Lifeboat Foundation

Quoted: “I recall reading somewhere that “Ethereum is to Bitcoin as an iPhone is to a calculator”, which is a pretty good analogy. Bitcoin proved to us that it was possible to keep a tamper-proof system synchronised across the globe. There really is no reason the same system can’t be applied to other problems in the same way we apply normal computers to them.

Ethereum is a single computer spread out over the internet, processing the information we all feed it together. I guess you could call it a ‘shared consciousness’ if you wanted to.

In this computer, information cannot be suppressed. In this computer, ideas and trust rule. Work and reputation are visible and independently verifiable. Anyone can contribute and everyone is automatically safe. Collaboration will overcome privatisation as people work together to build an open network of ideas contributing to the betterment of us all. They are calling it internet 3.0. And though web 2.0 was a thing in some ways, I think we’ll look back at everything up until this point as the first internet. The internet we built by adapting old communication lines into new ways of communicating. The internet we built when we were still used to centralising responsibility for things.”

Read the article here > http://pospi.spadgos.com/2014/11/30/injustice-ethereum-and-t…naissance/

Harnessing “Black Holes”: The Large Hadron Collider – Ultimate Weapon of Mass Destruction

Why the LHC must be shut down

Continue reading “CERN-Critics: LHC restart is a sad day for science and humanity!” »

Tyler Hayes | Fast Company

“The inherently robotic system begs to be humanized and explained. The first question Taylor had to ask himself was if what Tocchini was attempting was even possible. Could he translate design intention into an algorithm that was always producing new and relevant results—something that satisfied a broad range of needs and desires?” Read more

by Cathleen O’Grady — ARS Technica

If you’ve ever lived with roommates, chances are you shared a “transactive” memory system with them. One person might have remembered to pay the bills, while another knew the contact details of the plumber. It’s common to find social systems that share the information needed by a group across all the members of that group. Systems like these make life easier for individuals, who need only keep track of who knows which nugget.

Transactive memory systems are a common feature of human social groups, but they can be technological, too—and in the case of the Internet, the relationship can be a pretty powerful one. There are already indications that we treat the Internet like a transactive memory partner, remembering only where to find information, rather than the content itself. But could we also be blurring the boundary between our own internal knowledge and the easily accessed knowledge available via search engines? A group of researchers at Yale University think that we are. Read more

By Sarah Kessler — Fast Company
On Thursday morning, a handful of anti-gun-violence activists realized there is an app in the Google Play Store with their names on it—literally. The app, Gunfree Geo Marker, features a map pinpointing the home and work addresses of politicians, gun control organization employees, and “random anti-gun trolls” who “push the anti-gun agenda in any way, shape or form.”

Clicking on a person’s name in the menu reveals their address on a Google map, along with the app creator’s reasons for including that person in the app.Read more

MIT Technology Review -

In the world of Internet marketing and clickbait, the secret of virality is analogous to the elixir of life or the alchemy that turns lead into gold. It exists as a kind of Holy Grail that many search for and few, if any, find.

The key question is this: what is the difference between stories that become viral and those that don’t?Read more

Jordan Pearson — Motherboard

It’s 2020, and you’ve signed up for a weight-loss program. You’re alone on a Saturday night because your significant other is out of town, none of your friends are available to catch a flick at the theatre, and a pizza is sounding pretty good. You Google the address for your favorite joint and walk over instead of ordering dro​ne delivery because it’s cheaper, and you’re old fashioned like that. Just before you order at the counter, however, your friend calls you to ask if you want to see a movie after all.

How did this happen? An algorithm analyzing your communications and monitoring your friend netw​orks learned that your partner was away, and your Facebook posts revealed that you wanted to see a movie but nobody was available. Sentiment analysis of your tweets​ suggested that you were feeling alone and a little sad.
Read more

Laura Bliss — CityLab

Judging from some of Facebook’s most viral images in history—textbooks wrapped in paper bags, futuristic beach houses, Barack and Michelle mid-hug—it seems safe to say that, content-wise, a mix of nostalgia and aspiration makes ‘book users click, like, comment, and share. On Flickr, it’s cool nature shots. Instagram loves the Kardashians.

But favorite subjects come and go, while the viral cycle lives on. What if you could predict the kinds of photos most likely to strike a nerve? Given the incredible amount of data available on how online users engage with images, is there a way to measure the objective qualities of an image’s shareability?
Read more