What Is AGI, Actually?
Understanding the Complex: What is AGI, why can't anyone agree on a definition, who's building it, and what's at stake? 11 lessons, ~150 minutes, free.
What Is AGI, Actually?
All 11 lessons in order.
What's This Actually About?
Hook: a scene where AGI stopped being science fiction — and the central question this course answers.
Why Should I Care?
Three reasons AGI matters to an informed global citizen, beyond hype and doom.
The Basics You Need
Prerequisites: what is intelligence, what is general, and how does AGI differ from current AI — anchored in AlphaGo/AlphaZero.
What Is Intelligence? The Definitions Crisis
The definitions crisis: why AGI has no agreed definition, and why that matters for the entire debate.
The Gap — What Current AI Can't Do
The gap between current LLMs and AGI: specific capabilities that are missing and what they reveal.
Routes to AGI — Scaling, Architectures, Hybrids
Three routes to AGI: transformer scaling, world-model architectures (LeCun's JEPA), hybrid systems. Full anchor resolution.
Who's Doing This? Why? Who's Paying?
Who is working on AGI, why, and whose money? Global multipolar framing: US VC, Chinese state, EU regulatory. As of May 2026.
What's Contested? What Don't We Know?
Three live controversies: what IS AGI?, does scaling get there?, is alignment solvable? Overhyped, underhyped.
What's Next?
Three timelines, five milestones, what would genuinely surprise me — tools for tracking the field.
What If...?
Calibrated speculation in both directions — deliberately asymmetric toward the negative, with explicit explanation why.
What Do You Take Away?
Six core ideas. Honest limits. Reading list. Why you shouldn't trust us — or anyone — blindly.