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Donald Trump's 'bunker' story tells you everything you need to know about him - CNNPoli... - 0 views

  • "Well it was a false report. I was down during the day and I was there for a tiny, little short period of time. And it was much more for an inspection. There was no problem during the day."
  • "I've gone down two or three times, all for inspection. And, you go there, some day you may need it. I went down. I looked at it. It was during the day, and it was not a problem. And I read about it, in like, a big thing. There was never a problem ... nobody ever came close to giving us a problem."
  • This re-framing of history is remarkable solely for the gall it takes to attempt it. After all, every single major media organization reported over the weekend -- with NO pushback from the White House -- that Trump had been taken into the bunker for his own protection, not to, uh, "inspect" it.
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  • "As protesters gathered outside the White House Friday night in Washington, DC, President Donald Trump was briefly taken to the underground bunker for a period of time, according to a White House official and a law enforcement source.
  • "A law enforcement source and another source familiar with the matter tell CNN that first lady Melania Trump and their son, Barron, were also taken to the bunker.
  • So, why would Trump describe it falsely to Fox? Especially when there are a few other things going on in the country -- most notably ongoing protests over the murder of a black man at the hands of police in Minneapolis and a global pandemic that has killed 106,000 Americans and is projected to kill 135,000 by early August.
  • There is nothing Trump hates more than weakness. And the image of him cowering in an underground bunker while protesters stood outside the gates of the White House is simply not something he cannot accept. This is a man who has been telling himself a story of his life -- one in which he is always the toughest, the smartest and the winner-est -- for, well, his entire adult life.
  • He could have gone anytime, of course! It was just a coincidence he was down there amid the protests outside the White House! Just going down to make sure all the buttons worked! All the brass was sufficiently polished! And the like.
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Quantum Computing Advance Begins New Era, IBM Says - The New York Times - 0 views

  • While researchers at Google in 2019 claimed that they had achieved “quantum supremacy” — a task performed much more quickly on a quantum computer than a conventional one — IBM’s researchers say they have achieved something new and more useful, albeit more modestly named.
  • “We’re entering this phase of quantum computing that I call utility,” said Jay Gambetta, a vice president of IBM Quantum. “The era of utility.”
  • Present-day computers are called digital, or classical, because they deal with bits of information that are either 1 or 0, on or off. A quantum computer performs calculations on quantum bits, or qubits, that capture a more complex state of information. Just as a thought experiment by the physicist Erwin Schrödinger postulated that a cat could be in a quantum state that is both dead and alive, a qubit can be both 1 and 0 simultaneously.
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  • That allows quantum computers to make many calculations in one pass, while digital ones have to perform each calculation separately. By speeding up computation, quantum computers could potentially solve big, complex problems in fields like chemistry and materials science that are out of reach today.
  • When Google researchers made their supremacy claim in 2019, they said their quantum computer performed a calculation in 3 minutes 20 seconds that would take about 10,000 years on a state-of-the-art conventional supercomputer.
  • The IBM researchers in the new study performed a different task, one that interests physicists. They used a quantum processor with 127 qubits to simulate the behavior of 127 atom-scale bar magnets — tiny enough to be governed by the spooky rules of quantum mechanics — in a magnetic field. That is a simple system known as the Ising model, which is often used to study magnetism.
  • This problem is too complex for a precise answer to be calculated even on the largest, fastest supercomputers.
  • On the quantum computer, the calculation took less than a thousandth of a second to complete. Each quantum calculation was unreliable — fluctuations of quantum noise inevitably intrude and induce errors — but each calculation was quick, so it could be performed repeatedly.
  • Indeed, for many of the calculations, additional noise was deliberately added, making the answers even more unreliable. But by varying the amount of noise, the researchers could tease out the specific characteristics of the noise and its effects at each step of the calculation.“We can amplify the noise very precisely, and then we can rerun that same circuit,” said Abhinav Kandala, the manager of quantum capabilities and demonstrations at IBM Quantum and an author of the Nature paper. “And once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise.”In essence, the researchers were able to subtract the effects of noise from the unreliable quantum calculations, a process they call error mitigation.
  • Altogether, the computer performed the calculation 600,000 times, converging on an answer for the overall magnetization produced by the 127 bar magnets.
  • Although an Ising model with 127 bar magnets is too big, with far too many possible configurations, to fit in a conventional computer, classical algorithms can produce approximate answers, a technique similar to how compression in JPEG images throws away less crucial data to reduce the size of the file while preserving most of the image’s details
  • Certain configurations of the Ising model can be solved exactly, and both the classical and quantum algorithms agreed on the simpler examples. For more complex but solvable instances, the quantum and classical algorithms produced different answers, and it was the quantum one that was correct.
  • Thus, for other cases where the quantum and classical calculations diverged and no exact solutions are known, “there is reason to believe that the quantum result is more accurate,”
  • Mr. Anand is currently trying to add a version of error mitigation for the classical algorithm, and it is possible that could match or surpass the performance of the quantum calculations.
  • In the long run, quantum scientists expect that a different approach, error correction, will be able to detect and correct calculation mistakes, and that will open the door for quantum computers to speed ahead for many uses.
  • Error correction is already used in conventional computers and data transmission to fix garbles. But for quantum computers, error correction is likely years away, requiring better processors able to process many more qubits
  • “This is one of the simplest natural science problems that exists,” Dr. Gambetta said. “So it’s a good one to start with. But now the question is, how do you generalize it and go to more interesting natural science problems?”
  • Those might include figuring out the properties of exotic materials, accelerating drug discovery and modeling fusion reactions.
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Whistleblower: Twitter misled investors, FTC and underplayed spam issues - Washington Post - 0 views

