Tag Archives: automation

2015 Year in Review

I’m going to try picking the most frightening, most hopeful, and most interesting post from each month. If the most interesting is also the most frightening or most hopeful, I’ll pick the next most interesting. Then I’ll have 12 nominees in each category and I’ll try to pick the most frightening, hopeful, and interesting posts of the year.

JANUARY

Most frightening: Johan Rockstrom and company have updated their 2009 planetary boundaries work. The news is not getting any better. 4 of the 9 boundaries are not in the “safe operating space”: climate change, loss of biosphere integrity, land-system change, altered biogeochemical cycles (phosphorus and nitrogen).

Most hopeful: It is starting to seem politically possible for the U.S. to strengthen regulation of risk-taking by huge financial firms.

Most interesting: Taxi medallions have been called the “best investment in America”, but now ride-sharing services may destroy them.

FEBRUARY

Most frightening: There are some depressing new books out there about all the bad things that could happen to the world, from nuclear terrorism to pandemics. Also a “financial black hole”, a “major breakdown of the Internet”, “the underpopulation bomb”, the “death of death”, and more!

Most hopeful: A new study suggests a sudden, catastrophic climate tipping point may not be too likely.

Most interesting: Government fragmentation explains at least part of suburban sprawl and urban decline in U.S. states, with Pennsylvania among the worst.

MARCH

Most frightening: The drought in California and the U.S. Southwest is the worst ever, including one that wiped out an earlier civilization in the same spot. At least it is being taken seriously and some policies are being put in place. Meanwhile Sao Paulo, Brazil is emerging as a cautionary tale of what happens when the political and professional leadership in a major urban area fail to take drought seriously. Some people are predicting that water shortages could spark serious social unrest in developing countries.

Most hopeful: If we want to design ecosystems or just do some wildlife-friendly gardening, there is plenty of information on plants, butterflies, and pollinators out there. There is also an emerging literature on spatial habitat fragmentation and how it can be purposely designed and controlled for maximum benefit.

Most interesting (I just couldn’t choose between these):

  • Innovation in synthetic drugs is quickly outpacing the ability of regulatory agencies to adapt. (I struggled whether to put this in the negative or positive column. Drugs certainly cause suffering and social problems. But that is true of legal tobacco and alcohol, and prescription drugs, as well as illegal drugs. The policy frameworks countries have used to deal with illegal drugs in the past half century or so, most conspicuously the U.S. “war” on drugs, have led to more harm than good, and it is a good thing that governments are starting to acknowledge this and consider new policies for the changing times.)
  • Germ-line engineering is much further along than anyone imagined.” This means basically editing the DNA of egg and sperm cells at will. I put this in the positive column because it can mean huge health advances. Obviously there are risks and ethical concerns too.

APRIL

Most frightening: A group of well-known economists is concerned that the entire world has entered a period of persistently low economic growth, or “secular stagnation“.

Most hopeful: Donald Shoup, author of The High Cost of Free Parking, is retiring. That might sound bad, but his ground-breaking ideas are continuing on and actually seem to be going mainstream.

Most interesting:

  • Biotechnology may soon bring us the tools to seriously monkey with photosynthesis. (This is one of those stories where I struggle between the positive and negative columns, but clearly there is a potential upside when we will have so many mouths to feed.)
  • Peter Thiel thinks we can live forever. (positive, but do see my earlier comment about mouths to feed…)

MAY

Most frightening: We’ve hit 400 ppm carbon dioxide in the atmosphere, not just some places sometimes but pretty much everywhere, all the time.

Most hopeful: The rhetoric on renewable energy is really changing as it starts to seriously challenge fossil fuels on economic grounds. Following the Fukushima disaster, when all Japan’s nuclear reactors were shut down, the gap was made up largely with liquid natural gas and with almost no disruption of consumer service. But renewables also grew explosively. Some are suggesting Saudi Arabia is supporting lower oil prices in part to stay competitive with renewables. Wind and solar capacity are growing quickly in many parts of the world.Lester Brown says the tide has turned and renewables are now unstoppable.

