Tag Archives: artificial intelligence

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!

November 2015 in Review

What did I learn in November? Let’s start with the bad and then go to the good.

Negative stories (-10):

  • The World Economic Forum’s 2015 Global Risks Report came out. Some of the top risks are interstate conflict, water crisis, failure of climate change adaptation, unemployment and underemployment. Hmm, that “interstate conflict” items might be what we used to call “war”. And I think there might be one underway right now in the Middle East, which Jimmy Carter says we are getting all wrong. And it just might be caused by the other items on the list. And speaking of war, there is a new book on the Vietnam War aimed at the middle grades, but it seems pretty harsh for that age to me. (-2)
  • 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. (-3)
  • This crop of presidential candidates is easy for comedians to make fun of. I enjoy it but think it may be a contrary indicator for the health of the country. (-1)
  • Bicycle helmets are not making U.S. bicycle riders any safer. This is why we need streets designed on the European model to be safe for driving, bicycling, and walking. It’s 100% known technology and there can be no excuses! (-2)
  • In current events, we had the awful, shocking terrorist attacks in Paris. I suggested that the long-term answer to violence caused by angry young men anywhere is to understand why they are angry, address their legitimate grievances, and give them productive work to do. Short term, we also have to detect and disrupt any plots involving nuclear or biological weapons, of course, because we can’t afford even one. (-2)

Positive stories (+9):

how do you value data?

This article lists six ways a company or organization can try to value its data:

  1. Intrinsic value of information. The model quantifies data quality by breaking it into characteristics such as accuracy, accessibility and completeness.
  2. Business value of information. This model measures data characteristics in relation to one or more business processes. Accuracy and completeness, for example, are evaluated, as is timeliness…
  3. Performance value of information…measures the data’s impact on one or more key performance indicators (KPIs) over time
  4. Cost value of information. This model measures the cost of “acquiring or replacing lost information.”
  5. Economic value of information. This model measures how an information asset contributes to the revenue of an organization.
  6. Market value of information. This model measures revenue generated by“selling, renting or bartering” corporate data

Another article says that algorithms are becoming less valuable as data becomes more valuable.

Google is not risking much by putting its algorithms out there.

That’s because the real secret sauce that differentiates Google from everybody else in the world isn’t the algorithms—it’s the data, and in particular, the training data needed to get the algorithms performing at a high level.

“A company’s intellectual property and its competitive advantages are moving from their proprietary technology and algorithms to their proprietary data,” Biewald says. “As data becomes a more and more critical asset and algorithms less and less important, expect lots of companies to open source more and more of their algorithms.”

 

The internet is telling you what you want to hear

That’s right, the internet is telling you what you want to hear. In some cases, it really is government and corporate propaganda, known as “astroturfing“. This is the practice of creating a fake media buzz to give you the impression that there is grassroots support for something when there really isn’t:

Astroturfing is the attempt to create an impression of widespread grassroots support for a policy, individual, or product, where little such support exists. Multiple online identities and fake pressure groups are used to mislead the public into believing that the position of the astroturfer is the commonly held view.

Although usually associated with the internet, the practice has been widespread ever since newspaper editors first invented the letters page. Pick up any local paper around the time of an election and you will find multiple letters from “concerned residents of X” objecting to the disastrous policies of Y…

As reported by the Guardian, some big companies now use sophisticated “persona management software” to create armies of virtual astroturfers, complete with fake IP addresses, non-political interests and online histories. Authentic-looking profiles are generated automatically and developed for months or years before being brought into use for a political or corporate campaign. As the software improves, these astroturf armies will become increasingly difficult to spot, and the future of open debate online could become increasingly perilous.