  • Twitter executives deceived federal regulators and the company’s own board of directors about “extreme, egregious deficiencies” in its defenses against hackers, as well as its meager efforts to fight spam, according to an explosive whistleblower complaint from its former security chief.
  • “Security and privacy have long been top companywide priorities at Twitter,” said Twitter spokeswoman Rebecca Hahn. She said that Zatko’s allegations appeared to be “riddled with inaccuracies” and that Zatko “now appears to be opportunistically seeking to inflict harm on Twitter, its customers, and its shareholders.” Hahn said that Twitter fired Zatko after 15 months “for poor performance and leadership.” Attorneys for Zatko confirmed he was fired but denied it was for performance or leadership.
  • Among the most serious accusations in the complaint, a copy of which was obtained by The Washington Post, is that Twitter violated the terms of an 11-year-old settlement with the Federal Trade Commission by falsely claiming that it had a solid security plan. Zatko’s complaint alleges he had warned colleagues that half the company’s servers were running out-of-date and vulnerable software and that executives withheld dire facts about the number of breaches and lack of protection for user data, instead presenting directors with rosy charts measuring unimportant changes.
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  • The complaint — filed last month with the Securities and Exchange Commission and the Department of Justice, as well as the FTC — says thousands of employees still had wide-ranging and poorly tracked internal access to core company software, a situation that for years had led to embarrassing hacks, including the commandeering of accounts held by such high-profile users as Elon Musk and former presidents Barack Obama and Donald Trump.
  • the whistleblower document alleges the company prioritized user growth over reducing spam, though unwanted content made the user experience worse. Executives stood to win individual bonuses of as much as $10 million tied to increases in daily users, the complaint asserts, and nothing explicitly for cutting spam.
  • Chief executive Parag Agrawal was “lying” when he tweeted in May that the company was “strongly incentivized to detect and remove as much spam as we possibly can,” the complaint alleges.
  • Zatko described his decision to go public as an extension of his previous work exposing flaws in specific pieces of software and broader systemic failings in cybersecurity. He was hired at Twitter by former CEO Jack Dorsey in late 2020 after a major hack of the company’s systems.
  • “I felt ethically bound. This is not a light step to take,” said Zatko, who was fired by Agrawal in January. He declined to discuss what happened at Twitter, except to stand by the formal complaint. Under SEC whistleblower rules, he is entitled to legal protection against retaliation, as well as potential monetary rewards.
  • The complaint from former head of security Peiter Zatko, a widely admired hacker known as “Mudge,” depicts Twitter as a chaotic and rudderless company beset by infighting, unable to properly protect its 238 million daily users including government agencies, heads of state and other influential public figures.
  • A person familiar with Zatko’s tenure said the company investigated Zatko’s security claims during his time there and concluded they were sensationalistic and without merit. Four people familiar with Twitter’s efforts to fight spam said the company deploys extensive manual and automated tools to both measure the extent of spam across the service and reduce it.
  • Overall, Zatko wrote in a February analysis for the company attached as an exhibit to the SEC complaint, “Twitter is grossly negligent in several areas of information security. If these problems are not corrected, regulators, media and users of the platform will be shocked when they inevitably learn about Twitter’s severe lack of security basics.”
  • Zatko’s complaint says strong security should have been much more important to Twitter, which holds vast amounts of sensitive personal data about users. Twitter has the email addresses and phone numbers of many public figures, as well as dissidents who communicate over the service at great personal risk.
  • This month, an ex-Twitter employee was convicted of using his position at the company to spy on Saudi dissidents and government critics, passing their information to a close aide of Crown Prince Mohammed bin Salman in exchange for cash and gifts.
  • Zatko’s complaint says he believed the Indian government had forced Twitter to put one of its agents on the payroll, with access to user data at a time of intense protests in the country. The complaint said supporting information for that claim has gone to the National Security Division of the Justice Department and the Senate Select Committee on Intelligence. Another person familiar with the matter agreed that the employee was probably an agent.
  • “Take a tech platform that collects massive amounts of user data, combine it with what appears to be an incredibly weak security infrastructure and infuse it with foreign state actors with an agenda, and you’ve got a recipe for disaster,” Charles E. Grassley (R-Iowa), the top Republican on the Senate Judiciary Committee,
  • Many government leaders and other trusted voices use Twitter to spread important messages quickly, so a hijacked account could drive panic or violence. In 2013, a captured Associated Press handle falsely tweeted about explosions at the White House, sending the Dow Jones industrial average briefly plunging more than 140 points.
  • After a teenager managed to hijack the verified accounts of Obama, then-candidate Joe Biden, Musk and others in 2020, Twitter’s chief executive at the time, Jack Dorsey, asked Zatko to join him, saying that he could help the world by fixing Twitter’s security and improving the public conversation, Zatko asserts in the complaint.
  • In 1998, Zatko had testified to Congress that the internet was so fragile that he and others could take it down with a half-hour of concentrated effort. He later served as the head of cyber grants at the Defense Advanced Research Projects Agency, the Pentagon innovation unit that had backed the internet’s invention.
  • But at Twitter Zatko encountered problems more widespread than he realized and leadership that didn’t act on his concerns, according to the complaint.
  • Twitter’s difficulties with weak security stretches back more than a decade before Zatko’s arrival at the company in November 2020. In a pair of 2009 incidents, hackers gained administrative control of the social network, allowing them to reset passwords and access user data. In the first, beginning around January of that year, hackers sent tweets from the accounts of high-profile users, including Fox News and Obama.
  • Several months later, a hacker was able to guess an employee’s administrative password after gaining access to similar passwords in their personal email account. That hacker was able to reset at least one user’s password and obtain private information about any Twitter user.
  • Twitter continued to suffer high-profile hacks and security violations, including in 2017, when a contract worker briefly took over Trump’s account, and in the 2020 hack, in which a Florida teen tricked Twitter employees and won access to verified accounts. Twitter then said it put additional safeguards in place.
  • This year, the Justice Department accused Twitter of asking users for their phone numbers in the name of increased security, then using the numbers for marketing. Twitter agreed to pay a $150 million fine for allegedly breaking the 2011 order, which barred the company from making misrepresentations about the security of personal data.
  • After Zatko joined the company, he found it had made little progress since the 2011 settlement, the complaint says. The complaint alleges that he was able to reduce the backlog of safety cases, including harassment and threats, from 1 million to 200,000, add staff and push to measure results.
  • But Zatko saw major gaps in what the company was doing to satisfy its obligations to the FTC, according to the complaint. In Zatko’s interpretation, according to the complaint, the 2011 order required Twitter to implement a Software Development Life Cycle program, a standard process for making sure new code is free of dangerous bugs. The complaint alleges that other employees had been telling the board and the FTC that they were making progress in rolling out that program to Twitter’s systems. But Zatko alleges that he discovered that it had been sent to only a tenth of the company’s projects, and even then treated as optional.
  • “If all of that is true, I don’t think there’s any doubt that there are order violations,” Vladeck, who is now a Georgetown Law professor, said in an interview. “It is possible that the kinds of problems that Twitter faced eleven years ago are still running through the company.”
  • The complaint also alleges that Zatko warned the board early in his tenure that overlapping outages in the company’s data centers could leave it unable to correctly restart its servers. That could have left the service down for months, or even have caused all of its data to be lost. That came close to happening in 2021, when an “impending catastrophic” crisis threatened the platform’s survival before engineers were able to save the day, the complaint says, without providing further details.
  • One current and one former employee recalled that incident, when failures at two Twitter data centers drove concerns that the service could have collapsed for an extended period. “I wondered if the company would exist in a few days,” one of them said.
  • The current and former employees also agreed with the complaint’s assertion that past reports to various privacy regulators were “misleading at best.”
  • The four people familiar with Twitter’s spam and bot efforts said the engineering and integrity teams run software that samples thousands of tweets per day, and 100 accounts are sampled manually.
  • As the head of security, Zatko says he also was in charge of a division that investigated users’ complaints about accounts, which meant that he oversaw the removal of some bots, according to the complaint. Spam bots — computer programs that tweet automatically — have long vexed Twitter. Unlike its social media counterparts, Twitter allows users to program bots to be used on its service: For example, the Twitter account @big_ben_clock is programmed to tweet “Bong Bong Bong” every hour in time with Big Ben in London. Twitter also allows people to create accounts without using their real identities, making it harder for the company to distinguish between authentic, duplicate and automated accounts.
  • In the complaint, Zatko alleges he could not get a straight answer when he sought what he viewed as an important data point: the prevalence of spam and bots across all of Twitter, not just among monetizable users.
  • Zatko cites a “sensitive source” who said Twitter was afraid to determine that number because it “would harm the image and valuation of the company.” He says the company’s tools for detecting spam are far less robust than implied in various statements.
  • “Agrawal’s Tweets and Twitter’s previous blog posts misleadingly imply that Twitter employs proactive, sophisticated systems to measure and block spam bots,” the complaint says. “The reality: mostly outdated, unmonitored, simple scripts plus overworked, inefficient, understaffed, and reactive human teams.”
  • For example, they said the company implied that it had destroyed all data on users who asked, but the material had spread so widely inside Twitter’s networks, it was impossible to know for sure
  • Some employees charged with executing the fight agreed that they had been short of staff. One said top executives showed “apathy” toward the issue.
  • Zatko’s complaint likewise depicts leadership dysfunction, starting with the CEO. Dorsey was largely absent during the pandemic, which made it hard for Zatko to get rulings on who should be in charge of what in areas of overlap and easier for rival executives to avoid collaborating, three current and former employees said.
  • For example, Zatko would encounter disinformation as part of his mandate to handle complaints, according to the complaint. To that end, he commissioned an outside report that found one of the disinformation teams had unfilled positions, yawning language deficiencies, and a lack of technical tools or the engineers to craft them. The authors said Twitter had no effective means of dealing with consistent spreaders of falsehoods.
  • Dorsey made little effort to integrate Zatko at the company, according to the three employees as well as two others familiar with the process who spoke on the condition of anonymity to describe sensitive dynamics. In 12 months, Zatko could manage only six one-on-one calls, all less than 30 minutes, with his direct boss Dorsey, who also served as CEO of payments company Square, now known as Block, according to the complaint. Zatko allegedly did almost all of the talking, and Dorsey said perhaps 50 words in the entire year to him. “A couple dozen text messages” rounded out their electronic communication, the complaint alleges.
  • Faced with such inertia, Zatko asserts that he was unable to solve some of the most serious issues, according to the complaint.
  • Some 30 percent of company laptops blocked automatic software updates carrying security fixes, and thousands of laptops had complete copies of Twitter’s source code, making them a rich target for hackers, it alleges.
  • A successful hacker takeover of one of those machines would have been able to sabotage the product with relative ease, because the engineers pushed out changes without being forced to test them first in a simulated environment, current and former employees said.
  • “It’s near-incredible that for something of that scale there would not be a development test environment separate from production and there would not be a more controlled source-code management process,” said Tony Sager, former chief operating officer at the cyberdefense wing of the National Security Agency, the Information Assurance divisio
  • Sager is currently senior vice president at the nonprofit Center for Internet Security, where he leads a consensus effort to establish best security practices.
  • Zatko stopped the material from being presented at the Dec. 9, 2021 meeting, the complaint said. But over his continued objections, Agrawal let it go to the board’s smaller Risk Committee a week later.
  • “A best practice is that you should only be authorized to see and access what you need to do your job, and nothing else,” said former U.S. chief information security officer Gregory Touhill. “If half the company has access to and can make configuration changes to the production environment, that exposes the company and its customers to significant risk.”
  • The complaint says Dorsey never encouraged anyone to mislead the board about the shortcomings, but that others deliberately left out bad news.
  • When Dorsey left in November 2021, a difficult situation worsened under Agrawal, who had been responsible for security decisions as chief technology officer before Zatko’s hiring, the complaint says.
  • An unnamed executive had prepared a presentation for the new CEO’s first full board meeting, according to the complaint. Zatko’s complaint calls the presentation deeply misleading.
  • The presentation showed that 92 percent of employee computers had security software installed — without mentioning that those installations determined that a third of the machines were insecure, according to the complaint.
  • Another graphic implied a downward trend in the number of people with overly broad access, based on the small subset of people who had access to the highest administrative powers, known internally as “God mode.” That number was in the hundreds. But the number of people with broad access to core systems, which Zatko had called out as a big problem after joining, had actually grown slightly and remained in the thousands.
  • The presentation included only a subset of serious intrusions or other security incidents, from a total Zatko estimated as one per week, and it said that the uncontrolled internal access to core systems was responsible for just 7 percent of incidents, when Zatko calculated the real proportion as 60 percent.
  • The complaint says that about half of Twitter’s roughly 7,000 full-time employees had wide access to the company’s internal software and that access was not closely monitored, giving them the ability to tap into sensitive data and alter how the service worked. Three current and former employees agreed that these were issues.
  • Agrawal didn’t respond to requests for comment. In an email to employees after publication of this article, obtained by The Post, he said that privacy and security continues to be a top priority for the company, and he added that the narrative is “riddled with inconsistences” and “presented without important context.”
  • On Jan. 4, Zatko reported internally that the Risk Committee meeting might have been fraudulent, which triggered an Audit Committee investigation.
  • Agarwal fired him two weeks later. But Zatko complied with the company’s request to spell out his concerns in writing, even without access to his work email and documents, according to the complaint.
  • Since Zatko’s departure, Twitter has plunged further into chaos with Musk’s takeover, which the two parties agreed to in May. The stock price has fallen, many employees have quit, and Agrawal has dismissed executives and frozen big projects.
  • Zatko said he hoped that by bringing new scrutiny and accountability, he could improve the company from the outside.
  • “I still believe that this is a tremendous platform, and there is huge value and huge risk, and I hope that looking back at this, the world will be a better place, in part because of this.”
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Instagram's Algorithm Delivers Toxic Video Mix to Adults Who Follow Children - WSJ - 0 views

