Lesson overview
Solver Introduction
Learning from AI
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Inside the full lesson
How did computers become better at poker than humans?
In the full lesson, you work through this scenario with interactive examples.
In 2017, an AI named Libratus crushed the world's best heads-up players. Not close—dominant. Today, every serious player studies with these same algorithms. Here's how to use them.
What you’ll learn
- What solvers actually calculate
- How to study effectively with solvers
- Common patterns solvers reveal
From the full lesson
💡 The Study Mindset
Referenced activities and other examples are available in the full lesson after sign-in.
Don't memorize. Understand patterns.
❌ Wrong approach: "On Q♥ J♣ 2♦ with A♥K♥ I bet 33% 45% of the time and 75% 30% of the time..."
From the full lesson
Common Solver Revelations
Referenced activities and other examples are available in the full lesson after sign-in.
Patterns that surprise human players:
🔹 1. Check-raising is more common than you think Solvers check-raise flop ~10-15% of the time. Humans do it ~3-5%. We're leaving money on the table.
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