A Quote by Yuval Noah Harari
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.
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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.
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.
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.
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.
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.
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.
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.
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.
Humans are very good at making algorithms work eventually.
In order to create predictive algorithms, you need to have a training set. So, that training set is created through our quantitative surveys. Those surveys need to include either basic market research questions or basic political polling questions, which might be added to get your opinion on a brand or an issue or a candidate.
As our understanding of fraud evolves, we might one day be able to develop predictive algorithms that could identify would-be con artists based on patterns of behavior.
Algorithms don't do a good job of detecting their own flaws.
Facebook has become the richest and most powerful publisher in history by replacing editors with algorithms - shattering the public square into millions of personalised news feeds, shifting entire societies away from the open terrain of genuine debate and argument while they make billions from our valued attention.
Who can begrudge the generosity of the wealthy, you might say. Wherever you stand on the concentration of wealth and power in the hands of a tiny global elite, surely such charity should be applauded? But philanthropy is a dangerous substitution for progressive taxation.
The idea that humans will always have a unique ability beyond the reach of non-conscious algorithms is just wishful thinking.
Google helps us sort the Internet by providing a sense of hierarchy to information. Facebook uses its algorithms and its intricate understanding of our social circles to filter the news we encounter. Amazon bestrides book publishing with its overwhelming hold on that market.
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