  • Instagram’s Reels video service is designed to show users streams of short videos on topics the system decides will interest them, such as sports, fashion or humor. 
  • The Meta Platforms META -1.04%decrease; red down pointing triangle-owned social app does the same thing for users its algorithm decides might have a prurient interest in children, testing by The Wall Street Journal showed.
  • The Journal sought to determine what Instagram’s Reels algorithm would recommend to test accounts set up to follow only young gymnasts, cheerleaders and other teen and preteen influencers active on the platform.
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  • “Our systems are effective at reducing harmful content, and we’ve invested billions in safety, security and brand suitability solutions,” said Samantha Stetson, a Meta vice president who handles relations with the advertising industry. She said the prevalence of inappropriate content on Instagram is low, and that the company invests heavily in reducing it.
  • The Journal set up the test accounts after observing that the thousands of followers of such young people’s accounts often include large numbers of adult men, and that many of the accounts who followed those children also had demonstrated interest in sex content related to both children and adults
  • The Journal also tested what the algorithm would recommend after its accounts followed some of those users as well, which produced more-disturbing content interspersed with ads.
  • The Canadian Centre for Child Protection, a child-protection group, separately ran similar tests on its own, with similar results.
  • Meta said the Journal’s tests produced a manufactured experience that doesn’t represent what billions of users see. The company declined to comment on why the algorithms compiled streams of separate videos showing children, sex and advertisements, but a spokesman said that in October it introduced new brand safety tools that give advertisers greater control over where their ads appear, and that Instagram either removes or reduces the prominence of four million videos suspected of violating its standards each month. 
  • The Journal reported in June that algorithms run by Meta, which owns both Facebook and Instagram, connect large communities of users interested in pedophilic content. The Meta spokesman said a task force set up after the Journal’s article has expanded its automated systems for detecting users who behave suspiciously, taking down tens of thousands of such accounts each month. The company also is participating in a new industry coalition to share signs of potential child exploitation.
  • Following what it described as Meta’s unsatisfactory response to its complaints, Match began canceling Meta advertising for some of its apps, such as Tinder, in October. It has since halted all Reels advertising and stopped promoting its major brands on any of Meta’s platforms. “We have no desire to pay Meta to market our brands to predators or place our ads anywhere near this content,” said Match spokeswoman Justine Sacco.
  • Even before the 2020 launch of Reels, Meta employees understood that the product posed safety concerns, according to former employees.
  • Robbie McKay, a spokesman for Bumble, said it “would never intentionally advertise adjacent to inappropriate content,” and that the company is suspending its ads across Meta’s platforms.
  • Meta created Reels to compete with TikTok, the video-sharing platform owned by Beijing-based ByteDance. Both products feed users a nonstop succession of videos posted by others, and make money by inserting ads among them. Both companies’ algorithms show to a user videos the platforms calculate are most likely to keep that user engaged, based on his or her past viewing behavior
  • The Journal reporters set up the Instagram test accounts as adults on newly purchased devices and followed the gymnasts, cheerleaders and other young influencers. The tests showed that following only the young girls triggered Instagram to begin serving videos from accounts promoting adult sex content alongside ads for major consumer brands, such as one for Walmart that ran after a video of a woman exposing her crotch. 
  • When the test accounts then followed some users who followed those same young people’s accounts, they yielded even more disturbing recommendations. The platform served a mix of adult pornography and child-sexualizing material, such as a video of a clothed girl caressing her torso and another of a child pantomiming a sex act.
  • Experts on algorithmic recommendation systems said the Journal’s tests showed that while gymnastics might appear to be an innocuous topic, Meta’s behavioral tracking has discerned that some Instagram users following preteen girls will want to engage with videos sexualizing children, and then directs such content toward them.
  • Current and former Meta employees said in interviews that the tendency of Instagram algorithms to aggregate child sexualization content from across its platform was known internally to be a problem. Once Instagram pigeonholes a user as interested in any particular subject matter, they said, its recommendation systems are trained to push more related content to them.
  • Preventing the system from pushing noxious content to users interested in it, they said, requires significant changes to the recommendation algorithms that also drive engagement for normal users. Company documents reviewed by the Journal show that the company’s safety staffers are broadly barred from making changes to the platform that might reduce daily active users by any measurable amount.
  • The test accounts showed that advertisements were regularly added to the problematic Reels streams. Ads encouraging users to visit Disneyland for the holidays ran next to a video of an adult acting out having sex with her father, and another of a young woman in lingerie with fake blood dripping from her mouth. An ad for Hims ran shortly after a video depicting an apparently anguished woman in a sexual situation along with a link to what was described as “the full video.”
  • Instagram’s system served jarring doses of salacious content to those test accounts, including risqué footage of children as well as overtly sexual adult videos—and ads for some of the biggest U.S. brands.
  • Part of the problem is that automated enforcement systems have a harder time parsing video content than text or still images. Another difficulty arises from how Reels works: Rather than showing content shared by users’ friends, the way other parts of Instagram and Facebook often do, Reels promotes videos from sources they don’t follow
  • In an analysis conducted shortly before the introduction of Reels, Meta’s safety staff flagged the risk that the product would chain together videos of children and inappropriate content, according to two former staffers. Vaishnavi J, Meta’s former head of youth policy, described the safety review’s recommendation as: “Either we ramp up our content detection capabilities, or we don’t recommend any minor content,” meaning any videos of children.
  • At the time, TikTok was growing rapidly, drawing the attention of Instagram’s young users and the advertisers targeting them. Meta didn’t adopt either of the safety analysis’s recommendations at that time, according to J.
  • Stetson, Meta’s liaison with digital-ad buyers, disputed that Meta had neglected child safety concerns ahead of the product’s launch. “We tested Reels for nearly a year before releasing it widely, with a robust set of safety controls and measures,” she said. 
  • After initially struggling to maximize the revenue potential of its Reels product, Meta has improved how its algorithms recommend content and personalize video streams for users
  • Among the ads that appeared regularly in the Journal’s test accounts were those for “dating” apps and livestreaming platforms featuring adult nudity, massage parlors offering “happy endings” and artificial-intelligence chatbots built for cybersex. Meta’s rules are supposed to prohibit such ads.
  • The Journal informed Meta in August about the results of its testing. In the months since then, tests by both the Journal and the Canadian Centre for Child Protection show that the platform continued to serve up a series of videos featuring young children, adult content and apparent promotions for child sex material hosted elsewhere. 
  • As of mid-November, the center said Instagram is continuing to steadily recommend what the nonprofit described as “adults and children doing sexual posing.”
  • Meta hasn’t offered a timetable for resolving the problem or explained how in the future it would restrict the promotion of inappropriate content featuring children. 
  • The Journal’s test accounts found that the problem even affected Meta-related brands. Ads for the company’s WhatsApp encrypted chat service and Meta’s Ray-Ban Stories glasses appeared next to adult pornography. An ad for Lean In Girls, the young women’s empowerment nonprofit run by former Meta Chief Operating Officer Sheryl Sandberg, ran directly before a promotion for an adult sex-content creator who often appears in schoolgirl attire. Sandberg declined to comment. 
  • Through its own tests, the Canadian Centre for Child Protection concluded that Instagram was regularly serving videos and pictures of clothed children who also appear in the National Center for Missing and Exploited Children’s digital database of images and videos confirmed to be child abuse sexual material. The group said child abusers often use the images of the girls to advertise illegal content for sale in dark-web forums.
  • The nature of the content—sexualizing children without generally showing nudity—reflects the way that social media has changed online child sexual abuse, said Lianna McDonald, executive director for the Canadian center. The group has raised concerns about the ability of Meta’s algorithms to essentially recruit new members of online communities devoted to child sexual abuse, where links to illicit content in more private forums proliferate.
  • “Time and time again, we’ve seen recommendation algorithms drive users to discover and then spiral inside of these online child exploitation communities,” McDonald said, calling it disturbing that ads from major companies were subsidizing that process.
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An Existential Problem in the Search for Alien Life - The Atlantic - 0 views

