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Clay Shirky on Newspapers: How the Unthinkable Happened

Clay Shirky is an adjunct professor of New Media at NYU. He writes about technology (okay, pretty much just the internet) and its effects on relationships and culture. Recently he posted a brilliant essay called Newspapers and Thinking the Unthinkable, about what happened to newspapers in the 90s, how they saw the internet coming (and what it meant for the newspaper's business model), and what happened to those pragmatists who observed what was happening. In short, Shirky explains "the unthinkable scenario" for newspapers -- the one in which the internet's inherent strengths and behaviors (sharing content for free, reaching mass audiences on the cheap) would change the economic landscape for newspapers so much that none of their planned responses (micropayments, DRM, advertising, litigation) would work.

The piece opens (emphasis added):

Back in 1993, the Knight-Ridder newspaper chain began investigating piracy of Dave Barry's popular column, which was published by the Miami Herald and syndicated widely. In the course of tracking down the sources of unlicensed distribution, they found many things, including the copying of his column to alt.fan.dave_barry on usenet; a 2000-person strong mailing list also reading pirated versions; and a teenager in the Midwest who was doing some of the copying himself, because he loved Barry's work so much he wanted everybody to be able to read it.

One of the people I was hanging around with online back then was Gordy Thompson, who managed internet services at the New York Times. I remember Thompson saying something to the effect of "When a 14 year old kid can blow up your business in his spare time, not because he hates you but because he loves you, then you got a problem." I think about that conversation a lot these days.

This is a really smart essay. Shirky knows what he's talking about, and his writing is entertaining. Here's one more key snippet:

The curious thing about the various plans hatched in the '90s is that they were, at base, all the same plan: "Here's how we're going to preserve the old forms of organization in a world of cheap perfect copies!" The details differed, but the core assumption behind all imagined outcomes (save the unthinkable one) was that the organizational form of the newspaper, as a general-purpose vehicle for publishing a variety of news and opinion, was basically sound, and only needed a digital facelift. As a result, the conversation has degenerated into the enthusiastic grasping at straws, pursued by skeptical responses.

Read the rest for a smart look at newspapers in the online era.

(Photo courtesy of Flickr user Matt Callow, used under Creative Commons license.)

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Animals
Watch an Antarctic Minke Whale Feed in a First-of-Its-Kind Video
WWF
WWF

New research from the World Wildlife Fund is giving us a rare glimpse into the world of the mysterious minke whale. The WWF worked with Australian Antarctic researchers to tag minke whales with cameras for the first time, watching where and how the animals feed.

The camera attaches to the whale's body with suction cups. In the case of the video below, the camera accidentally slid down the side of the minke whale's body, providing an unexpected look at the way its throat moves as it feeds.

Minke whales are one of the smallest baleen whales, but they're still pretty substantial animals, growing 30 to 35 feet long and weighing up to 20,000 pounds. Unlike other baleen whales, though, they're small enough to maneuver in tight spaces like within sea ice, a helpful adaptation for living in Antarctic waters. They feed by lunging through the sea, gulping huge amounts of water along with krill and small fish, and then filtering the mix through their baleen.

The WWF video shows just how quickly the minke can process this treat-laden water. The whale could lunge, process, and lunge again every 10 seconds. "He was like a Pac-Man continuously feeding," Ari Friedlaender, the lead scientist on the project, described in a press statement.

The video research, conducted under the International Whaling Commission's Southern Ocean Research Partnership, is part of WWF's efforts to protect critical feeding areas for whales in the region.

If that's not enough whale for you, you can also watch the full 13-minute research video below:

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technology
AI Could Help Scientists Detect Earthquakes More Effectively
iStock
iStock

Thanks in part to the rise of hydraulic fracturing, or fracking, earthquakes are becoming more frequent in the U.S. Even though it doesn't fall on a fault line, Oklahoma, where gas and oil drilling activity doubled between 2010 and 2013, is now a major earthquake hot spot. As our landscape shifts (literally), our earthquake-detecting technology must evolve to keep up with it. Now, a team of researchers is changing the game with a new system that uses AI to identify seismic activity, Futurism reports.

The team, led by deep learning researcher Thibaut Perol, published the study detailing their new neural network in the journal Science Advances. Dubbed ConvNetQuake, it uses an algorithm to analyze the measurements of ground movements, a.k.a. seismograms, and determines which are small earthquakes and which are just noise. Seismic noise describes the vibrations that are almost constantly running through the ground, either due to wind, traffic, or other activity at surface level. It's sometimes hard to tell the difference between noise and legitimate quakes, which is why most detection methods focus on medium and large earthquakes instead of smaller ones.

But better understanding natural and manmade earthquakes means studying them at every level. With ConvNetQuake, that could soon become a reality. After testing the system in Oklahoma, the team reports it detected 17 times more earthquakes than what was recorded by the Oklahoma Geological Survey earthquake catalog.

That level of performance is more than just good news for seismologists studying quakes caused by humans. The technology could be built into current earthquake detection methods set up to alert the public to dangerous disasters. California alone is home to 400 seismic stations waiting for "The Big One." On a smaller scale, there's an app that uses a smartphone's accelerometers to detect tremors and alert the user directly. If earthquake detection methods could sense big earthquakes right as they were beginning using AI, that could afford people more potentially life-saving moments to prepare.

[h/t Futurism]

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