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In this visionary breakdown, we explore the critical importance of "human" education before the age of 12. In a world increasingly dominated by machine learning and raw data, the speaker argues that our school systems are failing by focusing on the wrong metrics. We shouldn't be training children to compete with computers; we should be training them to be human.

The Power of Play and Art
Before age 12, the focus should be on music, sports, and painting. These aren't just hobbies—they are the foundation of teamwork, creativity, and emotional intelligence. By prioritizing these "soft skills," we ensure that children develop the ability to think and feel, rather than just process information like a machine.

Knowledge vs. Utility
The world is full of people with "accidental knowledge"—massive amounts of information they have no idea how to use. The speaker offers a profound personal insight: it’s better to have a small amount of knowledge and use it expertly than to be a walking encyclopedia with zero execution. In 2026, the real winners aren't those who know the most, but those who can apply what they know to solve real-world problems.

transcript
Transcript: I think before 12 music is important, sports team word is important, painting is important and I think make people like a people. We should not make people like a machine learning. I mean like a machines, they only have knowledge, they should try knowledge. I see a lot of people in this world have accident knowledge, but they just don't know how to use it. I don't have a lot of knowledge, but I use them very well.

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#Education #ParentingTips #Mindset #SuccessSecrets #HumanIntelligence #AI #FutureOfEducation #Creativity #LifeLessons #Wisdom #KnowledgeIsPower #Execution #SportsAndMusic #EarlyDevelopment #GrowthMindset #PersonalGrowth #Leadership #JackMaMindset #LearningByDoing #2026Goals #SkillBuilding #SoftSkills #Humanity #EducationalReform

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Learning
Transcript
00:00I think before 12, music is important, sports, teamwork is important, painting is important,
00:10and I think make people like a people. We should not make people like a machine learning,
00:16I mean like a machine, they only absorb knowledge. They should try knowledge.
00:20I see a lot of people in this world have excellent knowledge, but they just don't know how to use
00:26it.
00:27I don't have a lot of knowledge, but I use them very well.
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