Tag Archives: automation

2014 Report Card

It’s taken me a while to get out a “year in review” post for 2014, but anyway, here it is. This won’t be a masterpiece of the essay form. I’m just going to ramble on about some interesting trends and themes from the year, along with a few relevant links.

The critical question this blog tries to answer is, is our civilization failing or not? I’ll talk about our human economy, our planetary system, and make some attempt to tie the two together.

Overall Human Health and Wellbeing. First, there are some very happy statistics to report. For example, worldwide child mortality has dropped almost by half just since 1990. What better measure of progress could there be than more happy, healthy childhoods? And it’s not just about increasing wealth – people in developing countries today have much better health outcomes at the same level of wealth compared to developing countries of the past (for example, Indonesia today vs. the United States when it passed the same income level). It’s hard to argue against the idea that economic growth and technological change have obviously eliminated a lot of human suffering. So, I think the important questions are, will these trends continue? Is the system stable? Can the natural environment continue to support this trend indefinitely? There may also be an important question of whether we had the right to exploit the natural environment to get us to the point where we are now, but that is an academic question at this point.

Financial System Instability. Let’s talk about the stability of our human economic system. The U.S. economy may finally seem to be picking up from the aftermath of the severe 2007-8 financial crisis, but it is certainly far below where it would be if that hadn’t happened and the prior growth trend had just continued since then. The rest of the world isn’t doing so well, however – Europe and Japan are looking particularly slow if not in an outright deflationary spiral, at the same time developing countries appear to be slowing down. Some are calling this a “new normal” for the world economy. More scary than that, the industry-written regulations and perverse incentives allowing the excessive risk taking that caused the crisis have not been fully addressed and the whole episode could recur in the short term.

Thoughts on Ecosystem and Economic “Pulsing”. 2007-8 was a textbook financial crisis – although it was caused by novel forms of money and risk taking beyond the direct reach of government regulators and central banks, it was not that different from crises caused by plain old speculation and over-lending back when there were no central banks around. It’s hard to draw a direct link from the financial crisis to ecosystem services, climate change, or natural resource scarcity. However, if we think about natural ecosystems, they are resilient to outside stressors up to a point – say, moderate fluctuations in temperature, hydrology, or pressure from non-native species. However, say a major fluctuation happens such as a major flood or fire that causes serious damage. In the absence of major outside stressors, the system will eventually recover to its original state, but in the presence of major outside stressors, even if they did not cause the flood or fire, it may never bounce back all the way. In the same way, our human economy may appear resilient to the effects of climate change, ocean acidification, soil erosion, and so forth for a long time, but then when something comes out of left field, like a major financial crisis, war, or epidemic, we may not be able to recover to our previous trend. This probably also applies to the effects of technology on employment, as discussed below. In the absence of major shocks coming from outside the system, we’ll see a long, slow slide in employment and possibly a long, slow rise in energy and food prices, with so much noise in the signal that it will be easy for the naysayers to hold sway for long periods of time. But when those major events happen, we may see sudden, painful changes that we have no obvious way of mitigating quickly.

Technological Change: Artificial Intelligence, Robots, Automation, and Employment. After decades of slow but steady progress, these technologies are really coming into their own. Robots are being used to keep miners in line and to drive cars, for example. Manufacturing has become a high-tech industry. As computers and machines get better at performing more and more skilled jobs (book-keeping is one example), there is gradually less demand for the medium-skilled workers who used to do those jobs. High-skilled workers like computer programmers are doing very well, although I presume the automation will gradually creep higher and higher up the chain, so today’s safer jobs will be less safe tomorrow. At the same time these medium-skilled workers in developed countries are getting squeezed out, developing countries are not benefiting like they used to from their large pools of low-skilled workers as manufacturing becomes more and more automated, and can be done cost-effectively closer to consumers in richer countries.

