Freedom Points

“Every time you generate data, in whatever form, you accrue more Freedom Points. Some data is more valuable than other, so points would be ranked accordingly: a trip to Moscow, say, would be worth a million times more points than your trip to the 7-Eleven. Well then, what do Freedom Points allow you to do? They would allow you to exercise your freedom, your rights and your citizenship in fresh modern ways: points could allow you to bring extra assault rifles to dinner at your local Olive Garden restaurant. A certain number of Freedom Points would allow you to erase portions of your criminal record — or you could use Freedom Points to remove hours from your community service. The thing about Freedom Points is that if you think about them for more than 12 seconds, you realise they have the magic ring of inevitability. The idea is basically too dumb to fail. The larger picture is that you have to keep generating more and more and more data in order to embed yourself ever more deeply into the global community. In a bold new equation, more data would convert into more personal freedom.”

Imaginary use of data from a 2015 article by Douglas Coupland

Hacking the genome

“He Jiankui, a genome-editing researcher from the Southern University of Science and Technology of China in Shenzhen, says that he implanted into a woman an embryo that had been edited to disable the genetic pathway that allows a cell to be infected with HIV.” (Nature)

Claim hasn’t been verified but this is exactly what Yuval Noah Harari talks about in Homo Deus (and 21Lessons). The rest of the world might freak out over the ethics of this kind of research but when on country has this tech, they won’t be able to stop it. Do you think some billionaire will care about ethics if she can protect her offspring from some dreaded disease. And how long before someone hacks the genome to make a human smarter/stronger/faster/whatever?

 

Why Doctors Hate Their Computers

This is a long article (like all New Yorker articles) but very interesting. A few nuggets:

More than ninety per cent of American hospitals have been computerized during the past decade, and more than half of Americans have their health information in the Epic system.

A 2016 study found that physicians spent about two hours doing computer work for every hour spent face to face with a patient—whatever the brand of medical software.

A team at the Mayo Clinic discovered that one of the strongest predictors of burnout was how much time an individual spent tied up doing computer documentation.

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.

Experience Self vs. Memory Self

  • Being happy “in” you life, vs. being happy “about” your life
  • We don’t choose between experiences, we choose between memories of experiences
  • We don’t think of the future as experience, we think of the future as anticipated memories
  • Why do we give so much weight to memories, relative to the weight we give experiences?
  • We do not attend to the same things when we think about life and when we actually live.

21 Lessons for the 21st Century

I’m not up to reviewing Yuval Noah Harari’s latest book (21 Lessons for the 21st Century) but I liked this one by The Guardian. I really liked his two previous books, Sapiens and Homo Deus, and you can read some of my favorite excerpts in previous posts. I’m doing the same below but first I’ll say this book made me questions some of my long held beliefs. Nationalism, Religion and Immigration, just to name a few. This is a good example of what I mean when I suggest you ditch Facebook and TV news and read a book.


“The Industrial Revolution has bequeathed us the production-line theory of education. In the middle of town there is a large concrete building divided into many identical rooms, each room equipped with rows of desks and chairs. At the sound of a bell, you go to one of these rooms together with thirty other kids who were all born the same year as you. Every hour a different grown-up walks in and starts talking. The grown-ups are all paid to do so by the government. One of them tells you about the shape of the earth, another tells you about the human past, and a third tells you about the human body.”

“If somebody describes the world of the mid-twenty-first century to you and it sounds like science fiction, it is probably false. But then again, if somebody describes the world of the mid-twenty-first century to you and it doesn’t sound like science fiction, it is certainly false.”

“When a thousand people believe some made-up story for one month, that’s fake news. When a billion people believe it for a thousand years, that’s a religion.” 

“As a species, humans prefer power to truth.”

Trust in the dollar and in the wisdom of the Federal Reserve is so firm that it is shared even by Islamic fundamentalists, Mexican drug lords, and North Korean tyrants.”

“A priest is not somebody who knows how to perform the rain dance and end the drought. A priest is somebody who knows how to justify why the rain dance failed.”

“In 2016, despite wars in Syria, Ukraine, and several other hot spots, fewer people died from human violence than from obesity, car accidents, or suicide.”

““Once AI makes better decisions than we do about careers and perhaps even relationships, our concept of humanity and of life will have to change.“”

““Democracy in its present form cannot survive the merger of biotech and infotech. Either democracy will successfully reinvent itself in a radically new form or humans will come to live in “digital dictatorships.””

“In the twenty-first century data will eclipse both land and machinery as the most important asset, and politics will be a struggle to control the flow of data. If data becomes concentrated in too few hands, humankind will split into different species.”

“So in the twenty-first century religions don’t bring rain, they don’t cure illnesses, they don’t build bombs—but they do get to determine who are “us” and who are “them,” whom we should cure and whom we should bomb.”

“We think we know a lot, even though individually we know very little, because we treat knowledge in the minds of others as if it were our own.”

“If you cannot afford to waste time, you will never find the truth.”


Sam Harris “conversation” with Yuval Noah Harari

DSL vs. AT&T Wireless

We have a DSL line from our local telco for internet access. We pay $45 a month for 10 megabits download speed (never get more than 8) and less than 1 megabit upload speed. Not great but all that’s available where we live.

Been having problems for the last couple of weeks with technicians coming up to check lines, etc. Keep thinking they have it fixed but the problem persists so we’ve been using the hotspot feature on our iPhones. Yesterday I stopped by the local AT&T store to talk about our data plan to avoid getting surprised by a huge bill.

We’re currently paying $130 a months for 15gb that Barb and I share. Historically, we use very little of this but if we start making heavy use of the hotspot feature that could change. Without getting any further into the weeds here, I upgraded to an “unlimited” data plan for $150 a month. But the plan lets us stop paying for HBO and we get some other discounts so the faster service winds up costing me less than I was paying.

I’d never checked to see what kind of speeds I get from our AT&T wireless so I figured this was a good time to take a look. We’re getting 18 mbs down and 5.6 mbs up. More than twice as fast as the DSL line!

We don’t stream a lot of movies but do have Netflix, Amazon Prime and Apple TV. I’ll keep the DSL service for a few months while we monitor our wireless data use, but I’m thinking I can adios the DSL.

This is might be more noteworthy to me because I remember the dial-up modem days. 2400, 14,400, 56K. Dark days? An exciting time? Could never have imagined I’d be able to connect to the internet with a mobile phone. Could never have imagined a mobile phone.