From deities to data - "For thousands of years humans believed that authority came from the gods. Then, during the modern era, humanism gradually shifted authority from deities to people... Now, a fresh shift is taking place. Just as divine authority was legitimised by religious mythologies, and human authority was legitimised by humanist ideologies, so high-tech gurus and Silicon Valley prophets are creating a new universal narrative that legitimises the authority of algorithms and Big Data." [more inside]
In his follow-up to Sapiens, Yuval Noah Harari envisions what a 'useless class' of humans might look like as AI advances and spreads - "I'm aware that these kinds of forecasts have been around for at least 200 years, from the beginning of the Industrial Revolution, and they never came true so far. It's basically the boy who cried wolf, but in the original story of the boy who cried wolf, in the end, the wolf actually comes, and I think that is true this time." [more inside]
The Future of (Post)Capitalism - "Paul Mason shows how, from the ashes of the recent financial crisis, we have the chance to create a more socially just and sustainable global economy." (previously; via) [more inside]
Daniel Dennett, known for having previously explained thinking, religion, and consciousness, recently spoke at the Royal Institution where he did a most excellent job of explaining memes [1-hour video].
How Google Is Making Us Smarter: Humans are "natural-born cyborgs," and the Internet is our giant "extended mind."
The Logic of Diversity "A new book, The Wisdom of Crowds [..:] by The New Yorker columnist James Surowiecki, has recently popularized the idea that groups can, in some ways, be smarter than their members, which is superficially similar to Page's results. While Surowiecki gives many examples of what one might call collective cognition, where groups out-perform isolated individuals, he really has only one explanation for this phenomenon, based on one of his examples: jelly beans [...] averaging together many independent, unbiased guesses gives a result that is probably closer to the truth than any one guess. While true — it's the central limit theorem of statistics — it's far from being the only way in which diversity can be beneficial in problem solving." (Three-Toed Sloth)