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To what extent are we shaped by, and to what degree do we shape, our own brains? And can the brain’s ability to change be harnessed to give us greater cognitive powers? The experiences of many people suggest that it can.

This growth can even happen within a matter of days.

Every time we practice an old skill or learn a new one, existing neural connections are strengthened and, over time, neurons create more connections to other neurons. Even new nerve cells can be generated.

Music is an especially powerful shaping force, for listening to and especially playing it engages many different areas of the brain

Whether it is by learning a new language, traveling to a new place, developing a passion for beekeeping or simply thinking about an old problem in a new way, all of us can find ways to stimulate our brains to grow

“All you need to do is see the videos of the beheadings and we’re not worried about mission creep,”

And for the cherry on top of that dollop of honesty, consider the candid cynicism of Representative Jack Kingston, of Georgia, explaining the Republican strategy on Obama’s initiative. “We can denounce it if it goes bad, and praise it if it goes well, and ask him what took him so long,” he said.

No person of conscience could watch the Ray Rice video without feeling revulsion. But that shouldn’t be the new standard for outrage and action. Trying to sway someone with an old-fashioned appeal — e.g., figures on the number of women who are kicked cold every day — is largely fruitless.

“The world has always been messy,” said Obama, a smart man, making a smart observation to a public that doesn’t reward that trait. “In part we’re just noticing now because of social media and our capacity to see in intimate detail the hardships that people are going through.”

“The character identification is the driving force,” says Wells, whose own research focusses on perception and the visual appeal of film. “It’s why people tend to identify with that medium always—it allows them to be put in those roles and experiment through that.”

one theme seemed to resonate: everyone could identify with Elsa. She wasn’t your typical princess. She wasn’t your typical Disney character. Born with magical powers that she couldn’t quite control, she meant well but caused harm, both on a personal scale (hurting her sister, repeatedly) and a global one (cursing her kingdom, by mistake). She was flawed—actually flawed, in a way that resulted in real mistakes and real consequences. Everyone could interpret her in a unique way and find that the arc of her story applied directly to them

what does all of this mean for “Frozen”? On the one hand, the movie shares many typical story elements with other Disney films. There are the parents dead within the first ten minutes (a must, it seems, in Disney productions), royalty galore, the quest to meet your one true love, the comic-relief character (Olaf the Snowman) to punctuate the drama. Even the strong female lead isn’t completely new

In 2012, he and Simonton conducted a study of two hundred and twenty family films released between 1996 and 2009, to see whether successful children’s movies had certain identifying characteristics. They found that films that dealt with nuanced and complex themes did better than those that played it safe, as measured both by ratings on metacritic.com, rottentomatoes.com, and IMDb and by over-all financial performance.

the story keeps the audience engaged because it subverts expected tropes and stereotypes, over and over. “It’s the furthest thing from a typical princess movie,”

It also, unlike prior Disney films, aces the Bechdel Test: not only are both leads female, but they certainly talk about things other than men. It is the women, in fact, not the men, who save the day, repeatedly—and a selfless act of sacrifice rather than a “kiss of true love” that ends up winning.

She recalls the sheer diversity of the students who joined the discussion: a mixture, split evenly between genders, of representatives of the L.G.B.T. community, artists, scientists.

“A good story, issues to think about and wrestle with,”

Simonton and Kaufman were able to explain only twenty to twenty-four per cent of variance in critical success and twenty-five in domestic gross earnings.

The other element, of course, is that intangible that Litman calls “buzz” and Simonson calls “information cascades,” the word of mouth that makes people embrace the story,

Part of the credit goes to Disney’s strategy. In their initial marketing campaign, they made an effort to point out the story’s uniqueness.

And their lawyers allowed the music to spread naturally through social media.

part of the credit goes to Jennifer Lee’s team, for the choices they consciously made to make the screenplay as complex as it was. Elsa was once evil; Elsa and Anna weren’t originally sisters; the prince wasn’t a sociopath. Their decisions to forego a true villain—something no Disney film had successfully done—and to make the story one driven by sibling love rather than romantic infatuation have made “Frozen” more than simply nuanced and relatable. They’ve made it more universally acceptable.

