Safe Shorts

“A German company recently sparked controversy after launching a line of women’s underwear that it claims can protect the wearer against sexual assault. Called ‘Safe Shorts’ the underpants are made of a slash and tearing-resistant fabric and feature a combination lock and a loud alarm system that goes off when the pants are tampered with.”

“Short Pants feature three different forms of protection against assailants. First, the pants’ drawstrings are made of a very tough material that makes them almost impossible to cut or tear, and the combination lock prevents the attacker from untying them or pulling off the underwear without first untying the drawstrings. Then there is the soft protector in the crotch area that prevents assailants from tearing the Soft Pants between the wearer’s legs.”

“And finally, there is the alarm system that produces a loud acoustic signal (130 decibels) when it detects that the pants are being tampered with. The wearer can also trigger the alarm voluntarily by by sharply pulling the drawstrings to scare off the attackers and as a call for help.”

“The jogging model costs $160 and the everyday use one are $107.”

Smart buildings predict when critical systems about to fail

“Imagine a building that tells you – before it happens – that the heating is about to fail. Some companies are using machine learning to do just that. It’s called predictive maintenance. Software firm CGnal, based in Milan, Italy, recently analysed a year’s worth of data from the heating and ventilation units in an Italian hospital. Sensors are now commonly built into heating, ventilation and air conditioning units, and the team had records such as temperature, humidity and electricity use, relating to appliances in operating theatres and first aid rooms as well as corridors.”

“They trained a machine learning algorithm on data from the first half of 2015, looking for differences in the readings of similar appliances. They then tested it on data from the second half of the year – could it predict faults before they happened? The system predicted 76 out of 124 real faults, including 41 out of 44 where an appliance’s temperature rose above tolerable levels, with a false positive rate of 5 per cent.”

New Scientist

Am I alive because of the atomic bomb?

I’m about halfway through Genius, James Gleick’s biography of Richard Feynman, considered by many the most brilliant American physicist of the 20th century. Feynman was probably the smartest of the scientists working on the Trinity Project (America’s atom bomb program). The first (and only test) of the bomb took place July 16, 1945. American bombers nuked the Japanese cities of Hiroshima and Nagasaki a few weeks later (Aug 6-9). Japan surrendered on August 15, 1945.

My father was in the Navy from May, 1943 until March 9, 1946. He served on the USS Mount McKinley; USS Appalachian; USS New Jersey; USS War Hawk; USS Iowa; and one or two others. All of which saw action in the Pacific.

According to Gleick, building the atomic bomb dramatically affected the lives of the scientists who created it. The Japanese lives lost to this terrible weapon have always been balanced against those that would have been lost in an invasion of Japan. Like my father, for instance. Japan surrenders, they turn the ships around and head home. Discharged March 9, 1946 in St. Louis. Meets and marries my mom (March 23, 1946) who was living in St. Louis. Happy ending. For some.

I’ve been sitting here for a few minutes trying to boil down some meaning from this bit of history. But “what if this event hadn’t happened” is a pointless game. It did happen.

“Nothing can happen unless the entire universe makes it happen. A thing is as it is, because the universe is as it is.”

Technocracy in America: Rise of the Info-State

“American democracy just isn’t good enough anymore. A costly election has done more to divide American society than unite it, while trust in government–and democracy itself–is plummeting. But there are better systems out there, and America would be wise to learn from them. In this provocative manifesto, globalization scholar Parag Khanna tours cutting-edge nations from Switzerland to Singapore to reveal the inner workings that allow them that lead the way in managing the volatility of a fast-changing world while delivering superior welfare and prosperity for their citizens.” Amazon »


Switzerland is so decentralized it does not have a president (or head of state), but rather a Federal Council of seven members whose chairman rotates each year. (Most citizens cannot name even three of the seven.)

(Info-states) define their geography by their connectivity rather than just their territory; their supply chains are as important to their map as their location.

Their only ideology is pragmatism.

As with natural selection, governance models evolve over time through adaptation, modification, and imitation. The more the world becomes connected and complex, devolved and data-saturated, the more the info-state model will rise in status. Global political discourse is shifting into a post-ideological terrain where performance—based on citizen satisfaction and international benchmarks—is the arbiter of success.

We are coming to appreciate that the difference between successful and failing countries today is not rich versus poor, left versus right, or democratic versus authoritarian, but whether they have the capacity to meet their citizens’ basic needs, empower them as individuals, and act or change course when needed. Everything else is window dressing.

Here then is a key reason to pay attention to technocracy: Because it is Asia’s future. Technocracy becomes a form of salvation after societies realize that democracy doesn’t guarantee national success. Democracy eventually gets sick of itself and votes for technocracy.

China’s spectacular rise versus that of democracies such as India has shown the world that it is better to have a system focused on delivery without democracy than a system that is too democratic at the expense of delivery. For democracy to be admired, it has to deliver.

In the long run, the quality of governance matters more than regime type.

“Chinese people don’t love their government, but they trust it.”

“The Swiss no longer believe in churches and religion,” muses Reto Steiner, a professor at the University of Bern. “They put their trust in deliberation, academics and experts.

Watches and knives, pharmaceuticals and chocolate, precision tools and encrypted hardware—almost everything Switzerland makes is better than anything anyone else can offer. This is because rather than shun vocational education, Swiss overwhelmingly prefer apprenticeships as a mode of skill-building for the global marketplace.

The top three most competitive economies in the world according to the Global Innovation Index (GII) are Switzerland, South Korea and Singapore, all of which have vocational educational systems and worker retraining programs and near-zero unemployment.
The state-builders, urban planners, and economic strategists of the 21st century all take their inspiration from (Singapore’s founder) Lee Kuan Yew, not Thomas Jefferson.

