A Quote by Aaron Koblin
Data can actually make us more human.
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Artists use frauds to make human beings seem more wonderful than they really are. Dancers show us human beings who move much more gracefully than human beings really move. Films and books and plays show us people talking much more entertainingly than people really talk, make paltry human enterprises seem important. Singers and musicians show us human beings making sounds far more lovely than human beings really make. Architects give us temples in which something marvelous is obviously going on. Actually, practically nothing is going on.
The data are what matter in economics, and the more ruthlessness that an economist can summon to make sense of the data, the more useful his findings will be.
Today, as we wish each other a Happy New Year, let us determine to be more sincere, compassionate, warm-hearted human beings, trying to make our world a more equal place. That way we'll actually make it a happy year.
The primary function of poetry, as of all the arts, is to make us more aware of ourselves and the world around us. I do not know if such increased awareness makes us more moral or more efficient. I hope not. I think it makes us more human, and I am quite certain it makes us more difficult to deceive.
Regardless of what the naysayers believe about human interaction and social media, the data show us that the abundance of technology is actually increasing the abundance of happiness all over the world.
scientists ... resist ... making more of the data than the data make of themselves.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
When a book remembers, we remember. It reminds you that you have a body. So many of the things we may think of as burdensome are actually the things that make us more human.
Peace is something that we can bring about if we can actually learn to wake up a bit more as individuals and a lot more as a species; if we can learn to be fully what we actually already are; to reside in the inherent potential of what is possible for us, being human.
Seeing yourself reflected on screen is a very important part of being human. It makes us feel less alone, it make us feel more connected to humanity. Women, gay men, and trans people for a long time have not seen themselves represented, so being able to show the complexities that we all have - just as complex stories as a heterosexual white male - is crucial for us to feel more human and have other people see us as human beings.
I'm repledging myself to human-scale values. As a fiction writer, the best data comes through the senses and is then processed through many revisions. We have to learn to be intelligent assessors of the data coming in to us and what it's doing to our mental process.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
Mathematics alone make us feel the limits of our intelligence. For we can always suppose in the case of an experiment that it is inexplicable because we don't happen to have all the data. In mathematics we have all the data, brought together in the full light of demonstration, and yet we don't understand. We always come back to the contemplation of our human wretchedness. What force is in relation to our will, the impenetrable opacity of mathematics is in relation to our intelligence.
We are ... led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by "soft" data those which, under the operation of this process, become to our minds more or less doubtful.
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