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.
Interpretation
Understanding neural networks requires knowledge of their capabilities and limitations beyond just solving individual problems.
Marvin Minsky's quote emphasizes the importance of comprehending the underlying principles of neural network architectures rather than using them as mere tools for specific problems. A deeper understanding allows scientists and practitioners to choose the right approaches for various challenges in the field of artificial intelligence, fostering innovation and the ability to tackle new problems effectively.
In practice
During a lecture on artificial intelligence, this quote can illustrate the importance of foundational knowledge in the field.
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!
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.
You don't understand anything unless you understand there are at least 3 ways.
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.
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.
You don't understand anything until you learn it more than one way.
Civilization begins with distillation
[N]o scientist likes to be criticized. ... But you don't reply to critics: "Wait a minute, wait a minute; this is a really good idea. I'm very fond of it. It's done you no harm. Please don't attack it." That's not the way it goes. The hard but just rule is that if the ideas don't work, you must throw them away. Don't waste any neurons on what doesn't work. Devote those neurons to new ideas that better explain the data. Valid criticism is doing you a favor.
If you thought that science was certain - well, that is just an error on your part.
Science affects the average man and woman in two ways already. He or she benefits by its application driving a motor-car or omnibus instead of a horse-drawn vehicle, being treated for disease by a doctor or surgeon rather than a witch, and being killed with an automatic pistol or shell in place of a dagger or a battle-axe.
The way I see it, commercial interests should manage a lunar base while NASA gets on with the really important task of flying to Mars.
Among other things, neuroplasticity means that emotions such as happiness and compassion can be cultivated in much the same way that a person can learn through repetition to play golf and basketball or master a musical instrument, and that such practice changes the activity and physical aspects of specific brain areas.
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