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You don't understand anything until you learn it more than one way.
Marvin Minsky
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Interpretation

What this quote means

Understanding requires multiple perspectives and methods of learning.

Marvin Minsky's quote emphasizes the importance of approaching knowledge from different angles. It suggests that true comprehension comes not from a single viewpoint or method, but rather through diverse experiences and interpretations that enrich our understanding of a subject.

Themes

UnderstandingLearningEducationPerspectivesKnowledge

In practice

Example use cases

In a classroom discussion about learning methods, this quote can highlight the importance of diverse teaching approaches.

More from Marvin Minsky

If you understand something in only one way, then you don't really understand it at all. The secret of what anything means to us depends on how we've connected it to all other things we know. Well-connected representations let you turn ideas around in your mind, to envision things from many perspectives until you find one that works for you. And that's what we mean by thinking!
Marvin MinskyRead
There was a failure to recognize the deep problems in AI; for instance, those captured in Blocks World. The people building physical robots learned nothing.
Marvin MinskyRead
You don't understand anything unless you understand there are at least 3 ways.
Marvin MinskyRead
I think every person either inherits or eventually makes up their own idea of what they are and who they are and what caused the world to be, and it seems to me that these stories of creation myth, adopted by different cultures - most of them are less insightful than the stories made up by individual poets and writers.
Marvin MinskyRead
I believe that everyone has to construct a mental model of what they are and where they came from and why they are as they are, and the word soul in each person is the name for that particular mish-mash of those fully formed ideas of one's nature.
Marvin MinskyRead
If you just have a single problem to solve, then fine, go ahead and use a neural network. But if you want to do science and understand how to choose architectures, or how to go to a new problem, you have to understand what different architectures can and cannot do.
Marvin MinskyRead

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