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simoneveale

Why We Remember So Many Things Wrong - The New Yorker - 1 views

  • Two and a half years after the event, she remembered it as if it were yesterday: the TV, the terrible news, the call home. She could say with absolute certainty that that’s precisely how it happened. Except, it turns out, none of what she remembered was accurate.
  • Neisser became fascinated by the concept of flashbulb memories—the times when a shocking, emotional event seems to leave a particularly vivid imprint on the mind.
  • Nicole Harsch, handed out a questionnaire about the event to the hundred and six students in their ten o’clock psychology 101 class, “Personality Development.” Where were the students when they heard the news? Whom were they with? What were they doing? The professor and his assistant carefully filed the responses away.
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  • two and a half years later, the questionnaire was given a second time to the same students.
  • It was then that R. T. recalled, with absolute confidence, her dorm-room experience.
  • She didn’t know any details of what had happened,
  • We don’t really remember an uneventful day the way that we remember a fight or a first kiss.
  • Her hope is to understand how, exactly, emotional memories behave at all stages of the remembering process: how we encode them, how we consolidate and store them, how we retrieve them.
  • When it comes to the central details of the event, like that the Challenger exploded, they are clearer and more accurate. But when it comes to peripheral details, they are worse. And our confidence in them, while almost always strong, is often misplaced.
  • Within the brain, memories are formed and consolidated largely due to the help of a small seahorse-like structure called the hippocampus; damage the hippocampus, and you damage the ability to form lasting recollections.
  • A key element of emotional-memory formation is the direct line of communication between the amygdala and the visual cortex.
  • Phelps has combined Neisser’s experiential approach with the neuroscience of emotional memory to explore how such memories work, and why they work the way they do.
  • Memory for the emotional scenes was significantly higher, and the vividness of the recollection was significantly greater.
  • hat is, if you were shocked when you saw animals, your memory of the earlier animals was also enhanced. And, more important, the effect only emerged after six or twenty-four hours: the memory needed time to consolidate.
  • o, if memory for events is strengthened at emotional times, why does everyone forget what they were doing when the Challenger exploded?
  • The strength of the central memory seems to make us confident of all of the details when we should only be confident of a few.
  • Our misplaced confidence in recalling dramatic events is troubling when we need to rely on a memory for something important—evidence in court, for instance
  • After reviewing the evidence, the committee made several concrete suggestions to changes in current procedures, including “blinded” eyewitness identification
  • standardized instructions to witnesses, along with extensive police training in vision and memory research as it relates to eyewitness testimony, videotaped identification, expert testimony early on in trials about the issues surrounding eyewitness reliability, and early and clear jury instruction on any prior identifications
Javier E

Why Police Lineups Will Never Be Perfect - The Atlantic - 1 views

  • Eyewitness testimony is hugely influential in criminal cases. And yet, brain research has shown again and again that human memory is unreliable: Every time a memory is recalled it becomes vulnerable to change. Confirming feedback—such as a detective telling a witness she “did great”—seems to distort memories, making them feel more accurate with each recollection. Since the start of the Innocence Project 318 cases have been overturned thanks to DNA testing. Eyewitness mistakes played a part in nearly three-quarters of them.
  • psychology researchers have been searching for ways to make eyewitness identifications more reliable. Many studies have shown, for example, the value of “double-blind” lineups, meaning that neither the cop administering the lineup nor the witness knows which of the photos, if any, is the suspect.
  • 160 page report offers many concrete suggestions for carrying out eyewitness identifications. For example, the Academy recommends using double-blind lineups and standardized witness instructions, and training law enforcement officials on the fallibility of eyewitness memory.
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  • In fact, Wells’s studies found that sequential lineups slashed the rate of false positives considerably. His first study showed a drop in incorrect accusations  43 to 17 percent. Sequential lineups also slightly increased the number of missed identifications
Javier E

The Science Behind 'They All Look Alike to Me' - The New York Times - 1 views

  • the “other-race effect,” a cognitive phenomenon that makes it harder for people of one race to readily recognize or identify individuals of another.
  • It is not bias or bigotry, the researchers say, that makes it difficult for people to distinguish between people of another race. It is the lack of early and meaningful exposure to other groups that often makes it easier for us to quickly identify and remember people of our own ethnicity or race while we often struggle to do the same for others.
  • That racially loaded phrase “they all look alike to me,” turns out to be largely scientifically accurate
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  • Psychologists say that starting when they are infants and young children, people become attuned to the key facial features and characteristics of the those around them. Whites often become accustomed to focusing on differences in hair color and eye color. African-Americans grow more familiar with subtle shadings of skin color.
  • Minorities tend to be better at cross-race identification than whites, Professor Meissner said, in part because they have more extensive and meaningful exposure to whites than the other way around.
  • Professor Malpass, who has trained police officers and border patrol agents, urges law enforcement agencies to make sure black or Hispanic officers are involved when creating lineups of black and Hispanic suspects. And he warns of the dangers of relying on cross-racial identifications from eyewitnesses, who can be fallible.
  • “I don’t think we should be offended,” he said. “This is really an ability issue.
huffem4