Most interesting: Human chemical use to combat diseases, bugs, and weeds is causing the diseases, bugs and weeds to evolve fast.

JUNE

Most frightening: One estimate says that climate change may reduce global economic growth by 3% in 2050 and 7-8% by 2100. Climate change may also double the frequency of El Nino. The DICE model is available to look at climate-economy linkages. Dennis Meadows and Jorgen Randers describe what a coming long, slow decline might look like. Rising temperatures in the Arctic are drying things out, leading to more fires, which burns more carbon, which raises temperatures, in an accelerating feedback loop.

Most hopeful: Stock values of U.S. coal companies have collapsed.

Most interesting: According to Paul Romer, academic economics has lost its way and is bogged down in “mathiness”.

JULY

Most frightening: James Hansen is warning of much faster and greater sea level rise than current mainstream expectations.

Most hopeful: Edible Forest Gardens is a great two book set that lays out an agenda for productive and low-input ecological garden design in eastern North America. You can turn your lawn into a food forest today.

Most interesting:

AUGUST

Most frightening: Steven Hawking is worried about an artificial intelligence arms race starting “within years, not decades”.

Most hopeful: It may be possible to capture atmospheric carbon and turn it into high-strength, valuable carbon fiber. This sounds like a potential game-changer to me, because if carbon fiber were cheap it could be substituted for a lot of heavy, toxic and energy-intensive materials we use now, and open up possibilities for entirely new types of structures and vehicles.

Most interesting:

  • gene drive” technology helps make sure that genetically engineered traits are passed along to offspring.
  • Technology marches on – quantum computing is in early emergence, the “internet of things” is arriving at the “peak of inflated expectations”, big data is crashing into the “trough of disillusionment”, virtual reality is beginning its assent to the “plateau of productivity”, and speech recognition is arriving on the plateau. And super-intelligent rodents may be on the way.
  • Robotics may be on the verge of a Cambrian explosion, which will almost certainly be bad for some types of jobs, but will also bring us things like cars that avoid pedestrians and computer chips powered by sweat. I for one am excited to be alive at this moment in history.

SEPTEMBER

Most frightening: Climate may be playing a role in the current refugee crisis, and the future may hold much more of this.

Most hopeful: The right mix of variety and repetition might be the key to learning.

Most interesting: Edward Tufte does not like Infographics.

OCTOBER

Most frightening: Corrupt Russian officials appear to be selling nuclear materials in Moldova.

Most hopeful: Elephants seem to have very low rates of cancer. Maybe we could learn their secrets.

Most interesting: Stephen Hawking is worried about inequality and technological unemployment.

NOVEMBER

Most frightening: I noticed that Robert Costanza in 2014 issued an update to his seminal 1997 paper on ecosystem services. He now estimates their value at $125 trillion per year, compared to a world economy of $77 trillion per year. Each year we are using up about $4-20 trillion in value more than the Earth is able to replenish. The correct conclusion here is that we can’t live without ecosystem services any time soon with our current level of knowledge and wealth, and yet we are depleting the natural capital that produces them. We were all lucky enough to inherit an enormous trust fund of natural capital at birth, and we are spending it down like the spoiled trust fund babies we are. We are living it up, and we measure our wealth based on that lifestyle, but we don’t have a bank statement so we don’t actually know when that nest egg is going to run out.

Most hopeful: There are plenty of ways to store intermittent solar and wind power so they can provide a constant, reliable electricity source.

Most interesting: Asimov’s yeast vats are finally here. This is good because it allows us to produce food without photosynthesis, but bad because it allows us to produce food without photosynthesis.

DECEMBER

Most frightening: Cyberattacks or superflares could destroy the U.S. electric grid.

