Tag Archives: artificial intelligence

Elon Musk vs. The Terminator

The Terminator is baaaaaack.

In related news, Elon Musk is worried about this actually happening:

The Boston-based Future of Life Institute (FLI) today announced the selection of 37 research teams around the world to which it plans to award about $7 million from Elon Musk and the Open Philanthropy Project as part of a first-of-its-kind grant program dedicated to “keeping AI robust and beneficial”. The program launches as an increasing number of high-profile figures including Bill Gates, Elon Musk and Stephen Hawking voice concerns about the possibility of powerful AI systems having unintended, or even potentially disastrous, consequences. The winning teams, chosen from nearly 300 applicants worldwide, will research a host of questions in computer science, law, policy, economics, and other fields relevant to coming advances in AI.

June 2015 in Review

Negative stories:

Positive stories:

robots

Here’s a robot learning some tasks on its own. It’s interesting that my two year old human child is roughly around this same stage – he has thoroughly mastered a couple of these tasks, like putting a ring on a stick or a peg in a hole. He is still getting the hang of others, like sticking together legos and screwing on a lid. He has other skills though that I doubt the robot has, like making fart jokes and flirting with pretty girls (which sometimes go together at this age).

February 2015 in Review

This blog got 173 hits in February! Pretty cool, considering I really just meant it as a place to collect my own scattered thoughts and refer back to them later. If 173 out of the 6 billion people out there like it, I am flattered. Okay, I understand there may have been a few repeat visitors. Also, judging from the most popular posts, there is one thing I mention occasionally that people really like: robots!

Negative trends and predictions:

  • Fresh Air had an interview with Elizabeth Kolbert, author of The Sixth Extinction. The idea here is that what humans are doing to other species is equivalent in scope to events that have killed off most life on Earth in the past.
  • The drought in the western U.S. continues to grind on.
  • 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!
  • Government fragmentation explains at least part of suburban sprawl and urban decline in U.S. states, with Pennsylvania among the worst.

Positive trends and predictions:

  • Libraries are starting to go high-tech using warehouse robot technology.
  • I had a rambling post on technologies to watch: carbon fiber, the internet of things, self-driving cars and trucks, biotechnology for everything from carbon sequestration to cancer treatment to agriculture, and of course more automation, robots, and artificial intelligence. And yes, Clark W. Griswold’s cereal varnish is a real thing!
  • U.S. utility solar capacity is slowly ramping up.
  • A new study suggests a sudden, catastrophic climate tipping point may not be too likely.
  • Robots can independently develop new drugs.
  • According to Google, self-driving taxis are only 2-5 years away.
  • Complex ecosystems can be designed.
  • Compost toilets may save the world…if we can get over the ick factor and the sawdust problem.
  • There are lots of cheap new options for the aspiring high-tech handymen (and women and children) among us. Even better news, we may have reached the point where if you build a robot with your kid in the basement, and he then tells other kids about it, he might not get beat up on the playground.
  • New York City has some good examples of green stormwater infrastructure integrated in sidewalk and street design.

One thing that strikes me is that we keep hearing about biotechnology, but we haven’t seen big, obvious impacts in most of our daily lives yet. I suspect biotechnology is like computers and robots in the 70s, 80s, and 90s – slow but steady progress was being made in the background, the pressure was building, and then the wave suddenly broke onto the commercial and public consciousness. I suspect biotechnology is the next big wave that is going to break.

algorithms

Algorithms don’t sound like a topic for riveting reading, but these two articles are pretty good.

The first is from a marketing magazine, Adbusters. The claim it makes – that markets have never really worked before, but are starting to work now because of computer algorithms – is  bit of a stretch, but entertaining. Here’s a quote:

The critical flaw in Hayek’s vision of the hand was that a “central body” could never gather enough information. We know this to be untrue, and with big data and the analysis and manipulation of that data through algorithmic equation, the missing link between money and the machine was discovered.

The searches we make, the news we read, the dates we go on, the advertisements we see, the products we buy and the music we listen to. The stock market … All informed by this marriage between mathematics and capital, all working together in perfect harmony to achieve a singular goal — equilibrium. But it’s a curious sort of equilibrium. Less to do with the relationship between supply and demand, and more about the man and the market.

All these algorithms we encounter throughout the day, they’re working toward a greater goal: solving problems and learning how to think. Like the advent and rise of high–frequency trading, they’re part of an optimization trend that leads to a strange brand of perfection: automated profit.

The second, from ESPN, is about how numbers are being crunched by big-time professional sports gamblers:

Eventually, he grew to understand one of Walters’ keys to success: Some of his bets were intentional losers, designed to manipulate the bookmakers’ odds. Walters might bet $50,000 on a team giving 3 points, then $75,000 more on the same team when the line reaches 3.5. The moment the line gets to 4, a runner is instructed to immediately place a larger bet — perhaps $250,000 — on the other team. The $125,000 on the initial lines will be lost, but if things go according to plan, the $250,000 on the other side will win enough to make up for it many times over. Walters uses the same method on multiple games, often risking millions each weekend.

Since the days of the Computer Group, analytically inclined professional gamblers have relied on technology as well as research to produce what is called a delta: the difference between the Vegas line and what the bettors conclude the point spread should be. The greater the delta, the more money a gambler like Walters will bet. There’s nothing illegal about manipulating lines, and many prominent gamblers have the ability to move a line with as little as $1,000. Walters’ strategy is simply more sophisticated and uses more people, better information and, of course, more dollars bet in far more places than anyone else’s, insiders say…

The vast Walters network also includes a guy on the East Coast known as The Reader, who scans local newspapers, websites, blogs and Twitter for revealing tidbits or injury updates. That information is weighed and plugged into the computer alongside other statistical data — from field conditions to intricate breakdowns of officiating crews. Armed with algorithms and probability theories, the objective is to find the mispriced team, then hammer the line to where Walters wants it.

 

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.

“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.

my vacation reading list

Here’s my vacation reading list, just in case anyone is interested:

The Fear Index (about a hedge fund running an automated trading algorithm – way more fun to read than it sounds)

Count Zero (the sequel to William Gibson’s Neuromancer – great dystopian technology and artificial intelligence fiction although similar to Neuromancer, he uses a lot of made-up slang, weird sentence structure, and multiple points of view that keep me from getting really absorbed in the book)

Monster Hunter International (what it sounds like – pure escape fiction, basically an updated Ghostbusters with a Walking Dead-like gun fetish, violent but lighthearted)

MaddAdam (the third and final book in Margaret Attwood’s Oryx and Crake series)

The original I Am Legend (because why not, I seem to be on a monster kick – if I don’t get to this one, I may save it for around Halloween)