Will our society recognize and solve this employment problem? American corporate society, and its admirers around the world, are unlikely to. Something very similar to this happened with agricultural automation in the early- to mid-20th century, and with globalization in the mid- to late-20th century. As agriculture became more automated, many displaced workers moved from rural areas in the U.S. southeast to urban areas in the U.S. northeast, looking for factory work. Unfortunately, the factory jobs that existed previously were being moved to developing countries with abundant low-wage labor. The pockets of poverty, unemployment, and social problems created by these forces have not been adequately addressed to this day. To the individual worker, it doesn’t much matter whether your job is being taken by a local robot or an overseas human. Unemployment created by technological forces today could resemble what was created by globalization yesterday, only on a much larger scale. We can only hope that the larger scale will drive real political solutions, such as better education and training, sharing of available work, and more widespread ownership of the labor-saving technology.

Of course, one of the earliest and probably the most shameful example of a modern capitalist system generating wealth for an elite few at the expense of workers is the American slavery system of the 18th and 19th centuries. We just can’t trust amoral, self-interested private enterprise to maximize welfare in the absence of a strong moral compass coming from the larger society. Let’s stop pretending otherwise.

Another example of extreme corporate immorality: Public apathy over climate change in the U.S. may have been manufactured by a cynical, immoral corporate disinformation campaign over climate change taken right out of the tobacco companies’ playbook.

The Gospel of Shareholder Value. There is an important debate over whether people who run corporations have any ethical responsibility to anything other than profit seeking. Well duh, everyone on Earth has an ethical responsibility. Case closed, as far as I’m concerned. There is even evidence that the ideology of profit maximization is a drag on innovation. Except billions of people out there who have worshiped at business schools would disagree with me. And I don’t want to offend anyone’s religion. Noam Chomsky had a quote that I particularly loved, so I am going to repeat it here:

In market systems, you don’t take account of what economists call externalities. So say you sell me a car. In a market system, we’re supposed to look after our own interests, so I make the best deal I can for me; you make the best deal you can for you. We do not take into account the effect on him. That’s not part of a market transaction. Well, there is an effect on him: there’s another car on the road; there’s a greater possibility of accidents; there’s more pollution; there’s more traffic jams. For him individually, it might be a slight increase, but this is extended over the whole population. Now, when you get to other kinds of transactions, the externalities get much larger. So take the financial crisis. One of the reasons for it is that — there are several, but one is — say if Goldman Sachs makes a risky transaction, they — if they’re paying attention — cover their own potential losses. They do not take into account what’s called systemic risk, that is, the possibility that the whole system will crash if one of their risky transactions goes bad. That just about happened with AIG, the huge insurance company. They were involved in risky transactions which they couldn’t cover. The whole system was really going to collapse, but of course state power intervened to rescue them. The task of the state is to rescue the rich and the powerful and to protect them, and if that violates market principles, okay, we don’t care about market principles. The market principles are essentially for the poor. But systemic risk is an externality that’s not considered, which would take down the system repeatedly, if you didn’t have state power intervening. Well there’s another one, that’s even bigger — that’s destruction of the environment. Destruction of the environment is an externality: in market interactions, you don’t pay attention to it. So take tar sands. If you’re a major energy corporation and you can make profit out of exploiting tar sands, you simply do not take into account the fact that your grandchildren may not have a possibility of survival — that’s an externality. And in the moral calculus of capitalism, greater profits in the next quarter outweigh the fate of your grandchildren — and of course it’s not your grandchildren, but everyone’s.

Our Ecological Footprint. WWF issued an updated Living Planet Report in 2014 suggesting that our annual consumption of natural resources (including the obvious ones like energy and water extraction, straightforward ones like the ability to grow food, but also the less obvious ones like ability of the oceans and atmosphere to absorb our waste products) is continuing to exceed what the Earth can handle each year by at least 50%. We’re like spoiled trust fund babies – we have such incredible resources at our disposable, we never learn to live within our means and one day the resources run out, even if that takes a long time. As we recover from the financial crisis, we have a chance to do things differently, but the connections are not being made to the right kinds of investments in infrastructure, skills, and protection of natural capital that would set the stage for long-term sustainable growth in the future.