In contrast to other recent Disney films, like “Tangled,” “Frozen” isn’t politically fraught or controversial: you can say it’s good without fear of being accused of being a racist or an apologist or an animal-rights opponent

to echo the words of the screenwriting legend William Goldman, “Nobody knows anything.” In the end, it may just be a bit of magic.

What do we mean by motivation? It's been defined as a predisposition to behave in a purposeful manner to achieve specific, unmet needs and the will to achieve, and the inner force that drives individuals to accomplish personal and organizational goals. And why do we need motivated employees? The answer is survival.

It turns out that people are motivated by interesting work, challenge, and increasing responsibility—intrinsic factors. People have a deep-seated need for growth and achievement.

Even understanding what constitutes human motivation  has been a centuries old puzzle, addressed as far back as Aristotle.

. Pink concludes that extrinsic motivators work only in a surprisingly narrow band of circumstances; rewards often destroy creativity and employee performance; and the secret to high performance isn’t reward and punishment but that unseen intrinsic drive—the drive to do something  because it is meaningful.

true motivation boils down to three elements: Autonomy, the desire to direct our own lives; mastery, the desire to continually improve at something that matters to us, and purpose, the desire to do things in service of something larger than ourselves.

The carrot-and-stick approach worked well for typical tasks of the early 20th century —routine, unchallenging and highly controlled. For these tasks, where the process is straightforward and lateral thinking is not required, rewards can provide a small motivational boost without any harmful side effects

obs in the 21st century have changed dramatically. They have become more complex, more interesting and more self-directed, and this is where the carrot-and-stick approach has become unstuck.

He knows that what his network is doing is against the national interest. He has just enough conscience to be aware that it is “terrible,” but not nearly enough to stop doing it. It might impair shareholder value, after all.

Mr. Moonves is suggesting that there is no difference in principle between entertainment and news. Both should be judged by the same standard—ratings. If policy speeches don’t attract large enough audiences, cut to a Trump rally.

If the leading purveyors of broadcast journalism make no distinction between news and entertainment, then who can blame viewers for seeing no difference between entertainment and politics?

American politicians and parties have used entertainment to draw audiences for the better part of two centuries. But there used to be countervailing forces, including prestigious broadcast news organizations. Not anymore. Once these organizations served as gatekeepers; now they are open-door enablers.

They are all in the grip of the same misunderstanding, that their business begins and ends with maximizing shareholder value.

They may believe that this is a statutory requirement or a fiduciary duty. If so, they are mistaken

It is Milton Friedman’s theory. “There is one and only one social responsibility of business,” he wrote in “Capitalism and Freedom,” “to use its resources and engage in activities designed to increase its profits.”

corporate law imposes no enforceable legal duty to maximize either profits or share prices.

And it is not politically sustainable. This is the clear meaning of the 2016 presidential election.

As a policy argument, Friedman’s thesis flunks key empirical tests

during the 1970s, inflation, recession, a stagnant stock market and rising competition from abroad created an opening for Friedman’s theory, which soon dominated corporate boardrooms.

In the name of maximizing shareholder value, corporations moved plants and jobs around the world, paid the lowest wages they could get away with, and scheduled work assignments to maintain managerial “flexibility,” whatever the consequences for workers’ families. Meanwhile, their lobbyists engineered a myriad of special interest breaks in the corporate tax code.

Now we can see what four decades of pursuing shareholder value at the expense of everything else has yielded

Public confidence in corporations is at rock-bottom, and public anger is sky-high

The revolt against the corporate economic agenda—free trade, a generous immigration policy, lower corporate taxes and the rest—is sweeping the country.

As the Republican rank and file has turned against corporations and New Democrats have given ground to left-wing populists, big business has been left politically homeless.

It will take corporate America a long time to climb out of this self-created hole.

Its first step should be to back long-overdue proposals for improving workers’ lives and incomes. Paid family leave is an idea whose time has come; so is a catch-up increase in the federal minimum wage; so are stable and predictable schedules for part-time workers.

Allowing workers to share in profits and productivity increases would be another good step.