Trump Demands CNN Apologize For Poll - 1 views

  • “To my knowledge, this is the first time in its 40 year history that CNN had been threatened with legal action because an American politician or campaign did not like CNN’s polling results,” he wrote. “To the extent that we have received legal threats from political leaders in the past, they have typically come from countries like Venezuela or other regimes where there is little or no respect for a free and independent media.”
  • The idea, recycled by Republicans in every election cycle since at least 2012, is that Republicans are being under-sampled in the polls, artificially inflating the results in favor of the Democratic candidate.
  • The movement’s founding father, Dean Chambers, trumpeted the theory during the 2012 campaign, when former President Barack Obama was consistently leading Mitt Romney. Chambers decided that polls should be weighted by party identification — disregarding arguments that it’s a fungible metric, and that many voters change their identification from one election to the next — so he “unskewed” some national polls. And all of a sudden, Romney started winning.
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  • Besides the fact that it isn’t pollsters’ job to time their polls according to positive news for the President, the CNN poll was actually still in the field during the day Friday. CNN is standing by its poll, which shows Trump lagging behind Biden at 41 percent to 55.
Javier E

Scientists See Advances in Deep Learning, a Part of Artificial Intelligence - NYTimes.com - 1 views

  • Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of promising new molecules for designing drugs.
  • They offer the promise of machines that converse with humans and perform tasks like driving cars and working in factories, raising the specter of automated robots that could replace human workers.
  • what is new in recent months is the growing speed and accuracy of deep-learning programs, often called artificial neural networks or just “neural nets” for their resemblance to the neural connections in the brain.
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  • With greater accuracy, for example, marketers can comb large databases of consumer behavior to get more precise information on buying habits. And improvements in facial recognition are likely to make surveillance technology cheaper and more commonplace.
  • Modern artificial neural networks are composed of an array of software components, divided into inputs, hidden layers and outputs. The arrays can be “trained” by repeated exposures to recognize patterns like images or sounds.
  • “The point about this approach is that it scales beautifully. Basically you just need to keep making it bigger and faster, and it will get better. There’s no looking back now.”
aliciathompson1

The Politics of the Top 1 Percent - The New York Times - 0 views

  • For one, balance of party identification in this sample is very similar to what Gallup found: 58 percent of this sample identified as or lean Republican.  In several other ways, however, the political behavior of the top 1 percent diverges more strongly from the 99 percent than Gallup’s analysis suggests.
  • The 1 percent cares more about deficits than the economy.
  • The 1 percent wants private-sector solutions, not government solutions
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  • The 1 percent is vastly more politically active
  • Other scholars have found that, when the attitudes of the wealthy and less wealthy diverge, policy is much more in line with the attitudes of the wealthy.
  • These inequalities in political voice may then give rise to policies that perpetuate unequal outcomes.
grayton downing

Biofuel Mimicry | The Scientist Magazine® - 0 views

  • ants create the largest colonies of any ant, with some comprising 8 million individuals. To sustain themselves, they march across the forest carrying vast quantities of leaves, piece by piece, in great green convoys, back to the nest. The ants use the leaves as fertilizer to cultivate gardens sown with bacteria and Leucoagaricus gongylophorous, a fungus that produces fruiting bodies packed with nutrients for the ants to feast on.
  • could also provide a model for the more efficient production of renewable biofuels.
  • confirmed that 145 lignocellulases were actually present. “That’s pretty definitive proof that the fungus is the primary driver of biomass breakdown,
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  • offers new insights into the contributions made by the fungus to plant degradation
  • identification of enzymes capable of degrading lignocelluloses could also be a boon for the biofuels industry. Biofuel companies already use enzyme blends to break down starches from plant biomass, most commonly corn, into sugars to be fermented into ethanol. But the enzymes currently available can’t break down tough-to-degrade molecules such as lignocelluloses on an industrial scale.
  • idea is that the genes coding for these enzymes in the fungus gardens of leafcutter ants can be mass-produced in the lab by inserting them into E. coli or yeast, then used to break down feedstocks that require less land, fewer resources, and that don’t compete with food crops. “This is a highly evolved system, so the hypothesis is that the enzymes would be highly tuned to break down plant biomass,”
  • researchers will also need to take into account the role of bacteria. “It could be that bacteria are producing some enzymes that enhance the efficacy of the fungal enzymes,” says Aylward. “Integrating the bacterial component is likely to be important, because the synergism we see with leafcutter gardens is on the level of the entire symbiosis.”
Javier E

