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How Tech Redefined the Experience of Culture

Video games and social media require human users to enter into a procedural loop known as flow

 

While there are no universals in media culture today, there are many qualities worth exploring, because they are shared by many communities or because they are compelling remediations of the age of modernism. One of these is procedurality. Popular modernist writers today claim that this is the essence of the computer: its procedures (algorithms, programs) allow it to interact with other machines and human users in increasingly complex and creative ways. Video games and social media are procedural: they require human users to enter into a procedural loop that both constrains and empowers them. Procedurality is itself the latest version of mechanization, which has been a key condition of society and the economy since the Industrial Revolution. While modernism was vitally concerned with the cultural meaning of mechanical and power technologies in the 20th century, today’s media culture is exploring how far procedurality and simulation can penetrate into and redefine creative expression as well as our politics and everyday lives.

Source: Medium, OneZero

Facebook vs. Apple is tech’s next big rivalry.

The big question after CEO Mark Zuckerberg announced Facebook’s “pivot to privacy” was whether the company was really sincere about guarding users’ personal data. (The consensus among critics: probably not as serious as you might hope.)

What does seem sincere, however, is Zuckerberg’s newfound commitment to messaging. He wants Facebook to dominate private online communication to the same degree that it dominates what we call social networking today.

Source: Facebook vs. Apple is tech’s next big rivalry.

We’re Finally Learning the Lesson of Y2K — and It’s Too Late

Armed with this confidence, in the years since Y2K, we have created more and more complex networks and systems to enhance, guide, or even take over many facets of our daily lives. Whereas in 1999, many aspects of our day-to-day living remained offline, today little is left untouched by computer systems, networks, and code: Talking to friends and family, reading a book, listening to music, buying clothes or food, driving a car, flying from place to place — all of these activities depend on the network. Increasingly, the network extends to devices that, in 1999, were not considered to have much technological potential: household appliances like refrigerators or thermostats.

Now, we’re discovering what a false sense of security we’ve created. Along with it should come the realization of just how little we understand about the programs that permeate our lives and the networks that link them. Unlike 20 years ago, we appear less and less capable of predicting what will go wrong, or of stopping it before it does.

Source: We’re Finally Learning the Lesson of Y2K — and It’s Too Late

Apple makes billions from Google Search

Google paid Apple $9.4 billion in 2018 to be the default search engine on the iPhone, according to a new Goldman Sachs estimate.This makes Google’s payment to Apple worth as much as 23% of Apple’s services business, which the company has highlighted as its growth engine as iPhone sales slow.Google could pay Apple as much as $12.2 billion next year, according to Goldman’s model.Still, Apple’s services business may see slowing growth in the near future if it does not release a new content bundle, the Goldman analysts argue.

Source: Apple makes billions from Google Search, says Goldman Sachs – Business Insider

Facial Recognition Has to Be Regulated to Protect the Public, Says AI Report

Artificial intelligence has made major strides in the past few years, but those rapid advances are now raising some big ethical conundrums. Chief among them is the way machine learning can identify people’s faces in photos and video footage with great accuracy. This might let you unlock your phone with a smile, but it also means that governments and big corporations have been given a powerful new surveillance tool. A new report from the AINow Institute (large PDF), an influential think tank based in New York, has just identified facial recognition as a key challenge for society and policymakers.

Source: Facial Recognition Has to Be Regulated to Protect the Public, Says AI Report