The Future of World Economy: Technologies

An excellent article on the Future of world economy.  A view from Stanford University….

3 Keywords: Clean Energy, Robotics,  3D-Printing

Governments, businesses, and economists have all been caught off guard by the geopolitical shifts that happened with the crash of oil prices and the slowdown of China’s economy. Most believe that the price of oil will recover and that China will continue its rise. They are mistaken. Instead of worrying about the rise of China, we need to fear its fall; and while oil prices may oscillate over the next four or five years, the fossil-fuel industry is headed the way of the dinosaur. The global balance of power will shift as a result.

LED light bulbs, improved heating and cooling systems, and software systems in automobiles have gradually been increasing fuel efficiency over the past decades. But the big shock to the energy industry came with fracking(水力压裂), a new set of techniques and technologies for extracting more hydrocarbons from the ground. Though there are concerns about environmental damage, these increased the outputs of oil and gas, caused the usurpation of old-line coal-fired power plants, and dramatically reduced America’s dependence on foreign oil.

The next shock will come from clean energy. Solar and wind are now advancing on exponential curves. Every two years, for example, solar installation rates are doubling, and photovoltaic-module costs are falling by about 20 percent. Even without the subsidies that governments are phasing out, present costs of solar installations will, by 2022, halve, reducing returns on investments in homes, nationwide, to less than four years. By 2030, solar power will be able to provide 100 percent of today’s energy needs; by 2035, it will seem almost free — just as cell-phone calls are today.

This seems hard to believe, given that solar production provides less than one percent of the Earth’s energy needs today. But this is how exponential technologies advance. They double in performance every year or two and their prices fall. Given that California already generates more than 5 percent of its electricity from utility-scale solar, it is not hard to fathom what the impact of another few doublings would be: the imminent extinction of the fossil-fuel industry. Exponential technologies are deceptive because they move very slowly at first, but one percent becomes two percent, which becomes four, eight, and sixteen; you get the idea. As futurist Ray Kurzweil says, when an exponential technology is at one percent, you are halfway to 100 percent, and that is where solar and wind energies are now.

Anyone tracking the exponential growth of fracking and the gradual advances that were being made in conservation and fuel efficiency should have been able to predict, years ago, that by 2015, the price of oil would drop dramatically. It wasn’t surprising that relatively small changes in supply and demand caused massive disruptions to global oil prices; that is how markets work. They cause commodities futures and stock prices to fall dramatically when slowdowns occur. This is what is happening to China’s markets also. The growth of China’s largest industry, manufacturing, has stalled, causing ripple effects throughout China’s economy.

For decades, manufacturing was flooding into China from the U.S. and Europe and fueling its growth. And then a combination of rising labor and shipping costs and automation began to change the economics of China manufacturing. Now, robots are about to tip the balance further.

Foxconn (Apple Contract Manufacturer for iPhones) had announced in August 2011 that it would replace one million workers with robots. This didn’t occur, because the robots then couldn’t work alongside human workers to do sophisticated circuit board assembly. But a newer generation of robots such as ABB’s Yumi and Rethink Robotics’ Sawyer can do that. They are dextrous enough to thread a needle and cost as much as a car does.

China is aware of the advances in robotics and plans to take the lead in replacing humans with robots. Guangdong province is constructing the world’s first “zero-labor factor,” with 1,000 robots which do the jobs of 2,000 humans. It sees this as a solution to increasing labor costs.

The problem for China is that its robots are no more productive than their counterparts in the West are. They all work 24×7 without complaining or joining labor unions. They cost the same and consume the same amount of energy. Given the long shipping times and high transportation costs it no longer makes sense to send raw materials across the oceans to China to have them assembled into finished goods and shipped to the West. Manufacturing can once again become a local industry.

It will take many years for Western companies to learn the intricacies of robotic manufacturing, build automated factories, train workers, and deal with the logistical challenges of supply chains being in China. But these are surmountable problems. What is now a trickle of manufacturing returning to the West will, within five to seven years, become a flood.

After this, another technology revolution will begin: digital manufacturing.

In conventional manufacturing, parts are produced by humans using power-driven machine tools, such as saws, lathes, milling machines, and drill presses, to physically remove material to obtain the shape desired. In digital manufacturing, parts are produced by melting successive layers of materials based on 3D models — adding materials rather than subtracting them. The “3D printers” that produce these use powdered metal, droplets of plastic, and other materials — much like the toner cartridges that go into laser printers. 3D printers can already create physical mechanical devices, medical implants, jewellery, and even clothing. But these are slow, messy, and cumbersome — much like the first generations of inkjet printers were. This will change.

