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Reactive Machine AI represents the earliest and most fundamental form of artificial intelligence. These systems don’t learn, don’t remember past experiences, and don’t adapt over time — they simply react to present inputs using fixed rules. In this video, we explain Reactive Machine AI, the origin of modern artificial intelligence, and why it still matters today. You’ll learn: • What Reactive Machine AI is and how it works • Why these systems have no memory or learning ability • The famous example of IBM’s Deep Blue defeating a world chess champion • Real-world uses of reactive AI in everyday devices • Strengths and limitations of rule-based AI systems • Why reactive machines are still used in 2025 and beyond From vending machines and automatic doors to industrial robots and traffic systems, reactive AI remains essential for tasks requiring speed, simplicity, and predictability. Understanding Reactive Machine AI helps us appreciate how modern AI systems evolved — and why simplicity still plays a powerful role in intelligent design. 👇 Comment below: Do you think AI needs memory to be truly intelligent? 🔔 Subscribe for more AI explained, tech history, and future technology videos.