The exoneration of Kash Register and the problem of false eyewitness testimony. - 0 views

  • according to Brandon Garrett, a law professor at the University of Virginia and the author of Convicting the Innocent, eyewitness misidentifications have played a leading role in nearly 75 percent of 250 convictions overturned by DNA evidence between 1989 and 2010. In more than one-half of those exonerations, the eyewitnesses start off unsure, a “glaring sign” of potential trouble as Garrett puts it, yet appear to become increasingly certain over time. This often corresponds with police practices like suggestive photo arrays, lineups, and even well-intentioned comments like “Good job!” after a witness makes an identification, however tentative. All of this can cause “contamination” of memory, Garrett says so that “there is no way to know after the fact whether the eyewitness could have actually picked the person with any degree of confidence.”
Javier E

Never Forgetting a Face - NYTimes.com - 1 views

  • Face-matching today could enable mass surveillance, “basically robbing everyone of their anonymity,” he says, and inhibit people’s normal behavior outside their homes.
  • Dr. Atick says the technology he helped cultivate requires some special safeguards. Unlike fingerprinting or other biometric techniques, face recognition can be used at a distance, without people’s awareness; it could then link their faces and identities to the many pictures they have put online. But in the United States, no specific federal law governs face recognition.
  • Dr. Atick has been working behind the scenes to influence the outcome. He is part of a tradition of scientists who have come to feel responsible for what their work has wrought.
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  • Facebook researchers recently reported how the company had developed a powerful pattern-recognition system, called DeepFace, which had achieved near-human accuracy in identifying people’s faces.
  • To work, the technology needs a large data set, called an image gallery, containing the photographs or video stills of faces already identified by name. Software automatically converts the topography of each face in the gallery into a unique mathematical code, called a faceprint. Once people are faceprinted, they may be identified in existing or subsequent photographs or as they walk in front of a video camera.
  • some casinos faceprint visitors, seeking to identify repeat big-spending customers for special treatment. In Japan, a few grocery stores use face-matching to classify some shoppers as shoplifters or even “complainers” and blacklist them.
  • Is faceprinting as innocuous as photography, an activity that people may freely perform? Or is a faceprint a unique indicator, like a fingerprint or a DNA sequence, that should require a person’s active consent before it can be collected, matched, shared or sold?
  • A private high school in Los Angeles also has an FST system. The school uses the technology to recognize students when they arrive — a security measure intended to keep out unwanted interlopers. But it also serves to keep the students in line.“If a girl will come to school at 8:05, the door will not open and she will be registered as late,” Mr. Farkash explained. “So you can use the system not only for security but for education, for better discipline.”
  • As with many emerging technologies, the arguments tend to coalesce around two predictable poles: those who think the technology needs rules and regulation to prevent violations of civil liberties and those who fear that regulation would stifle innovation. But face recognition stands out among such technologies: While people can disable smartphone geolocation and other tracking techniques, they can’t turn off their faces.
  • To maintain the status quo around public anonymity, he says, companies should take a number of steps: They should post public notices where they use face recognition; seek permission from a consumer before collecting a faceprint with a unique, repeatable identifier like a name or code number; and use faceprints only for the specific purpose for which they have received permission. Those steps, he says, would inhibit sites, stores, apps and appliances from covertly linking a person in the real world with their multiple online personas.
summertyler

Is It Ordinary Memory Loss, or Alzheimer's Disease? - NYTimes.com - 0 views

  • worried about her memory, wondering if she could have the beginnings of dementia
  • no more difficulty than the rest of us her age in remembering events, names and places, her physician suggested that, given her level of concern, she should have things checked out
  • two days of tests of her cognitive abilities
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  • The result: reassurance and relief. Everything was in the normal range for her age, and she registered as superior on the ability to perform tasks and solve problems.
  • Simple tests done in eight to 12 minutes in a doctor’s office can determine whether memory issues are normal for one’s age or are problematic and warrant a more thorough evaluation.
  • more than half of older adults with signs of memory loss never see a doctor about it
  • “Early evaluation and identification of people with dementia may help them receive care earlier,”
  • “It can help families make plans for care, help with day-to-day tasks, including medication administration, and watch for future problems that can occur.”
  • Both tests measure orientation to time, date and place; attention and concentration; ability to calculate; memory; language; and conceptual thinking.
  • its score can be skewed by a person’s level of education, cultural background, a learning or speech disorder, and language fluency
  •  
    Memory loss is difficult to understand because of the many factors that affect it.
Javier E