Most hopeful: We had the Paris agreement. It is possible to be cynical about this agreement but it is the best agreement we have had so far.

Most interesting: I mused about whether it is really possible the U.S. could go down a fascist path. I reviewed Robert Paxton’s five stages of fascism. I am a little worried, but some knowledgeable people say not to worry. After reading Alice Goffman’s book On the Runthough, one could conclude that a certain segment of our population is living in a fascist police state right now. There is some fairly strong evidence that financial crises have tended to favor the rise of the right wing in Europe.

DISCUSSION

Well, one thing that certainly jumps out on the technology front is biotechnology. We have a couple articles about the possibility of drastic increases in the human lifespan, and what that would mean. “Germ-line engineering”, “gene drive”, and “CRISPR” are all ways of monkeying with DNA directly, even in ways that get passed along to offspring. To produce more food, we may be able to monkey with the fundamentals of photosynthesis, and if that doesn’t work we can use genetically engineered yeast to bypass photosythesis entirely.

At the risk of copyright infringement, I am reproducing the “Gartner hype cycle” below, which was mentioned in one of the posts from August.

Gartner Hype Cycle

Gartner Hype Cycle

Government and corporate labs have been making huge advances in biotechnology in the last decade or so, so it is well beyond the “innovation trigger”. It has not yet reached the “peak of inflated expectations” where it would explode onto the commercial and media scene with a lot of fanfare. I expect that will happen. We will probably see a biotech boom, a biotech bubble, and a biotech bust similar to what we saw with the computers and the internet. And then it will quietly pervade every aspect of our daily lives similar to computers and the internet, and our children will shrug and assume it has always been that way.

Obviously there are dangers. A generation of people that refuse to die on time would be one. Bioterrorism is obviously one. Then there is the more subtle matter that as we raise the limit on the size our population and consumption level can attain, the footprint of our civilization will just grow to meet the new limit. When and how we come up against these limits, and what to do about it, is the subject of the updates to two seminal papers on these issues, by Rockstrom and Costanza. We have entered an “unsafe operating space” (Rockstrom), where we are depleting much more natural capital each year than the planet can replenish (Costanza), and there will be consequences. The Paris agreement is one hopeful sign that our civilization might be able to deal with these problems, but even if we deal with the carbon emission problem, it might be too late to prevent the worst consequences, and there are going to be “layers of limits” as the authors of Limits to Growth put it all those decades ago. If we take care of the global warming problem and figure out a way to grow food for 50 billion people, eventually we will grow to 50 billion people and have to think of something else.

So without further ado:

Most frightening: I can’t pick just one. In the relatively near term, it’s the stalling out of the world economy; the convergence of climate change, drought, and the challenge of feeding so many people; and the ongoing risks from nuclear and biological weapons.

Most hopeful: I see some hope on energy and land use issues. The Paris agreement, combined with renewable energy and energy storage breakthroughs, the potential for much more efficient use of space in cities rather than letting cars take up most of the space, are all hopeful. The possibility of making carbon fiber out of carbon emissions is a particularly intriguing one. At my personal scale, I am excited to do some sustainable gardening of native species that can feed both people and wildlife. I don’t expect my tiny garden to make a major difference in the world, but if we all had sustainable gardens, they were all connected, and we weren’t wasting so much space on roads and parking, it could start adding up to a much more sustainable land use pattern.

Most interesting: I’ve already mentioned a lot of stuff, so I will just pick something I haven’t already mentioned in the discussion above: the rise of synthetic drugs. It’s just an interesting article and makes you think about what it will mean to have advanced chemical, information, and biological technologies in the hands of the little guy, actually many, many little guys. It is a brave, new, dangerous, exciting world indeed. Happy new year!

December 2015 in Review

Now it’s time to review December 2015, before we get on to reviewing 2015 as a whole.

