Jaron Lanier on why you should delete your social media accounts.

I have read through Jared Lanier's "Ten Arguments for Deleting Your Social Media Accounts Right Now." His critiques are important and compelling, and I want to pass on just a few clips of text that give you gist of his arguments:

ARGUMENT ONE: YOU ARE LOSING YOUR FREE WILL

We’re being tracked and measured constantly, and receiving engineered feedback all the time. We’re being hypnotized little by little by technicians we can’t see, for purposes we don’t know. We’re all lab animals now...Now everyone who is on social media is getting individualized, continuously adjusted stimuli, without a break, so long as they use their smartphones. What might once have been called advertising must now be understood as continuous behavior modification on a titanic scale...This book argues in ten ways that what has become suddenly normal— pervasive surveillance and constant, subtle manipulation— is unethical, cruel, dangerous, and inhumane. Dangerous? Oh, yes, because who knows who’s going to use that power, and for what?

The core process that allows social media to make money and that also does the damage to society is behavior modification. Behavior modification entails methodical techniques that change behavioral patterns in animals and people. It can be used to treat addictions, but it can also be used to create them...Using symbols instead of real rewards has become an essential trick in the behavior modification toolbox. For instance, a smartphone game like Candy Crush uses shiny images of candy instead of real candy to become addictive...somewhat random or unpredictable feedback can be more engaging than perfect feedback.

The prime directive to be engaging reinforces itself, and no one even notices that negative emotions are being amplified more than positive ones. Engagement is not meant to serve any particular purpose other than its own enhancement, and yet the result is an unnatural global amplification of the “easy” emotions, which happen to be the negative ones.

Social media is biased, not to the Left or the Right, but downward. The relative ease of using negative emotions for the purposes of addiction and manipulation makes it relatively easier to achieve undignified results. An unfortunate combination of biology and math favors degradation of the human world. Information warfare units sway elections, hate groups recruit, and nihilists get amazing bang for the buck when they try to bring society down.

One of the main reasons to delete your social media accounts is that there isn’t a real choice to move to different social media accounts. Quitting entirely is the only option for change. If you don’t quit, you are not creating the space in which Silicon Valley can act to improve itself...the problem isn’t behavior modification in itself. The problem is relentless, robotic, ultimately meaningless behavior modification in the service of unseen manipulators and uncaring algorithms.

ARGUMENT TWO: QUITTING SOCIAL MEDIA IS THE MOST FINELY TARGETED WAY TO RESIST THE INSANITY OF OUR TIMES

I speak as a computer scientist, not as a social scientist or psychologist. From that perspective, I can see that time is running out. The world is changing rapidly under our command, so doing nothing is not an option. We don’t have as much in the way of rigorous science as would be ideal for understanding our situation, but we have enough results to describe the problem we must solve, just not a lot of time in which to solve it. Seems like a good moment to coin an acronym so I don’t have to repeat, over and over, the same account of the pieces that make up the problem. How about “Behaviors of Users Modified, and Made into an Empire for Rent”? BUMMER.

ARGUMENT EIGHT: SOCIAL MEDIA DOESN’T WANT YOU TO HAVE ECONOMIC DIGNITY

The corp perspective

One problem with the BUMMER model is that it’s like oil for a petrostate. A BUMMER-dependent company can diversify its activities— its cost centers— all it wants, but it can never diversify its profit centers, because it always has to prioritize free services in order to grab more data to run the manipulation services. Consumers are addicted, but so are the BUMMER empires.

BUMMER makes tech companies brittle and weirdly stagnant. Of the big five tech companies, only two depend on the BUMMER model. Apple, Amazon, and Microsoft all indulge in a little BUMMER, but they all do just fine without depending on BUMMER. The non-BUMMER big tech companies have successfully diversified. There are plenty of reasons you might want to criticize and change those three companies, but the amount of BUMMER they foster is not an existential threat to civilization.

The two tech giants that are hooked on BUMMER, Google and Facebook, are way hooked. They make the preponderance of their profits from BUMMER despite massive investments in trying to start up other types of businesses. No matter the scale, a company based on a single trick is vulnerable. Sooner or later some disruption will come along, and then a BUMMER company, no matter how large, will quickly collapse.

So why is it again, that BUMMER is such a great long-term strategy for tech companies? It isn’t. It trades the short term against the long term, just like a petrostate...Instead of trying to shut down BUMMER companies, we should ask them to innovate their business models, for their own good.

The user perspective

It might sound undesirable to someday have to pay for things that are currently free, but remember, you’d also be able to make money from those things. And paying for stuff sometimes really does make the world better for everyone. Techies who advocated a free/ open future used to argue that paying for movies or TV was a terrible thing, and that the culture of the future would be made of volunteerism, with the digital distribution funded by advertising, of course. This was practically a religious belief in Silicon Valley when the big BUMMER companies were founded. It was sacrilege to challenge it.

But then companies like Netflix and HBO convinced people to pay a monthly fee, and the result is what is often called “peak TV.” Why couldn’t there also be an era of paid “peak social media” and “peak search”? ...Watch the end credits on a movie on Netflix or HBO. It’s good discipline for lengthening your attention span! Look at all those names scrolling by. All those people who aren’t stars made their rent by working to bring you that show.

BUMMER only supports stars. If you are one of those rare, rare people who are making a decent living off BUMMER as an influencer, 4 for instance, you have to understand that you are in a tiny club and you are vulnerable. Please make backup plans! I hate raining on dreams, but if you think you are about to make a living as an influencer or similar, the statistics are voraciously against you, no matter how deserving you are and no matter how many get-rich-quick stories you’ve been fed. The problem isn’t that there are only a few stars; that’s always true, by definition. The problem is that BUMMER economics allow for almost no remunerative roles for near-stars. In a genuine, deep economy, there are many roles. You might not become a pro football player, but you might get into management, sports media, or a world of other related professions. But there are vanishingly few economic roles adjacent to a star influencer. Have a backup plan.

When social media companies are paid directly by users instead of by hidden third parties, then they will serve those users. It’s so simple. Someone will be able to pay to see poisonous propaganda, but they won’t be able to pay to have that poison directed at someone else. The incentive for poisoning the world will be undone...I won’t have an account on Facebook, Google, or Twitter until I can pay for it— and I unambiguously own and set the price for using my data, and it’s easy and normal to earn money if my data is valuable. I might have to wait a while, but it’ll be worth it. 

ARGUMENT 10: SOCIAL MEDIA HATES YOUR SOUL.

It’s almost impossible to write about the deepest spiritual or philosophical topics, because people are on such hair triggers about them, but it would be a cop-out to avoid declaring a statement of beliefs regarding the basic questions that BUMMER is trying to dominate… I am conscious. I have faith that you are also conscious. We each experience. It’s a marvel… Acknowledging that experience exists might make us kinder, since we understand people to be more than machines. We might be a little more likely to think before hurting someone if we believe there’s a whole other center of experience cloaked in that person, a whole universe, a soul.

The BUMMER business is interwoven with a new religion that grants empathy to computer programs— calling them AI programs— as a way to avoid noticing that it is degrading the dignity, stature, and rights of real humans … The BUMMER experience is that you’re just one lowly cell in the great superorganism of the BUMMER platform. We talk to our BUMMER-connected gadgets kind of as if they’re people, and the “conversation” works better if we talk in a way that makes us kind of like machines. When you live as if there’s nothing special, no mystical spark inside you, you gradually start to believe it.

The issues that are tearing the United States apart are all about whether people are special, about where the soul might be found, if it is there at all. Is abortion acceptable? Will people become obsolete, so that everyone but a few elite techies will have to be supported by a charitable basic income scheme? Should we treat all humans as being equally worthy, or are some humans more deserving of self-determination because they are good at nerdy tasks? These questions might all look different at first, but on closer inspection they are all versions of the same question: What is a person? Whatever a person might be, if you want to be one, delete your accounts.

(above clips taken from Lanier, Jaron. Ten Arguments for Deleting Your Social Media Accounts Right Now Henry Holt and Co.. Kindle Edition. )

What makes a man attractive?

In many species female mate preference is influenced by signs indicating the health and robustness of the potential male partner. Rehm points to work by Versluys et al. examining the effects of male arm to body and intra-limb ratio on the preferences of heterosexual US women by showing them computer-generated male images that vary average body proportions from 9000 US military men by making arms and legs slightly longer or shorter. Previous research had shown that women prefer men with legs that are about half their height (legs that are too short have been linked to type 2 diabetes). How long the model’s arms were relative to his height didn’t seem to matter; and women cared only a little about how the elbow or knee divided a limb. But as seen in previous work, women noticed if the legs made up more or less than half his height—and they didn’t like it.

Socioeconomic status moderates age-related differences in brain organization throughout adulthood.

Work by Chan et al. (open source article) suggests that higher socioeconomic status (SES) may be a protective factor against age-related brain decline.

