AGI vs. AI: What's the difference?

Artificial Intelligence (AI) refers to technology capable of learning, decision-making, and taking actions within specific domains, while Artificial General Intelligence (AGI) is a theoretical concept representing AI with human-like, domain-general understanding that can learn and apply knowledge across any intellectual task. Currently, AI is widely used in applications like search engines and workflow management, focusing on specific tasks and following predefined patterns. In contrast, AGI, which remains hypothetical, would be able to reason, plan, and learn independently across any domain without needing retraining. The main distinction lies in their scope: AI is domain-specific, excelling in narrow areas, whereas AGI would theoretically possess broad, human-like problem-solving abilities. While AGI does not yet exist, the advancements in AI continue to transform how we work and interact with technology, setting the stage for potential future developments in AGI.