Negative stories (-10):

  • Some car dealers are deliberately talking customers out of buying electric cars that they want, because the car dealer will make less money on oil changes. (-1)
  • Breaking news: we can’t believe everything we hear on the internet. Some of it is deliberate government and corporate propaganda, and some is “online filter bubbles” or marketing algorithms telling each of us only what we want to hear. Data used by all these algorithms is becoming more and more valuable. (-1)
  • Cyberattacks or superflares could destroy the U.S. electric grid. (-1)
  • Guns cause gut-wrenching, accidental deaths of children quite frequently in the U.S. The U.S. has a rate of violent assault 5-10 times higher than our close Anglo-American cousins, which in turn have higher rates than most of Europe and developed Asia. (-1)
  • I mused about whether it is really possible the U.S. could go down a fascist path. I reviewed Robert Paxton’s five stages of fascism. I am a little worried, but some knowledgeable people say not to worry. After reading Alice Goffman’s book On the Run though, one could conclude that a certain segment of our population is living in a fascist police state right now. There is some fairly strong evidence that financial crises have tended to favor the rise of the right wing in Europe. (-2)
  • After more than a decade of drought, there may not be enough water to sustain both Lake Powell and Lake Mead in the U.S. desert southwest. Some are suggesting draining Lake Powell. (-1)
  • This year’s “super El Nino” might have happened with or without climate change, but climate change made it more likely. I have to admit though I enjoyed sitting on my front porch in shorts on Christmas here in Philadelphia. (-1)
  • Jeffrey Sachs makes a pretty good case that the rise of violent religious fanaticism in the Middle East is largely the CIA’s fault. (-2)

Positive stories (+13):

    • Las Vegas is planning to go all renewable by 2017, mostly centralized solar. (+1)
    • Children have a natural aptitude for learning to recognize patterns. Now all we have to do is figure out which patterns we should be teaching them to recognize. (+1)
    • Some U.S. Presidential candidates want to invest in infrastructure, which is good. A national infrastructure plan might also be good. (+1)
    • Ericcson released some technology predictions for 2016 and beyond: Artificial intelligence will start to assist us without the need for smartphone screens. Virtual reality will start to come into its own for tech support, sports, dating, and shopping. And we will start to see more sensors embedded in our homes and eventually our bodies. (+1)
    • Trends in Ecology and Evolution made some technology predictions too: “managed bees as transporters of biological control agents, artificial superintelligence, electric pulse trawling, testosterone in the aquatic environment, building artificial oceanic islands, and the incorporation of ecological civilization principles into government policies in China”. (+1)
    • A serious but treatable infection can destroy a tumor. (+1)
    • Self-driving cars could drastically reduce the amount of land required for parking in cities. There are some moves toward car-free central cities around the world. (+3)
    • We had the Paris agreement. It is possible to be cynical about this agreement but it is the best agreement we have had so far. (+2)
    • New York City recently finished planting a million trees. (+2)

So we end the year on a positive note!

package delivery robots

Here come the package delivery robots. I don’t know that this couldn’t work in a quieter urban residential neighborhood. This would work great on several narrow streets I have lived on in Philadelphia, where post office and UPS/FedEx trucks typically double park at the nearest intersection (often blocking crosswalks, fire hydrants, bike lanes, etc. because there aren’t other options) and then walk in. Urban areas can take a number of forms other than high rise towers and central business districts, which is what (most likely suburban living) authors of articles like this always seem to be picturing.

Dyson, Feynman, Hawking… Carson?

Thinking back to my recent post about Freeman Dyson – a brilliant physicist who has suggested solutions to problems in biology, which biologists refuse to take seriously.

Here is what Richard Feynman has to say about scientists trying to solve puzzles outside their fields:

I believe that a scientist looking at nonscientific problems is just as dumb as the next guy — and when he talks about a nonscientific matter, he will sound as naive as anyone untrained in the matter…

In this age of specialization men who thoroughly know one field are often incompetent to discuss another. The great problems of the relations between one and another aspect of human activity have for this reason been discussed less and less in public. When we look at the past great debates on these subjects we feel jealous of those times, for we should have liked the excitement of such argument. The old problems, such as the relation of science and religion, are still with us, and I believe present as difficult dilemmas as ever, but they are not often publicly discussed because of the limitations of specialization.