Significance

An individual’s socioeconomic status (SES) is a central feature of their environmental surroundings and has been shown to relate to the development and maturation of their brain in childhood. Here, we demonstrate that an individual’s present (adult) SES relates to their brain function and anatomy across a broad range of middle-age adulthood. In middle-aged adults (35–64 years), lower SES individuals exhibit less organized functional brain networks and reduced cortical thickness compared with higher SES individuals. These relationships cannot be fully explained by differences in health, demographics, or cognition. Additionally, childhood SES does not explain the relation between SES and brain network organization. These observations provide support for a powerful relationship between the environment and the brain that is evident in adult middle age.

Abstract

An individual’s environmental surroundings interact with the development and maturation of their brain. An important aspect of an individual’s environment is his or her socioeconomic status (SES), which estimates access to material resources and social prestige. Previous characterizations of the relation between SES and the brain have primarily focused on earlier or later epochs of the lifespan (i.e., childhood, older age). We broaden this work to examine the relationship between SES and the brain across a wide range of human adulthood (20–89 years), including individuals from the less studied middle-age range. SES, defined by education attainment and occupational socioeconomic characteristics, moderates previously reported age-related differences in the brain’s functional network organization and whole-brain cortical structure. Across middle age (35–64 years), lower SES is associated with reduced resting-state system segregation (a measure of effective functional network organization). A similar but less robust relationship exists between SES and age with respect to brain anatomy: Lower SES is associated with reduced cortical gray matter thickness in middle age. Conversely, younger and older adulthood do not exhibit consistent SES-related difference in the brain measures. The SES–brain relationships persist after controlling for measures of physical and mental health, cognitive ability, and participant demographics. Critically, an individual’s childhood SES cannot account for the relationship between their current SES and functional network organization. These findings provide evidence that SES relates to the brain’s functional network organization and anatomy across adult middle age, and that higher SES may be a protective factor against age-related brain decline.

Figure - (click to enlarge) Lower SES adults exhibit reduced segregation of their resting-state functional brain networks and lower mean cortical thickness in middle-age adulthood. For each age group, brain system segregation (A) and mean cortical thickness (B) are plotted for higher and lower SES (stratified using a median split across the entire participant sample; error bars depict standard error of the mean). Higher SES is associated with greater brain system segregation and mean cortical thickness in middle-age groups (ME, 35–49 y; ML, 50–64 y). Primary statistical models were completed using general linear modeling, where SES was modeled continuously.

Move into your virtual body avatar with just your hands and feet

Steph Yin points to work by Kitazaki's group at Toyohashi University of Technology in Japan, who try...

...to figure out the minimal amount of body we need to feel a sense of self, especially in digital environments where more and more people may find themselves for work or play...they show that animating virtual hands and feet alone is enough to make people feel their sense of body drift toward an invisible avatar...Using an Oculus Rift virtual reality headset and a motion sensor, Dr. Kitazaki’s team performed a series of experiments in which volunteers watched disembodied hands and feet move two meters in front of them in a virtual room. In one experiment, when the hands and feet mirrored the participants’ own movements, people reported feeling as if the space between the appendages were their own bodies.

The article abstract:

Body ownership can be modulated through illusory visual-tactile integration or visual-motor synchronicity/contingency. Recently, it has been reported that illusory ownership of an invisible body can be induced by illusory visual-tactile integration from a first-person view. We aimed to test whether a similar illusory ownership of the invisible body could be induced by the active method of visual-motor synchronicity and if the illusory invisible body could be experienced in front of and facing away from the observer. Participants observed left and right white gloves and socks in front of them, at a distance of 2 m, in a virtual room through a head-mounted display. The white gloves and socks were synchronized with the observers’ actions. In the experiments, we tested the effect of synchronization, and compared this to a whole-body avatar, measuring self-localization drift. We observed that visual hands and feet were sufficient to induce illusory body ownership, and this effect was as strong as using a whole-body avatar.

 Here is their video "Your body is transparentized in a virtual environment."

Social contagion of ethnic hostility.

From Bauer et al.:

Significance

We provide experimental evidence on peer effects and show that behavior that harms members of a different ethnic group is twice as contagious as behavior that harms coethnics. The findings may help to explain why ethnic hostilities can spread quickly (even in societies with few visible signs of interethnic hatred) and why many countries have adopted hate crime laws, and illustrate the need to study not only the existence of discrimination, but also the stability of attitudes and behaviors toward outgroup members.

Abstract

Interethnic conflicts often escalate rapidly. Why does the behavior of masses easily change from cooperation to aggression? This paper provides an experimental test of whether ethnic hostility is contagious. Using incentivized tasks, we measured willingness to sacrifice one’s own resources to harm others among adolescents from a region with a history of animosities toward the Roma people, the largest ethnic minority in Europe. To identify the influence of peers, subjects made choices after observing either destructive or peaceful behavior of peers in the same task. We found that susceptibility to follow destructive behavior more than doubled when harm was targeted against Roma rather than against coethnics. When peers were peaceful, subjects did not discriminate. We observed very similar patterns in a norms-elicitation experiment: destructive behavior toward Roma was not generally rated as more socially appropriate than when directed at coethnics, but the ratings were more sensitive to social contexts. The findings may illuminate why ethnic hostilities can spread quickly, even in societies with few visible signs of interethnic hatred.

Placebo treatment facilitates social trust.

Nasal sprays containing oxytocin have been shown to facilitate pro-social behaviors. Xan et al. have now shown that this effect can be obtained using nasal sprays containing only saline, if subjects are told the spray contains oxytocin and are educated on its expected pro-social effects:

Placebo effect refers to beneficial changes induced by the use of inert treatment, such as placebo-induced relief of physical pain and attenuation of negative affect. To date, we know little about whether placebo treatment could facilitate social functioning, a crucial aspect for well-being of a social species. In the present study, we develop and validate a paradigm to induce placebo effects on social trust and approach behavior (social placebo effect), and show robust evidence that placebo treatment promotes trust in others and increases preference for a closer interpersonal distance. We further examine placebo effects in real-life social interaction and show that placebo treatment makes single, but not pair-bonded, males keep closer to an attractive first-met female and perceive less social anxiety in the female. Finally, we show evidence that the effects of placebo treatment on social trust and approach behavior can be as strong as the effect of intranasal administration of oxytocin, a neuropeptide known for its function in facilitating social cognition and behavior. The finding of the social placebo effect extends our understanding of placebo effects on improvement of physical, mental, and social well-being and suggests clinical potentials in the treatment of social dysfunction.

The End of Humanism - Homo Deus

I want to pass on a useful precis of two books by Yuval Harari prepared by my colleague Terry Allard for a meeting of the Chaos and Complexity Seminar at the University of Wisconsin, Madison (where I am an emeritus professor and still maintain an office during my summer months away from Austin TX in Madison WI.) Here is his summary of Harari's "A Brief History of Humankind" and "Homo Deus: A Brief History of Tomorrow."

In these 2 volumes, historian Yuval Harari, reviews the successive transformations of humanity and human civilizations from small bands of hunter-gatherers, through the agrarian and industrial revolutions to today’s scientific revolution while reflecting on what it means to be human. Our collective belief in abstract stories like money, corporations, nations and religions enables human cooperation on a large scale and differentiates us from all other animals. Today’s discussion will focus on a possible transition from the humanist values of individual freedoms and “free will” to a disturbing dystopian future where individualism is devalued and people are managed by artificially intelligent systems. This transition is enabled by reductions in Famine, plague and war that have historically motivated human behavior. Further advances in biotechnology, psychology and computer science could produce a superhuman elite having the resources and opportunity to benefit directly from technological enhancements while leaving the majority of humankind behind.

Allard's suggested discussion questions:

1. Does technology, social stratification and empire enhance the human experience? Are we happier than hunter-gatherers?
2. What is humanism?
3. Are people really just the sum of their biological algorithms?
4. When will we trust artificial intelligence? Is AI the inevitable next evolutionary step?
5. What do we (humans) really want the future to be? What are our transcendent values?

Harari quotes from an interview in The Guardian (19March2017):

Humanity’s biggest myth? “gaining more power over the world, over the environment, we will be able to make ourselves happier and more satisfied with life. Looking again from a perspective of thousands of years, we have gained enormous power over the world and it doesn’t seem to make people significantly more satisfied than in the stone age.”
On Morality: “we are very close to really having divine powers of creation and destruction. The future of the entire ecological system and the future of the whole of life is really now in our hands. And what to do with it is an ethical question and also a scientific question.”
On Inequality: “With the new revolution in artificial intelligence and biotechnology, there is a danger that again all the power and benefits will be monopolised by a very small elite, and most people will end up worse off than before.”
On timing: “I think that Homo sapiens as we know them will probably disappear within a century or so, not destroyed by killer robots or things like that, but changed and upgraded with biotechnology and artificial intelligence into something else, into something different.”

