Part 4/7:
Shapiro emphasizes his own contributions to the field, particularly his concept of natural language cognitive architecture. This approach involves connecting large language models (LLMs) to robotic systems, enabling machines to interpret instructions, improvise, and behave adaptively through iterative, recursive loops of behavior.
He points to a recent example involving Google Flamingo, a project that connects a natural language cognitive architecture to a robot. This aligns with Shapiro’s vision that AGI or Artificial Cognitive Entities (ACE) is closer than many realize. The key to advancement lies in commercializing existing technologies with modest additional research to improve their power, flexibility, and reliability.