In the early 2020s we will have elegant low-priced printers for our homes that can print toys and household goods. Businesses will use 3D printers to do small-scale production of previously labor-intensive crafts and goods. Late in the next decade, we will be 3D-printing buildings and electronics. These will eventually be as fast as today’s laser printers are. And don’t be surprised if by 2030, the industrial robots go on strike, waving placards saying “stop the 3D printers: they are taking our jobs away.”

The geopolitical implications of these changes are exciting and worrisome. America will reinvent itself just as does every 30-40 years; it is, after all, leading the technology boom. Oil producers such as Venezuela will go bankrupt; the Middle East will become a cauldron of instability. Countries that have invested in educating their populations, built strong consumer economies, and have democratic institutions that can deal with social change will benefit — because their people will have had their basic needs met and can figure out how to take advantage of the advances in technology.

USA “Common Core” Math

To the outsiders of the USA,  we can understand the “Common Core Math Program” is good for American children education, which is supported by Bill Gates with generous $6-billion donation.

The American parents who resist and oppose the ‘Common Core’ Math are like the Singaporean parents who opposed the “Singapore Math Program” in the 1980s. The Singaporean parents had to go through remedial classes before they could coach their kids in the ‘new way’. Result proved that after 20 years, Singapore is ranked 2nd in the PISA Test World Ranking in Math (after Shanghai of China).

All good medicines are bitter to swallow.
良药苦口 !

Here are 4 methods of subtraction:

1st : Traditional (aka Abacus) “Carry” Method
2nd: Mental Calculation
3rd : “Singapore Math” (no Carry)
4th: Common Core: “Count Up” (French Method), with which French supermart cashiers usually perform changes at counter — much slower than the 1st one (Traditional Method).

The French method looks stupid in practical, but it teaches the kids the essence of Math from simple arithmetic – Math is not calculation but the “Nature of Things”, Math is not just memorized algorithm like a robot. It goes a long way later when French kids grow up to grasp more rigorous advanced Math concepts like Groups, Rings, Fields, Vector Spaces… it is no wonder France is the Math “Super-Power” alone winning 1/3 of Fields Medals (Nobel Prize equivalent in Math).

It is a change of mindset and old habit of doing things, which makes parents feel uncomfortable.

Think about it… Ask 90% of adults today who had learnt Math in the traditional method:

9 – 5 × 2 + 8 ÷ 2 = ?
[Answer = 9 – (5 × 2) + (8÷ 2) = 3]
“Why perform (x, ÷) before (+, – )?”

Similarly, imagine a 8 or 9 year-old kid would ask in their little head,
“What the heck is ‘carrying 1’ or ‘borrowing 1’ means actually ?”

Here are Grade 4 “Common Core” Multiplication & Division :

http://www.theatlantic.com/education/archive/2015/12/math-class-performing/421710/

http://www.theatlantic.com/education/archive/2016/01/the-man-who-tried-to-kill-math-in-america/429231/

Transparent Salary Formula

The 5-year-old Social Media Startup BUFFER has a transparent salary formula, and all the employees’ payroll are listed online :

image

It is quite ‘humane’ to consider dependents. I once recruited 2 new fresh graduates – one single, the other a father with a baby. By HR policy, they were both paid at fresh graduate starting salary of $ 2,000 (in 1990). There was no consideration of the extra financial burden the father had to support the baby. With appeal to the CEO for special consideration, he was finally given an extra 10%.

http://www.businessinsider.sg/everyone-at-buffer-can-see-each-others-salaries-2016-1/?nr_email_referer=1&utm_content=StrategySelect&utm_medium=email&utm_source=Sailthru&utm_campaign=BI%20Strategy%202016-01-08&utm_term=Strategy%20Select?r=US&IR=T#.VpEuQ-gRXMI

(1/2)! = (√π)/2

Richard Feynman (Nobel Physicist) proved it in high school using a funny Calculus: “Differentiating under Integral” — is it legitimate to do so ? Of course it is ! by “The Fundamental Theorem of Calculus”

Note: We were thought in high school the “HOW” of calculating (such as integration and differentiation), but not the “WHY” (the Theories behind). Richard Feynman was unique in exploring the WHY since high school, it helped later he was assigned by President Reagan to investigate the 1986 ‘Challenger’ disaster ?

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Happy 2016 New Year !

来自数学迷的祝福:

2016=666+666+666+6+6+6

祝大家2016年顺心随意! 顺风顺水!六六大顺!

2016=888+888+88+88+8+8+8+8+8+8+8+8

祝大家2016年事业兴旺发达!一路发!

2016=999+999+9+9

祝幸福的日子长长久久!

2016=168+168+168+168+168+168+168+168+168+168+168+168
總共12個168,祝大家2016的每個月都一路發!