Why Our Memory Fails Us - NYTimes.com - 1 views

  • how we all usually respond when our memory is challenged. We have an abstract understanding that people can remember the same event differently.
  • But when our own memories are challenged, we may neglect all this and instead respond emotionally, acting as though we must be right and everyone else must be wrong.
  • It’s no accident that Oprah Winfrey’s latest best seller is called “What I Know For Sure,” rather than “Some Things That Might Be True.”
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  • Our lack of appreciation for the fallibility of our own memories can lead to much bigger problems than a misattributed quote.
  • Memory failures that resemble Dr. Tyson’s mash-up of distinct experiences have led to false convictions, and even death sentences. Whose memories we believe and whose we disbelieve influence how we interpret controversial public events, as demonstrated most recently by the events in Ferguson, Mo.
  • , for false memories, higher confidence was associated with lower accuracy.
  • In general, if you have seen something before, your confidence that you have seen it and your accuracy in recalling it are linked: The more confident you are in your memory, the more likely you are to be right
  • . This fall the panel (which one of us, Daniel Simons, served on) released a comprehensive report that recommended procedures to minimize the chances of false memory and mistaken identification, including videotaping police lineups and improving jury instructions.
  • When we recall our own memories, we are not extracting a perfect record of our experiences and playing it back verbatim. Most people believe that memory works this way, but it doesn’t. Instead, we are effectively whispering a message from our past to our present, reconstructing it on the fly each time. We get a lot of details right, but when our memories change, we only “hear” the most recent version of the message, and we may assume that what we believe now is what we always believed.
  • Studies find that even our “flashbulb memories” of emotionally charged events can be distorted and inaccurate, but we cling to them with the greatest of confidence.
  • With each retrieval our memories can morph, and so can our confidence in them. This is why the National Academy of Sciences report strongly advised courts to rely on initial statements rather than courtroom proclamations:
  • In fact, the mere act of describing a person’s appearance can change how likely you are to pick him out of a lineup later. This finding, known as “verbal overshadowing,” had been controversial, but was recently verified in a collective effort by more than 30 separate research labs.
  • The science of memory distortion has become rigorous and reliable enough to help guide public policy. It should also guide our personal attitudes and actions.
  • It is just as misguided to conclude that someone who misremembers must be lying as it is to defend a false memory in the face of contradictory evidence. We should be more understanding of mistakes by others, and credit them when they admit they were wrong. We are all fabulists, and we must all get used to it.
  • Subliminal is a good book on this subject, as is Thinking, Fast and Slow. It is not merely that our memory is a game of telephone in which we garble the memory as we retrieve and re-store it. It appears to be a very useful part of existence, which has stayed with us or gotten stronger with evolution. There seems to be utility in forgetting, misremembering, and having memories coalesce with those of others in our social groups.
Javier E

When No One Is Just a Face in the Crowd - NYTimes.com - 0 views

  • Facial recognition technology, already employed by some retail stores to spot and thwart shoplifters, may soon be used to identify and track the freest spenders in the aisles.
  • And companies like FaceFirst, in Camarillo, Calif., hope to soon complement their shoplifter-identification services with parallel programs to help retailers recognize customers eligible for special treatmen
  • . “Instantly, when a person in your FaceFirst database steps into one of your stores, you are sent an email, text or SMS alert that includes their picture and all biographical information of the known individual so you can take immediate and appropriate action.”
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  • Because facial recognition can be used covertly to identify and track people by name at a distance, some civil liberties experts call it unequivocally intrusive. In view of intelligence documents made public by Edward J. Snowden, they also warn that once companies get access to such data, the government could, too. “This is you as an individual being monitored over time and your movements and habits being recorded,”
  • facial recognition may soon let companies link a person’s online persona with his or her actual offline self at a specific public location. That could seriously threaten our ability to remain anonymous in public.
  • industry and consumer advocates will have to contend with nascent facial-recognition apps like NameTag; it is designed to allow a user to scan photographs of strangers, then see information about them — like their occupations or social-network profiles.
Javier E

Science and the Left - By Yuval Levin - The Corner - National Review Online - 0 views

  • There are some fascinating and important tensions between science and the right, but they have basically nothing to do with the left’s “war on science” fantasies
  • It is interesting, rather, for what it tells you about the left and its self-understanding
  • Absent from that self-identification is any sense of the enormous tensions between the ethic of modern science and that of the modern left—particularly the tensions between science and the left’s brand of egalitarianism (the first of which demolishes the premises upon which the second stands), and between science and environmentalism (which draw upon roughly opposite worldviews).
Javier E

