Artificial General Intelligence
Artificial General Intelligence (AGI) aims to create AI systems possessing human-level cognitive abilities across diverse domains, encompassing reasoning, learning, and problem-solving. Current research heavily focuses on leveraging large language models (LLMs) and their extensions, such as multimodal LLMs and LLM-based agents, to achieve this goal, exploring their capabilities in various tasks and environments, including game playing, scientific discovery, and even autonomous driving. This pursuit holds immense significance, potentially revolutionizing numerous fields through the development of more adaptable and versatile AI systems capable of tackling complex real-world problems. The integration of techniques like mixture of experts and the exploration of "specialized generalist" AI models are also key areas of investigation.
Papers
Metagoals Endowing Self-Modifying AGI Systems with Goal Stability or Moderated Goal Evolution: Toward a Formally Sound and Practical Approach
Ben Goertzel
ActPC-Chem: Discrete Active Predictive Coding for Goal-Guided Algorithmic Chemistry as a Potential Cognitive Kernel for Hyperon & PRIMUS-Based AGI
Ben Goertzel