More on the sociopathy of social media

I want to pass on to MindBlog readers some material from Michael Kaplan, who recently pointed me to his YouTube channel OneHandClap, and in particular his video "How Facebook Makes You Depressed." It notes a December 2016 Facebook article published on their official blog, "Hard Questions: Is Spending Time on Social Media Bad for Us?," and summarizes an assortment of recent research that links social media use to depression.  It also explores how social media sites like Facebook make use of addictive neurochemical mechanisms.



If you really want the details on how we are being screwed by the social media, particularly Google and Facebook,  read Jaron Lanier's "Ten Arguments for Deleting Your Social Media Accounts Right Now."  I downloaded the Kindle version several days ago, and am finding it incredibly sobering reading, given that the platform for mindblog.dericbownds.net  is provided by Google (Blogger),  posts like this one are automatically sent on from Blogger to my Facebook and Twitter feeds, my piano performances are on Google's YouTube, my email, my calendar, etc., etc......  A few clips from Lanier:

We’re being tracked and measured constantly, and receiving engineered feedback all the time. We’re being hypnotized little by little by technicians we can’t see, for purposes we don’t know. We’re all lab animals now.

Now everyone who is on social media is getting individualized, continuously adjusted stimuli, without a break, so long as they use their smartphones. What might once have been called advertising must now be understood as continuous behavior modification on a titanic scale.

This book argues in ten ways that what has become suddenly normal— pervasive surveillance and constant, subtle manipulation— is unethical, cruel, dangerous, and inhumane. Dangerous? Oh, yes, because who knows who’s going to use that power, and for what?

The core process that allows social media to make money and that also does the damage to society is behavior modification. Behavior modification entails methodical techniques that change behavioral patterns in animals and people. It can be used to treat addictions, but it can also be used to create them.

(Lanier, Jaron. Ten Arguments for Deleting Your Social Media Accounts Right Now. Henry Holt and Co. Kindle Edition.)

Finally, check out "Hands off my data! 15 default privacy settings you should change right now"

How much should A.I. frighten us?

Continuing the artificial intelligence topic of yesterday's post, I want to pass on the concluding paragraphs of a fascinating New Yorker article by Tad Friend. Friend suggest that thinking about artificial intelligence can help clarify what makes us human 0 for better and for worse. He points to several recent books writing about the presumed inevitability of our developing an artificial general intelligence (A.G.I.) that far exceeds our current human capabilities. His final paragraphs:

The real risk of an A.G.I.... may stem not from malice, or emergent self-consciousness, but simply from autonomy. Intelligence entails control, and an A.G.I. will be the apex cogitator. From this perspective, an A.G.I., however well intentioned, would likely behave in a way as destructive to us as any Bond villain. “Before the prospect of an intelligence explosion, we humans are like small children playing with a bomb,” Bostrom writes in his 2014 book, “Superintelligence,” a closely reasoned, cumulatively terrifying examination of all the ways in which we’re unprepared to make our masters. A recursive, self-improving A.G.I. won’t be smart like Einstein but “smart in the sense that an average human being is smart compared with a beetle or a worm.” How the machines take dominion is just a detail: Bostrom suggests that “at a pre-set time, nanofactories producing nerve gas or target-seeking mosquito-like robots might then burgeon forth simultaneously from every square meter of the globe.” That sounds screenplay-ready—but, ever the killjoy, he notes, “In particular, the AI does not adopt a plan so stupid that even we present-day humans can foresee how it would inevitably fail. This criterion rules out many science fiction scenarios that end in human triumph.”

If we can’t control an A.G.I., can we at least load it with beneficent values and insure that it retains them once it begins to modify itself? Max Tegmark observes that a woke A.G.I. may well find the goal of protecting us “as banal or misguided as we find compulsive reproduction.” He lays out twelve potential “AI Aftermath Scenarios,” including “Libertarian Utopia,” “Zookeeper,” “1984,” and “Self-Destruction.” Even the nominally preferable outcomes seem worse than the status quo. In “Benevolent Dictator,” the A.G.I. “uses quite a subtle and complex definition of human flourishing, and has turned Earth into a highly enriched zoo environment that’s really fun for humans to live in. As a result, most people find their lives highly fulfilling and meaningful.” And more or less indistinguishable from highly immersive video games or a simulation.

Trying to stay optimistic, by his lights—bear in mind that Tegmark is a physicist—he points out that an A.G.I. could explore and comprehend the universe at a level we can’t even imagine. He therefore encourages us to view ourselves as mere packets of information that A.I.s could beam to other galaxies as a colonizing force. “This could be done either rather low-tech by simply transmitting the two gigabytes of information needed to specify a person’s DNA and then incubating a baby to be raised by the AI, or the AI could nanoassemble quarks and electrons into full-grown people who would have all the memories scanned from their originals back on Earth.” Easy peasy. He notes that this colonization scenario should make us highly suspicious of any blueprints an alien species beams at us. It’s less clear why we ought to fear alien blueprints from another galaxy, yet embrace the ones we’re about to bequeath to our descendants (if any).

A.G.I. may be a recurrent evolutionary cul-de-sac that explains Fermi’s paradox: while conditions for intelligent life likely exist on billions of planets in our galaxy alone, we don’t see any. Tegmark concludes that “it appears that we humans are a historical accident, and aren’t the optimal solution to any well-defined physics problem. This suggests that a superintelligent AI with a rigorously defined goal will be able to improve its goal attainment by eliminating us.” Therefore, “to program a friendly AI, we need to capture the meaning of life.” Uh-huh.

In the meantime, we need a Plan B. Bostrom’s starts with an effort to slow the race to create an A.G.I. in order to allow more time for precautionary trouble-shooting. Astoundingly, however, he advises that, once the A.G.I. arrives, we give it the utmost possible deference. Not only should we listen to the machine; we should ask it to figure out what we want. The misalignment-of-goals problem would seem to make that extremely risky, but Bostrom believes that trying to negotiate the terms of our surrender is better than the alternative, which is relying on ourselves, “foolish, ignorant, and narrow-minded that we are.” Tegmark also concludes that we should inch toward an A.G.I. It’s the only way to extend meaning in the universe that gave life to us: “Without technology, our human extinction is imminent in the cosmic context of tens of billions of years, rendering the entire drama of life in our Universe merely a brief and transient flash of beauty.” We are the analog prelude to the digital main event.

So the plan, after we create our own god, would be to bow to it and hope it doesn’t require a blood sacrifice. An autonomous-car engineer named Anthony Levandowski has set out to start a religion in Silicon Valley, called Way of the Future, that proposes to do just that. After “The Transition,” the church’s believers will venerate “a Godhead based on Artificial Intelligence.” Worship of the intelligence that will control us, Levandowski told a Wired reporter, is the only path to salvation; we should use such wits as we have to choose the manner of our submission. “Do you want to be a pet or livestock?” he asked. I’m thinking, I’m thinking . . . ♦

A.I. needs to learn like a human child.

Matthew Hutson summarizes efforts to nudge machine learning researchers away from the assumption that "computers trained on mountains of data can learn just about anything—including common sense—with few, if any, programmed rules." Some clips from his article:

In February, MIT launched Intelligence Quest, a research initiative now raising hundreds of millions of dollars to understand human intelligence in engineering terms. Such efforts, researchers hope, will result in AIs that sit somewhere between pure machine learning and pure instinct. They will boot up following some embedded rules, but will also learn as they go.

Part of the quest will be to discover what babies know and when—lessons that can then be applied to machines. That will take time, says Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington. AI2 recently announced a $125 million effort to develop and test common sense in AI. "We would love to build on the representational structure innate in the human brain," Etzioni says, "but we don't understand how the brain processes language, reasoning, and knowledge."

Harvard University psychologist Elizabeth Spelke has argued that we have at least four "core knowledge" systems giving us a head start on understanding objects, actions, numbers, and space. We are intuitive physicists, for example, quick to understand objects and their interactions...Gary Marcus has composed a minimum list of 10 human instincts that he believes should be baked into AIs, including notions of causality, cost-benefit analysis, and types versus instances (dog versus my dog).

The debate over where to situate an AI on a spectrum between pure learning and pure instinct will continue. But that issue overlooks a more practical concern: how to design and code such a blended machine. How to combine machine learning—and its billions of neural network parameters—with rules and logic isn't clear. Neither is how to identify the most important instincts and encode them flexibly. But that hasn't stopped some researchers and companies from trying.

...researchers are working to inject their AIs with the same intuitive physics that babies seem to be born with. Computer scientists at DeepMind in London have developed what they call interaction networks. They incorporate an assumption about the physical world: that discrete objects exist and have distinctive interactions. Just as infants quickly parse the world into interacting entities, those systems readily learn objects' properties and relationships. Their results suggest that interaction networks can predict the behavior of falling strings and balls bouncing in a box far more accurately than a generic neural network.

