## AI capable of understanding, learning, and applying knowledge across a wide range of tasks, matching or surpassing human intelligence. > "Highly autonomous systems that outperform humans at most economically valuable work” (OpenAI) Artificial General Intelligence represents the future milestone in AI research where machines will possess the ability to perform any intellectual task that a human being can do. Unlike narrow AI, which is designed to perform specific tasks with expertise (e.g., facial recognition, playing chess), AGI would be capable of generalizing learning and understanding across domains without being explicitly programmed for each task. This involves not only mastering a vast range of skills and knowledge areas but also possessing attributes such as emotional understanding, social intelligence, and general wisdom. The development of AGI promises significant advancements but also poses ethical, security, and societal challenges that need to be addressed comprehensively. **Historical overview:** The concept of AGI dates back to the early days of AI research in the 1950s and 1960s, where the ultimate goal was to create machines that could mimic any aspect of human intelligence. However, due to technical and theoretical limitations, focus shifted towards developing narrow AI systems. Interest in AGI has resurged in the 21st century with advancements in machine learning, computing power, and data availability. **Key contributors:** While the field of AGI is broad and interdisciplinary, some notable figures include Alan Turing, who laid the groundwork for the theory of computation and artificial intelligence; John McCarthy, who coined the term "artificial intelligence" and was instrumental in its early development; and contemporary researchers like Ben Goertzel and Nick Bostrom, who have significantly contributed to the conceptual and ethical discussions surrounding AGI.