Maybe, but is the solution then for everyone to specialize, accept the blinders that specialization causes, and never look beyond them? That can’t be right. The solution has to be for everyone to be trained in a comprehensive, general theory of system science. Then some people remain generalists, while others go on to specialize in a particular type or locality within that larger system theory. Then we would all have a common language and framework for talking to each other.

Take the case of Ben Carson, the “neuroscientist who can’t think“:

When Trump, an alumnus of the University of Pennsylvania’s Wharton School, says that climate change is a hoax, I can believe it’s a cynical lie pandering to the Republican base, rather than an index of his ignorance.  But when Carson, a retired Johns Hopkins neurosurgeon, denies that climate change is man-made, or calls the Big Bang a fairy tale, or blames gun control for the extent of the Holocaust, I think he truly believes it.

It’s conceivable that the exceptional hand-eye coordination and 3D vision that enabled Carson to separate conjoined twins is a compartmentalized gift, wholly independent of his intellectual acuity. But he could not have risen to the top of his profession without learning the Second Law of Thermodynamics (pre-meds have to take physics), without knowing that life on earth began more than 6,000 years ago (pre-meds have to take biology), without understanding the scientific method (an author of more than 120 articles in peer-reviewed journals can’t make up his own rules of evidence).  Yet what does it mean to learn such things, if they don’t stop you from spouting scientific nonsense? …

What I don’t get is how his rigorous scientific education and professional training gave Carson’s blind spots a pass.

The Feynman quote is in a Forbes article trying to refute Stephen Hawking talking about technological unemployment. From the Forbes article:

…the rise of the robots cannot possibly make us any poorer than we are now. And that’s in the very worst case: the worst that can possibly happen is that some other people become richer and we get to jog along much as we do now. That’s also the result that is vanishingly unlikely to actually happen. What is far more likely to happen is that we all, jointly, become vastly wealthier…

We have some mixture of human labour and machinery, automation, which produces the things that we consume today. Further, the only useful definition of income is what we’re able to consume. We’re not really interested in whether people have jobs or not, we also don’t care very much about income as income. The root point that we do care about is that people are able to consume things. Shelter, clothing, food, health care, the real point is that people get to eat, sleep under a roof, not be naked (except, of course, when that’s more fun), get treated for what ails them (possibly the result of that fun) and so on. Or, as Adam Smith said, the sole purpose of any production is consumption. It is only consumption, the ability to consume, which is the issue of any importance.

Well, I have a big philosophical problem that the idea that the purpose of life is consumption. What about love, art, achievement, leisure? But let’s stick to science and economics. I don’t have to be Stephen Hawking or even Richard Feynman to give some easy counter-examples. First, if we “produce” more, as measured in dollars changing hands, we can easily be degrading things that aren’t easily measured in dollars, like the atmosphere, forests, and oceans, for example. And eventually, the loss of these ecosystems could bring our civilization to its knees, making us very poor indeed in material terms, no how many dollars we thought we had. That’s a little theoretical, but for recent and obvious cases of technological unemployment, look at the displacement of agricultural workers in the southern U.S. in the early to mid-20th century, and the continuing poverty, ill health, and social problems of their descendants today. Or if you think racism was a larger factor than economic factors there (I think the two are overlapping and intertwined in many ways), look at the factory workers in Appalachia, both black and white, who were displaced by lower cost labor overseas. Again, their descendants are beset by widespread poverty, health and social problems which show no sign of getting better any time soon. So clearly, technological unemployment causes real poverty and suffering for some people, some places, and some times. The difference between these past examples and the AI future might be that it affects most people, most places, all the time, unless we find political solutions to spread the wealth.