Other Big Stories from 2014:

  • World War I. 100 years ago, World War I was in full swing. Remember The Guns of August? Well, that was August 1914 they were talking about. Let’s hope we’re not about to blunder into another conflict. But (and I’m cheating a little here because I read this in 2015), the World Economic Forum named “interstate conflict” as both high probability and high consequence in its global risk report.
  • Ebola. Obviously, Ebola was a very bad thing that happened to a whole lot of people. To those of us lucky enough that we weren’t directly in its path, it is a chance to selfishly reflect whether Ebola or something even worse could be coming down the pike. Let’s hope not.
  • Severe Drought and Water Depletion in the Western U.S.: California has been in the midst of a historic drought, although they got some rain recently. Some are describing this as the new normal. Besides rainfall, glaciers, snowpack, and groundwater all seem to be disappearing in some important food-growing areas.
  • Solar grid parity is here! At least some places, some times…

Conclusion. Yes, I think we are on a path to collapse if nothing changes. And I don’t see things changing enough, or fast enough. There are glimmers of hope though. Lest you think I offer only negatives and no solutions, here are two solutions I harp on constantly throughout the blog:

  • Green infrastructure. This is how we fix the hydrologic cycle, close the loop on nutrients, begin to cleanse the atmosphere, protect wild creatures and genetic diversity, and create a society of people with some sense of connection to and stewardship over nature. Don’t act like it’s such a big mystery. It’s known technology. There has been plenty written about trees, design of wildlife corridors and connectivity, for examples. There is simply no excuse for cities to do such a crappy job with these things.
  • Muscle-Powered Transportation. Cars are clearly the root of all evil, the spawn of Mordor, as I pointed out several times (sorry, I just sat through 6+ hours of Hobbit movies). Unless you are perhaps that rare hobbit who can own a car without your morals being completed corrupted by its evil powers. But for the rest of us, I explained several times why getting rid of cars would be good. Here is just one example:

One of the most important things we can do to build a sustainable, resilient society is to design communities where most people can make most of their daily trips under their own power – on foot or by bicycle. It eliminates a huge amount of carbon emissions. It opens up enormous quantities of land to new possibilities other than roads and parking, which right now take up half or more of the land in urban areas. It reduces air pollution and increases physical activity, two things that are taking years off our lives. It eliminates crashes between vehicles, and crashes between vehicles and human bodies, which are serial killers of one million people worldwide every year, especially serial killers of children. It eliminates enormous amounts of dead, wasted time, because commuting is now a physically and mentally beneficial use of time. There is also a subtle effect, I believe, of creating more social interaction and trust and empathy between people just because they come into more contact, and creating a more vibrant, creative and innovative economy that might have a shot at solving our civilization’s more pressing problems.

Google: self-driving taxis 2-5 years out

Is widespread commercialization of self-driving cars decades out? No, 2-5 years according to Google!

Google has made no secret of its ambitions to revolutionize transportation with autonomous vehicles. Chief Executive Officer Larry Page is said to be personally fascinated by the challenge of making cities operate more efficiently. The company recently said the driverless car technology in development within its Google X research lab is from two to five years from being ready for widespread use. At the Detroit auto show last month, Chris Urmson, the Google executive in charge of the project, articulated one possible scenario in which autonomous vehicles are patrolling neighborhoods to pick up and drop off passengers. “We’re thinking a lot about how in the long-term, this might become useful in people’s lives, and there are a lot of ways we can imagine this going,” Urmson said in a conference call with reporters on Jan. 14. “One is in the direction of the shared vehicle. The technology would be such that you can call up the vehicle and tell it where to go and then have it take you there…”

Travis Kalanick, Uber’s CEO, has publicly discussed what he sees as the inevitability of autonomous taxis, saying they could offer cheaper rides and a true alternative to vehicle ownership. “The Uber experience is expensive because it’s not just the car but the other dude in the car,” he said at a technology conference in 2014, referring to the expense of paying human drivers. “When there’s no other dude in the car, the cost [of taking an Uber] gets cheaper than owning a vehicle.”

One group of players you never hear mentioned in these articles…the Detroit car companies. Remember, they would have gone extinct in the 2007-8 financial crisis if the government hadn’t bailed them out. Are they completely missing out on the autonomous vehicle and ride-sharing trends now, instead picturing the millennials and their children living in the exurbs with two cars in every garage? If so, they may be headed for short-term extinction. I’m also waiting to hear more about autonomous trucks and buses – they have to be coming.

