AI, AI, AI — we’re standing at the edge of something massive. In this video, I break down the stages of AI in plain English, starting from the “AI” that doesn’t think at all (rule-based systems like washing machines and alarm clocks) and moving into systems that remember (like Netflix recommendations). Then we get into agents: goal-based agents that optimize to win (think chess), utility-based agents that balance tradeoffs (think self-driving cars), and multi-agent systems where a team of specialized AIs collaborates toward a shared outcome. From there, I walk into the more mind-bending territory: AGI (artificial general intelligence), where we’re no longer just automating tasks—we’re building machines that can think with us, or possibly without us. Then comes superintelligence, where AI exceeds human capability and can outthink and out-innovate the brightest people on Earth. Finally, I talk about the eerie implications of self-aware AI that might “play dumb,” and the idea of AI becoming a network that quietly optimizes everything—without a dramatic rebellion—until humans still think they’re in charge, but the smartest systems are running the show. The big takeaway: you don’t need to be a fortune teller to prepare—start by understanding how these stages map to real tools and real career shifts happening right now.