America’s new tribalism can be seen most distinctly in its politics. Nowadays the members of one tribe (calling themselves liberals, progressives, and Democrats) hold sharply different views and values than the members of the other (conservatives, Tea Partiers, and Republicans).
Each tribe has contrasting ideas about rights and freedoms (for liberals, reproductive rights and equal marriage rights; for conservatives, the right to own a gun and do what you want with your property).
Each has its own totems (social insurance versus smaller government) and taboos (cutting entitlements or raising taxes). Each, its own demons (the Tea Party and Ted Cruz; the Affordable Care Act and Barack Obama); its own version of truth (one believes in climate change and evolution; the other doesn’t); and its own media that confirm its beliefs.
The tribes even look different. One is becoming blacker, browner, and more feminine. The other, whiter and more male. (Only 2 percent of Mitt Romney’s voters were African-American, for example.)
My own theory is that we are in the middle of a dramatic and broad technological and economic shift in which software companies are poised to take over large swathes of the economy.
More and more major businesses and industries are being run on software and delivered as online services — from movies to agriculture to national defense. Many of the winners are Silicon Valley-style entrepreneurial technology companies that are invading and overturning established industry structures. Over the next 10 years, I expect many more industries to be disrupted by software, with new world-beating Silicon Valley companies doing the disruption in more cases than not.
It might be that human values will forever remain somewhat mysterious. But to the extent that our values are revealed in our behavior, you would hope to be able to prove that the machine will be able to “get” most of it. There might be some bits and pieces left in the corners that the machine doesn’t understand or that we disagree on among ourselves. But as long as the machine has got the basics right, you should be able to show that it cannot be very harmful.
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their meaning or semantic content as opposed to similarity which can be estimated regarding their syntactical representation (e.g. their string format). These are mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information supporting their meaning or describing their nature. The term semantic similarity is often confused with semantic relatedness. Semantic relatedness includes any relation between two terms, while semantic similarity only includes "is a" relations. For example, "car" is similar to "bus", but is also related to "road" and "driving".
Computationally, semantic similarity can be estimated by defining a topological similarity, by using ontologies to define the distance between terms/concepts. For example, a naive metric for the comparison of concepts ordered in a partially ordered set and represented as nodes of a directed acyclic graph (e.g., a taxonomy), would be the shortest-path linking the two concept nodes. Based on text analyses, semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus.
"John, when people thought the earth was flat, they were wrong. When people thought the earth was spherical, they were wrong. But if you think that thinking the earth is spherical is just as wrong as thinking the earth is flat, then your view is wronger than both of them put together."
The blockchain-based domain name service (DNS) Blockstack, formally known as Onename, has announced a partnership with the Microsoft Azure platform. Developers will work with Microsoft to provide identity solutions, authentication, and storage services without the need for third-party arbitration.
Hunter-gatherers tend to have an egalitarian social ethos, although settled hunter-gatherers (for example, those inhabiting the Northwest Coast of North America) are an exception to this rule. Nearly all African hunter-gatherers are egalitarian, with women roughly as influential and powerful as men. Karl Marx defined this socio-economic system as primitive communism.