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But the big feature of human-level intelligence is not what it does when it is works but what it does when it's stuck.
Marvin Minsky
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Interpretation

What this quote means

Human intelligence is defined not just by success, but by how it navigates challenges and obstacles.

Marvin Minsky highlights a crucial aspect of human-level intelligence, emphasizing that true intelligence is not only demonstrated during successful problem-solving but is also revealed in moments of difficulty. When faced with challenges or obstacles, the ability to adapt, rethink, and find alternative solutions showcases the depth of one’s intelligence and creativity.

Themes

IntelligenceProblem-SolvingAdaptationChallengesCreativity

In practice

Example use cases

In a presentation about artificial intelligence, this quote can be used to illustrate the importance of adaptability in machine learning.

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!
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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.
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You don't understand anything unless you understand there are at least 3 ways.
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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.
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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.
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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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