Algorithms Quotes - Page 2

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

I did once leave one of [my kid] watching something on YouTube, something completely innocuous, and I went out of the room and the algorithm kept playing the next thing and the next thing and somehow worked its way around to showing him the trailer for John Carpenter's The Thing - at which point I walked back in. He wasn't happy.

People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance.

Humans are very good at making algorithms work eventually.

You cannot invent an algorithm that is as good at recommending books as a good bookseller.

You cannot invent an algorithm that is as good at recommending books as a good bookseller, and that's the secret weapon of the bookstore - is that no algorithm will ever understand readers the way that other readers can understand readers.

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

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

Lead generation excels when a campaign is looking to capture a piece of factual intelligence that could never be modelled or predicted through profiling and sophisticated propensity algorithms.

Object-oriented programming aficionados think that everything is an object.... this [isn't] so. There are things that are objects. Things that have state and change their state are objects. And then there are things that are not objects. A binary search is not an object. It is an algorithm

[With AI] Somebody's going to have to think of a completely new algorithm, a new way of doing goal-based planning.

A metaphysical tour de force of untethered meaning and involuting interlocking contrapuntal rhythms, 'The Clock' is more than a movie or even a work of art. It is so strange and other-ish that it becomes a stream-of-consciousness algorithm unto itself - something almost inhuman.

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.

You invent things like algorithms to take care of some of the changes you want to make. The changes aren't detectable. There's all kinds of things happening as I play.

Netflix will know everything. Netflix will know when a person stops watching it. They have all of their algorithms and will know that this person watched five minutes of a show and then stopped. They can tell by the behavior and the time of day that they are going to come back to it, based on their history.

Nature doesn't feel compelled to stick to a mathematically precise algorithm; in fact, nature probably can't stick to an algorithm.

The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials.

I design genetic algorithms, neural network and artificial intelligence systems.

I remember that mathematicians were telling me in the 1960s that they would recognize computer science as a mature discipline when it had 1,000 deep algorithms. I think we've probably reached 500.

Nothing will ever replace the experience of wandering haphazardly through a great bookstore, no matter how many algorithms are developed to find matches for our tastes. That's because not only is there no accounting for taste, there is no predicting it either.

A formal parsing algorithm should not always be used.

There's a belief that whatever it is I'm looking for is out there, but I have a really difficult time finding it. Search algorithms alone are falling short in being able to provide real context around information.

I would argue that one of the major problems with our blind trust in algorithms is that we can propagate discriminatory patterns without acknowledging any kind of intent.