Specs that see right through you - tech - 05 July 2011 - New Scientist - 0 views

  • a number of "social X-ray specs" that are set to transform how we interact with each other. By sensing emotions that we would otherwise miss, these technologies can thwart disastrous social gaffes and help us understand each other better.
  • In conversation, we pantomime certain emotions that act as social lubricants. We unconsciously nod to signal that we are following the other person's train of thought, for example, or squint a bit to indicate that we are losing track. Many of these signals can be misinterpreted - sometimes because different cultures have their own specific signals.
  • n 2005, she enlisted Simon Baron-Cohen, also at Cambridge, to help her identify a set of more relevant emotional facial states. They settled on six: thinking, agreeing, concentrating, interested - and, of course, the confused and disagreeing expressions
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  • More often, we fail to spot them altogether. D
  • To create this lexicon, they hired actors to mime the expressions, then asked volunteers to describe their meaning, taking the majority response as the accurate one.
  • The camera tracks 24 "feature points" on your conversation partner's face, and software developed by Picard analyses their myriad micro-expressions, how often they appear and for how long. It then compares that data with its bank of known expressions (see diagram).
  • Eventually, she thinks the system could be incorporated into a pair of augmented-reality glasses, which would overlay computer graphics onto the scene in front of the wearer.
  • the average person only managed to interpret, correctly, 54 per cent of Baron-Cohen's expressions on real, non-acted faces. This suggested to them that most people - not just those with autism - could use some help sensing the mood of people they are talking to.
  • set up a company called Affectiva, based in Waltham, Massachusetts, which is selling their expression recognition software. Their customers include companies that, for example, want to measure how people feel about their adverts or movie.
  • it's hard to fool the machine for long
  • In addition to facial expressions, we radiate a panoply of involuntary "honest signals", a term identified by MIT Media Lab researcher Alex Pentland in the early 2000s to describe the social signals that we use to augment our language. They include body language such as gesture mirroring, and cues such as variations in the tone and pitch of the voice. We do respond to these cues, but often not consciously. If we were more aware of them in others and ourselves, then we would have a fuller picture of the social reality around us, and be able to react more deliberately.
  • develop a small electronic badge that hangs around the neck. Its audio sensors record how aggressive the wearer is being, the pitch, volume and clip of their voice, and other factors. They called it the "jerk-o-meter".
  • it helped people realise when they were being either obnoxious or unduly self-effacing.
  • y the end of the experiment, all the dots had gravitated towards more or less the same size and colour. Simply being able to see their role in a group made people behave differently, and caused the group dynamics to become more even. The entire group's emotional intelligence had increased (
  • Some of our body's responses during a conversation are not designed for broadcast to another person - but it's possible to monitor those too. Your temperature and skin conductance can also reveal secrets about your emotional state, and Picard can tap them with a glove-like device called the Q Sensor. In response to stresses, good or bad, our skin becomes clammy, increasing its conductance, and the Q Sensor picks this up.
  • Physiological responses can now even be tracked remotely, in principle without your consent. Last year, Picard and one of her graduate students showed that it was possible to measure heart rate without any surface contact with the body. They used software linked to an ordinary webcam to read information about heart rate, blood pressure and skin temperature based on, among other things, colour changes in the subject's face
  • In Rio de Janeiro and Sao Paolo, police officers can decide whether someone is a criminal just by looking at them. Their glasses scan the features of a face, and match them against a database of criminal mugshots. A red light blinks if there's a match.
  • Thad Starner at Georgia Institute of Technology in Atlanta wears a small device he has built that looks like a monocle. It can retrieve video, audio or text snippets of past conversations with people he has spoken with, and even provide real-time links between past chats and topics he is currently discussing.
  • The US military has built a radar-imaging device that can see through walls to capture 3D images of people and objects beyond.
Javier E

How the Disney Animated Film 'Frozen' Took Over the World : The New Yorker - 1 views

  • In the end, though, Litman concluded, the findings were complicated: these factors could largely tell a dog from a general success, but they couldn’t predict the true runaway sensations.
  • few things continued to stand out: story and social influence. The most important figure in determining ultimate creative success, Simonton found, was the writer. “We can learn a great deal about what makes a successful film just by focusing on the quality of the screenplay,” he declared. Still, as he’d found earlier, quality did not always translate to quantity
  • And the thing that could potentially be even more, or at least equally, predictive wasn’t easy to quantify: so-called information cascades (basically, a snowball effect) that result from word-of-mouth dynamics.
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  • “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.
Javier E