Vicarious, a robotics software company in San Francisco, California, is taking the idea further with what it calls schema networks. Those systems, too, assume the existence of objects and interactions, but they also try to infer the causality that connects them. By learning over time, the company's software can plan backward from desired outcomes, as people do. (I want my nose to stop itching; scratching it will probably help.) The researchers compared their method with a state-of-the-art neural network on the Atari game Breakout, in which the player slides a paddle to deflect a ball and knock out bricks. Because the schema network could learn about causal relationships—such as the fact that the ball knocks out bricks on contact no matter its velocity—it didn't need extra training when the game was altered. You could move the target bricks or make the player juggle three balls, and the schema network still aced the game. The other network flailed.

Besides our innate abilities, humans also benefit from something most AIs don't have: a body. To help software reason about the world, Vicarious is "embodying" it so it can explore virtual environments, just as a baby might learn something about gravity by toppling a set of blocks. In February, Vicarious presented a system that looked for bounded regions in 2D scenes by essentially having a tiny virtual character traverse the terrain. As it explored, the system learned the concept of containment, which helps it make sense of new scenes faster than a standard image-recognition convnet that passively surveyed each scene in full. Concepts—knowledge that applies to many situations—are crucial for common sense. "In robotics it's extremely important that the robot be able to reason about new situations," says Dileep George, a co-founder of Vicarious. Later this year, the company will pilot test its software in warehouses and factories, where it will help robots pick up, assemble, and paint objects before packaging and shipping them.

One of the most challenging tasks is to code instincts flexibly, so that AIs can cope with a chaotic world that does not always follow the rules. Autonomous cars, for example, cannot count on other drivers to obey traffic laws. To deal with that unpredictability, Noah Goodman, a psychologist and computer scientist at Stanford University in Palo Alto, California, helps develop probabilistic programming languages (PPLs). He describes them as combining the rigid structures of computer code with the mathematics of probability, echoing the way people can follow logic but also allow for uncertainty: If the grass is wet it probably rained—but maybe someone turned on a sprinkler. Crucially, a PPL can be combined with deep learning networks to incorporate extensive learning. While working at Uber, Goodman and others invented such a "deep PPL," called Pyro. The ride-share company is exploring uses for Pyro such as dispatching drivers and adaptively planning routes amid road construction and game days. Goodman says PPLs can reason not only about physics and logistics, but also about how people communicate, coping with tricky forms of expression such as hyperbole, irony, and sarcasm.

Intelligent brains have more sparse and efficient nerve connections.

From Genç et al.:

Previous research has demonstrated that individuals with higher intelligence are more likely to have larger gray matter volume in brain areas predominantly located in parieto-frontal regions. These findings were usually interpreted to mean that individuals with more cortical brain volume possess more neurons and thus exhibit more computational capacity during reasoning. In addition, neuroimaging studies have shown that intelligent individuals, despite their larger brains, tend to exhibit lower rates of brain activity during reasoning. However, the microstructural architecture underlying both observations remains unclear. By combining advanced multi-shell diffusion tensor imaging with a culture-fair matrix-reasoning test, we found that higher intelligence in healthy individuals is related to lower values of dendritic density and arborization. These results suggest that the neuronal circuitry associated with higher intelligence is organized in a sparse and efficient manner, fostering more directed information processing and less cortical activity during reasoning.

The light and dark sides of friendship.

I want to point to two brief reviews by Natalie Angier on friendship. She first points to work of Parkinson et al. showing similarities in the brain activities of friends. The Parkinson et al. abstract:

Human social networks are overwhelmingly homophilous: individuals tend to befriend others who are similar to them in terms of a range of physical attributes (e.g., age, gender). Do similarities among friends reflect deeper similarities in how we perceive, interpret, and respond to the world? To test whether friendship, and more generally, social network proximity, is associated with increased similarity of real-time mental responding, we used functional magnetic resonance imaging to scan subjects’ brains during free viewing of naturalistic movies. Here we show evidence for neural homophily: neural responses when viewing audiovisual movies are exceptionally similar among friends, and that similarity decreases with increasing distance in a real-world social network. These results suggest that we are exceptionally similar to our friends in how we perceive and respond to the world around us, which has implications for interpersonal influence and attraction.

Angier also notes work showing that the other side of homophily, or friendship, can be the urge to "otherize" those who differ from you and your friends.

...the study from the University of Michigan had subjects stand outside on a cold winter day and read a brief story about a hiker who was described as either a “left-wing, pro-gay-rights Democrat” or a “right-wing, anti-gay-rights Republican.” When asked whether the hypothetical hiker might feel chilly as well, participants were far more likely to say yes if the protagonist’s political affiliation agreed with their own. But a political adversary — does that person even have skin, let alone a working set of thermal sensors?

The abstract of that study:

What people feel shapes their perceptions of others. In the studies reported here, we examined the assimilative influence of visceral states on social judgment. Replicating prior research, we found that participants who were outside during winter overestimated the extent to which other people were bothered by cold (Study 1), and participants who ate salty snacks without water thought other people were overly bothered by thirst (Study 2). However, in both studies, this effect evaporated when participants believed that the other people under consideration held political views opposing their own. Participants who judged these dissimilar others were unaffected by their own strong visceral-drive states, a finding that highlights the power of dissimilarity in social judgment. Dissimilarity may thus represent a boundary condition for embodied cognition and inhibit an empathic understanding of shared out-group pain. Our findings reveal the need for a better understanding of how people’s internal experiences influence their perceptions of the feelings and experiences of those who may hold values different from their own.

Good things about a party drug (Ketamine).

Ketamine, used extensively as an anesthetic during the Vietnam war and also as a party drug, has a rapidly acting antidepressant effect. A recent clinical trial has shown the antidepressant efficacy of esketamine, the nasal-spray form of the club drug ketamine, suggesting that it might be useful for the rapid treatment of suicidal depression. Conventional antidepressants require 4-6 weeks to be effective. Several labs are studying ketamine's mechanism of action. Yang et al. have found that neuronal burst firing in the lateral habenula, which drives robust depressive-like behaviors, is rapidly blocked by local ketamine infusion. Instead of acting on GABAergic neurons as previously suggested, ketamine blocked glutamatergic neurons in the “anti-reward center” lateral habenula to disinhibit downstream dopaminergic and serotonergic neurons. Widman et al. report that ketamine enhances excitability of pyramidal cells indirectly by reducing synaptic GABAergic inhibition, thus causing disinhibition. They show that only those antagonists with antidepressant efficacy in humans disinhibit pyramidal cells at a clinically relevant concentration, supporting the concept that disinhibition is likely involved in the antidepressant effect of these antagonists.

Why we itch more with aging.

Lewis and Grandl offer context and note the significance of work by by Feng et al.:

It is well known that aging is accompanied by the death of specific cell types that function as sensors of outside signals and that this cell death leads to deficits in our ability to detect these signals. For example, age-associated loss of sensory hair cells and/or spiral ganglia neurons in the inner ear leads to progressive hearing loss, particularly of high frequencies. Similarly, death of photoreceptors in the retina of the eye is a key aspect of the pathogenesis of age-related macular degeneration, the leading cause of vision impairment in individuals older than 60 years of age. Feng et al. now identify an unusual link between age-related loss of a sensory cell type and aberrant sensory processing: During aging, the loss of specialized skin cells called Merkel cells results in alloknesis, the pathological sensation of itch in response to innocuous mechanical stimuli... 

The finding that Merkel cells normally protect against mechanical itch is notable because it is initially counterintuitive. Whereas in other sensory modalities (for example, vision and hearing), a reduction in sensory cell number as a result of cell death leads to a detrimental reduction in sensation, here, death of Merkel cells leads to an increase in unwanted sensation; that is, an otherwise nonaversive stimulus is perceived as potentially harmful.

The Feng et al. abstract:

The somatosensory system relays many signals ranging from light touch to pain and itch. Touch is critical to spatial awareness and communication. However, in disease states, innocuous mechanical stimuli can provoke pathologic sensations such as mechanical itch (alloknesis). The molecular and cellular mechanisms that govern this conversion remain unknown. We found that in mice, alloknesis in aging and dry skin is associated with a loss of Merkel cells, the touch receptors in the skin. Targeted genetic deletion of Merkel cells and associated mechanosensitive Piezo2 channels in the skin was sufficient to produce alloknesis. Chemogenetic activation of Merkel cells protected against alloknesis in dry skin. This study reveals a previously unknown function of the cutaneous touch receptors and may provide insight into the development of alloknesis.

The microbiome regulates amygdala-dependent fear recall.

