Masters of the Word

Financial historian William J. Bernstein explores how communication tools shaped human history. Among the book’s many narratives:

  • How the first writing systems in Mesopotamia and Egypt, because they were so complex, could be mastered by only a privileged elite who used this unique skill of literacy to assemble large, despotic city states and the world’s first empires.
  • How the development of progressively simpler alphabetic systems in the Eastern Mediterranean region allowed ever larger percentages of ordinary people to learn them. The final result, the Greek alphabet, could be grasped so easily that it fostered the dawn of democracy in Greece.
  • How Gutenberg actually changed the world. He didn’t invent movable type, and he certainly didn’t invent the printing press. The technology he developed, rather, was yet more subtle and powerful.
  • How the Reformation was not effected by Luther the fiery preacher and brilliant theologian, but rather by Luther the publisher.
  • How the fall of the Soviet Union resulted, in large part, from a colossal error in radio production.
  • How the Internet isn’t destroying our children’s academic performance, rewiring our brains, making us stupid, destroying investigative journalism, and won’t produce democracy in the Arab world, but will  likely make genocide less frequent.

Below are some excerpts from the book: Continue reading →

Team Human

Excerpts from Team Human by Douglas Rushkoff.

There’s a reason for our current predicament: an anti-human agenda embedded in our technology, our markets, and our major cultural institutions, from education and religion to civics and media.

Thinking, feeling, connected people undermine the institutions that would control them. […] Our institutions and technologies aren’t designed to extend our human nature, but to mitigate and repress it.

It doesn’t take much to tilt a healthy social landscape toward an individualist or repressive one. A scarcity of resources, a hostile neighboring tribe, a warlord looking for power, and elite seeking to maintain its authority, or a corporation pursuing a monopoly all foster antisocial environments and behaviors. Continue reading →

Land Rover book (2019)

“When the original Land Rover had been drawn up, there had been no proper styling team at Solihull. The appearance of the vehicle had been dictated partly by its intended function and partly by manufacturing requirements, and nobody had worried too much about what it looked like. This was, after all, a commercial vehicle and buyers were unlikely to set too much store by aesthetics as long as it did the intended job.”

— Land Rover: 65 Years of the 4 x 4 Workhorse by James Taylor (Amazon)

I received this as a Christmas gift. I don’t know if you would have to own and drive one of these old trucks to appreciate the Land Rover story. Maybe. Packed with history.

AI Superpowers

“In his book “AI Superpowers: China, Silicon Valley, and the New World Order,” Kai-Fu Lee, a well-known artificial-intelligence expert, venture capitalist and former president of Google China, argues that China and Silicon Valley will lead the world in AI. But his highly readable book covers a lot of other ground as well, and among the most interesting insights are his descriptions of the differences between Chinese and Silicon Valley tech culture.” (Washington Post review) Not quite finished but here are some excerpts:

If artificial intelligence is the new electricity, Chinese entrepreneurs will be the tycoons and tinkerers who electrify everything from household appliances to homeowners’ insurance. […] Ambitious mayors across China are scrambling to turn their cities into showcases for new AI applications. They’re plotting driverless trucking routes, installing facial recognition systems on public transportation, and hooking traffic grids into “city brains” that optimize flows.

China’s startup culture is the yin to Silicon Valley’s yang: instead of being mission-driven, Chinese companies are first and foremost market-driven. Their ultimate goal is to make money, and they’re willing to create any product, adopt any model, or go into any business that will accomplish that objective. […] The core motivation for China’s market-driven entrepreneurs is not fame, glory, or changing the world. Those things are all nice side benefits, but the grand prize is getting rich, and it doesn’t matter how you get there.

Adoption of mobile payments happened at lightning speed. By the end of 2016, it was hard to find a shop in a major (Chinese) city that did not accept mobile payments. […] By the end of 2017, 65 percent of China’s over 753 million smartphone users had enabled mobile payments. […] It got to the point where beggars on the streets of Chinese cities began hanging pieces of paper around their necks with printouts of two QR codes, one for Alipay and one for WeChat. […]

For 2017, total transactions on China’s mobile payment platforms reportedly surpassed $ 17 trillion—greater than China’s GDP. […] Data from mobile payments is currently generating the richest maps of consumer activity the world has ever known, far exceeding the data from traditional credit-card purchases or online activity captured by e-commerce players like Amazon or platforms like Google and Yelp. […] Recent estimates have Chinese companies outstripping U.S. competitors ten to one in quantity of food deliveries and fifty to one in spending on mobile payments. China’s e-commerce purchases are roughly double the U.S. totals, and the gap is only growing.

U.S. federal funding for math and computer science research amounts to less than half of Google’s own R& D budget.

Between 2007 and 2017, China went from having zero high-speed rail lines to having more miles of high-speed rail operational than the rest of the world combined.

It no longer makes sense to think of oneself as “going online.” When you order a full meal just by speaking a sentence from your couch, are you online or offline? When your refrigerator at home tells your shopping cart at the store that you’re out of milk, are you moving through a physical world or a digital one?In the United States we build self-driving cars to adapt to our existing roads because we assume the roads can’t change. In China, there’s a sense that everything can change—including current roads. Indeed, local officials are already modifying existing highways, reorganizing freight patterns, and building cities that will be tailor-made for driverless cars.

Much of today’s white-collar workforce is paid to take in and process information, and then make a decision or recommendation based on that information—which is precisely what AI algorithms do best.