January 27, 2019

The new geography of jobs by Enrico Moretti

The new geography of jobs by Enrico Moretti

Despite all the hype about the ‘death of distance’ and the ‘flat world’ where you live matters more than ever. Where you live greatly affects all aspects of your life. From your career to your finances, from the kind of people, you meet to the values your children are exposed to. As Americas’ cities grow apart, it is more important than ever to understand the new geography of jobs.

Research indicates that for each manufacturing job lost, 1.6 additional jobs are eventually lost outside that sector in the affected communities. These losses include barbers, waiters, carpenters, doctors, cleaners, and retailers.

From a point view of a city, a high-tech job is more than a job. Indeed, my research shows that for each new high-tech job in a city, five additional jobs are ultimately created outside of the high-tech sector in that city; both in skilled occupations (lawyers, teachers, nurses) and unskilled ones (waiters, hairdressers, carpenters).

American factories produce the same output as China, more than double that of Japan and several times that of Germany & Korea. The US manufacturing sector alone is larger than the entire UK economy and it is growing. Since 1970, US manufacturing has doubled its output and keeps expanding over time.

Technological improvements and investments in new and more sophisticated machinery are also one reason for the disappearance of manufacturing jobs. Com[ared to 1950, today GM needs four times fewer workers for each car it produces. Those workers who do have a job in manufacturing are now more productive than before and therefore earn higher wages, but there are far fewer of them.

This is another of the intriguing paradoxes of economic growth: increases in productivity lower prices for consumers and raise wages, but they ultimately end up killing jobs.

Right now there are about 141 million workers in the US. About 112 million work in the private sector, the rest is various forms of governmental jobs.

Facebook apps have directly created at least 53,000 new jobs and have indirectly created at least 130,000 more jobs in related business services. These are not trivial numbers and together they put the total value of salaries and benefits associated with Facebook at over $12 billion.

The growth of the software sector is also impressive. You might not realize it, because most of the media coverages focus on the outsourcing of software jobs to places like Bangalore. But the data tell us that US jobs in software have actually grown by 562% over the past 2 decades - not as explosive as the internet sector, but still 32 times greater than the rest of the labor market.

With an impressive 300% growth in employment for over 20 years, life science research is another pillar of the innovation sector.  The Bureau of Labor Statistics put biomedical engineers at the top of the list of the 20 occupations expected to grow the most of the next 10 years, with a predicted growth rate of 72%. Medical scientist, biochemists, and biophysicists rank near the top.

I found that workers who live in cities where the number of college graduates increases experience faster salary gains than workers who live in cities where the number of college graduates stagnates. There are three reasons for the relationship between the number of skilled workers in a city and the wages of their unskilled neighbors. First, skilled and unskilled workers compliment each other: an increase in the former raises the productivity of the later. In the same way that working with better machines increases a worker’s productivity, working with better-educated collages increases the productivity of an unskilled worker. Second, a better-educated labor force facilitates the adoption of newer and better technologies by local employers. Third, an increase in the overall level of human capital in a city generates what economists call human capital externalities.

The geographical sorting of individuals with different educational and income levels is likely to exacerbate the longevity differences resulting from these disparities. The reason is simple: poorly educated individuals who live in a community where everyone else has low levels of education are likely t adopt less healthy lifestyles than poorly educated individuals in a community where there is a mix of educational and income levels. Economists call this a social multiplier effect.

What is the city with the highest divorce rate in America? It is Flint, Michigan where 28% of all adults reported being divorces in 2009. With a local economy ravaged by the closer of auto manufacturing plants, declining wages and a disappearing middle class, Flint, together with other Rust Belt cities, have long been in a state of economic decline.

In the world of innovations, productivity and creativity can outweigh labor and real estate costs. Walmart saw three important competitive advantages to a San Francisco location, which economists refer to collectively as the force of agglomeration: thick labor markets (that is, places with there is a good choice of skilled workers trained in a specific field),. The presence of specialized service providers, and most important, knowledge spillovers. These forces ultimately determine the location of innovative workers and companies and therefore shape the future of entire communities. These forces are stronger and they will affect each and every American worker in the years to come.

While being fortunate or unfortunate had little to do with schooling, how these young workers reacted to their fortune largely depended on their education. Wozniak found out that among those who entered the labor market in bad times, a larger portion of the college graduate relocated to states with stronger economies while the majority of the high school graduates and high school dropouts did not move. This implies that the job market for a professional position is a national one, while the job market for manual or unskilled positions tends to be more localized so that people ignore good job opportunities in other cities.