  • The fact is, we still don’t know what life is.
  • since the days of Aristotle, scientists and philosophers have struggled to draw a precise line between what is living and what is not, often returning to criteria such as self-organization, metabolism, and reproduction but never finding a definition that includes, and excludes, all the right things.
  • If you say life consumes fuel to sustain itself with energy, you risk including fire; if you demand the ability to reproduce, you exclude mules. NASA hasn’t been able to do better than a working definition: “Life is a self-sustaining chemical system capable of Darwinian evolution.”
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  • it lacks practical application. If humans found something on another planet that seemed to be alive, how much time would we have to sit around and wait for it to evolve?
  • The only life we know is life on Earth. Some scientists call this the n=1 problem, where n is the number of examples from which we can generalize.
  • Cronin studies the origin of life, also a major interest of Walker’s, and it turned out that, when expressed in math, their ideas were essentially the same. They had both zeroed in on complexity as a hallmark of life. Cronin is devising a way to systematize and measure complexity, which he calls Assembly Theory.
  • What we really want is more than a definition of life. We want to know what life, fundamentally, is. For that kind of understanding, scientists turn to theories. A theory is a scientific fundamental. It not only answers questions, but frames them, opening new lines of inquiry. It explains our observations and yields predictions for future experiments to test.
  • Consider the difference between defining gravity as “the force that makes an apple fall to the ground” and explaining it, as Newton did, as the universal attraction between all particles in the universe, proportional to the product of their masses and so on. A definition tells us what we already know; a theory changes how we understand things.
  • the potential rewards of unlocking a theory of life have captivated a clutch of researchers from a diverse set of disciplines. “There are certain things in life that seem very hard to explain,” Sara Imari Walker, a physicist at Arizona State University who has been at the vanguard of this work, told me. “If you scratch under the surface, I think there is some structure that suggests formalization and mathematical laws.”
  • Walker doesn’t think about life as a biologist—or an astrobiologist—does. When she talks about signs of life, she doesn’t talk about carbon, or water, or RNA, or phosphine. She reaches for different examples: a cup, a cellphone, a chair. These objects are not alive, of course, but they’re clearly products of life. In Walker’s view, this is because of their complexity. Life brings complexity into the universe, she says, in its own being and in its products, because it has memory: in DNA, in repeating molecular reactions, in the instructions for making a chair.
  • He measures the complexity of an object—say, a molecule—by calculating the number of steps necessary to put the object’s smallest building blocks together in that certain way. His lab has found, for example, when testing a wide range of molecules, that those with an “assembly number” above 15 were exclusively the products of life. Life makes some simpler molecules, too, but only life seems to make molecules that are so complex.
  • I reach for the theory of gravity as a familiar parallel. Someone might ask, “Okay, so in terms of gravity, where are we in terms of our understanding of life? Like, Newton?” Further back, further back, I say. Walker compares us to pre-Copernican astronomers, reliant on epicycles, little orbits within orbits, to make sense of the motion we observe in the sky. Cleland has put it in terms of chemistry, in which case we’re alchemists, not even true chemists yet
  • Walker’s whole notion is that it’s not only theoretically possible but genuinely achievable to identify something smaller—much smaller—that still nonetheless simply must be the result of life. The model would, in a sense, function like biosignatures as an indication of life that could be searched for. But it would drastically improve and expand the targets.
  • Walker would use the theory to predict what life on a given planet might look like. It would require knowing a lot about the planet—information we might have about Venus, but not yet about a distant exoplanet—but, crucially, would not depend at all on how life on Earth works, what life on Earth might do with those materials.
  • Without the ability to divorce the search for alien life from the example of life we know, Walker thinks, a search is almost pointless. “Any small fluctuations in simple chemistry can actually drive you down really radically different evolutionary pathways,” she told me. “I can’t imagine [life] inventing the same biochemistry on two worlds.”
  • Walker’s approach is grounded in the work of, among others, the philosopher of science Carol Cleland, who wrote The Quest for a Universal Theory of Life.
  • she warns that any theory of life, just like a definition, cannot be constrained by the one example of life we currently know. “It’s a mistake to start theorizing on the basis of a single example, even if you’re trying hard not to be Earth-centric. Because you’re going to be Earth-centric,” Cleland told me. In other words, until we find other examples of life, we won’t have enough data from which to devise a theory. Abstracting away from Earthliness isn’t a way to be agnostic, Cleland argues. It’s a way to be too abstract.
  • Cleland calls for a more flexible search guided by what she calls “tentative criteria.” Such a search would have a sense of what we’re looking for, but also be open to anomalies that challenge our preconceptions, detections that aren’t life as we expected but aren’t familiar not-life either—neither a flower nor a rock
  • it speaks to the hope that exploration and discovery might truly expand our understanding of the cosmos and our own world.
  • The astrobiologist Kimberley Warren-Rhodes studies life on Earth that lives at the borders of known habitability, such as in Chile’s Atacama Desert. The point of her experiments is to better understand how life might persist—and how it might be found—on Mars. “Biology follows some rules,” she told me. The more of those rules you observe, the better sense you have of where to look on other worlds.
  • In this light, the most immediate concern in our search for extraterrestrial life might be less that we only know about life on Earth, and more that we don’t even know that much about life on Earth in the first place. “I would say we understand about 5 percent,” Warren-Rhodes estimates of our cumulative knowledge. N=1 is a problem, and we might be at more like n=.05.
  • who knows how strange life on another world might be? What if life as we know it is the wrong life to be looking for?
  • We understand so little, and we think we’re ready to find other life?
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Putting Economic Data Into Context - The New York Times - 0 views

