A Quote by Geoffrey Hinton
In deep learning, the algorithms we use now are versions of the algorithms we were developing in the 1980s, the 1990s. People were very optimistic about them, but it turns out they didn't work too well.
Quote Topics
Quote Author
Related Quotes
These algorithms, which I'll call public relevance algorithms, are-by the very same mathematical procedures-producing and certifying knowledge. The algorithmic assessment of information, then, represents a particular knowledge logic, one built on specific presumptions about what knowledge is and how one should identify its most relevant components. That we are now turning to algorithms to identify what we need to know is as momentous as having relied on credentialed experts, the scientific method, common sense, or the word of God.
As algorithms push humans out of the job market, wealth and power might become concentrated in the hands of the tiny elite that owns the all-powerful algorithms, creating unprecedented social and political inequality. Alternatively, the algorithms might themselves become the owners.
When Spotify launched in the U.S. in 2011, it relied on simple usage-based algorithms to connect users and music, a process known as 'collaborative filtering.' These algorithms were more often annoying than useful.
I am worried that algorithms are getting too prominent in the world. It started out that computer scientists were worried nobody was listening to us. Now I'm worried that too many people are listening.
Once you see the problems that algorithms can introduce, people can be quick to want to throw them away altogether and think the situation would be resolved by sticking to human decisions until the algorithms are better.
The problem with Google is you have 360 degrees of omnidirectional information on a linear basis, but the algorithms for irony and ambiguity are not there. And those are the algorithms of wisdom.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
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 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.
If the 1980s were about quality and the 1990s were about reengineering, then the 2000s will be about velocity.
People tend to overlook the fact that North Korea's economy collapsed at about the same time as South Koreans lost faith in their own state. The late 1980s and early 1990s were a time when South Koreans were questioning the very legitimacy of their republic.
The word deepfake has become a generic noun for the use of machine-learning algorithms and facial-mapping technology to digitally manipulate people's voices, bodies and faces. And the technology is increasingly so realistic that the deepfakes are almost impossible to detect.
It's difficult to make your clients understand that there are certain days that the market will go up or down 2%, and it's basically driven by algorithms talking to algorithms. There's no real rhyme or reason for that. So it's difficult. We just try to preach long-term investing and staying the course.
Humans are very good at making algorithms work eventually.
Is any job safe? I was hoping to say 'journalist,' but researchers are already developing algorithms that can gather facts and write a news story. Which means that a few years from now, a robot could be writing this column. And who will read it? Well, there might be a lot of us hanging around with lots of free time on our hands.
When I was at Marvel, they were in bankruptcy, which is hard to believe now with 'Avengers 2' out, but it was during the 1990s. It was a troubled place. Comic book sales were dropping. Work was scattered.
Related Authors
Abraham Maslow Quotes
American
Psychologist
Carl Jung Quotes
Swiss
Psychologist
Daniel Kahneman Quotes
Israeli
Psychologist
Edward de Bono Quotes
English
Psychologist
Erich Fromm Quotes
American
Psychologist
James Hillman Quotes
American
Psychologist
M. Scott Peck Quotes
American
Psychologist
Mihaly Csikszentmihalyi Quotes
Hungarian
Psychologist
Nathaniel Branden Quotes
American
Psychologist
Ram Dass Quotes
American
Psychologist
Rollo May Quotes
American
Psychologist
Sigmund Freud Quotes
Austrian
Psychologist
Tara Brach Quotes
American
Psychologist
Viktor E. Frankl Quotes
Austrian
Psychologist
Wayne Dyer Quotes
American
Psychologist