Above all, corporate leaders should grasp the distinction between immediate gain and self-interest rightly understood. Pushing for the last increment of profit over the next quarter and the one after that comes at the expense of the strategies that can leave firms best positioned for the future.

America needs a new generation of corporate statesmen.

A small percentage of the public believes that vaccines are truly dangerous. People who hold this view — which is incorrect — also believe that they know more than experts about this topic.

the study was also conducted in France and Germany, with similar results.

those with the least understanding of science had the most science-opposed views, but thought they knew the most

Many Americans take supplements, but the reasons are varied and are not linked to any hard evidence

Most of them say they are unaffected by claims from experts contradicting the claims of manufacturers. Only a quarter said they would stop using supplements if experts said they were ineffective. They must think they know better.

the Dunning-Kruger effect, named for the two psychologists who wrote a seminal paper in 1999 entitled “Unskilled and Unaware of It.”

A lack of knowledge leaves some without the contextual information necessary to recognize mistakes, they wrote, and their “incompetence robs them of the ability to realize it.”

communication strategies on G.M.O.s — intended to help the public see that their beliefs did not align with experts — wound up backfiring

attempting to provide corrective information to voters about death panels wound up increasing their belief in them among politically knowledgeable supporters of Sarah Palin.

A 2015 study published in Vaccine showed that giving corrective information about the flu vaccine led patients most concerned about side effects to be less likely to get the vaccine.

“knowledge deficit model,” an idea that the lack of support for good policies, and good science, merely reflects a lack of scientific information.

Scientists need to be formally trained in communication skills, they said, and they also need to realize that the knowledge deficit model makes for easy policy, but not necessarily good results.

It seems important to engage the public more, and earn their trust through continued, more personal interaction, using many different platforms and technologies

Bombarding people with more information about studies isn’t helping. How the information contained in them is disseminated and discussed may be much more important.

This is the big problem in science that no one is talking about: even an honest person is a master of self-deception. Our brains evolved long ago on the African savannah, where jumping to plausible conclusions about the location of ripe fruit or the presence of a predator was a matter of survival. But a smart strategy for evading lions does not necessarily translate well to a modern laboratory, where tenure may be riding on the analysis of terabytes of multidimensional data. In today's environment, our talent for jumping to conclusions makes it all too easy to find false patterns in randomness, to ignore alternative explanations for a result or to accept 'reasonable' outcomes without question — that is, to ceaselessly lead ourselves astray without realizing it.

Failure to understand our own biases has helped to create a crisis of confidence about the reproducibility of published results

Although it is impossible to document how often researchers fool themselves in data analysis, says Ioannidis, findings of irreproducibility beg for an explanation. The study of 100 psychology papers is a case in point: if one assumes that the vast majority of the original researchers were honest and diligent, then a large proportion of the problems can be explained only by unconscious biases. “This is a great time for research on research,” he says. “The massive growth of science allows for a massive number of results, and a massive number of errors and biases to study. So there's good reason to hope we can find better ways to deal with these problems.”

Although the human brain and its cognitive biases have been the same for as long as we have been doing science, some important things have changed, says psychologist Brian Nosek, executive director of the non-profit Center for Open Science in Charlottesville, Virginia, which works to increase the transparency and reproducibility of scientific research. Today's academic environment is more competitive than ever. There is an emphasis on piling up publications with statistically significant results — that is, with data relationships in which a commonly used measure of statistical certainty, the p-value, is 0.05 or less. “As a researcher, I'm not trying to produce misleading results,” says Nosek. “But I do have a stake in the outcome.” And that gives the mind excellent motivation to find what it is primed to find.

Another reason for concern about cognitive bias is the advent of staggeringly large multivariate data sets, often harbouring only a faint signal in a sea of random noise. Statistical methods have barely caught up with such data, and our brain's methods are even worse, says Keith Baggerly, a statistician at the University of Texas MD Anderson Cancer Center in Houston. As he told a conference on challenges in bioinformatics last September in Research Triangle Park, North Carolina, “Our intuition when we start looking at 50, or hundreds of, variables sucks.”

