This episode explores the potential development of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI), offering a human-centric definition for both. The host argues that AGI should be defined as an AI system capable of performing most cognitive tasks as well as an average US knowledge worker in 2022, establishing a clear benchmark. More significantly, the podcast proposes a system for pursuing AGI and ASI by mimicking the human innovation process, which involves a constant exchange and recombination of ideas, similar to the intellectual ferment of the Enlightenment. This system, the host suggests, would involve an idea repository, an idea combination engine, and a rigorous testing phase, all scaled with AI and crowdsourcing. For instance, the host references his own "Substrate" project as an example of crowdsourced idea collection. The host speculates that AGI, manifesting as a knowledge worker replacement, could arrive as early as 2027, with ASI following shortly after. Ultimately, this episode presents a novel approach to achieving AGI and ASI, focusing on scaling the scientific method through technological advancements.
