Artificial Intelligence is everywhere — but very few people actually understand what it is, how it works, or where its limits lie.

In this episode, we break down the foundations of AI from the ground up. We move past the hype and simplify the core ideas behind artificial intelligence and machine learning — what they are, how they differ, and how modern systems actually learn from data.

We also explore the different levels of AI, from narrow systems we use every day to the idea of artificial general intelligence, and why these distinctions matter more than most people think.

This episode covers:

• What AI really is (beyond the buzzwords)
• Types of AI: Narrow AI, AGI, and beyond
• What machine learning actually means
• How AI systems learn from data
• Types of machine learning: supervised, unsupervised, and reinforcement
• Why most “AI” today is not truly intelligent

This episode is based on concepts from the Introduction to AI Safety, Ethics, and Society course and textbook by Dan Hendrycks, developed by the Center for AI Safety. We do not own this material — we’re interpreting and discussing it to share insights with our audience, and we’ll be exploring more topics from this work in future episodes.

If you want to explore the original material:

https://www.aisafetybook.com/

No hype. No jargon overload — just a clear, grounded understanding of AI.

Hosted by Dhirendra & Suman

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