One trap that awaits during the early stages of research is what might be called hypothesis myopia: investigators fixate on collecting evidence to support just one hypothesis; neglect to look for evidence against it; and fail to consider other explanations.

Last words such as these are only found in 14% of cases. The authors began to notice differences between note leavers and non-leavers in their research, as well as people who attempt suicide and those who complete the act.

Many notes were addressed to one person. Others were to no one in particular.

Nowadays, being a white male is the single biggest risk factor. Why is that? According to Case and Deaton, drastic changes in the labor market is the most significant factor.

“Hegemonic masculinity,” or a perception that heightened masculinity must be portrayed at all times, a goal that no male can live up to.

Another 23% of note writers ended it all due to unrequited love or love lost. 22% said they themselves created the problem which led to their decision.

Meyer and colleagues also propose a national prevention plan, to foster a sense of community and social support.

If you feel suicidal, or are concerned for a friend, don't wait: talk to someone, or learn about suicide prevention here.

“When people hear ‘clown,’ the first associations that pop into their head are the killer clowns in the movies — It, the Joker— and then John Wayne Gacy, the real-life mass murderer,” McAndrew says of the 1970s serial killer who became known as the “Killer Clown” for his volunteer clown work. “It’s kind of hard to get past all of that.”

“[Some of the] very first clowns were the court jesters who poked fun at kings and made people in high places uncomfortable. That’s why they exist,” he tells TIME of the history of clowns in medieval Europe. “They’re designed to make people afraid. If you go all the way back to the beginning of clownhood, they’ve always been bad. They’re pranksters, they play tricks.”

However, while many people are apprehensive or fearful of clowns, both Nader and McAndrew agree that someone having an actual phobia of clowns, a.k.a. coulrophobia, is rare.

“Fortunately, we live in a society where clowns aren’t just wandering around, so it’s pretty easy to avoid them or at least not come into contact with them very regularly. Rarely does this fear ever cause a person to experience a disruption in their lifestyle or ability to do things.”

“We like to learn about dangers in a safe way so that we’re prepared in some unknown future time to deal with them if they ever come our way. So by going to see IT and watching this evil clown lure children in and kill them, we learn strategies for avoiding that kind of fate ourselves,” he says. “We’re not consciously sitting there, watching the movie and thinking these things, but that impulse to like to scare ourselves is there.”

Spring is the season of optimism. With it comes more natural light and warm weather, both great mood boosters

Yes, receiving your vaccine shot, daydreaming about intimate dinner parties or those first hugs with grandchildren may give you a jolt of joy, but euphoria, unfortunately, tends to be fleeting.

When good (or bad) things happen, we feel an initial surge or dip in our overall happiness levels.

Hedonic adaptation means that, over time, we settle back into wherever we were happiness-wise before that good or bad event happened.

ven if the good thing — like getting your dream job — is continuing.

To maintain those positive feelings, you are going to need to work on it a bit

Thank evolution.

“Our brains developed biologically for survival, not happiness,”

ven the mundane things — like watching yet another youth soccer game — can feel special if you take a moment to remember the not-so-distant past when so much of our lives was put on hold.

While many Americans are beginning to exhale, many others are buried deep in grief.

If you’re not allowing yourself to feel happy because you worry you’ll be disappointed by future bad news, that’s OK too, Dr. Owens said.

This is called defensive pessimism, and it can help people feel more in control of a bad situation.

it’s understandable if you are just not ready to feel optimistic yet

Savor this (and everything).

Your first time hugging friends in a year is going to be so sweet, you’ll undoubtedly savor every moment of it. But there is joy in everyday things, too

To start, it’s OK if you’re not OK.

Marvel as much as you can.

This feeling can come from a walk around the block, said Allen Klein, author of “The Awe Factor.” One of his favorite strategies for ensuring his daily dose of awe is heading out for an “awe walk.”

On these strolls, he’ll turn off his mental list of chores and things to remember, and instead focus on finding wonder in small things along the way.

Be grateful and kind.

Acts of kindness tend to increase people’s ratings of their happiness,

The boost you get may not be huge, however

University of California, Riverside, found reflecting on past kind deeds improved well-being at a rate similar to actually going out and doing new good deeds.