The average American spends only 14% of her income on food and beverages, and 17% on transportation. Family budget - 3%; medical care - 6%; recreation -5%; education and communication - 6%. By far the largest item in the budget is housing, which accounts for 40% of spending. This means that most of the difference in costs of living among metropolitan areas reflect differences in the cost of housing, which in turn mostly reflect differences in the cost of land. Other differences arise from the price of local services - things like the haircut and restaurant meals- but these counts considerably less, because their share of the budget is smaller.

Just as with improvements in air quality, the effect of a strong labor market on a family ultimately depends on whether that family belongs to 70% of American who own their homes or 30% who rent. Homeowners in the strengthening labor market gain twice, both because of higher wages and because of higher property values. For them, the effect on well-being is larger than the increase in purchasing power because of the capital gains on their property. This highlights an unexpected conclusion: a significant part of the wealth created by America’s dynamic innovation sector accrues not just through the labor market but through the housing market.

The level of industrial developments in the Tennesse valley was so low that it did not matter too much whether an aluminum smelter, a steel factory or a chemical factory opened its doors. But today, the most important determinant of success for local communities is human capital, and making the right call is much harder.

When the researchers Michael Greenstone and Ada, Looney compared a college education with other financial investments, they discovered that it is difficult to find an investment that has a higher return. Investment in a college degree delivers an inflation-adjusted annual return of more than 15%, significantly larger than the historical return on stocks (7%) and bonds, gold, and real estate (all below 3%). College is where the smart investors should put their money.

During the 1990s, more than one million Soviet emigrants arrived in Israel, most of them highly educated. Given Israel’s size, this amounted to an unprecedented increase in human capital. Although the impact on local manufacturing was disappointing, the high-tech sector experiences a significant jump in productivity and innovation. The same pattern emerges in other cases of mass migration of skilled individuals. On July 1, 1997, UK handed over Hong Kong to China. COncerned about living under Chinese rule, thousands of HK residents, many of the wealthy and well educated, moved to Vancouver in the years proceeding the handover. While there were some inevitable cultural tensions early on and not all the Chinese remained, in the end, the city gained from this inflow in terms of both human and financial capital. The immigrants brought their saving, and the local economy received hundreds of millions of dollars in new investment. Many immigrants settled in towering condos reminiscent of the high-density high rises back home, thus dramatically accelerating the revitalization of downtown. These changes helped turn Vancouver into a culturally diverse global metropolis.

Today the contentious debate on immigration in America misses a key point: a via issues to highly educated immigrants does not necessarily mean one less job for an American citizen. On the contrary, it could mean many more jobs for Ameican citizen. While the foreign-born workers account for 15 % of America’s labor force, they account for a third of all engineers and half of all those with doctorates.

The effect of highly skilled immigrants is apt to be positive, esp. For low skilled Americans.  There are three reasons for this. First, high-skilled immigrants do not compete directly with low-skilled Americans. Second, firms are apt to respond to an inflow of highly skilled immigrants by investing more and this new investment may further raise the productivity of low skilled workers. Third, skilled immigrants generate important spillovers at the local level, since an increase in the number of highly educated individuals in a city tends to strengthen the local economy, thus generating local jobs and raising natives’ wages.

In their recent book, Harvard’s Goldin and Katz call the 20th century the human capital century. The American worker was so much better educated than the workers of other countries that he became the most productive, innovative and entrepreneurial in the world.

The two major trends of the 21st century -- increased globalization and increased localization - are reshaping our work environments and the very fabric of our communities.  They are also redefining America’s role in the world. Although we are no longer the dominant producer of material goods, we are striving to maintain our role as the dominant producer of knowledge and new ideas, To succeed, we need to regain our unity and refocus our priorities. Our unparalleled ability to attract and welcome the most creative individuals from all over the world, the dynamism of our workplace and the strength of our brain hubs give us a significant head start in this new global economy.



January 21, 2019

Life 3.0 by Max Tegmark

Life 3.0 by Max Tegmark

The life defined as a process that can retain its complexity and replicate can develop through three stages: biological evolution, cultural evolution, and technological evolution.

Life 1.0 is unable to redesign either its hardware or its software during its lifetime.; both are determined by its DNA. and changes only through evolution over many generations.