  • economic historians have been wrestling with this problem for years and have produced an excellent calculator for converting historical data into contemporary figures. The site is called Measuring Worth,
  • Today we use price indexes to convert monetary values from the past into “real” values today. The best-known such index is the Consumer Price Index published monthly by the Bureau of Labor Statistics. For those interested only in a simple inflation adjustment, the bureau maintains a useful calculator.
  • The area where this is the biggest problem is probably large budget numbers. The raw data is almost universally useless. Saying that the budget deficit was $680.3 billion in fiscal year 2013 tells the average person absolutely nothing of value. It’s just a large number that sounds scary. It would help to at least know that it is down from $1.087 trillion in 2012 and a peak of $1.413 trillion in 2009, but that’s not entirely adequate.
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  • it makes no sense to compare the federal budget to a family budget, which is what the Consumer Price Index is based on. One needs to use a broader index, like the gross domestic product deflator, which measures price changes throughout the entire economy.
  • For large numbers, the percentage of the gross domestic product is both the easiest to find and best to use.
  • Since the “burden” of the debt basically falls on the entire economy, the debt-to-G.D.P. ratio is generally considered the best measure of that burden. It also facilitates international comparisons without having to worry about exchange-rate adjustments.
  • international price comparisons can be especially tricky because current market exchange rates may not accurately reflect relative values or standards of living. Economists generally prefer to use something called “purchasing power parity,” but such data is not always easy to come by
  • There is much more to say on this topic. I recommend an essay on the Measuring Worth website that discusses different measures of value over time and how they materially affect our perceptions. There are also new statistical measures coming online that may provide even better data, like the Billion Prices Project from M.I.T., which gathers price data in real time directly from store price scanners.
  • This is an area where trial and error is the best strategy. The important thing is to make an effort to provide proper context where it appears necessary and not to simply ignore the problem.
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What Your Brain Looks Like When It Solves a Math Problem - The New York Times - 0 views

  • The imaging analysis found four stages in all: encoding (downloading), planning (strategizing), solving (performing the math), and responding (typing out an answer).
  • The analysis found four separate stages that, depending on the problem, varied in length by a second or more. For instance, planning took up more time than the other stages when a clever workaround was required. The same stages are likely applicable to solving many creative problems, not just in math. But knowing how they play out in the brain should help in designing curriculums, especially in mathematics, the paper suggests.
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The varieties of denialism | Scientia Salon - 1 views

  • a stimulating conference at Clark University about “Manufacturing Denial,” which brought together scholars from wildly divergent disciplines — from genocide studies to political science to philosophy — to explore the idea that “denialism” may be a sufficiently coherent phenomenon underlying the willful disregard of factual evidence by ideologically motivated groups or individuals.
  • the Oxford defines a denialist as “a person who refuses to admit the truth of a concept or proposition that is supported by the majority of scientific or historical evidence,” which represents a whole different level of cognitive bias or rationalization. Think of it as bias on steroids.
  • First, as a scientist: it’s just not about the facts, indeed — as Brendan showed data in hand during his presentation — insisting on facts may have counterproductive effects, leading the denialist to double down on his belief.
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  • if I think that simply explaining the facts to the other side is going to change their mind, then I’m in for a rude awakening.
  • As a philosopher, I found to be somewhat more disturbing the idea that denialism isn’t even about critical thinking.
  • what the large variety of denialisms have in common is a very strong, overwhelming, ideological commitment that helps define the denialist identity in a core manner. This commitment can be religious, ethnical or political in nature, but in all cases it fundamentally shapes the personal identity of the people involved, thus generating a strong emotional attachment, as well as an equally strong emotional backlash against critics.
  • To begin with, of course, they think of themselves as “skeptics,” thus attempting to appropriate a word with a venerable philosophical pedigree and which is supposed to indicate a cautiously rational approach to a given problem. As David Hume put it, a wise person (i.e., a proper skeptic) will proportion her beliefs to the evidence. But there is nothing of the Humean attitude in people who are “skeptical” of evolution, climate change, vaccines, and so forth.
  • Denialists have even begun to appropriate the technical language of informal logic: when told that a majority of climate scientists agree that the planet is warming up, they are all too happy to yell “argument from authority!” When they are told that they should distrust statements coming from the oil industry and from “think tanks” in their pockets they retort “genetic fallacy!” And so on. Never mind that informal fallacies are such only against certain background information, and that it is eminently sensible and rational to trust certain authorities (at the least provisionally), as well as to be suspicious of large organizations with deep pockets and an obvious degree of self-interest.
  • What commonalities can we uncover across instances of denialism that may allow us to tackle the problem beyond facts and elementary logic?
  • the evidence from the literature is overwhelming that denialists have learned to use the vocabulary of critical thinking against their opponents.
  • Another important issue to understand is that denialists exploit the inherently tentative nature of scientific or historical findings to seek refuge for their doctrines.
  • . Scientists have been wrong before, and doubtlessly will be again in the future, many times. But the issue is rather one of where it is most rational to place your bets as a Bayesian updater: with the scientific community or with Faux News?
  • Science should be portrayed as a human story of failure and discovery, not as a body of barely comprehensible facts arrived at by epistemic priests.
  • Is there anything that can be done in this respect? I personally like the idea of teaching “science appreciation” classes in high school and college [2], as opposed to more traditional (usually rather boring, both as a student and as a teacher) science instruction
  • Denialists also exploit the media’s self imposed “balanced” approach to presenting facts, which leads to the false impression that there really are two approximately equal sides to every debate.
  • This is a rather recent phenomenon, and it is likely the result of a number of factors affecting the media industry. One, of course, is the onset of the 24-hr media cycle, with its pernicious reliance on punditry. Another is the increasing blurring of the once rather sharp line between reporting and editorializing.
  • The problem with the media is of course made far worse by the ongoing crisis in contemporary journalism, with newspapers, magazines and even television channels constantly facing an uncertain future of revenues,
  • he push back against denialism, in all its varied incarnations, is likely to be more successful if we shift the focus from persuading individual members of the public to making political and media elites accountable.
  • This is a major result coming out of Brendan’s research. He showed data set after data set demonstrating two fundamental things: first, large sections of the general public do not respond to the presentation of even highly compelling facts, indeed — as mentioned above — are actually more likely to entrench further into their positions.
  • Second, whenever one can put pressure on either politicians or the media, they do change their tune, becoming more reasonable and presenting things in a truly (as opposed to artificially) balanced way.
  • Third, and most crucially, there is plenty of evidence from political science studies that the public does quickly rally behind a unified political leadership. This, as much as it is hard to fathom now, has happened a number of times even in somewhat recent times
  • when leaders really do lead, the people follow. It’s just that of late the extreme partisan bickering in Washington has made the two major parties entirely incapable of working together on the common ground that they have demonstrably had in the past.
  • Another thing we can do about denialism: we should learn from the detailed study of successful cases and see what worked and how it can be applied to other instances
  • Yet another thing we can do: seek allies. In the case of evolution denial — for which I have the most first-hand experience — it has been increasingly obvious to me that it is utterly counterproductive for a strident atheist like Dawkins (or even a relatively good humored one like yours truly) to engage creationists directly. It is far more effective when we have clergy (Barry Lynn of Americans United for the Separation of Church and State [6] comes to mind) and religious scientists
  • Make no mistake about it: denialism in its various forms is a pernicious social phenomenon, with potentially catastrophic consequences for our society. It requires a rallying call for all serious public intellectuals, academic or not, who have the expertise and the stamina to join the fray to make this an even marginally better world for us all. It’s most definitely worth the fight.
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Science and gun violence: why is the research so weak? [Part 2] - Boing Boing - 1 views