The other thing going on is the “online filter bubble”, which is simply the idea that search and marketing algorithms are increasingly telling you what you want to hear. This makes sense in the logic of marketing, but is dangerous when you are trying to figure out what is going on in the world. From TED:

 

 

 

Watson vs. Shalmaneser

A class at Georgia Tech did an experiment where artificial intelligence (“Watson”) was used to “enhance human creativity”. It sounds like a cool class:

Following research on computational creativity in our Design & Intelligence Laboratory (http://dilab.gatech.edu), most readings and discussions in the class focused on six themes: (1) Design Thinking is thinking about illstructured, open-ended problems with ill-defined goals and evaluation criteria; (2) Analogical Thinking is thinking about novel situations in terms of similar, familiar situations; (3) Meta-Thinking is thinking about one’s own knowledge and thinking; (4) Abductive Thinking is thinking about potential explanations for a set of data; (5) Visual Thinking is thinking about images and in images; and (6) Systems Thinking is thinking about complex phenomena consisting of multiple interacting components and causal processes. Further, following the research in the Design & Intelligence Laboratory, the two major creative domains of discussion in the class were (i) Engineering design and invention, and (ii) Scientific modeling and discovery. The class website provides details about the course (http://www.cc.gatech.edu/classes/AY2015/cs8803_spring)

Here’s how they actually went about using the computer:

The general design process followed by the 6 design teams for using Watson to support biologically inspired design may be decomposed into two phases: an initial learning phase and a latter open-ended research phase. The initial learning phase proceeded roughly as follows. (1) The 6 teams selected a case study of biologically inspired design of their choice from a digital library called DSL (Goel et al. 2015). For each team, the selected case study became the use case. (2) The teams started seeding Watson with articles selected from a collection of around 200 biology articles derived from Biologue. Biologue is an interactive system for retrieving biology articles relevant to a design query (Vattam & Goel 2013). (3) The teams generated about 600 questions relevant to their use cases. (4) The teams identified the best answers in their 200 biology articles for the 600 questions. (5) The teams trained Watson on the 600 question-answer pairs. (6) The 6 teams evaluated Watson for answering design questions related to their respective use cases.

The value of the computer seems to be in helping the humans sort through and screen and enormous amount of literature in a short time that otherwise could take years to go through. This theoretically could accelerate progress by allowing us to make connections that otherwise could not be made. There are going to be some brilliant ideas out there that are stuck in a dead end where they never got to the people who can use them. And there are going to be many more brilliant ideas that emerge only when older ideas are connected.

These students seem to have restricted themselves to a research database in one field (biology). But I think it could be very valuable to cross disciplinary boundaries and look for analogous ideas – let’s say, in thermodynamics, ecology, and economics. Or sociology and animal behavior. These are boundaries that have been crossed by just a few visionary people, but are often ignored by everyone else. If making connections was more of a standard practice, many more brilliant ideas would escape the information cul-de-sacs.

This reminded me of the novel Stand on Zanzibar, where “synthesist” is a job. The world is not doing so well, and governments are seeking out unconventional thinkers to try to synthesize knowledge across multiple fields and try to come up with new problems. There is also an artificial intelligence in the book as I recall, but I don’t remember it being involved in the synthesis. I don’t have a copy of the book, and this particular piece of human knowledge and creativity is walled off from me by “intellectual property” law, so I can’t benefit from it or connect it to anything else right now.

work sharing

Work sharing – it’s an idea to look into before the robots take over most of the work.

Work-sharing for a sustainable economy

Achieving low unemployment in an environment of weak growth is a major policy challenge; a more egalitarian distribution of hours worked could be the key to solving it. Whether work-sharing actually increases employment, however, has been debated controversially. In this article we present stylized facts on the distribution of hours worked and discuss the role of work-sharing for a sustainable economy. Building on recent developments in labor market theory we review the determinants of working long hours and its effect on well-being. Finally, we survey work-sharing reforms in the past. While there seems to be a consensus that work-sharing in the Great Depression in the U.S. and in the Great Recession in Europe was successful in reducing employment losses, perceptions of the work-sharing reforms implemented between the 1980s and early 2000s are more ambivalent. However, even the most critical evaluations of these reforms provide no credible evidence of negative employment effects; instead, the overall success of the policy seems to depend on the economic and institutional setting, as well as the specific details of its implementation.

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.

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.