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Quotes tagged ‘Algorithms’
Newsletters could be a more reliable means of increasing readership for major publishers whose relationships with social networks have soured. Remember when Facebook moved away from promoting videos on the platform? Or when it decided to show more posts from friends and family, and de-emphasize cont…
Kids today are growing up in a post-broadcast era, and because of this, it’s absolutely essential to find ways to teach an understanding of algorithms, recommendation engines, and targeting. Why does the internet look different to everyone, and what does that mean?
What’s both crucial and easy to miss about TikTok is how it has stepped over the midpoint between the familiar self-directed feed and an experience based first on algorithmic observation and inference. The most obvious clue is right there when you open the app: the first thing you see isn’t a feed o…
We call this endless, immaterial material a feed, though there’s little sustenance to be found.
Al Harrison: Ruth, what’s the status on that computer? Ruth: She’s right behind you, Mr. Harrison. [he turns and sees Katherine] Al Harrison: Does she handle Analytic Geometry? Ruth: Absolutely, and she speaks. Katherine Johnson: Yes, sir, I do. Al Harrison: Which one? Katherine Johnson: Both. Geome…
— Allison Schroeder, Theodore Melfi, Al Harrison, Kevin Costner, imdb.com
AI is akin to building a rocket ship. You need a huge engine and a lot of fuel. The rocket engine is the learning algorithms but the fuel is the huge amounts of data we can feed to these algorithms.
Remember: If your Facebook feed is filled with garbage, it means you were reading garbage in the first place. The algorithm simply gives you more of what you crave.
In ML, where algorithms get published quickly and state-of-the-art frameworks are open-source, there isn't any first-mover advantage.
Naive Bayes is a family of probabilistic algorithms that take advantage of probability theory and Bayes’ Theorem to predict the category of a sample (like a piece of news or a customer review). They are probabilistic, which means that they calculate the probability of each category for a given sampl…
Score = (P-1) / (T+2)^G where, P = points of an item (and -1 is to negate submitters vote) T = time since submission (in hours) G = Gravity, defaults to 1.8 in news.arc
A Bloom filter is a data structure designed to tell you, rapidly and memory-efficiently, whether an element is present in a set. The price paid for this efficiency is that a Bloom filter is a probabilistic data structure: it tells us that the element either definitely is not in the set or may be in…
For an understanding of just how much space HLLs really save, consider the r/pics post included at the top of this blog post. It received over 1 million unique users. If we had to store 1 million unique user IDs, and each user ID is an 8-byte long, then we would require 8 megabytes of memory just to…
The model tries to build a set of hyperplanes in a high dimensional space that tries to separate instances of different classes by getting the largest separation between the nearest instances from different classes. The concept intuitively is simple, but the model can be very complex and powerful. I…
The way a NFA works is to consume one character at a time and compare that to a state graph which it has built up.
Second, the surveillance economy is way too dangerous. Even if you trust everyone spying on you right now, the data they're collecting will eventually be stolen or bought by people who scare you. We have no ability to secure large data collections over time.
When we talk about the moral economy of tech, we must confront the fact that we have created a powerful tool of social control. Those who run the surveillance apparatus understand its capabilities in a way the average citizen does not. My greatest fear is seeing the full might of the surveillance ap…
Those who benefit from the death of privacy attempt to frame our subjugation in terms of freedom, just like early factory owners talked about the sanctity of contract law. They insisted that a worker should have the right to agree to anything, from sixteen-hour days to unsafe working conditions, as…
Fortunately we are smart people and have found a way out of this predicament. Instead of relying on algorithms, which we can be accused of manipulating for our benefit, we have turned to machine learning, an ingenious way of disclaiming responsibility for anything. Machine learning is like money lau…
So the only thing we can do is to continue to demand that these services provide what we think we need, the 'we' being both individual and collective, and keep paying attention to the way they have structural problems in doing so. Whether that's algorithm or editorial acumen or yellow journalism, th…