“robot scientist”

This article is about a robot that can somehow develop its own experiments to test new drugs.

There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist ‘Eve’ designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening. For further efficiency Eve uses a standardized form of assay to compute Boolean functions of compound properties. These assays can be quickly and cheaply engineered using synthetic biology, enabling more targets to be assayed for a given budget. Eve has repositioned several drugs against specific targets in parasites that cause tropical diseases. One validated discovery is that the anti-cancer compound TNP-470 is a potent inhibitor of dihydrofolate reductase from the malaria-causing parasite Plasmodium vivax.

Robert Reich on the sharing economy

Robert Reich is not a big fan of the sharing economy.

The euphemism is the “share” economy. A more accurate term would be the “share-the-scraps” economy.

New software technologies are allowing almost any job to be divided up into discrete tasks that can be parceled out to workers when they’re needed, with pay determined by demand for that particular job at that particular moment.

Customers and workers are matched online. Workers are rated on quality and reliability.

The big money goes to the corporations that own the software. The scraps go to the on-demand workers.

His solution is unionization and collective bargaining. I am not against those things – in the short term, how you divide up earnings between owners and workers is a zero-sum question. In the longer term though, you want to grow those earnings at the same time you are dividing them up in some fair way. Unionization might resist the underlying economic and technological forces for a time, but it can’t change them. Remember the “ownership society”? If we aren’t going to give workers real equal bargaining power compared to their corporate employers, a possible alternative is broader ownership of those corporations. We could use inheritance and gift taxes to give every baby an IRA with $10,000 in stock the day they are born, just to throw out a random idea. That would grow, and then later in life, people could choose to either invest that money in education and skills for the jobs that do exist, or they could just choose to work fewer hours than earlier generations did.

technologies to watch

What are the big technologies to watch going forward? Everybody has an opinion, so here are just a few.

Dominic Barton, global managing director of McKinsey & Company:

Fortunately, today’s private-sector labs are bursting with innovations that could spark major productivity-enhancing technological and operational improvements. Advanced materials like nanolaminates (edible lipids) can, when sprayed on food, provide protection from air or moisture and reduce spoilage. Carbon-fiber composites are making cars and airplanes both more resistant and lighter, reducing their fuel consumption. And the “Internet of things” will rationalize production processes by detecting potential failures early, boost crop yields by measuring the moisture of fields, and dramatically reduce the cost of remotely monitoring patients’ health.

Just a little further out on the productivity frontier are commercially viable self-driving cars and trucks. Likewise, synthetic biology will be possible before too long, with scientists using the huge amount of increasingly available and inexpensive genetic data to design DNA from scratch – a practice that has applications in medicine, agriculture, and even biofuel production.

Wait a second… “nanolaminates (edible lipids) can, when sprayed on food, provide protection from air or moisture and reduce spoilage”…where have we heard something like this before?

Susan Hockfield, President Emerita and Professor of Neuroscience at the Massachusetts Institute of Technology:

An accelerating convergence of the biological, physical, and engineering sciences promises a stunning array of new technological solutions. Imagine a coal-fueled power plant that emits only water and clean air. Inside the plant, designer yeast cells transform the carbon dioxide released during the coal’s combustion into raw materials for floor tiles and other construction supplies.

Or imagine a simple and inexpensive urine test that can diagnose cancer, eliminating the need for a surgical biopsy. And, when cancer treatment is needed, its toxic punch hits cancer cells selectively, with far fewer damaging side effects.

Or imagine a future with plentiful food and fuel crops. Through improved seed stocks and more efficient water management, we can have crops that require less water, grow at higher density, and thrive in wider temperature ranges. And data-driven agriculture supply chains will move them more effectively to the market. These advances will enable us to feed and provide power – at a lower economic and environmental cost – to the anticipated 2050 population of nine billion people.