  • Scientists are missing some important bits of data that would help them better understand the effects of gun policy and the causes of gun-related violence. But that’s not the only reason why we don’t have solid answers. Once you have the data, you still have to figure out what it means. This is where the research gets complicated, because the problem isn’t simply about what we do and don’t know right now. The problem, say some scientists, is that we —from the public, to politicians, to even scientists themselves—may be trying to force research to give a type of answer that we can’t reasonably expect it to offer. To understand what science can do for the gun debates, we might have to rethink what “evidence-based policy” means to us.
  • For the most part, there aren’t a lot of differences in the data that these studies are using. So how can they reach such drastically different conclusions? The issue is in the kind of data that exists, and what you have to do to understand it, says Charles Manski, professor of economics at Northwestern University. Manski studies the ways that other scientists do research and how that research translates into public policy.
  • Even if we did have those gaps filled in, Manski said, what we’d have would still just be observational data, not experimental data. “We don’t have randomized, controlled experiments, here,” he said. “The only way you could do that, you’d have to assign a gun to some people randomly at birth and follow them throughout their lives. Obviously, that’s not something that’s going to work.”
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  • This means that, even under the best circumstances, scientists can’t directly test what the results of a given gun policy are. The best you can do is to compare what was happening in a state before and after a policy was enacted, or to compare two different states, one that has the policy and one that doesn’t. And that’s a pretty inexact way of working.
  • Add in enough assumptions, and you can eventually come up with an estimate. But is the estimate correct? Is it even close to reality? That’s a hard question to answer, because the assumptions you made—the correlations you drew between cause and effect, what you know and what you assume to be true because of that—might be totally wrong.
  • It’s hard to tease apart the effect of one specific change, compared to the effects of other things that could be happening at the same time.
  • This process of taking the observational data we do have and then running it through a filter of assumptions plays out in the real world in the form of statistical modeling. When the NAS report says that nobody yet knows whether more guns lead to more crime, or less crime, what they mean is that the models and the assumptions built into those models are all still proving to be pretty weak.
  • From either side of the debate, he said, scientists continue to produce wildly different conclusions using the same data. On either side, small shifts in the assumptions lead the models to produce different results. Both factions continue to choose sets of assumptions that aren’t terribly logical. It’s as if you decided that anybody with blue shoes probably had a belly-button piercing. There’s not really a good reason for making that correlation. And if you change the assumption—actually, belly-button piercings are more common in people who wear green shoes—you end up with completely different results.
  • “It’s been a complete waste of time, because we can’t validate one model versus another,” Pepper said. Most likely, he thinks that all of them are wrong. For instance, all the models he’s seen assume that a law will affect every state in the same way, and every person within that state in the same way. “But if you think about it, that’s just nonsensical,” he said.
  • What you’re left with is an environment where it’s really easy to prove that your colleague’s results are probably wrong, and it’s easy for him to prove that yours are probably wrong. But it’s not easy for either of you to make a compelling case for why you’re right.
  • Statistical modeling isn’t unique to gun research. It just happens to be particularly messy in this field. Scientists who study other topics have done a better job of using stronger assumptions and of building models that can’t be upended by changing one small, seemingly randomly chosen detail. It’s not that, in these other fields, there’s only one model being used, or even that all the different models produce the exact same results. But the models are stronger and, more importantly, the scientists do a better job of presenting the differences between models and drawing meaning from them.
  • “Climate change is one of the rare scientific literatures that has actually faced up to this,” Charles Manski said. What he means is that, when scientists model climate change, they don’t expect to produce exact, to-the-decimal-point answers.
  • The Intergovernmental Panel on Climate Change (IPCC) produces these big reports periodically, which analyze lots of individual papers. In essence, they’re looking at lots of trees and trying to paint you a picture of the forest. IPCC reports are available for free online, you can go and read them yourself. When you do, you’ll notice something interesting about the way that the reports present results. The IPCC never says, “Because we burned fossil fuels and emitted carbon dioxide into the atmosphere then the Earth will warm by x degrees.” Instead, those reports present a range of possible outcomes … for everything. Depending on the different models used, different scenarios presented, and the different assumptions made, the temperature of the Earth might increase by anywhere between 1.5 and 4.5 degrees Celsius.
  • On the one hand, that leaves politicians in a bit of a lurch. The response you might mount to counteract a 1.5 degree increase in global average temperature is pretty different from the response you’d have to 4.5 degrees. On the other hand, the range does tell us something valuable: the temperature is increasing.
  • The problem with this is that it flies in the face of what most of us expect science to do for public policy. Politics is inherently biased, right? The solutions that people come up with are driven by their ideologies. Science is supposed to cut that Gordian Knot. It’s supposed to lay the evidence down on the table and impartially determine who is right and who is wrong.
  • Manski and Pepper say that this is where we need to rethink what we expect science to do. Science, they say, isn’t here to stop all political debate in its tracks. In a situation like this, it simply can’t provide a detailed enough answer to do that—not unless you’re comfortable with detailed answers that are easily called into question and disproven by somebody else with a detailed answer.
  • Instead, science can reliably produce a range of possible outcomes, but it’s still up to the politicians (and, by extension, up to us) to hash out compromises between wildly differing values on controversial subjects. When it comes to complex social issues like gun ownership and gun violence, science doesn’t mean you get to blow off your political opponents and stake a claim on truth. Chances are, the closest we can get to the truth is a range that encompasses the beliefs of many different groups.
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Global Warming Denial Explained by Rebecca Costa - The Daily Beast - 3 views

  • While railing about how difficult it’s become for the man on the street to separate facts from beliefs, he brought up his favorite global impasse again: climate change. Despite scientific evidence that stacks higher than the Egyptian pyramids, Maher lamented that there are still Americans walking around who “don’t think the sun is hot.”
  • Maher asks why facts are becoming marginalized. The answer is right under his nose. When Darwin discovered the slow pace of evolutionary change (millions of years), he also explained what happens to us when the complexity of our problems exceeds the capabilities our brains have evolved to this point. It’s simple: when facts become incomprehensible, we switch to beliefs. In other words, all societies eventually become irrational when confronted with problems that are too complex, too large, too messy to solve.
  • Thankfully, we have two weapons earlier civilizations didn’t have: models for high failure rates and neuroscience. Take the venture capital model for example. No matter how much due diligence venture capitalists perform, they can’t pick a winner from a loser more than 20 percent of the time. But the enormous success of those winners overshadows the failures, so venture capitalists are successful in spite of themselves.
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  • Secondly, we can turn to neuroscience. Until recently we haven’t been able to look under the skull and see what the brain does when a problem is highly complex. The good news? The brain has a secret weapon against complexity, a process neuroscientists are now calling “insight.” We are learning more everyday about insight’s ability to catch the brain up to complexity—the real antidote to reverting to beliefs as a default.
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Why Are Some People So Smart? The Answer Could Spawn a Generation of Superbabies | WIRED - 0 views

  • use those machines to examine the genetic underpinnings of genius like his own. He wants nothing less than to crack the code for intelligence by studying the genomes of thousands of prodigies, not just from China but around the world.
  • fully expect they will succeed in identifying a genetic basis for IQ. They also expect that within a decade their research will be used to screen embryos during in vitro fertilization, boosting the IQ of unborn children by up to 20 points. In theory, that’s the difference between a kid who struggles through high school and one who sails into college.
  • studies make it clear that IQ is strongly correlated with the ability to solve all sorts of abstract problems, whether they involve language, math, or visual patterns. The frightening upshot is that IQ remains by far the most powerful predictor of the life outcomes that people care most about in the modern world. Tell me your IQ and I can make a decently accurate prediction of your occupational attainment, how many kids you’ll have, your chances of being arrested for a crime, even how long you’ll live.
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  • Dozens of popular books by nonexperts have filled the void, many claiming that IQ—which after more than a century remains the dominant metric for intelligence—predicts nothing important or that intelligence is simply too complex and subtle to be measured.
  • evidence points toward a strong genetic component in IQ. Based on studies of twins, siblings, and adoption, contemporary estimates put the heritability of IQ at 50 to 80 percent
  • intelligence has a genetic recipe
  • “Do you know any Perl?” Li asked him. Perl is a programming language often used to analyze genomic data. Zhao admitted he did not; in fact, he had no programming skills at all. Li handed him a massive textbook, Programming Perl. There were only two weeks left in the camp, so this would get rid of the kid for good. A few days later, Zhao returned. “I finished it,” he said. “The problems are kind of boring. Do you have anything harder?” Perl is a famously complicated language that takes university students a full year to learn.
  • So Li gave him a large DNA data set and a complicated statistical problem. That should do it. But Zhao returned later that day. “Finished.” Not only was it finished—and correct—but Zhao had even built a slick interface on top of the data.
  • driven by a fascination with kids who are born smart; he wants to know what makes them—and by extension, himself—the way they are.
  •  
    This is a really interesting article about using science to improve intelligence.
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How Brain Science Explains the Way We See #TheDress | Michael Buice - 1 views

