A Quote by Ozzie Guillen

I look back now and realize you have to learn the system. Not kiss ass, but you have to learn the system. — © Ozzie Guillen
I look back now and realize you have to learn the system. Not kiss ass, but you have to learn the system.
Now, we learn that a system must have an aim. Without an aim, there is no system.
Good scientists will fight the system rather than learn to work with the system.
We must learn that passively to accept an unjust system is to cooperate with that system, and thereby to become a participant in its evil.
The Saturn system is a rich planetary system. It offers mystery, scientific insight, and obviously splendour beyond compare, and the investigation of this system has enormous cosmic reach... just studying the rings alone, we stand to learn a lot about the discs of stars and gas that we call the spiral galaxies.
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
The thing the ecologically illiterate don't realize about an ecosystem is that it's a system. A system! A system maintains a certain fluid stability that can be destroyed by a misstep in just one niche.
By immersing ourselves with our consciousness in a supersensible world, we now learn a new kind of thinking, a new life of mental pictures, one that is not dependent on the nervous system in the way ordinary thinking is. We know that previously we have had to make use of our nervous system, but now we no longer need our brain.
When you learn to read and write, it opens up opportunities for you to learn so many other things. When you learn to read, you can then read to learn. And it's the same thing with coding. If you learn to code, you can code to learn. Now some of the things you can learn are sort of obvious. You learn more about how computers work.
You've got to learn to work with others. One of my main values is, you learn this system of mutual benefit. That is, if you shirk and you try to make the other guy do more, he's going to do that to you.
My father thought, and now I think too, that the system of democracy is entirely based upon the system of justice. If we do not have a system of justice that people believe in, the system of democracy will fail.
The human body is the most complex system ever created. The more we learn about it, the more appreciation we have about what a rich system it is.
I feel like the traditional patron system meant that you would kiss the ass of one rich person and then hide all of the financial goings-on of your work, and you could pretend you were pure.
The Soviet system is how everything here works. It's very difficult to break the system. The system is big and inflexible, uneffective, and also corrupt. And that is our main goal: to change the system, to break the system, to make it modern.
I believe that our society's "mistake-phobia" is crippling, a problem that begins in most elementary schools, where we learn to learn what we are taught rather than to form our own goals and to figure out how to achieve them. We are fed with facts and tested and those who make the fewest mistakes are considered to be the smart ones, so we learn that it is embarrassing to not know and to make mistakes. Our education system spends virtually no time on how to learn from mistakes, yet this is critical to real learning.
Algorithms learn by being fed certain images, often chosen by engineers, and the system builds a model of the world based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.
My whole belief system is that our paths are drawn for us. I believe in reincarnation. I believe we're here to learn and grow. We choose how we come into this life based on what it is we have to learn. Some people have harder lessons than others.
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