Hoban et al. show interaction between the gut microbes and expression of anxiety and fear regulated by the amygdala. Their technical abstract:

The amygdala is a key brain region that is critically involved in the processing and expression of anxiety and fear-related signals. In parallel, a growing number of preclinical and human studies have implicated the microbiome–gut–brain in regulating anxiety and stress-related responses. However, the role of the microbiome in fear-related behaviours is unclear. To this end we investigated the importance of the host microbiome on amygdala-dependent behavioural readouts using the cued fear conditioning paradigm. We also assessed changes in neuronal transcription and post-transcriptional regulation in the amygdala of naive and stimulated germ-free (GF) mice, using a genome-wide transcriptome profiling approach. Our results reveal that GF mice display reduced freezing during the cued memory retention test. Moreover, we demonstrate that under baseline conditions, GF mice display altered transcriptional profile with a marked increase in immediate-early genes (for example, Fos, Egr2, Fosb, Arc) as well as genes implicated in neural activity, synaptic transmission and nervous system development. We also found a predicted interaction between mRNA and specific microRNAs that are differentially regulated in GF mice. Interestingly, colonized GF mice (ex-GF) were behaviourally comparable to conventionally raised (CON) mice. Together, our data demonstrates a unique transcriptional response in GF animals, likely because of already elevated levels of immediate-early gene expression and the potentially underlying neuronal hyperactivity that in turn primes the amygdala for a different transcriptional response. Thus, we demonstrate for what is to our knowledge the first time that the presence of the host microbiome is crucial for the appropriate behavioural response during amygdala-dependent memory retention.

Research on subjective well-being.

Given the drum beat of daily negative news we all face, it is useful to be open to facts about longer term trends showing improvement in different areas of life (cf. my series of posts - starting on 4/1/18 - on Pinker's new book, "Enlightenment Now.") In this vein I pass on an open source review article from Nature Human Behavior by Diener et al. describing recent research on subjective well-being. The abstract:

The empirical science of subjective well-being, popularly referred to as happiness or satisfaction, has grown enormously in the past decade. In this Review, we selectively highlight and summarize key researched areas that continue to develop. We describe the validity of measures and their potential biases, as well as the scientific methods used in this field. We describe some of the predictors of subjective well-being such as temperament, income and supportive social relationships. Higher subjective well-being has been associated with good health and longevity, better social relationships, work performance and creativity. At the community and societal levels, cultures differ not only in their levels of well-being but also to some extent in the types of subjective well-being they most value. Furthermore, there are both universal and unique predictors of subjective well-being in various societies. National accounts of subjective well-being to help inform policy decisions at the community and societal levels are now being considered and adopted. Finally we discuss the unknowns in the science and needed future research.

Cognitive underpinnings of nationalistic ideology.

From Zmigrod et al.:

Significance

Belief in rigid distinctions between the nationalistic ingroup and outgroup has been a motivating force in citizens’ voting behavior, as evident in the United Kingdom’s 2016 EU referendum. We found that individuals with strongly nationalistic attitudes tend to process information in a more categorical manner, even when tested on neutral cognitive tasks that are unrelated to their political beliefs. The relationship between these psychological characteristics and strong nationalistic attitudes was mediated by a tendency to support authoritarian, nationalistic, conservative, and system-justifying ideologies. This suggests flexible cognitive styles are related to less nationalistic identities and attitudes.

Abstract

Nationalistic identities often play an influential role in citizens’ voting behavior and political engagement. Nationalistic ideologies tend to have firm categories and rules for what belongs to and represents the national culture. In a sample of 332 UK citizens, we tested whether strict categorization of stimuli and rules in objective cognitive tasks would be evident in strongly nationalistic individuals. Using voting behavior and attitudes from the United Kingdom’s 2016 EU referendum, we found that a flexible representation of national identity and culture was linked to cognitive flexibility in the ideologically neutral Wisconsin Card Sorting Test and Remote Associates Test, and to self-reported flexibility under uncertainty. Path analysis revealed that subjective and objective cognitive inflexibility predicted heightened authoritarianism, nationalism, conservatism, and system justification, and these in turn were predictive of support for Brexit and opposition to immigration, the European Union, and free movement of labor. This model accounted for 47.6% of the variance in support for Brexit. Path analysis models were also predictive of participants’ sense of personal attachment to the United Kingdom, signifying that individual differences in cognitive flexibility may contribute toward ideological thinking styles that shape both nationalistic attitudes and personal sense of nationalistic identity. These findings further suggest that emotionally neutral “cold” cognitive information processing—and not just “hot” emotional cognition—may play a key role in ideological behavior and identity.

Brain changes from adolescence to adulthood

Kundu et al. have used a new fMRI imaging technique to look at shifts in functional brain organization in subjects ranging from 8 to 46 years old, finding that localized networks characteristic of youth meld into larger and more functionally distinct networks with maturity. The number of blood oxygenation level-dependent (BOLD) components is halved from adolescence to the fifth decade of life, stabilizing in middle adulthood. The regions driving this change are dorsolateral prefrontal cortices, parietal cortex, and cerebellum. More dynamic regions correlate with skills that are works in progress during adolescence - developing a sense of self, monitoring one's performance, and estimating others' intentions.

Has artificial intelligence become alchemy?

Mathew Hutson describes Ali Rahimi's critique of current artificial intelligence (AI) learning algorithms at a recent AI meeting:

Rahimi charged that machine learning algorithms, in which computers learn through trial and error, have become a form of “alchemy.” Researchers, he said, do not know why some algorithms work and others don't, nor do they have rigorous criteria for choosing one AI architecture over another...Without deep understanding of the basic tools needed to build and train new algorithms, he says, researchers creating AIs resort to hearsay, like medieval alchemists. “People gravitate around cargo-cult practices,” relying on “folklore and magic spells,” adds François Chollet, a computer scientist at Google in Mountain View, California. For example, he says, they adopt pet methods to tune their AIs' “learning rates”—how much an algorithm corrects itself after each mistake—without understanding why one is better than others.

Rahimi offers several suggestions for learning which algorithms work best, and when. For starters, he says, researchers should conduct “ablation studies” like those done with the translation algorithm: deleting parts of an algorithm one at a time to see the function of each component. He calls for “sliced analysis,” in which an algorithm's performance is analyzed in detail to see how improvement in some areas might have a cost elsewhere.

Ben Recht, a computer scientist at the University of California, Berkeley, and coauthor of Rahimi's alchemy keynote talk, says AI needs to borrow from physics, where researchers often shrink a problem down to a smaller “toy problem.” “Physicists are amazing at devising simple experiments to root out explanations for phenomena,” he says.

Csaba Szepesvári, a computer scientist at DeepMind in London, says the field also needs to reduce its emphasis on competitive testing. At present, a paper is more likely to be published if the reported algorithm beats some benchmark than if the paper sheds light on the software's inner workings.

Not everyone agrees with Rahimi and Recht's critique. Yann LeCun, Facebook's chief AI scientist in New York City, worries that shifting too much effort away from bleeding-edge techniques toward core understanding could slow innovation and discourage AI's real-world adoption. “It's not alchemy, it's engineering,” he says. “Engineering is messy.”

Status threat explains 2016 presidential vote

Niraj Chokshi points to a PNAS article by Diana Mutz.  Mutz's abstract:

Significance

Support for Donald J. Trump in the 2016 election was widely attributed to citizens who were “left behind” economically. These claims were based on the strong cross-sectional relationship between Trump support and lacking a college education. Using a representative panel from 2012 to 2016, I find that change in financial wellbeing had little impact on candidate preference. Instead, changing preferences were related to changes in the party’s positions on issues related to American global dominance and the rise of a majority–minority America: issues that threaten white Americans’ sense of dominant group status. Results highlight the importance of looking beyond theories emphasizing changes in issue salience to better understand the meaning of election outcomes when public preferences and candidates’ positions are changing.

Abstract

This study evaluates evidence pertaining to popular narratives explaining the American public’s support for Donald J. Trump in the 2016 presidential election. First, using unique representative probability samples of the American public, tracking the same individuals from 2012 to 2016, I examine the “left behind” thesis (that is, the theory that those who lost jobs or experienced stagnant wages due to the loss of manufacturing jobs punished the incumbent party for their economic misfortunes). Second, I consider the possibility that status threat felt by the dwindling proportion of traditionally high-status Americans (i.e., whites, Christians, and men) as well as by those who perceive America’s global dominance as threatened combined to increase support for the candidate who emphasized reestablishing status hierarchies of the past. Results do not support an interpretation of the election based on pocketbook economic concerns. Instead, the shorter relative distance of people’s own views from the Republican candidate on trade and China corresponded to greater mass support for Trump in 2016 relative to Mitt Romney in 2012. Candidate preferences in 2016 reflected increasing anxiety among high-status groups rather than complaints about past treatment among low-status groups. Both growing domestic racial diversity and globalization contributed to a sense that white Americans are under siege by these engines of change.

The effort paradox - Effort is both costly and valued

Inzlicht et al. do an interesting review article on how we (as well as some other animals) associate effort with reward, sometimes pursuing objects and outcomes because of the effort they require rather than in spite of it. Effort can increase value retrospectively (as in the IKEA effect, valuing what you build more than what is ready-made), concurrently (as in Flow, enjoyment of energized focus), or prospective (as in effortful versus little effort pro-social work).

