This repository serves as a curated, community-driven survey of essential papers and resources related to Artificial General Intelligence (AGI). It aims to provide researchers, engineers, and enthusiasts with a structured overview of key advancements across AGI's internal mechanisms, interfaces, systems, and alignment challenges, facilitating a deeper understanding of the field's progress and future directions.

How It Works

The survey is organized thematically, covering critical aspects of AGI research such as perception, reasoning, memory, metacognition, interfaces to digital and physical worlds, system implementation (architectures, training, inference), and alignment strategies. Each section lists seminal and recent papers, often with direct links to their publications, creating a comprehensive knowledge base. The project actively encourages community contributions to ensure its content remains up-to-date with the rapidly evolving AGI landscape.

Quick Start & Requirements

This is a curated list of research papers and does not require installation or execution. The primary resource is the README itself, which links to external papers and resources.

Highlighted Details

• Comprehensive coverage of AGI sub-fields, from internal cognitive processes to external interfaces and system design.
• Includes a dedicated section on AGI alignment, addressing ethical considerations and safety techniques.
• Features case studies showcasing AGI applications in diverse domains like science discovery, visual intelligence, robotics, and coding.
• Actively maintained with recent updates and community contributions, reflecting the latest advancements.

Maintenance & Community

The project is an ongoing, open initiative with annual paper updates planned. It warmly welcomes community feedback and pull requests, acknowledging contributors on its project website.

Licensing & Compatibility

The repository itself does not appear to have a specific license mentioned in the README. The linked papers are subject to their respective publication licenses.

Limitations & Caveats

The survey is a living document and may not yet include all relevant or emerging research. The "pending" tags indicate papers that are still being reviewed or integrated.