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Jonathan Swift, 1726
The most ignorant person, at a reasonable charge, and with a little bodily labour, might write books in philosophy, poetry, politics, laws, mathematics, and theology, without the least assistance from genius or study.
Francis Galton & F. H. Perry-Coste, 1907
I heartily wish that the case were otherwise.
George Orwell, 1937
The machine would even encroach upon the activities we now class as 'art';
George Box, 1976
Since all models are wrong the scientist cannot obtain a "correct" one by excessive elaboration.
Donald Rubin, 1984
Consequently "known" refers to values that are both available and considered worthwhile to include in model specifications.
Stephen Hawking, 1988
Any physical theory is always provisional, in the sense that it is only a hypothesis: you can never prove it.
Joel Spolsky, 2001
When you go too far up, abstraction-wise, you run out of oxygen.
Gareth James et al., 2013
Though the term statistical learning is fairly new, many of the concepts that underline the field were developed long ago.
Adrienne LaFrance, 2015
Don't forget that you're in charge, not the computer.
Yarden Katz & Ron Garret, 2016
The "analysis-by-synthesis" view of SICP became irrelevant. Nowadays, we do programming by poking.
Andrej Karpathy & Dogan Ulus, 2017
So we need to design neural networks to work with other solutions, not to eradicate.
François Chollet, 2017
In general, anything that requires long-term planning, and algorithmic-like data manipulation, is out of reach for deep learning models, no matter how much data you throw at them.
Richard Sutton, 2019
We have to learn the bitter lesson that building in how we think we think does not work in the long run.
Outer
Douglas West
I have been accumulating observations about writing mathematics for many years.
Matt Might
Every fall, I explain to a fresh batch of Ph.D. students what a Ph.D. is. It's hard to describe it in words. So, I use pictures.
Richard Hamming & James Kaiser, 1986
Why do so few scientists make significant contributions and so many are forgotten in the long run?
Michael Atiyah et al., 2008
You may learn from others but interpret what you learn in your own way.