Learning Leap: Iterate Yourself Like AI

The core competitiveness in the AI ​​era - learning ability, the ability to transform experience into knowledge and then use knowledge to solve problems. Thinking about practical problems is the best way to learn. When encountering a problem, read the topic around the problem, study and think with the problem, and structure the reading content into your own knowledge system. Talk to books, talk to people, talk to things, talk to others, talk to yourself, and gain more knowledge and experience. AI is the best plug-in for the brain. Use AI to retrieve knowledge and recommend learning resources to provide support for your own learning. [Three core questions] 1. What are the key factors for the leap in learning ability? : Positive learning attitude + efficient learning methods + continuous learning motivation; 2. How to iterate like AI? : A knowledge system that can be grown, verified in practice, and cognition and behavior adjusted based on feedback. 3. How to verify the verification data set (to determine whether the learning is effective)? : To see whether the problem has been solved and whether the ability has been improved, just like the way to test the pros and cons of different learning methods is to check the test results;

This book is highly recommended for today's AI era, or if you want to build systems thinking to learn and grow. This book is worth reading as a system book. You can study it, summarize it, and then come back and read it again. It is not like some books that have no content or are very complicated. Anyway, my thinking was very clear when I read this book. I recommend reading it.

I gained a lot from reading Teacher Tian's book. Ordinary people can let others see you change. This book provides a practical and feasible path. Kung fu and hard work should be used in daily life, quantitative changes lead to qualitative changes, and strive to welcome the new self.

The perspective is novel. Very practical. Operable.