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"A good programmer is not one who knows all the answers, but one who knows how to find them."
"The essence of mathematics is not to make simple things complicated, but to make complicated things simple."
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
Learning is not just about finding patterns, but about understanding the underlying mechanisms that generate those patterns.
"We need to think of software not just as code, but as a mathematical object that can be analyzed and verified."
"The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them."
"The challenge in bioinformatics is not just to store data, but to make it meaningful."
The study of computation is not just about machines, but about the very nature of thought and logic.
In the world of computation, complexity is not an enemy, but a challenge to be understood and mastered.
"The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!' but 'That's funny...'"
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.
The future is not a result of choices among alternative paths offered by the present, but a place that is created—created first in the mind and will, created next in activity.
The complexity of life is not a barrier to understanding, but a gateway to deeper insights.
The real challenge is not just to collect data, but to make sense of it.
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
The challenge of the future is not just to store more data, but to make sense of it.
The most important thing in science is not to solve problems, but to ask the right questions.
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.
The real question is not whether machines think but whether men do.