The Amazing Trump-Wingnut Policy Conveyor Belt - 0 views

  • Over the course of just a few days Donald Trump has gone from saying that we might have to close down mosques and create a Muslim registry to saying that not only will we do this but we have to do it and anything less is an utter capitulation.
  • In other words, rapidly evolving from refusing to rule out a draconian policy to affirmatively endorsing it to being its leading advocate.
  • With his Muslim ID card and database, Wednesday he said he wouldn't rule out creating such a system. By the end of the day he was telling NBC News he would "absolutely" create such a system.
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  • just as we saw in the summer with immigration writ large, the progression doesn't end with Trump. We've had three presidential elections since the 9/11 terror attacks and no presidential candidate has ever proposed shutting down mosques in the United States or creating a special registry and identification cards for Muslims living in the United States.
  • So yesterday Megyn Kelly asked Marco Rubio whether he'd shut down radical mosques like Trump. He tried to deflect the question by saying that it wasn't about mosques but closing down any facility that was promoting radicalism. In other words, Rubio, while clearly not eager to answer the question, pointedly refused to rule out following Trump's lead.
  • It is a very good example of how Trump is not only shaping the debate on the right but rapidly mainstreaming ideas that were as recently as a week ago considered entirely outside the realm of mainstream political discourse.
  • It's particularly effective with the less sophisticated and principled candidates like Rubio. Jeb Bush said flatly this morning that Trump's database proposal is "just wrong." But Ben Carson quickly took Trump's lead comparing Syrian refugees to "mad dogs." The difference is that Marco Rubio could very well be president in 18 months. Jeb Bush won't be.
  • this is no longer a matter of Trump yakking on about building a gilded 100-foot wall along the southern border and having Mexico agree to pay for it. Trump is now proposing things that sound like they put millions of American citizens and resident aliens on a road to something like the internment of Japanese Americans during World War II.
Javier E

Noam Chomsky on Where Artificial Intelligence Went Wrong - Yarden Katz - The Atlantic - 1 views

  • Skinner's approach stressed the historical associations between a stimulus and the animal's response -- an approach easily framed as a kind of empirical statistical analysis, predicting the future as a function of the past.
  • Chomsky's conception of language, on the other hand, stressed the complexity of internal representations, encoded in the genome, and their maturation in light of the right data into a sophisticated computational system, one that cannot be usefully broken down into a set of associations.
  • Chomsky acknowledged that the statistical approach might have practical value, just as in the example of a useful search engine, and is enabled by the advent of fast computers capable of processing massive data. But as far as a science goes, Chomsky would argue it is inadequate, or more harshly, kind of shallow
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  • David Marr, a neuroscientist colleague of Chomsky's at MIT, defined a general framework for studying complex biological systems (like the brain) in his influential book Vision,
  • a complex biological system can be understood at three distinct levels. The first level ("computational level") describes the input and output to the system, which define the task the system is performing. In the case of the visual system, the input might be the image projected on our retina and the output might our brain's identification of the objects present in the image we had observed. The second level ("algorithmic level") describes the procedure by which an input is converted to an output, i.e. how the image on our retina can be processed to achieve the task described by the computational level. Finally, the third level ("implementation level") describes how our own biological hardware of cells implements the procedure described by the algorithmic level.
  • The emphasis here is on the internal structure of the system that enables it to perform a task, rather than on external association between past behavior of the system and the environment. The goal is to dig into the "black box" that drives the system and describe its inner workings, much like how a computer scientist would explain how a cleverly designed piece of software works and how it can be executed on a desktop computer.
  • As written today, the history of cognitive science is a story of the unequivocal triumph of an essentially Chomskyian approach over Skinner's behaviorist paradigm -- an achievement commonly referred to as the "cognitive revolution,"
  • While this may be a relatively accurate depiction in cognitive science and psychology, behaviorist thinking is far from dead in related disciplines. Behaviorist experimental paradigms and associationist explanations for animal behavior are used routinely by neuroscientists
  • Chomsky critiqued the field of AI for adopting an approach reminiscent of behaviorism, except in more modern, computationally sophisticated form. Chomsky argued that the field's heavy use of statistical techniques to pick regularities in masses of data is unlikely to yield the explanatory insight that science ought to offer. For Chomsky, the "new AI" -- focused on using statistical learning techniques to better mine and predict data -- is unlikely to yield general principles about the nature of intelligent beings or about cognition.
  • Behaviorist principles of associations could not explain the richness of linguistic knowledge, our endlessly creative use of it, or how quickly children acquire it with only minimal and imperfect exposure to language presented by their environment.
  • it has been argued in my view rather plausibly, though neuroscientists don't like it -- that neuroscience for the last couple hundred years has been on the wrong track.
  • Implicit in this endeavor is the assumption that with enough sophisticated statistical tools and a large enough collection of data, signals of interest can be weeded it out from the noise in large and poorly understood biological systems.
  • Brenner, a contemporary of Chomsky who also participated in the same symposium on AI, was equally skeptical about new systems approaches to understanding the brain. When describing an up-and-coming systems approach to mapping brain circuits called Connectomics, which seeks to map the wiring of all neurons in the brain (i.e. diagramming which nerve cells are connected to others), Brenner called it a "form of insanity."
  • These debates raise an old and general question in the philosophy of science: What makes a satisfying scientific theory or explanation, and how ought success be defined for science?
  • Ever since Isaiah Berlin's famous essay, it has become a favorite pastime of academics to place various thinkers and scientists on the "Hedgehog-Fox" continuum: the Hedgehog, a meticulous and specialized worker, driven by incremental progress in a clearly defined field versus the Fox, a flashier, ideas-driven thinker who jumps from question to question, ignoring field boundaries and applying his or her skills where they seem applicable.
  • Chomsky's work has had tremendous influence on a variety of fields outside his own, including computer science and philosophy, and he has not shied away from discussing and critiquing the influence of these ideas, making him a particularly interesting person to interview.
  • If you take a look at the progress of science, the sciences are kind of a continuum, but they're broken up into fields. The greatest progress is in the sciences that study the simplest systems. So take, say physics -- greatest progress there. But one of the reasons is that the physicists have an advantage that no other branch of sciences has. If something gets too complicated, they hand it to someone else.
  • If a molecule is too big, you give it to the chemists. The chemists, for them, if the molecule is too big or the system gets too big, you give it to the biologists. And if it gets too big for them, they give it to the psychologists, and finally it ends up in the hands of the literary critic, and so on.
  • An unlikely pair, systems biology and artificial intelligence both face the same fundamental task of reverse-engineering a highly complex system whose inner workings are largely a mystery
  • neuroscience developed kind of enthralled to associationism and related views of the way humans and animals work. And as a result they've been looking for things that have the properties of associationist psychology.
Javier E