This isn’t clearance to never be kind again, though. But if you’re stuck at home and cannot get out to help a friend, try thinking back on a time when you did those things.

Realize happiness alone isn’t enough.

If you have been struggling with depression throughout the pandemic — as many Americans have — working to boost your own happiness may not be the cure you are hoping for

“The opposite of depression is not happiness,”

“The opposite of depression is no longer being depressed.”

If you have been struggling with symptoms of depression these past 12 months, you may feel your depression subside as the pandemic slowly wanes. It may not.

Clinical depression should be treated by a mental health professional.

Break out your calendar.

Perhaps it’s too early to set a date for that 15-person dinner party, but you certainly can crack open a cookbook to start planning the menu.

And when party day arrives, don’t forget to savor every last morsel and belly laugh, as you eat, drink and be more than just fleetingly merry.

Most A.I. researchers agree that models trained using R.L.H.F. are better behaved than models without it. But some argue that fine-tuning a language model this way doesn’t actually make the underlying model less weird and inscrutable. In their view, it’s just a flimsy, friendly mask that obscures the mysterious beast underneath.

In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F., a process that involves asking humans to score chatbot responses, and feeding those scores back into the A.I. model.

Shoggoths are fictional creatures, introduced by the science fiction author H.P. Lovecraft in his 1936 novella “At the Mountains of Madness.” In Lovecraft’s telling, Shoggoths were massive, blob-like monsters made out of iridescent black goo, covered in tentacles and eyes.

@TetraspaceWest said, wasn’t necessarily implying that it was evil or sentient, just that its true nature might be unknowable.

And it reinforces the notion that what’s happening in A.I. today feels, to some of its participants, more like an act of summoning than a software development process. They are creating the blobby, alien Shoggoths, making them bigger and more powerful, and hoping that there are enough smiley faces to cover the scary parts.

“I was also thinking about how Lovecraft’s most powerful entities are dangerous — not because they don’t like humans, but because they’re indifferent and their priorities are totally alien to us and don’t involve humans, which is what I think will be true about possible future powerful A.I.”

when Bing’s chatbot became unhinged and tried to break up my marriage, an A.I. researcher I know congratulated me on “glimpsing the Shoggoth.” A fellow A.I. journalist joked that when it came to fine-tuning Bing, Microsoft had forgotten to put on its smiley-face mask.

@TetraspaceWest, the meme’s creator, told me in a Twitter message that the Shoggoth “represents something that thinks in a way that humans don’t understand and that’s totally different from the way that humans think.”

In any case, the Shoggoth is a potent metaphor that encapsulates one of the most bizarre facts about the A.I. world, which is that many of the people working on this technology are somewhat mystified by their own creations. They don’t fully understand the inner workings of A.I. language models, how they acquire new capabilities or why they behave unpredictably at times. They aren’t totally sure if A.I. is going to be net-good or net-bad for the world.

That some A.I. insiders refer to their creations as Lovecraftian horrors, even as a joke, is unusual by historical standards. (Put it this way: Fifteen years ago, Mark Zuckerberg wasn’t going around comparing Facebook to Cthulhu.)

If it’s an A.I. safety researcher talking about the Shoggoth, maybe that person is passionate about preventing A.I. systems from displaying their true, Shoggoth-like nature.

A great many people are dismissive of suggestions that any of these systems are “really” thinking, because they’re “just” doing something banal (like making statistical predictions about the next word in a sentence). What they fail to appreciate is that there is every reason to suspect that human cognition is “just” doing those exact same things. It matters not that birds flap their wings but airliners don’t. Both fly. And these machines think. And, just as airliners fly faster and higher and farther than birds while carrying far more weight, these machines are already outthinking the majority of humans at the majority of tasks. Further, that machines aren’t perfect thinkers is about as relevant as the fact that air travel isn’t instantaneous. Now consider: we’re well past the Wright flyer level of thinking machine, past the early biplanes, somewhere about the first commercial airline level. Not quite the DC-10, I think. Can you imagine what the AI equivalent of a 777 will be like? Fasten your seatbelts.