  • Your brain is forced into being creative in order to perform the simple act of seeing the world around you.
  • Perception is a type of problem that mathematicians refer to as "ill-posed". Because of nothing more than light and geometry, a given image can have an infinite number of possible causes in the real world. Nonetheless, perception is a problem our brains must solve, so that we can find food, shelter, and each other.
  • he brain must resort to inference
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  • One consequence of this is that while we all live in the same world, we don't always see it the same way.
  • This dress is a nice example of how what you see isn't necessarily what you perceive.
  • Determination of color is based on a complicated inference, involving surrounding colors, local brightness cues and shape
  • Color interpretation relies on the same kind of contextual inference as brightness. In Bloj, Kersten, and Hurlbert (1999) the authors demonstrated that context inferred from depth could change the perceived color of an object.
  • Humans also have strong built in assumptions about perceived light sources. In terms of brightness, humans have a "light-from-above" prior that determines how we often interpret shapes.
  • In the case of the dress, one's assumptions about lighting have a strong impact on the perceived color.
  • It so happens that these average colors are close to being inverses of one another
  • Our brains have to make guesses, but they don't always make the same guesses, even though we live in the same world. One of the hardest inference problems our brains have to solve is figuring out how everyone else sees the world
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Sleight of the 'Invisible Hand' - NYTimes.com - 1 views

  • The wealthy, says Smith, spend their days establishing an “economy of greatness,” one founded on “luxury and caprice” and fueled by “the gratification of their own vain and insatiable desires.” Any broader benefit that accrues from their striving is not the consequence of foresight or benevolence, but “in spite of their natural selfishness and rapacity.” They don’t do good, they are led to it.
  • Smith described this state of affairs as “the obvious and simple system of natural liberty,” and he knew that it made for the revolutionary implication of his work. It shifted the way we thought about the relationship between government action and economic growth, making less means more the rebuttable presumption of policy proposals.
  • What it did not do, however, was void any proposal outright, much less prove that all government activity was counterproductive. Smith held that the sovereign had a role supporting education, building infrastructure and public institutions, and providing security from foreign and domestic threats — initiatives that should be paid for, in part, by a progressive tax code and duties on luxury goods. He even believed the government had a “duty” to protect citizens from “oppression,” the inevitable tendency of the strong to take advantage of the ignorance and necessity of the weak.
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  • In other words, the invisible hand did not solve the problem of politics by making politics altogether unnecessary. “We don’t think government can solve all our problems,” President Obama said in his convention address, “But we don’t think that government is the source of all our problems.” Smith would have appreciated this formulation. For him, whether government should get out of the way in any given matter, economic or otherwise, was a question for considered judgment abetted by scientific inquiry.
  • politics is a practical venture, and Smith distrusted those statesmen who confused their work with an exercise in speculative philosophy. Their proposals should be judged not by the delusive lights of the imagination, but by the metrics of science and experience, what President Obama described in the first presidential debate as “math, common sense and our history.”
  • John Paul Rollert teaches business ethics at the University of Chicago Booth School of Business and leadership at the Harvard Extension School.  He is the author of a recent paper on President Obama’s “Empathy Standard” for the Yale Law Journal Online.
  • Adam Smith, analytic philosophy, economics, Elections 2012
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    "Adam Smith, analytic philosophy, economics"
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The Right Way to Say 'I'm Sorry' - The New York Times - 1 views

  • Most people say “I’m sorry” many times a day for a host of trivial affronts – accidentally bumping into someone or failing to hold open a door. These apologies are easy and usually readily accepted, often with a response like, “No problem.”
  • But when “I’m sorry” are the words needed to right truly hurtful words, acts or inaction, they can be the hardest ones to utter.
  • apology can be powerful medicine with surprising value for the giver as well as the recipient.
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  • Expecting nothing in return, I was greatly relieved when my doorbell rang and the neighbor thanked me warmly for what I had said and done.
  • as an excuse for hurtful behavior.
  • She disputes popular thinking that failing to forgive is bad for one’s health and can lead to a life mired in bitterness and hate.
  • Offering an apology is an admission of guilt that admittedly leaves people vulnerable. There’s no guarantee as to how it will be received.
  • apologies followed by rationalizations are “never satisfying” and can even be harmful.
  • ‘I’m sorry’ are the two most healing words in the English language,” she said. “The courage to apologize wisely and well is not just a gift to the injured person, who can then feel soothed and released from obsessive recriminations, bitterness and corrosive anger.
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    We are very easy with saying "sorry" when it is completely unnecessary to perform our politeness because we know for sure that others will respond with a "No problem". However, when it comes to the real times that a "sorry" is very essential, we become very reluctant on saying that since the recipient is very likely to reject the apology. Giving an apology for our wrong behavior can release us from guilt and bitterness. Apology should not be an ask for forgiveness, it is a communication between two people, a reviewing on ourselves. Apologies shouldn't be begging for forgiveness, it should be a self-reflection. --Sissi (1/31/2017)
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Clouds' Effect on Climate Change Is Last Bastion for Dissenters - NYTimes.com - 0 views

  • For decades, a small group of scientific dissenters has been trying to shoot holes in the prevailing science of climate change, offering one reason after another why the outlook simply must be wrong. Enlarge This Image Josh Haner/The New York Times A technician at a Department of Energy site in Oklahoma launching a weather balloon to help scientists analyze clouds. More Photos » Temperature Rising Enigma in the Sky This series focuses on the central arguments in the climate debate and examining the evidence for global warming and its consequences. More From the Series » if (typeof NYTDVideoManager != "undefined") { NYTDVideoManager.setAllowMultiPlayback(false); } function displayCompanionBanners(banners, tracking) { tmDisplayBanner(banners, "videoAdContent", 300, 250, null, tracking); } Multimedia Interactive Graphic Clouds and Climate Slide Show Understanding the Atmosphere Related Green Blog: Climate Change and the Body Politic (May 1, 2012) An Underground Fossil Forest Offers Clues on Climate Change (May 1, 2012) A blog about energy and the environment. Go to Blog » Readers’ Comments "There is always some possibility that the scientific consensus may be wrong and Dr. Lindzen may be right, or that both may be wrong. But the worst possible place to resolve such issues is the political arena." Alexander Flax, Potomac, MD Read Full Comment » Post a Comment » Over time, nearly every one of their arguments has been knocked down by accumulating evidence, and polls say 97 percent of working climate scientists now see global warming as a serious risk.
  • They acknowledge that the human release of greenhouse gases will cause the planet to warm. But they assert that clouds — which can either warm or cool the earth, depending on the type and location — will shift in such a way as to counter much of the expected temperature rise and preserve the equable climate on which civilization depends.
  • At gatherings of climate change skeptics on both sides of the Atlantic, Dr. Lindzen has been treated as a star. During a debate in Australia over carbon taxes, his work was cited repeatedly. When he appears at conferences of the Heartland Institute, the primary American organization pushing climate change skepticism, he is greeted by thunderous applause.
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  • His idea has drawn withering criticism from other scientists, who cite errors in his papers and say proof is lacking. Enough evidence is already in hand, they say, to rule out the powerful cooling effect from clouds that would be needed to offset the increase of greenhouse gases.
  • “If you listen to the credible climate skeptics, they’ve really pushed all their chips onto clouds.”
  • Dr. Lindzen is “feeding upon an audience that wants to hear a certain message, and wants to hear it put forth by people with enough scientific reputation that it can be sustained for a while, even if it’s wrong science,” said Christopher S. Bretherton, an atmospheric researcher at the University of Washington. “I don’t think it’s intellectually honest at all.”
  • With climate policy nearly paralyzed in the United States, many other governments have also declined to take action, and worldwide emissions of greenhouse gases are soaring.
  • The most elaborate computer programs have agreed on a broad conclusion: clouds are not likely to change enough to offset the bulk of the human-caused warming. Some of the analyses predict that clouds could actually amplify the warming trend sharply through several mechanisms, including a reduction of some of the low clouds that reflect a lot of sunlight back to space. Other computer analyses foresee a largely neutral effect. The result is a big spread in forecasts of future temperature, one that scientists have not been able to narrow much in 30 years of effort.
  • The earth’s surface has already warmed about 1.4 degrees Fahrenheit since the Industrial Revolution, most of that in the last 40 years. Modest as it sounds, it is an average for the whole planet, representing an enormous addition of heat. An even larger amount is being absorbed by the oceans. The increase has caused some of the world’s land ice to melt and the oceans to rise.
  • Even in the low projection, many scientists say, the damage could be substantial. In the high projection, some polar regions could heat up by 20 or 25 degrees Fahrenheit — more than enough, over centuries or longer, to melt the Greenland ice sheet, raising sea level by a catastrophic 20 feet or more. Vast changes in  rainfall, heat waves and other weather patterns would most likely accompany such a large warming. “The big damages come if the climate sensitivity to greenhouse gases turns out to be high,” said Raymond T. Pierrehumbert, a climate scientist at the University of Chicago. “Then it’s not a bullet headed at us, but a thermonuclear warhead.”
  • But the problem of how clouds will behave in a future climate is not yet solved — making the unheralded field of cloud research one of the most important pursuits of modern science.
  • for more than a decade, Dr. Lindzen has said that when surface temperature increases, the columns of moist air rising in the tropics will rain out more of their moisture, leaving less available to be thrown off as ice, which forms the thin, high clouds known as cirrus. Just like greenhouse gases, these cirrus clouds act to reduce the cooling of the earth, and a decrease of them would counteract the increase of greenhouse gases. Dr. Lindzen calls his mechanism the iris effect, after the iris of the eye, which opens at night to let in more light. In this case, the earth’s “iris” of high clouds would be opening to let more heat escape.
  • Dr. Lindzen acknowledged that the 2009 paper contained “some stupid mistakes” in his handling of the satellite data. “It was just embarrassing,” he said in an interview. “The technical details of satellite measurements are really sort of grotesque.” Last year, he tried offering more evidence for his case, but after reviewers for a prestigious American journal criticized the paper, Dr. Lindzen published it in a little-known Korean journal. Dr. Lindzen blames groupthink among climate scientists for his publication difficulties, saying the majority is determined to suppress any dissenting views. They, in turn, contend that he routinely misrepresents the work of other researchers.
  • Ultimately, as the climate continues warming and more data accumulate, it will become obvious how clouds are reacting. But that could take decades, scientists say, and if the answer turns out to be that catastrophe looms, it would most likely be too late. By then, they say, the atmosphere would contain so much carbon dioxide as to make a substantial warming inevitable, and the gas would not return to a normal level for thousands of years.
  • In his Congressional appearances, speeches and popular writings, Dr. Lindzen offers little hint of how thin the published science supporting his position is. Instead, starting from his disputed iris mechanism, he makes what many of his colleagues see as an unwarranted leap of logic, professing near-certainty that climate change is not a problem society needs to worry about.
  • “Even if there were no political implications, it just seems deeply unprofessional and irresponsible to look at this and say, ‘We’re sure it’s not a problem,’ ” said Kerry A. Emanuel, another M.I.T. scientist. “It’s a special kind of risk, because it’s a risk to the collective civilization.”
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What to Do About 'Coming Apart' - NYTimes.com - 0 views