Their abstract and list of highlights:

According to prominent models in cognitive psychology, neuroscience, and economics, effort (be it physical or mental) is costly: when given a choice, humans and non-human animals alike tend to avoid effort. Here, we suggest that the opposite is also true and review extensive evidence that effort can also add value. Not only can the same outcomes be more rewarding if we apply more (not less) effort, sometimes we select options precisely because they require effort. Given the increasing recognition of effort’s role in motivation, cognitive control, and value-based decision-making, considering this neglected side of effort will not only improve formal computational models, but also provide clues about how to promote sustained mental effort across time.

Highlights

Prominent models in the cognitive sciences indicate that mental and physical effort is costly, and that we avoid it. Here, we suggest that this is only half of the story.

Humans and non-human animals alike tend to associate effort with reward and will sometimes select objects or activities precisely because they require effort (e.g., mountain climbing, ultra-marathons).

Effort adds value to the products of effort, but effort itself also has value.

Effort’s value can not only be accessed concurrently with or immediately following effort exertion, but also in anticipation of such expenditure, suggesting that we already have an intuitive understanding of effort’s potential positive value.

If effort is consistently rewarded, people might learn that effort is valuable and become more willing to exert it in general.

Transparency is the mother of 'fake news'

Stanley Fish, writing in the NYTimes "The Stone" series suggests that fake news is in large part a product of the enthusiasm for transparency and absolutely free speech. I suggest you read the whole piece. Below are a few clips.

The problem is..

...that information, data and the unbounded flow of more and more speech can be politicized — it can, that is, be woven into a narrative that constricts rather than expands the area of free, rational choice. When that happens — and it will happen often — transparency and the unbounded flow of speech become instruments in the production of the very inequalities (economic, political, educational) that the gospel of openness promises to remove. And the more this gospel is preached and believed, the more that the answer to everything is assumed to be data uncorrupted by interests and motives, the easier it will be for interest and motives to operate under transparency’s cover.

This is so because speech and data presented as if they were independent of any mechanism of selectivity will float free of the standards of judgment that are always the content of such mechanisms. Removing or denying the existence of gatekeeping procedures will result not in a fair and open field of transparency but in a field where manipulation and deception find no obstacles. Because it is an article of their faith that politics are bad and the unmediated encounter with data is good, internet prophets will fail to see the political implications of what they are trying to do, for in their eyes political implications are what they are doing away with.

...human difference is irreducible, and there is no “neutral observation language” (a term of the philosopher Thomas Kuhn’s in his 1962 book “The Structure of Scientific Revolutions”) that can bridge, soften, blur and even erase the differences. When people from opposing constituencies clash there is no common language to which they can refer their differences for mechanical resolution; there are only political negotiations that would involve not truth telling but propaganda, threats, insults, deceptions, exaggerations, insinuations, bluffs, posturings — all the forms of verbal manipulation that will supposedly disappear in the internet nirvana.

They won’t. Indeed, they will proliferate because the politically angled speech that is supposedly the source of our problems is in fact the only possible route to their (no doubt temporary) solution. Speech proceeding from a point of view can at least be recognized as such and then countered. You say, “I know where those guys are coming from, and here are my reasons for believing that we should be coming from some place else” — and dialogue begins. It is dialogue inflected by interests and agendas, but dialogue still. But when speech (or information or data) is just sitting there inert, unattached to any perspective, when there are no guidelines, monitors, gatekeepers or filters, what you have are innumerable bits (like Lego) available for assimilation into any project a clever verbal engineer might imagine; and what you don’t have is any mechanism that can stop or challenge the construction project or even assess it. What you have, in short, are the perfect conditions for the unchecked proliferation of what has come to be called “fake news.”

Industrial revolutions are political and social wrecking balls.

I want to point to yet another impressive bit of research and writing by Thomas Edsall, who gives one of the most clear pictures I have seen of current political and economic changes. Edsall begins with a few quotes from Klaus Schwab at Davos in January 2016 on the bright side of the 'fourth industrial revolution' (cf. my posts on Schwab and Davos on Jan. 28, Jan. 29, and Feb. 9, 2016.) and then the downside. Compared with previous industrial revolutions,

...the fourth is evolving at an exponential rather than a linear pace. Moreover, it is disrupting almost every industry in every country. And the breadth and depth of these changes herald the transformation of entire systems of production, management, and governance.

And, in a huge understatement:

As automation substitutes for labor across the entire economy, the net displacement of workers by machines might exacerbate the gap between returns to capital and returns to labor.

Edsall quotes from various authors:

On balance, near-term AI will have the greatest effect on blue collar work, clerical work and other mid-skilled occupations. Given globalization’s effect on the 2016 presidential election, it is worth noting that near-term AI and globalization replace many of the same jobs...Robots, autonomous vehicles, virtual reality, artificial intelligence, machine learning, drones and the Internet of Things are moving ahead rapidly and transforming the way businesses operate and how people earn their livelihoods. For millions who work in occupations like food service, retail sales and truck driving, machines are replacing their jobs.

AI’s near-term effect will not be mass unemployment but occupational polarization resulting in a slowly growing number of persons moving from mid-skilled jobs into lower wage work

The concern is not that robots will take human jobs and render humans unemployable. The traditional economic arguments against that are borne out by centuries of experience...the problem lies in the process of turnover, which could lead to sustained periods of time with a large fraction of people not working...not all workers will have the training or ability to find the new jobs created by AI. Moreover, this “short run” could last for decades and, in fact, the economy could be in a series of “short runs” for even longer.

A populist politician who campaigned on AI-induced job loss would start with ready-made definitions of the "people” and the “elite” based on national fault lines that were sharpened in the 2016 presidential election. This politician also would have a ready-made example of disrespect: the set of highly educated coastal “elites” who make a very good living developing robots to put “the people” out of work.

...both technology and trade seem to drive structural changes which are consequential for voting behavior...Job losses in manufacturing due to automation do create fertile territory for continued populist appeal...In fact, some of the places where Trump made the biggest gains relative to McCain or Romney are in the heartland of heavy manufacturing where robots did lead to losses of manufacturing jobs...David Autor, an economist at M.I.T., examined the political consequences in congressional districts hurt by increased trade with China and found a significant increase in the election of very conservative Republicans.

Rather than directly opposing free trade policies, individuals in import-exposed communities tend to target scapegoats such as immigrants and minorities. This drives support for right-wing candidates, as they compete electorally by targeting out-groups...in areas affected by trade, the scapegoating of immigrants takes place across the board and is not limited to manufacturing workers.

The hard core of Trump’s voters — more than half of all Republican voters don’t just approve of him, but strongly approve — have, in turn, demonstrated a willingness to deify the president no matter what he does or says — a deification dependent in no small part on Trump’s adoption of new communications technologies like Twitter.

The determination of the Trump wing of the Republican Party to profiteer on technologically driven economic and cultural upheaval — and the success of this strategy to date — suggests that the party will continue on its path. For this reason and many others, it is critically important that Democrats develop a more far-reaching understanding of the disruptive, technologically fueled economic and cultural forces that are now shaping American politics — if they intend to steer the country in a more constructive direction, that is.

How not to mind if someone is lying...

Daniel Effron describes the means by which Trump supporters, aware that many of his statements are falsehoods, manage to temper their potential anger.

Mr. Trump’s representatives have used a subtle psychological strategy to defend his falsehoods: They encourage people to reflect on how the falsehoods could have been true.

Effron's research has confirmed the effectiveness of this tactic. He asked

...2,783 Americans from across the political spectrum to read a series of claims that they were told (correctly) were false. Some claims, like the falsehood about the inauguration crowd, appealed to Mr. Trump’s supporters, and some appealed to his opponents: for instance, a false report (which circulated widely on the internet) that Mr. Trump had removed a bust of the Rev. Dr. Martin Luther King Jr. from the Oval Office.

All the participants were asked to rate how unethical it was to tell the falsehoods. But half the participants were first invited to imagine how the falsehood could have been true if circumstances had been different. For example, they were asked to consider whether the inauguration would have been bigger if the weather had been nicer, or whether Mr. Trump would have removed the bust if he could have gotten away with it.

The results of the experiments... show that reflecting on how a falsehood could have been true did cause people to rate it as less unethical to tell — but only when the falsehoods seemed to confirm their political views. Trump supporters and opponents both showed this effect.

Again, the problem wasn’t that people confused fact and fiction; virtually everyone recognized the claims as false. But when a falsehood resonated with people’s politics, asking them to imagine counterfactual situations in which it could have been true softened their moral judgments. A little imagination can apparently make a lie feel “truthy” enough to give the liar a bit of a pass.

These results reveal a subtle hypocrisy in how we maintain our political views. We use different standards of honesty to judge falsehoods we find politically appealing versus unappealing. When judging a falsehood that maligns a favored politician, we ask, “Was it true?” and then condemn it if the answer is no.

