Artificial General Intelligence (AGI) refers to highly autonomous systems that outperform humans at most economically valuable work. Unlike narrow AI systems designed for specific tasks, AGI aims to possess the ability to understand, learn, and apply knowledge across a wide range of domains—similar to human intelligence.
The development of AGI represents one of the most profound technological challenges and opportunities of our time, with potential impacts across virtually every aspect of human society.
AGI systems would demonstrate human-like capabilities including:
While we have made significant advances in AI with large language models and multimodal systems, true AGI remains a future goal. Current systems excel in specific domains but lack the generality, robustness, and adaptability that define AGI.
Researchers are exploring various pathways including scaling existing architectures, developing more sample-efficient learning methods, and incorporating causal reasoning.
The development of AGI raises important questions about: