关于而是的名人名言哲理格言警句语录 - 每日文摘
而是
In the end, the goal of computer science is not just to build faster machines, but to deepen our understanding of the universe.
The challenge in theoretical computer science is not just to solve problems, but to understand the nature of problem-solving itself.
The real problem is not whether machines think but whether men do.
The most exciting phrase to hear in science, the one that heralds new discoveries, is not 'Eureka!' but 'That's funny...'
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
The advancement of mathematics is due to those who are driven not by the desire for application but by the joy of discovery.
The essence of mathematics is not to make simple things complicated, but to make complicated things simple.
"The challenge in theoretical computer science is not just to solve problems, but to understand why they are hard to solve."
The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them.
The real question is not whether machines think but whether men do.
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.
The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge.
Elegance is not a dispensable luxury but a quality that decides between success and failure.
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise.
Trust doesn’t mean that you trust that someone won’t screw up—it means you trust them even when they do screw up.
The best managers acknowledge and make room for what they do not know—not just because humility is a virtue but because until one adopts that mindset, the most striking breakthroughs cannot occur.
It’s not the manager’s job to prevent risks. It’s the manager’s job to make it safe to take them.
"The challenge in AI is not just to build systems that can perform tasks, but to build systems that can learn to perform tasks."
"The most important thing in science is not so much to obtain new facts as to discover new ways of thinking about them."