And here is Stephen Hawking on exactly that subject in his recent “ask me anything” session:

The outcome will depend on how things are distributed. Everyone can enjoy a life of luxurious leisure if the machine-produced wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

Now, I’m not a famous physicist or even a brain surgeon, but that sounds about right to me.

Viktor Glushkov

Viktor Glushkov was a Soviet computer science who developed an idea for a cash-free, computer-controlled economic system. The theory is seductive because the idea was to improve information flows and feedback loops while reducing lag times. In other words, if you could collect perfect information and make it perfectly available, the economy could be perfectly efficient and in perfect balance. It didn’t work out, running into the crushing Soviet bureaucracy and technological limits. But in theory at least, the technology would be less of a constraint today.

Glushkov’s initial proposal included one particularly controversial provision. He envisioned that the new network would monitor all labor, production, and retail, and he proposed to eliminate paper money from the economy and to rely entirely on electronic payments. Perhaps Glushkov hoped that this idea would appeal personally to Khrushchev. The elimination of paper money evoked the Marxist ideal of money-free communist society, and it seemed to bring the Soviet society closer to the goal of building communism, promulgated by Khrushchev at the Twenty-Second Party Congress in 1961. The Academy president Keldysh, who was much more experienced in top-level bureaucratic maneuvers, advised Glushkov to drop the provision, for it would ‘only stir up controversy.’ Glushkov cut out this section from the main proposal and submitted it to the Party Central Committee under a separate cover. If ideology were to play any significant role in Soviet top-level decision-making, this was its best chance. Glushkov’s proposal to eliminate money, however, never gained support from the Party authorities.

Norbert Wiener

Cybernetics, Second Edition: or the Control and Communication in the Animal and the Machine

According to The Atlantic,

Wiener is best known as the inventor of “cybernetics,” a fertile combination of mathematics and engineering that paved the way for modern automation and inspired innovation in a host of other fields. He was also one of the first theorists to identify information as the lingua franca of organisms as well as machines, a shared language capable of crossing the boundaries between them…

Wiener refused, for ethical reasons, to accept research contracts from the military or from corporations seeking to exploit his ideas. Since the military and corporations were the main sources of research support, Wiener’s defiance hindered his progress during a period of unprecedented technological advance. Besides nuclear weapons, Wiener was perhaps most worried about the technology he was most directly responsible for developing: automation. Sooner than most, he recognized how businesses could use it at the expense of labor, and how eager they were to do so. “Those who suffer from a power complex,” he wrote in 1950, “find the mechanization of man a simple way to realize their ambitions…”

The complete synthesis of humans and machines predicted by the transhumanists could represent the vindication of cybernetics—as well as Wiener’s ultimate nightmare. His fears for the future stemmed from two fundamental convictions: We humans can’t resist selfishly misusing the powers our machines give us, to the detriment of our fellow humans and the planet; and there’s a good chance we couldn’t control our machines even if we wanted to, because they already move too fast and because increasingly we’re building them to make decisions on their own. To believe otherwise, Wiener repeatedly warned, represents a dangerous, potentially fatal, lack of humility.

self driving buses

Here’s another example of self driving vehicles expected in operation within a year or two, not 10-15 years as the pessimists are telling us.

EasyMile has already deployed its low-speed EZ10 shuttles — known as SDVs, or Shared Driverless Vehicles — in closed environments in Finland, France, Italy, Spain and Switzerland. At one location, the shuttles travel around an amusement park. In another, they take day-trippers from a parking lot to a beachfront. Much like the self-driving cars being developed by Google and other Silicon Valley companies, the vehicles use high-definition internal mapping software to know their routes and various sensors to avoid pedestrians and other obstacles.

But the vehicles will have to be modified to follow the new self-driving handbook from the California Department of Motor Vehicles, which is already in force for testing on public roads and still being developed for consumer use.