Life 2.0 can redesign much of its software: the human can learn complex new skills - e.g. languages, sports, and profession - and can fundamentally update their worldview and goals.
Life 3.0 which doesn’t yet exist on earth, can dramatically redesign not only its software but it’s hardware as well, rather than having to wait for its to gradually evolve over generations.

The ability to change its design (software) enables life 2.9 to be not only smarter than life 1.0, but also flexible. If the environment changes, 1.0 can only adapt by evolving over many generations. Life 2.0 on the other hand, can adapt almost instantaneously via software update. For example, bacteria frequently encountering antibiotics may evolve drug resistance over many generations, but an individual bacterium won’t change its behavior at all.

You might argue that today’s human should be count as Life 2.1 as we can perform minor hardware upgrades such as implanting artificial teeth, knees, and pacemakers, but nothing as dramatic as getting ten times taller or acquiring thousand times bigger brain.

Artificial Intelligence (AI) may enable us to launch Life 3.0 this century and fascinating conversations have sprung up regarding what future we should aim for and how this can be accomplished.

Intelligence is the ability to accomplish complex goals cannot be measured by a single IQ.

A computation is a transformation of one memory state into another. In other words, a computation takes information and transmit it, implanting what mathematicians call a function. For example, 7 as an input to a square function will transform 7 into 49. How tangible physical stuff can give rise to something that feels as intangibles, abstract and ethereal as intelligence: it feels so non-physical because it’s substrate-independent, taking on a life of its own that doesn’t depend on or reflect the physical details.  In short, computation is a pattern in the space-time arrangements of particles, and it’s not the particles but the pattern that really matters, Matters doesn’t matter.

In other words, the hardware is the matter and the software is the pattern. This substrate independence of computation implies that AI is possible: intelligence does not require flesh, blood or carbon atoms.

Memory, computation, learning, and intelligence have an abstract, intangible and ethereal feel to them because they are substrate independent: able to take on a life of their own that does not depend on or reflect the details of their underlying material substrate.

Any matter can be computronium, the substrate for computation as long as it contains certain universal building blocks that can be combined to implement any function. NAND gates and neurons are two important examples of such universal ‘computational atoms”. A neural network is a powerful substrate for computation as long as it contains certain universal building blocks that can be combined to implement any functions.  Because of the striking simplicity of the laws of physics, we humans only care about a tiny fraction of all imaginable computational problems, and neural networks tend to be remarkably good for solving precisely this tiny fraction.

Moor’s law will of course end, meaning that there is a physical limit to how small transistors can be made. Whenever one technology stopped improving, we replaced it with an even better one. When we could no longer keep shrinking our vacuum tubes, we replaced them with transistors and then integrated circuits, where electrons move around in 2 dimensions. When this technology reaches its limits, there are many other alternatives we can try - for example, using 3-dimensional circuits and using other than electrons to our bidding.

Once the technology gets twice as powerful, it can often be used to design and build technology that’s twice as powerful in turn, triggering repeated capability doubling in the spirit of Moor’s law. The cost of information technology has now halved roughly every two years for about a century, enabling the information age.  If AI progress continues, then long before AI reaches the human level for all skills, it will give us fascinating opportunities and challenges involving issues such as bugs, laws, weapons, and jobs.

Throughout human history, we have relied on the same tried and true approach, to keeping our technology beneficial: learning from mistakes. For example, when invented fire, repeatedly messed up and then invented the fire extinguisher, fire exit, fire alarm, and fire department.

Career advise for kids:

Recent forecasts for when various jobs will get taken over by machines identify several useful questions to ask about a career before deciding to educate oneself for it. For example:
Does it require interacting with people and using social intelligence
Does it involve creativity and coming up with clever solutions?
Does it require working in an unpredictable environment?

The more of these questions you can answer with a yes, the better your career choice is likely to be.

When the automobile came up, horse -owners thought there will be some new jobs that require horses, which never came and it will be the same with AI. Jobs can provide people with more than just money. Voltaire wrote in 1759 that “work keeps at bay three evils: boredom, vice, and need”. Conversely, providing people with income isn’t enough to guarantee their well-being. Romans emperors provided both bread and circuses to keep their underlings content and Jesus emphasized non-material needs in the Bible quote: “Man shall not live by bread alone”. So precisely what valuable things do jobs contribute beyond money and in what alternative ways can a jobless society provide them?

What is the natural state of life in our cosmos: unipolar or multipolar? Is power concentrated on distributed? After the first 13.8 billion years, the answer seems to be ‘both’: we find that the situation is distinctly multipolar but in an interestingly hierarchical fashion. When we consider all the information processing entities out there - cells, people, organization nations tec. - we find that they both collaborate and compete at a hierarchy of levels.