Guy Ryder, Director-General of the International Labor Organization:

In the midst of a major employment crisis, technology continues to reduce the labor needed for mass production, while the automation of routine legal and accounting tasks is hollowing out that sector of the job market as well. The science of robotics is revolutionizing manufacturing; every year, an additional 200,000 industrial robots come into use. In 2015, the total is expected to reach 1.5 million. Adapting the labor market to a world of increasingly automated workplaces will be one of the defining challenges of our era.

Finally, the World Economic Forum’s Global Risks report 2015:

The pace of technological change is faster than ever. Disciplines such as synthetic biology and artificial intelligence are creating new fundamental capabilities, which offer tremendous potential for solving the world’s most pressing problems. At the same time, they present hard-to-foresee risks. Oversight mechanisms need to more effectively balance likely benefits and commercial demands with a deeper consideration of ethical questions and medium to long-term risks – ranging from economic to environmental and societal.

robot library of the future

This is an interesting article by Philadelphia Inquirer critic Inga Saffron about the new library at Temple University, which is going to use robots to retrieve books. This allows the books to be stored in a very small space, and the rest of the building to be used for technology, meeting rooms, collaborative work spaces, and social spaces. This is based on warehouse technology used by Amazon and others, and has already been implemented at the North Carolina State University library.

Joe Lucia, Temple’s dean of libraries, believes these buildings are the most inclusive spaces at a university and serve as an “academic Switzerland.” An engineering student may never wander into the humanities building, he explained, but all students need to consult a library’s holdings. The library’s location on the new central quad will cement its place as Temple’s community center. Besides the glass reading room, the building will be packed with study rooms, seminar rooms, digital work spaces, as well as a ground floor café-and-study area that will be open 24 hours.

The wealth of work spaces is made possible by the automated book-retrieval system. The new library will be about 200,000 square feet, roughly the same as the existing Paley Library, built in 1966 by Nolen-Swinburne. (It will probably be retrofitted for classrooms.) But because the automated system allows the new library to store books in tightly packed trays, storage will take up just 10,000 square feet. The ratio is almost the reverse at Paley, which has open stacks. Because the books will be protected in their own concrete room, the new library can have many more windows. It is sad that the one place where windows are scarce is on the side facing Liacouras walk. Long blank walls could be off-putting on such a pedestrian stretch, and Temple officials say they are exploring some design changes.

One of the good things about the automatic book-retrieving system is that it’s already been tested at Snohetta projects such as the Hunt Library at North Carolina State University in Raleigh. The system delivers the books within five minutes, and it’s become such an attraction that students are known to take selfies with the robot.

This also makes me think about the future of urban retail. Who will need big box stores with shelves packed full of duplicate items? Instead you can have showrooms with just one of each item, or even holograms, for people who want an up-close look at an item they have already seen on the internet at home. The actual items to be purchased can be stored very compactly in the back, basement, or second floor of the store, and retrieved in minutes by a robot. For that matter, why would you want to carry a bulky item home if it can be delivered to your door within a few hours. In that case, it doesn’t matter if the warehouse is down the street, on the edge of town, or out by the airport or rail station or factory that actually makes the items. Each retailer doesn’t need to operate its own warehouse and delivery system. If 3D-printing technology really comes into its own, this system would get even more interesting.

robots learning to use tools

This article from KurzweilAI is about robots learning to use tools by watching videos on the internet.

This paper presents a system that learns manipulation
action plans by processing unconstrained videos from
the World Wide Web. Its goal is to robustly generate the sequence
of atomic actions of seen longer actions in video in
order to acquire knowledge for robots. The lower level of the
system consists of two convolutional neural network (CNN)
based recognition modules, one for classifying the hand grasp
type and the other for object recognition. The higher level
is a probabilistic manipulation action grammar based parsing
module that aims at generating visual sentences for robot
manipulation. Experiments conducted on a publicly available
unconstrained video dataset show that the system is able
to learn manipulation actions by “watching” unconstrained
videos with high accuracy

Robots, pay attention – I just Googled videos on “how to clean a bathroom” and got over 33 million results, so get to work!

robot-assisted surgery

Robot-assisted surgery is here, and this BBC video has some real footage of it. Warning, it’s a little graphic. It looks like the surgeon operating the robot is in the same room, and I assume he could jump in with an old-fashioned scalpel if he needed to. But in the future, I suppose there is no reason why surgery couldn’t be done by a surgeon far away, or even without direct human assistance at all.