In this time of “fake news” and “alternative facts,”...Even when partisans agree on the facts, they can come to different moral conclusions about the dishonesty of deviating from those facts. The result is more disagreement in an already politically polarized world.

More on the vagaries of expertise

To follow up on yesterday's post on the illusion of having skills, I want to point to two other articles in this vein. Herrera notes work showing that:

...in group-work settings, instead of determining whether a given person has genuine expertise we sometimes focus on proxies of expertise — the traits and habits we associate, and often conflate, with expertise. That means qualities such as confidence, extroversion and how much someone talks can outweigh demonstrated knowledge when analyzing whether a person is an expert...In other words, your brain can instinctively trust people simply because they sound as if they know what they’re talking about.

And, Gibson reviews the work of Tom Nichols, reflected in his book "The Death of Expertise: The Campaign Against Expertise and Why It Matters." Nichols...

...had begun noticing what he perceived as a new and accelerating—and dangerous—hostility toward established knowledge. People were no longer merely uninformed, Nichols says, but “aggressively wrong” and unwilling to learn. They actively resisted facts that might alter their preexisting beliefs. They insisted that all opinions, however uninformed, be treated as equally serious. And they rejected professional know-how, he says, with such anger. That shook him.

Skepticism toward intellectual authority is bone-deep in the American character, as much a part of the nation’s origin story as the founders’ Enlightenment principles. Overall, that skepticism is a healthy impulse, Nichols believes. But what he was observing was something else, something malignant and deliberate, a collapse of functional citizenship. “Americans have reached a point where ignorance, especially of anything related to public policy, is an actual virtue...To reject the advice of experts is to assert autonomy, a way for Americans to insulate their increasingly fragile egos from ever being told they’re wrong about anything.”

Readers regularly approach Nichols with stories of their own disregarded expertise: doctors, lawyers, plumbers, electricians who’ve gotten used to being second-guessed by customers and clients and patients who know little or nothing about their work. “So many people over the past year have walked up to me and said, ‘You wrote what I was thinking,’” he says.

The illusion of skill acquisition.

Kardas and O'Brien document how watching others perform can foster an illusion of skill acquisition. Their abstract:

Modern technologies such as YouTube afford unprecedented access to the skilled performances of other people. Six experiments (N = 2,225) reveal that repeatedly watching others can foster an illusion of skill acquisition. The more people merely watch others perform (without actually practicing themselves), the more they nonetheless believe they could perform the skill, too (Experiment 1). However, people’s actual abilities—from throwing darts and doing the moonwalk to playing an online game—do not improve after merely watching others, despite predictions to the contrary (Experiments 2–4). What do viewers see that makes them think they are learning? We found that extensive viewing allows people to track what steps to take (Experiment 5) but not how those steps feel when taking them. Accordingly, experiencing a “taste” of performing attenuates the illusion: Watching others juggle but then holding the pins oneself tempers perceived change in one’s own ability (Experiment 6). These findings highlight unforeseen problems for self-assessment when watching other people.

Protein synthesis in brain tissue is much higher than previously thought.

Smeets et al. use stable isotope methodology during temporal lobe resection surgery to demonstrate protein synthesis rates exceeding 3% per day, suggesting that brain tissue plasticity is far greater than previously assumed.

All tissues undergo continuous reconditioning via the complex orchestration of changes in tissue protein synthesis and breakdown rates. Skeletal muscle tissue has been well studied in this regard, and has been shown to turnover at a rate of 1–2% per day in vivo in humans. Few data are available on protein synthesis rates of other tissues. Because of obvious limitations with regard to brain tissue sampling no study has ever measured brain protein synthesis rates in vivo in humans. Here, we applied stable isotope methodology to directly assess protein synthesis rates in neocortex and hippocampus tissue of six patients undergoing temporal lobectomy for drug-resistant temporal lobe epilepsy (Clinical trial registration: NTR5147). Protein synthesis rates of neocortex and hippocampus tissue averaged 0.17 ± 0.01 and 0.13 ± 0.01%/h, respectively. Brain tissue protein synthesis rates were 3–4-fold higher than skeletal muscle tissue protein synthesis rates (0.05 ± 0.01%/h; P < 0.001). In conclusion, the protein turnover rate of the human brain is much higher than previously assumed.

Electrical brain stimulation enhances visual memory performance

Kucewicz et al. study patients with epilepsy undergoing evaluation for resective surgery to show that stimulation of the lateral temporal cortex, but not the hippocampus, parahippocampal neocortex or prefrontal cortex, increases the number of words that patients can remember.:

Direct electrical stimulation of the human brain can elicit sensory and motor perceptions as well as recall of memories. Stimulating higher order association areas of the lateral temporal cortex in particular was reported to activate visual and auditory memory representations of past experiences (Penfield and Perot, 1963). We hypothesized that this effect could be used to modulate memory processing. Recent attempts at memory enhancement in the human brain have been focused on the hippocampus and other mesial temporal lobe structures, with a few reports of memory improvement in small studies of individual brain regions. Here, we investigated the effect of stimulation in four brain regions known to support declarative memory: hippocampus, parahippocampal neocortex, prefrontal cortex and temporal cortex. Intracranial electrode recordings with stimulation were used to assess verbal memory performance in a group of 22 patients (nine males). We show enhanced performance with electrical stimulation in the lateral temporal cortex (paired t-test, P = 0.0067), but not in the other brain regions tested. This selective enhancement was observed both on the group level, and for two of the four individual subjects stimulated in the temporal cortex. This study shows that electrical stimulation in specific brain areas can enhance verbal memory performance in humans.

A morning cortisol pulse is crucial for normal cognitive and emotional responses.

From Kalafatakis et. al.:

Significance

The hypothalamic-pituitary-adrenal axis is a critical neurohormonal network regulating homeostasis and coordinating stress responses. Here we demonstrate that an oscillating pattern of plasma cortisol is important for maintenance of healthy brain responses as measured by functional neuroimaging and behavioral testing. Our data highlight the crucial role of glucocorticoid rhythmicity in (i) modulating sleep behavior and working memory performance, and (ii) regulating the human brain’s responses under emotional stimulation. Current optimal cortisol replacement therapies for patients with primary or secondary adrenal insufficiently are associated with poor psychological status, and these results suggest that closer attention to aspects of chronotherapy will benefit these patients and may also have major implications for improved glucocorticoid dynamics in stress and psychiatric disease.

Abstract

Glucocorticoids (GCs) are secreted in an ultradian, pulsatile pattern that emerges from delays in the feedforward-feedback interaction between the anterior pituitary and adrenal glands. Dynamic oscillations of GCs are critical for normal cognitive and metabolic function in the rat and have been shown to modulate the pattern of GC-sensitive gene expression, modify synaptic activity, and maintain stress responsiveness. In man, current cortisol replacement therapy does not reproduce physiological hormone pulses and is associated with psychopathological symptoms, especially apathy and attenuated motivation in engaging with daily activities. In this work, we tested the hypothesis that the pattern of GC dynamics in the brain is of crucial importance for regulating cognitive and behavioral processes. We provide evidence that exactly the same dose of cortisol administered in different patterns alters the neural processing underlying the response to emotional stimulation, the accuracy in recognition and attentional bias toward/away from emotional faces, the quality of sleep, and the working memory performance of healthy male volunteers. These data indicate that the pattern of the GC rhythm differentially impacts human cognition and behavior under physiological, nonstressful conditions and has major implications for the improvement of cortisol replacement therapy.

Sitting is bad for your brain...

It is well known that sitting for long periods each day correlates with higher risk of heart disease, diabetes, and mortality rate. Siddarth et al. at UCLA now show a correlation of sedentary behavior with reduced thickness of the medial temporal lobe of our brains, which contains the hippocampus and is central to learning and memory. Their abstract:

Atrophy of the medial temporal lobe (MTL) occurs with aging, resulting in impaired episodic memory. Aerobic fitness is positively correlated with total hippocampal volume, a heavily studied memory-critical region within the MTL. However, research on associations between sedentary behavior and MTL subregion integrity is limited. Here we explore associations between thickness of the MTL and its subregions (namely CA1, CA23DG, fusiform gyrus, subiculum, parahippocampal, perirhinal and entorhinal cortex,), physical activity, and sedentary behavior. We assessed 35 non-demented middle-aged and older adults (25 women, 10 men; 45–75 years) using the International Physical Activity Questionnaire for older adults, which quantifies physical activity levels in MET-equivalent units and asks about the average number of hours spent sitting per day. All participants had high resolution MRI scans performed on a Siemens Allegra 3T MRI scanner, which allows for detailed investigation of the MTL. Controlling for age, total MTL thickness correlated inversely with hours of sitting/day (r = -0.37, p = 0.03). In MTL subregion analysis, parahippocampal (r = -0.45, p = 0.007), entorhinal (r = -0.33, p = 0.05) cortical and subiculum (r = -0.36, p = .04) thicknesses correlated inversely with hours of sitting/day. No significant correlations were observed between physical activity levels and MTL thickness. Though preliminary, our results suggest that more sedentary non-demented individuals have less MTL thickness. Future studies should include longitudinal analyses and explore mechanisms, as well as the efficacy of decreasing sedentary behaviors to reverse this association.