Early Facebook and Google Employees Form Coalition to Fight What They Built - The New Y... - 0 views

  • A group of Silicon Valley technologists who were early employees at Facebook and Google, alarmed over the ill effects of social networks and smartphones, are banding together to challenge the companies they helped build.
  • The campaign, titled The Truth About Tech, will be funded with $7 million from Common Sense and capital raised by the Center for Humane Technology. Common Sense also has $50 million in donated media and airtime
  • . It will be aimed at educating students, parents and teachers about the dangers of technology, including the depression that can come from heavy use of social media.
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  • Chamath Palihapitiya, a venture capitalist who was an early employee at Facebook, said in November that the social network was “ripping apart the social fabric of how society works.”
  • The new Center for Humane Technology includes an unprecedented alliance of former employees of some of today’s biggest tech companies. Apart from Mr. Harris, the center includes Sandy Parakilas, a former Facebook operations manager; Lynn Fox, a former Apple and Google communications executive; Dave Morin, a former Facebook executive; Justin Rosenstein, who created Facebook’s Like button and is a co-founder of Asana; Roger McNamee, an early investor in Facebook; and Renée DiResta, a technologist who studies bots.
  • Its first project to reform the industry will be to introduce a Ledger of Harms — a website aimed at guiding rank-and-file engineers who are concerned about what they are being asked to build. The site will include data on the health effects of different technologies and ways to make products that are healthier
  • “Facebook appeals to your lizard brain — primarily fear and anger,” he said. “And with smartphones, they’ve got you for every waking moment.”
  • Apple’s chief executive, Timothy D. Cook, told The Guardian last month that he would not let his nephew on social media, while the Facebook investor Sean Parker also recently said of the social network that “God only knows what it’s doing to our children’s brains.”Mr. Steyer said, “You see a degree of hypocrisy with all these guys in Silicon Valley.”
  • The new group also plans to begin lobbying for laws to curtail the power of big tech companies. It will initially focus on two pieces of legislation: a bill being introduced by Senator Edward J. Markey, Democrat of Massachusetts, that would commission research on technology’s impact on children’s health, and a bill in California by State Senator Bob Hertzberg, a Democrat, which would prohibit the use of digital bots without identification.
  • Mr. McNamee said he had joined the Center for Humane Technology because he was horrified by what he had helped enable as an early Facebook investor.
  • Truth About Tech campaign was modeled on antismoking drives and focused on children because of their vulnerability.
  • He said the people who made these products could stop them before they did more harm.
caelengrubb