“In Europe these are truly driverless cars; they don’t even have a steering wheel,” but in California a steering wheel, brake pedal and accelerator must be added, Willis said.

August 2015 in Review

Negative stories (-12):

  • About 7-19% of cancers are caused by chemicals in the environment. (-1)
  • Steven Hawking is worried about an artificial intelligence arms race starting “within years, not decades”. (-2)
  • The anti-urban attack continues, based on the false idea that crowded, stressful living conditions are the only type of urban living conditions available, and people are being forced into them against their will. This is naked, obvious propaganda that must be rejected. (-1)
  • The more ignorant our species is, the more confident we tend to feel. (-3)
  • According to Naomi Klein, “Our economic system and our planetary system are now at war.”  In related news, July was the warmest month ever recorded by humans, and carbon dioxide concentrations are the highest seen for millions of years. (-3)
  • The media buzz about a worldwide recession seems to be increasing. (-2)

Positive stories (+12):

  • The suburban vs. urban culture wars continue. Suburban office parks are tanking as young people prefer more urban job settings. Entrepreneurs are working on the problems of being car-less with children. (+1)
  • Steven Hawking has a plan to figure out if there is any intelligent life out there. (+1)
  • There are straightforward, practical ideas for dealing with the issues of loading, deliveries, and temporary contractor parking in dense urban areas. (+1)
  • Economists have concluded that preventing human extinction may be economical after all, because “reducing an infinite loss is infinitely profitable”. Is this kind of thinking really useful? (+0)
  • gene drive” technology helps make sure that genetically engineered traits are passed along to offspring. (+0)
  • Technology marches on – quantum computing is in early emergence, the “internet of things” is arriving at the “peak of inflated expectations”, big data is crashing into the “trough of disillusionment”, virtual reality is beginning its assent to the “plateau of productivity”, and speech recognition is arriving on the plateau. And super-intelligent rodents may be on the way. (+1)
  • Honeybees may be in trouble, but they are not the only bees. (+0)
  • Robotics may be on the verge of a Cambrian explosion, which will almost certainly be bad for some types of jobs, but will also bring us things like cars that avoid pedestrians and computer chips powered by sweat. I for one am excited to be alive at this moment in history. (+2)
  • Dogs can be trained to smell cancer. (+1)
  •  There’s promise of a vaccine for MERS. (+1)
  • It may be possible to capture atmospheric carbon and turn it into high-strength, valuable carbon fiber. This sounds like a potential game-changer to me, because if carbon fiber were cheap it could be substituted for a lot of heavy, toxic and energy-intensive materials we use now, and open up possibilities for entirely new types of structures and vehicles. (+3)
  • Robot deliveries and reusable containers could be a match. (+1)

You might think I rigged that to come out even, but I didn’t.

more on automation

The Economist has an article reviewing three recent papers on automation (i.e. robots, artificial intelligence) and employment. For two of the three papers, the bottom line is that automation has led to inequality in the past, because it means unemployment for some groups of people, but has led to overall economic growth and society-wide benefits in the longer term. The third paper, however, talks about the current exponential “explosion” of technological progress as a revolutionary development that cannot be compared to anything in the recent past. The last time anything like this happened was about 500 million years ago.

These are all open access, so I’ll put links to the papers below along with abstracts.

Autor, David H. 2015. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation.” Journal of Economic Perspectives, 29(3): 3-30.