@thomas h. You make my point perfectly. You’re observing that the way a plane flies — by using a turbine to generate thrust from combusting kerosene, for example — is nothing like the way that a bird flies, which is by using the energy from eating plant seeds to contract the muscles in its wings to make them flap. You are absolutely correct in that observation, but it’s also almost utterly irrelevant. And it ignores that, to a first approximation, there’s no difference in the physics you would use to describe a hawk riding a thermal and an airliner gliding (essentially) unpowered in its final descent to the runway. Further, you do yourself a grave disservice in being dismissive of the abilities of thinking machines, in exactly the same way that early skeptics have been dismissive of every new technology in all of human history. Writing would make people dumb; automobiles lacked the intelligence of horses; no computer could possibly beat a chess grandmaster because it can’t comprehend strategy; and on and on and on. Humans aren’t nearly as special as we fool ourselves into believing. If you want to have any hope of acting responsibly in the age of intelligent machines, you’ll have to accept that, like it or not, and whether or not it fits with your preconceived notions of what thinking is and how it is or should be done … machines can and do think, many of them better than you in a great many ways. b&

@BLA. You are incorrect. Everything has nature. Its nature is manifested in making humans react. Sure, no humans, no nature, but here we are. The writer and various sources are not attributing nature to AI so much as admitting that they don’t know what this nature might be, and there are reasons to be scared of it. More concerning to me is the idea that this field is resorting to geek culture reference points to explain and comprehend itself. It’s not so much the algorithm has no soul, but that the souls of the humans making it possible are stupendously and tragically underdeveloped.

When even tech companies are saying AI is moving too fast, and the articles land on page 1 of the NYT (there's an old reference), I think the greedy will not think twice about exploiting this technology, with no ethical considerations, at all.

@nome sane? The problem is it isn't data as we understand it. We know what the datasets are -- they were used to train the AI's. But once trained, the AI is thinking for itself, with results that have surprised everybody.

The unique feature of a shoggoth is it can become whatever is needed for a particular job. There's no actual shape so it's not a bad metaphor, if an imperfect image. Shoghoths also turned upon and destroyed their creators, so the cautionary metaphor is in there, too. A shame more Asimov wasn't baked into AI. But then the conflict about how to handle AI in relation to people was key to those stories, too.

Above all, the manual emphasized efficiency. Managers were told to answer DMs in less than five minutes, since users were coming to OnlyFans for immediate gratification and would go elsewhere if ignored. It encouraged the creation of keyboard shortcuts, so that managers could deploy an arsenal of rote sexual phrases with a few keystrokes, steering conversations toward the hard sell. It also outlined a series of strategies to boost engagement on the pages, including a gambit in which models would offer to rate a picture of a subscriber’s penis for a fee.

“Every page needs to have an established back story to make the person seem more believable,” it stated. OnlyFans works because people pay for a connection that feels deeper than porn. The document encouraged Ekko’s employees, called page managers, to identify “big spenders” who would part ways with more than $200 in short order, and cultivate a deep rapport by asking about their life and what they do for a living.

This can be extremely time-consuming: In an interview with this magazine last year, an OnlyFans creator said she spends six hours a day just sexting with subscribers. But these relationships are important to cultivate. In a blog post on its website, OnlyFans encourages creators to cater to their “superfans,” who pay for custom content and will “give more if they feel they’re getting something special.”

But all of them take advantage of the same raw materials: the endless reproducibility of digital images; the widespread global availability of cheap English-speaking labor; and the world’s unquenchable desire for companionship.

The key to this business model is the ready availability of cheap English-speaking labor around the globe. Job postings for OnlyFans chatters are widespread on freelance sites like Upwork, many offering as little as $3 an hour. Agency heads told me they’ve hired workers from Eastern Europe, Africa and all across Southeast Asia. “At the end of the day, it is a geo-arbitrage business,”

This phenomenon is part of a broader boom in homespun online businesses that connect cheap developing-world labor with American consumers, allowing the proprietor to step back and reap the profits

During his stint as a chatter, Andre has become intimately familiar with the quirks and desires of the subscribers. Over time, he’s learned something of a sex-work cliché: More than sexual gratification, he said, many of the guys just want someone to talk to