December 2014 in Review

At the end of November, my Hope for the Future Index stood at -2.  I’ll give December posts a score from -3 to +3 based on how negative or positive they are.

Negative trends and predictions (-12):

  • When you consider roads, streets, and parking, cars take up more space in cities than housing. (-2)
  • The latest on productivity and economic growth: Paul Krugman says there is risk of deflationary spirals in many countries, and the U.S. economy is nothing to right home about. (-1)
  • There are a few legitimate scientists out there warning of sudden, catastrophic climate change in the near future. (-1)
  • Automation (meaning robots and AI) is estimated to threaten 47% of all U.S. jobs. One area of active research into automation: weaponry. Only one negative point because there are also some positive implications. (-1)
  • Margaret Atwood’s Year of the Flood is a depressing but entertaining reminder that bio-apocalypse is possible. (-2)
  • Before the recent rains, the drought in California was estimated to be a once-in-1200-years event. Major droughts in major food growing regions are not good news, especially with depletion of groundwater, and loss of snowpack and glaciers also in the news. (-2)
  • William Lazonick argues provides evidence that the rise in the gospel of shareholder value correlated with the growth slowdown that started in the 1970s – his explanation is that before that, retained earnings were a cornerstone of R&D and innovation in the economy. Loss of a point because it’s good to hear a dissenting voice, but the economy is still run by disciples of the profits for now. (-1)
  • Elizabeth Warren and Bernie Sanders are warning that the U.S. financial system may still be dangerously unstable. (-2)

Positive trends and predictions (+6):

  • There are some new ideas out there for teaching computer programming, even to young children: Loco Robo, Scratch, and for-profit “programming boot camps”. (+1)
  • You can now get genetically customized probiotics for your vagina. (+1)
  • There are plenty of ideas and models out there for safe, walkable streets, some as simple as narrower lanes. But as I point out, the Dutch and Danish designs are pretty much perfect and should just be adopted everywhere. (+1)
  • I linked to a new video depicting Michael Graves’s idea for “linear cities“. These could be very sustainable ecological if they meant the rest of the landscape is left in a mostly natural condition. I am not as sure about social sustainability – done wrong, they could be like living in a mall or subway station. This was one of my all-time more popular posts. (+1)
  • There are new algorithms out there for aggregating and synthesizing large amounts of scientific literature. Maybe this can increase the returns to R&D and help boost innovation. (+1)
  • There will be several international conferences in 2015 with potential to make real progress on financial stability and sustainability. The phrase “deep decarbonization” has been uttered. (+1)
  • Some evidence suggests that the oceans have absorbed a lot of global warming over the past decade or so, preventing the more extreme range of land surface warming that had been predicted. This is a good short- to medium-term trend, but it may not continue in the long term. (+0)

change during December 2014: -12 + 6 = -6

Hope for the Future Index (end of December 2014): -2 -6 = -8

more on automated data synthesis

Here’s another article from Environmental Modeling and Software about automated synthesis of scattered research results:

We describe software to facilitate systematic reviews in environmental science. Eco Evidence allows reviewers to draw strong conclusions from a collection of individually-weak studies. It consists of two components. An online database stores and shares the atomized findings of previously-published research. A desktop analysis tool synthesizes this evidence to test cause–effect hypotheses. The software produces a standardized report, maximizing transparency and repeatability. We illustrate evidence extraction and synthesis. Environmental research is hampered by the complexity of natural environments, and difficulty with performing experiments in such systems. Under these constraints, systematic syntheses of the rapidly-expanding literature can advance ecological understanding, inform environmental management, and identify knowledge gaps and priorities for future research. Eco Evidence, and in particular its online re-usable bank of evidence, reduces the workload involved in systematic reviews. This is the first systematic review software for environmental science, and opens the way for increased uptake of this powerful approach.