Artificial Intelligence is a term everyone has heard, but few understand in depth. In this opening episode, we cut through the hype and get to the core: what does it actually mean when we say a system is “intelligent”? You’ll hear how the idea of machines that mimic human thought emerged, why early approaches like rule-based programming fell short, and how modern data-driven methods reshaped the field. We’ll compare narrow AI systems that perform single tasks with the elusive concept of general AI, which aims to mirror human versatility. Along the way, you’ll see how perception, reasoning, and action became the three pillars of AI research, and why public imagination, fueled by science fiction, has always been part of the story.We’ll then connect those foundations to the AI tools shaping the present day. From recommendation engines to voice assistants, from neural networks to natural language processing, modern AI has become inseparable from daily life. But with progress come challenges: the risks of bias, the importance of explainability, and the ethical questions that will define AI’s future. By the end of this episode, you’ll have a working definition of Artificial Intelligence, clarity about its scope, and a strong sense of why understanding AI matters not just for technologists, but for anyone preparing for a world where these systems play a growing role. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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