An algorithm must be seen to be believed.

There is no algorithm for creativity.

The algorithms that orchestrate our ads are starting to orchestrate our lives.

Algorithms don't do a good job of detecting their own flaws.

An algorithm is like a recipe.

More data beats clever algorithms, but better data beats more data.

Fancy algorithms are slow when N is small, and N is usually small.

By 2025, 80 percent of the functions doctors do will be done much better and much more cheaply by machines and machine learned algorithms.

Anyone, from the most clueless amateur to the best cryptographer, can create an algorithm that he himself can't break.

We dont have better algorithms, we just have more data

I really wanted to talk to her. I just couldn't find an algorithm that fit.

The best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.

Mathematics my foot! Algorithms are mathematics too, and often more interesting and definitely more useful.

In fact, there was general agreement that minds can exist on nonbiological substrates and that algorithms are of central importance to the existence of minds.

There is no Algorithm for Humor

The Google algorithm was a significant development. I've had thank-you emails from people whose lives have been saved by information on a medical website or who have found the love of their life on a dating website.

Humans are very good at making algorithms work eventually.

The burgeoning field of computer science has shifted our view of the physical world from that of a collection of interacting material particles to one of a seething network of information. In this way of looking at nature, the laws of physics are a form of software, or algorithm, while the material world-the hardware-plays the role of a gigantic computer.

Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.

I decry the current tendency to seek patents on algorithms. There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science.

[The Euclidean algorithm is] the granddaddy of all algorithms, because it is the oldest nontrivial algorithm that has survived to the present day.

There are lots of different ways that algorithms can go wrong, and what we have now is a system in which we assume because it's shiny new technology with a mathematical aura that it's perfect and it doesn't require further vetting. Of course, we never have that assumption with other kinds of technology.

Mathematics is as much an aspect of culture as it is a collection of algorithms.

I know how models are built, because I build them myself, so I know that I'm embedding my values into every single algorithm I create and I am projecting my agenda onto those algorithms.

We don't let a car company just throw out a car and start driving it around without checking that the wheels are fastened on. We know that would result in death; but for some reason we have no hesitation at throwing out some algorithms untested and unmonitored even when they're making very important life-and-death decisions.

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