The branch of mathematics known as game theory elegantly explains that entities have an incentive to cooperate where cooperation is a so-called Nash equilibrium: a situation where any party would be worse off if they altered their strategy. To prevent cheaters from ruining the successful collaboration of a large group, it may be in everyone’s interest to relinquish some power to a higher level in the hierarchy that can punish cheaters. For example, people may collectively benefit from granting a government power to enforce laws, and cells in your body may collectively benefit from giving police force the power to kill any cell that acts too uncooperatively spewing out viruses or turning cancerous. Some hierarchies allow their lower parts to influence the higher-ups by democratic voting, while others allow upward influence only through persuasion or the passion of information.

Our experimentation over the millennia with different systems of governance shows how many things can go wrong, ranging from excessive rigidity to excessive goal drift, power grab, succession problems, and incompetency, There are at least four dimensions wherein the optimal balance must be struck:

Centralization - there is a trade-off between and stability: a single leader can be very efficient, but power corrupts and succession is risky.

Inner threats - one must guard both against growing power centralization (group collusion, perhaps even a single leader taking over) and against growing decentralization (into excessive bureaucracy and fragmentation)

Outer threats - if the leadership structure is too open, this enabled outside forces (including AI) to change its values, but if it’s too impervious, it will fail to learn and adapt to change

Goal stability - too much goal drift can transform utopia into dystopia, but too little goal drift can cause failure to adapt to the evolving technological environments.

Most organization fall apart after few years or decades. Only the RC church is the most successful organization in human history in the sense that it’s the only one to have survived 2 millennia.

If we had an abundant supply of antimatter (which we don’t), then a 100% efficient power plant would be easy to make: simply pouring a teaspoonful of anti-water into regular water would unleash the energy equivalent to 200,000 tons of TNT, the yield of typical hydrogen bomb - enough to power the world’s entire energy needs for about 7 minutes.  

Our most common ways of generating energy today are woefully inefficient. Digesting a candy bar is merely 0.00000001% efficient, in the sense that it releases a mere ten-trillionth of the energy mc2 that it contains.

Compared to cosmic timescales of billions of years, an intelligence explosion is a sudden event where the technology rapidly plateaus at a level limited only by the laws of physics.

As per the author of What is life, Erwin Schrodinger that a hallmark of a living system is that it maintains or reduces its entropy by increasing the entropy around it. In other words, the second law of thermodynamics has a life loophole: although the total entropy must increase, it’s allowed to decrease in some places as long as it increases even more elsewhere. So, life maintains or increases its complexity by making its environment messier.

Not only can non-living matter have goals, at least in this weak sense, but increasingly does. If you’d been observing Earth’s atoms since our planet formed, you’d have noticed three stages of goal-oriented behavior:

  1. All matter seemed focused on dissipation (entropy increase)
  2. Some of the matter came alive and instead focuses on replication and sub-goals of that
  3. A rapidly growing fraction of matter was rearranged by living organisms to help accomplish their goals.

Some of the goal-oriented entities:

5 x 10e30 bacteria - 400 billions of tons
Plants - 400 billions of tons
7 x 10 e9 humans - 0.4 billion tons
10e 14 ants - 0.3 billion of tons


It is fascinating for me to hear and read the ethical views of many thinkers over many years and the way I see it, most of their preferences can be distilled into four principles:

Utilitarianism - positive conscious experience should be maximized and suffering should be minimized.

Diversity - a diverse set of positive experience is better than many repetitions of the same experience, even if th4e latter has been identified as the most positive experience possible

Autonomy - conscious entities/societies should have the freedom to pursue their own goals unless this conflicts with an overriding principle

Legacy - compatibility with scenarios that most humans today world view as happy, incompatibility with scenarios that essentially all human today would view as terrible.

The ultimate origin of goal-oriented behaviors lined in the laws of physics which involve optimization.  Since humans don’t have the resources to figure out the truly optimal replication strategy, we have evolved useful rules of thumb that guide our decisions: feels such as hunger, thirst, pain, lust, and passion.

Consciousness = subjective experience




Books referred to in this book.
The day my butt went psycho / Andy Griffiths.’
Superintelligence by Nick Bostrom
The Organization of Behavior b: A neuropsychological theory by Donald Hebb

What is life by Erwin Schrodinger