The Economics of Bitcoin - Econlib - 0 views

  • Bitcoin is an ingenious peer-to-peer “virtual” or “digital currency” that challenges the way economists have traditionally thought about money.
  • My conclusion is that, in principle, nothing stands in the way of the whole world embracing Bitcoin or some other digital currency. Yet I predict that, even with the alternative of Bitcoin, people would resort to gold if only governments got out of the way.
  • According to its official website: “Bitcoin uses peer-to-peer technology to operate with no central authority; managing transactions and the issuing of bitcoins is carried out collectively by the network.”
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  • To fully understand how Bitcoin operates, one would need to learn the subtleties of public-key cryptography.
  • In the real world, when people want to buy something using Bitcoin, they transfer their ownership of a certain number of bitcoins to other people, in exchange for goods and services.
  • This transfer is effected by the network of computers performing computations and thereby changing the “public key” to which the “sold” bitcoins are assigned.
  • The encryption involved in Bitcoin concerns the identification of the legitimate owner of a particular bitcoin.
  • Without delving into the mathematics, suffice it to say: There is a way that the legitimate owner of a bitcoin can publicly demonstrate to the computers in the network that he or she really is the owner of that bitcoin.
  • Only someone with the possession of the “private key” will be able to produce a valid “signature” that convinces the computers in the network to update the public ledger to reflect the transfer of the bitcoin to another party.
  • When Bitcoin was first implemented in early 2009, computers in the network—dubbed “miners”—received 50 new bitcoins when performing the computations necessary to add a “block” of transactions to the public ledger.
  • In principle, the developers of Bitcoin could have released all 21 million units of the currency immediately with the software.
  • With the current arrangement—where the “mining” operations needed to keep the system running simultaneously yield new bitcoins to the machines performing the calculations—there is an incentive for owners to devote their machines’ processing power to the network.
  • Here, the danger is that the issuing institution—once it had gotten the world to accept its notes or electronic deposits as money—would face an irresistible temptation to issue massive quantities.6
  • Bitcoin has no such vulnerability. No external technological or physical event could cause Bitcoin inflation, and since no one is in charge of Bitcoin, there is no one tempted to inflate “from within.”
  • Some critics argue that Bitcoin’s fixed quantity would imply constant price deflation. Although this is true, everyone will have seen this coming with more than a century’s notice, and so long-term contracts would have been designed accordingly.
  • Whether to call Bitcoin a “fiat” currency depends on the definition. If “fiat” means a currency that is not legally redeemable in some other commodity, then yes, Bitcoin is a fiat currency. But if “fiat” means a currency relying on government fiat to define what will count as legal money, then Bitcoin is not.
  • Bitcoin is an ingenious concept that challenges the way economists have traditionally thought about money. Its inbuilt scarcity provides an assurance of purchasing power arguably safer than any other system yet conceived.
  • We need to let the decentralized market test tell us what is the best money, or monies.
caelengrubb

Looking inward in an era of 'fake news': Addressing cognitive bias | YLAI Network - 0 views

  • In an era when everyone seems eager to point out instances of “fake news,” it is easy to forget that knowing how we make sense of the news is as important as knowing how to spot incorrect or biased content
  • While the ability to analyze the credibility of a source and the veracity of its content remains an essential and often-discussed aspect of news literacy, it is equally important to understand how we as news consumers engage with and react to the information we find online, in our feeds, and on our apps
  • People process information they receive from the news in the same way they process all information around them — in the shortest, quickest way possible
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  • When we consider how we engage with the news, some shortcuts we may want to pay close attention to, and reflect carefully on, are cognitive biases.
  • In fact, without these heuristics, it would be impossible for us to process all the information we receive daily. However, the use of these shortcuts can lead to “blind spots,” or unintentional ways we respond to information that can have negative consequences for how we engage with, digest, and share the information we encounter
  • These shortcuts, also called heuristics, streamline our problem-solving process and help us make relatively quick decisions.
  • Confirmation bias is the tendency to seek out and value information that confirms our pre-existing beliefs while discarding information that proves our ideas wrong.
  • Cognitive biases are best described as glitches in how we process information
  • Echo chamber effect refers to a situation in which we are primarily exposed to information, people, events, and ideas that already align with our point of view.
  • Anchoring bias, also known as “anchoring,” refers to people’s tendency to consider the first piece of information they receive about a topic as the most reliable
  • The framing effect is what happens when we make decisions based on how information is presented or discussed, rather than its actual substance.
  • Fluency heuristic occurs when a piece of information is deemed more valuable because it is easier to process or recall
  • Everyone operates under one or more cognitive biases. So, when searching for and reading the news (or other information), it is important to be aware of how these biases might shape how we make sense of this information.
  • In conclusion, we may not be able to control the content of the news — whether it is fake, reliable, or somewhere in between — but we can learn to be aware of how we respond to it and adjust our evaluations of the news accordingly.
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