In this essay, I begin by identifying the reasons that automation has not wiped out a majority of jobs over the decades and centuries. Automation does indeed substitute for labor—as it is typically intended to do. However, automation also complements labor, raises output in ways that leads to higher demand for labor, and interacts with adjustments in labor supply. Journalists and even expert commentators tend to overstate the extent of machine substitution for human labor and ignore the strong complementarities between automation and labor that increase productivity, raise earnings, and augment demand for labor. Changes in technology do alter the types of jobs available and what those jobs pay. In the last few decades, one noticeable change has been a “polarization” of the labor market, in which wage gains went disproportionately to those at the top and at the bottom of the income and skill distribution, not to those in the middle; however, I also argue, this polarization is unlikely to continue very far into future. The final section of this paper reflects on how recent and future advances in artificial intelligence and robotics should shape our thinking about the likely trajectory of occupational change and employment growth. I argue that the interplay between machine and human comparative advantage allows computers to substitute for workers in performing routine, codifiable tasks while amplifying the comparative advantage of workers in supplying problem-solving skills, adaptability, and creativity.

Mokyr, Joel, Chris Vickers, and Nicolas L. Ziebarth. 2015. “The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?” Journal of Economic Perspectives, 29(3): 31-50.

Technology is widely considered the main source of economic progress, but it has also generated cultural anxiety throughout history. The developed world is now suffering from another bout of such angst. Anxieties over technology can take on several forms, and we focus on three of the most prominent concerns. First, there is the concern that technological progress will cause widespread substitution of machines for labor, which in turn could lead to technological unemployment and a further increase in inequality in the short run, even if the long-run effects are beneficial. Second, there has been anxiety over the moral implications of technological process for human welfare, broadly defined. While, during the Industrial Revolution, the worry was about the dehumanizing effects of work, in modern times, perhaps the greater fear is a world where the elimination of work itself is the source of dehumanization. A third concern cuts in the opposite direction, suggesting that the epoch of major technological progress is behind us. Understanding the history of technological anxiety provides perspective on whether this time is truly different. We consider the role of these three anxieties among economists, primarily focusing on the historical period from the late 18th to the early 20th century, and then compare the historical and current manifestations of these three concerns.

Pratt, Gill A. 2015. “Is a Cambrian Explosion Coming for Robotics?” Journal of Economic Perspectives, 29(3): 51-60.

About half a billion years ago, life on earth experienced a short period of very rapid diversification called the “Cambrian Explosion.” Many theories have been proposed for the cause of the Cambrian Explosion, one of the most provocative being the evolution of vision, allowing animals to dramatically increase their ability to hunt and find mates. Today, technological developments on several fronts are fomenting a similar explosion in the diversification and applicability of robotics. Many of the base hardware technologies on which robots depend—particularly computing, data storage, and communications—have been improving at exponential growth rates. Two newly blossoming technologies—”Cloud Robotics” and “Deep Learning”—could leverage these base technologies in a virtuous cycle of explosive growth. I examine some key technologies contributing to the present excitement in the robotics field. As with other technological developments, there has been a significant uptick in concerns about the societal implication of robotics and artificial intelligence. Thus, I offer some thoughts about how robotics may affect the economy and some ways to address potential difficulties.

more on the internet of things

Here is another Brookings article talking about the “internet of things” and productivity.

Nearly 30 years ago, the economists Robert Solow and Stephen Roach caused a stir when they pointed out that, for all the billions of dollars being invested in information technology, there was no evidence of a payoff in productivity…

By the late 1990s, the economists Erik Brynjolfsson and Lorin Hitt had disproved the productivity paradox, uncovering problems in the way service-sector productivity was measured and, more important, noting that there was generally a long lag between technology investments and productivity gains.

Our own research at the time found a large jump in productivity in the late 1990s, driven largely by efficiencies made possible by earlier investments in information technology. These gains were visible in several sectors, including retail, wholesale trade, financial services, and the computer industry itself. The greatest productivity improvements were not the result of information technology on its own, but by its combination with process changes and organizational and managerial innovations.

So we can expect a delayed productivity effect. The real question to me is not just whether this will happen, but whether the productivity gain will translate into better quality of life for most people. If productivity per hour of work goes up, that would mean economic growth if people keep working the same amount. But it can instead mean there are fewer jobs for people to do. A small number of companies and individuals might then reap the benefits, and it might not benefit the average person.