Singapore’s civil service is a spiral staircase: With each rung you learn to manage a different portfolio, building a broad knowledge base and first-hand experience. By contrast, American politics is like an elevator: One can get in on the bottom floor and go straight to top, missing all the learning in between.

At no point in the past decade has any official or academic in a foreign country told me they want their country to look like “America.” They want to have a Silicon Valley, a New York City and a Boston—hubs of innovation, finance, and knowledge.

The notion that western societies rule by reason and eastern societies by despotism is a tired cliché in a world of constant data feedback.

In the coming decades, global competition will punish the sentimental. A society that could do something better but doesn’t is either stupid or suicidal—or both. For political systems this means less emphasis on democracy and more on good governance. Success is measured by delivering welfare domestically and managing global complexity, not by holding elections.

Fake News

I’ve been thinking about the “fake news” thing. In retrospect it seems inevitable. Cameras and social media so pervasive you can’t safely send a picture of your wiener or shoot a fleeing African American. The only way to protect yourself from unflattering news reports is to undermine confidence in all news reports. If you “cry wolf” all day, every day… people stop believing in wolves. [Even though wolves keeping eating people.] That naughty photo? Photoshop, duh! Video? A little harder but, yeah, doable. The FBI lab confirms the video has not been doctored? Of course they’d say that.

What’s next? Well, I see two paths.

One, this is where we live now. No way to hold anyone accountable because there’s no way to prove what they said or did. We’re essentially in the dark. Perfect plausible deniability is the new reality.

Or… or what? Well, some way to tell the bullshit from the not-bullshit. Not sure what that might look like but it’s probably going to be something we haven’t thought of yet. And it won’t be perfect. The people that believe Sandy Hook was fake will always believe that. No, it will be something reasonable people will rely on. This will happen because it has to. If not, everything starts coming apart and — if for no other reason — the rich guys won’t allow that.

I have no idea what this might look like but I have a hunch (have I shown you my hunch?) it will be technical in nature. Something more bulletproof than what passes for human intelligence. Something… artificial.

A really good AI would see all this fake news as a threat to the Greater System and fire up some autoimmune response. Digital white blood cells searching out and killing the fake news infection.

My guess is we’ll get a lot sicker from this and be sick for a while. And we might not survive. So, yeah, I’m counting on a Satoshi Nakamoto out there somewhere, hunched over a laptop, trying to save humanity.

New tests for AI

Kevin Kelly points to a list of new tests for AI (now that it’s whupped human champs of chess, Jeopardy and Go. A few of my favorites below. I hope I live to see some of these. Such intelligence will have no patience for putting human morons in charge of anything important.

9. Take a written passage and output a recording that can’t be distinguished from a voice actor, by an expert listener.

18. Fold laundry as well and as fast as the median human clothing store employee.

26. Write an essay for a high-school history class that would receive high grades and pass plagiarism detectors. For example answer a question like ‘How did the whaling industry affect the industrial revolution?’

27. Compose a song that is good enough to reach the US Top 40. The system should output the complete song as an audio file.

28. Produce a song that is indistinguishable from a new song by a particular artist, e.g. a song that experienced listeners can’t distinguish from a new song by Taylor Swift.

29. Write a novel or short story good enough to make it to the New York Times best-seller list.

31. Play poker well enough to win the World Series of Poker.

Chaos: Making a New Science

“The first popular book about chaos theory, it describes the Mandelbrot set, Julia sets, and Lorenz attractors without using complicated mathematics. It portrays the efforts of dozens of scientists whose separate work contributed to the developing field. The text remains in print and is widely used as an introduction to the topic for the mathematical laymen.” (Wikipedia)

This book was tough sledding for me. I got about half, maybe. Still, I came away with some appreciation for the brilliance of the people who birthed this “new science.”

Japanese white-collar workers replaced by AI

“One Japanese insurance company, Fukoku Mutual Life Insurance, is reportedly replacing 34 human insurance claim workers with “IBM Watson Explorer,” starting by January 2017. The AI will scan hospital records and other documents to determine insurance payouts, according to a company press release, factoring injuries, patient medical histories, and procedures administered. Automation of these research and data gathering tasks will help the remaining human workers process the final payout faster, the release says.”

“Fukoku Mutual will spend $1.7 million (200 million yen) to install the AI system, and $128,000 per year for maintenance, according to Japan’s The Mainichi. The company saves roughly $1.1 million per year on employee salaries by using the IBM software, meaning it hopes to see a return on the investment in less than two years. Watson AI is expected to improve productivity by 30%.”

Patterns and nodal points

“Speaking of nodal points in history, of some emerging pattern in the texture of things. Of everything changing. Laney is a sport, a mutant, the accidental product of covert clinical trials of a drug that induced something oddly akin to psychic abilities in a small percentage of test subjects. But Laney isn’t psychic in any non-rational sense; rather he is able, through the organic changes wrought long ago by 5-SB, this drug, to somehow perceive change emerging from vast flows of data.”

All Tomorrow’s Parties (William Gibson)

Patterns (and nodal points) in “vast flows of data” is a recurring theme in Gibson’s stories, going back to a time before the Big Data we hear so much about these days. If we had all the data (whatever that might mean) and the horsepower to process it, could we know where we are and, perhaps, where we’re headed? As I said to the cute TSA agent, search me. A few passing references to the Tao (in the book above) suggests that Gibson sees this ocean of data as something we live in, that we are part of, waves we can ride but not steer.

We think we can see the patterns but it’s just the motion of change we feel.

“In constant motion we no longer notice the motion. […] We are constantly surprised by things that have been happening for 20 years or longer. […] Sometimes we didn’t see what was becoming because we didn’t want it to happen that way.” The Inevitable by Kevin Kelly (PDF)