Brain signals predict who we will like in the future.

From Zerubavel et al.:

Significance

When joining a group, we may initially like some individuals more than others. Likewise, certain group members may be particularly drawn to us. Over months of interaction, these attractions inevitably change and typically become reciprocated. This study uses fMRI to predict such changes in liking. Specifically, we measure newly acquainted group members’ reward system responses to images of one another’s faces. We find that T1 neural responses predict whom one will like in the future. More strikingly, we find that others’ T1 neural responses to us predict whom we will like months later, at T2. This brain-based mechanism helps explain how group members’ initially unreciprocated liking sentiments become mutually reciprocated. This study reveals how our brains interdependently shape interpersonal relationships.

Abstract

Why do certain group members end up liking each other more than others? How does affective reciprocity arise in human groups? The prediction of interpersonal sentiment has been a long-standing pursuit in the social sciences. We combined fMRI and longitudinal social network data to test whether newly acquainted group members’ reward-related neural responses to images of one another’s faces predict their future interpersonal sentiment, even many months later. Specifically, we analyze associations between relationship-specific valuation activity and relationship-specific future liking. We found that one’s own future (T2) liking of a particular group member is predicted jointly by actor’s initial (T1) neural valuation of partner and by that partner’s initial (T1) neural valuation of actor. These actor and partner effects exhibited equivalent predictive strength and were robust when statistically controlling for each other, both individuals’ initial liking, and other potential drivers of liking. Behavioral findings indicated that liking was initially unreciprocated at T1 yet became strongly reciprocated by T2. The emergence of affective reciprocity was partly explained by the reciprocal pathways linking dyad members’ T1 neural data both to their own and to each other’s T2 liking outcomes. These findings elucidate interpersonal brain mechanisms that define how we ultimately end up liking particular interaction partners, how group members’ initially idiosyncratic sentiments become reciprocated, and more broadly, how dyads evolve. This study advances a flexible framework for researching the neural foundations of interpersonal sentiments and social relations that—conceptually, methodologically, and statistically—emphasizes group members’ neural interdependence.

You're as old as you feel...

The cliche continues to be backed up by data indicating that it is correct. Marlene Cimons does a piece pointing to recent work on attitude and aging. A well know paradox of old age is that as people's minds and bodies deline, instead of feeling worse about their lives, they feel better. A large internet survey by Chopik et al. of over half a million people showed that, consistently across age groups, people report themselves to feel about 20% younger than their current age. People who go against common negative view about aging to feel positive about aging are less likely to develop dementia. In a study of 4,765 dementia free subjects age 60 or older Levy et al. found that people with the  ε4 variant of the APOE gene (one of the strongest risk factors for dementia) who had positive age beliefs were 50% less likely to develop dementia.

A workshop on music and the brain.

I want to point to this open access article describing an NIH/Kennedy Center workshop on music and the brain, hosted by National Institutes of Health (NIH) Director Francis Collins, soprano Renée Fleming, and Kennedy Center (KC) President Deborah Rutter. Descriptions of the various workshops, in addition to waffling and hot air, include some useful links to basic research articles on music and the brain. Here is a clip from the introduction:

The workshop was organized around the three life stages—childhood, adulthood, and aging. In each session, a panel of 25 experts (listed in Table 1) discussed recent breakthroughs in research and their potential therapeutic applications. Over the course of a day and a half, the panelists recommended basic and applied research that will: (1) increase our understanding of how the brain processes music; (2) lead to scientifically based strategies to enhance normal brain development and function; and (3) result in evidence-based music interventions for brain diseases. In the sections that follow, we will review the discussions from the workshop and highlight the major recommendations that emerged. Finally, we will discuss how funding agencies, scientists, clinicians, and supporters of the arts can work together to catalyze further progress.

The article is worth a read for those (like myself) interested in music and the brain. The workshop on music and the adult brain discusses the effect of musical training on adult brain structure and function. Here are the topics:

“Building”: Music and the Child’s Brain

Music as a Therapeutic Intervention in Children

“Engaging”: Music and the Adult Brain

Music as a Therapeutic Intervention in Adults: Overlapping Circuits Suggest Potential Mechanisms

“Sustaining”: Music and the Aging Brain

Music as a Tool for Restoring Function in the Aging Brain

Risk tolerance is predicted by amygdala-prefrontal cortex connectivity

Hoon et al. show that more nerve connections between our amygdala and the rest of the brain increase our tolerance for risk.

Highlights

•Neural markers for risk tolerance were investigated with multimodal imaging data 

•Risk tolerance correlated with amygdala-medial prefrontal cortex connectivity 

•Risk tolerance correlated with amygdala structure

Summary

Risk tolerance, the degree to which an individual is willing to tolerate risk in order to achieve a greater expected return, influences a variety of financial choices and health behaviors. Here we identify intrinsic neural markers for risk tolerance in a large (n = 108) multimodal imaging dataset of healthy young adults, which includes anatomical and resting-state functional MRI and diffusion tensor imaging. Using a data-driven approach, we found that higher risk tolerance was most strongly associated with greater global functional connectivity (node strength) of and greater gray matter volume in bilateral amygdala. Further, risk tolerance was positively associated with functional connectivity between amygdala and medial prefrontal cortex and negatively associated with structural connectivity between these regions. These findings show how the intrinsic functional and structural architecture of the amygdala, and amygdala-medial prefrontal pathways, which have previously been implicated in anxiety, are linked to individual differences in risk tolerance during economic decision making.

Propagation of economic inequality through reciprocity and reputation.

Interesting work from Hackel and Zaki...an excerpt from their introduction, followed by their abstract:

Reciprocity and reputation are cornerstones of both evolutionary accounts of prosociality and evidence-based policy suggestions for amplifying cooperation on a large scale. For instance, people are more likely to vote, donate blood, and conserve energy when their actions are observable by others.

In studies of reciprocity, participants typically start out with an even distribution of wealth By contrast, the real world features enormous and rising economic inequality. We propose that when initial distributions of wealth are unequal, reciprocity and reputation might exacerbate economic inequality.

One possible mechanism is reward-based reinforcement learning, through which people associate actions with rewards Consider two “givers,” one of whom starts with a $100 endowment and the other of whom starts with a $20 endowment. If each giver shares half of his or her resources, each exhibits equal levels of generosity but provides differing levels of reward value, or raw capital, to beneficiaries. When people experience repeated pairings of a stimulus with reward, they are more likely to return to that stimulus . Similarly, we suggest that rewards build positive affect toward another person—even when those rewards do not reflect the giver’s generosity—and these positive associations can color later choices of people with whom to interact.

The abstract:

Reciprocity and reputation are powerful tools for encouraging cooperation on a broad scale. Here, we highlight a potential side effect of these social phenomena: exacerbating economic inequality. In two novel economic games, we manipulated the amount of money with which participants were endowed and then gave them the opportunity to share resources with others. We found that people reciprocated more toward higher-wealth givers, compared with lower-wealth givers, even when those givers were equally generous. Wealthier givers also achieved better reputations than less wealthy ones and therefore received more investments in a social marketplace. These discrepancies were well described by a formal model of reinforcement learning: Individuals who weighted monetary outcomes, rather than generosity, when learning about interlocutors also most strongly helped wealthier individuals. This work demonstrates that reciprocity and reputation—although globally increasing prosociality—can widen wealth gaps and provides a precise account of how inequality grows through social processes.

Seeing what you feel - unconscious affect drives perception

Siegle et al. provide yet another example of how it is impossible to separate emotions from cognition and perception:

Affective realism, the phenomenon whereby affect is integrated into an individual’s experience of the world, is a normal consequence of how the brain processes sensory information from the external world in the context of sensations from the body. In the present investigation, we provided compelling empirical evidence that affective realism involves changes in visual perception (i.e., affect changes how participants see neutral stimuli). In two studies, we used an interocular suppression technique, continuous flash suppression, to present affective images outside of participants’ conscious awareness. We demonstrated that seen neutral faces are perceived as more smiling when paired with unseen affectively positive stimuli. Study 2 also demonstrated that seen neutral faces are perceived as more scowling when paired with unseen affectively negative stimuli. These findings have implications for real-world situations and challenge beliefs that affect is a distinct psychological phenomenon that can be separated from cognition and perception.

Why exercise alone may not cause weight loss.

Gretchen Reynolds points to work by Lark et al. showing that mice given the opportunity to exercise on a running wheel then are more lazy the rest of the time than mice who don't exercise. Thus the effects of voluntary exercise can be countered by a reduction in nonexercise activity. This may explain why numerous studies in recent years examining exercise and weight loss in both humans and animals have concluded that exercise, by itself, is not an effective way to drop pounds.