Part 5/12:

Tracing AI history from the 1950s, Soin explains how early rule-based systems evolved into neural networks and deep learning frameworks capable of generating realistic images and audio. The latest frontier is AI agents—autonomous entities capable of perceiving their environment through vision, text, or other sensors, reasoning, and taking action independently. Unlike traditional generative AI, which produces content based on human prompts, AI agents can interact with real-world systems, make decisions, and adapt, bridging the gap toward artificial general intelligence (AGI).