's foundational complexity scales, it enables increasingly powerful, practical spin-offs.