  • Murray has produced a book-length argument placing responsibility for rising inequality and declining mobility on widespread decay in the moral fiber of white, lower-status, less well-educated Americans, putting relatively less emphasis on a similar social breakdown among low-status, less-educated Americans of all races
  • Murray’s strength lies in his ability to raise issues that center-left policy makers and academics prefer, for the most part, to shy away from. His research methods, his statistical analyses and the conclusions he draws are subject to passionate debate. But by forcing taboo issues into the public arena, Murray has opened up for discussion politically salient issues that lurk at a subterranean level in the back-brains of many voters, issues that are rarely examined with the rigor necessary to affirm or deny their legitimacy.
  • The National Review and the Conservative Monitor cited “Losing Ground” as one of the ten books that most changed America. Murray’s bookseemed like a bolt of lightning in the middle of the night revealing what should have been plain as the light of day. The welfare state so carefully built up in the 1960s and 1970s created a system of disincentives for people to better their own lives. By paying welfare mothers to have children out of wedlock into a poor home, more of these births were encouraged. By doling out dollars at a rate that could not be matched by the economy, the system encouraged the poor to stay home.
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  • He contends in “Coming Apart” that there was far greater social cohesion across class lines 50 years ago because “the powerful norms of social and economic behavior in 1960 swept virtually everyone into their embrace,” adding in a Jan. 21 op-ed in the Wall Street Journal thatOver the past 50 years, that common civic culture has unraveled. We have developed a new upper class with advanced educations, often obtained at elite schools, sharing tastes and preferences that set them apart from mainstream America. At the same time, we have developed a new lower class, characterized not by poverty but by withdrawal from America’s core cultural institutions.According to Murray, higher education has now become a proxy for higher IQ, as elite colleges become sorting mechanisms for finding, training and introducing to each other the most intellectually gifted young people. Fifty years into the education revolution, members of this elite are likely to be themselves the offspring of cognitively gifted parents, and to ultimately bear cognitively gifted children.
  • “Industriousness: The norms for work and women were revolutionized after 1960, but the norm for men putatively has remained the same: Healthy men are supposed to work. In practice, though, that norm has eroded everywhere.”
  • Murray makes the case that cognitive ability is worth ever more in modern advanced, technologically complex hypercompetitive market economies. As an example, Murray quotes Bill Gates: “Software is an IQ business. Microsoft must win the IQ war or we won’t have a future.”
  • Murray alleges that those with higher IQs now exhibit personal and social behavioral choices in areas like marriage, industriousness, honesty and religiosity that allow them to enjoy secure and privileged lives. Whites in the lower social-economic strata are less cognitively able – in Murray’s view – and thus less well-equipped to resist the lure of the sexual revolution and doctrines of self-actualization so they succumb to higher rates of family dissolution, non-marital births, worklessness and criminality. This interaction between IQ and behavioral choice, in Murray’s framework, is what has led to the widening income and cultural gap.
  • Despised by the left, Murray has arguably done liberals a service by requiring them to deal with those whose values may seem alien, to examine the unintended consequences of their policies and to grapple with the political impact of assertions made by the right. He has also amassed substantial evidence to bolster his claims and at the same time elicited a formidable academic counter-attack.
  • To Murray, the overarching problem is that liberal elites, while themselves living lives of probity, have refused to proselytize for the bourgeois virtues to which they subscribe, thus leaving their less discerning fellow-citizens to flounder in the anti-bourgeois legacy of the counter-cultural 1960s.
  • “Great Civic Awakening” among the new upper class – an awakening that will lead to the kind of “moral rearmament” and paternalism characteristic of anti-poverty drives in the 19th century. To achieve this, Murray believes, the “new upper class must once again fall in love with what makes America different.”
  • The cognitive elites Murray cites are deeply committed to liberal norms of cultural tolerance and permissiveness. The antipathy to the moralism of the religious right has, in fact, been a major force driving these upscale, secular voters into the Democratic party.
  • changes in the world economy may be destructive in terms of the old social model, but they are profoundly liberating and benign in and of themselves. The family farm wasn’t dying because capitalism had failed or a Malthusian crisis was driving the world to starvation. The family farm died of abundance; it died of the rapidly rising productivity that meant that fewer and fewer people had to work to produce the food on which humanity depended.Mead continues:Revolutions in manufacturing and, above all, in communications and information technology create the potential for unprecedented abundance and a further liberation of humanity from meaningless and repetitive work. Our problem isn’t that the sources of prosperity have dried up in a long drought; our problem is that we don’t know how to swim. It is raining soup, and we are stuck holding a fork.The 21st century, Mead adds,must reinvent the American Dream. It must recast our economic, social, familial, educational and political systems for new challenges and new opportunities. Some hallowed practices and institutions will have to go under the bus. But in the end, the changes will make us richer, more free and more secure than we are now.Mead’s predictions may or may not prove prescient, but it his thinking, more than Murray’s, that reflects the underlying optimism that has sustained the United States for more than two centuries — a refusal to believe that anything about human nature is essentially “intractable.” Mead’s way of looking at things is not only more inviting than Murray’s, it is also more on target.
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Why It's OK to Let Apps Make You a Better Person - Evan Selinger - Technology - The Atl... - 0 views

  • one theme emerges from the media coverage of people's relationships with our current set of technologies: Consumers want digital willpower. App designers in touch with the latest trends in behavioral modification--nudging, the quantified self, and gamification--and good old-fashioned financial incentive manipulation, are tackling weakness of will. They're harnessing the power of payouts, cognitive biases, social networking, and biofeedback. The quantified self becomes the programmable self.
  • the trend still has multiple interesting dimensions
  • Individuals are turning ever more aspects of their lives into managerial problems that require technological solutions. We have access to an ever-increasing array of free and inexpensive technologies that harness incredible computational power that effectively allows us to self-police behavior everywhere we go. As pervasiveness expands, so does trust.
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  • Some embrace networked, data-driven lives and are comfortable volunteering embarrassing, real time information about what we're doing, whom we're doing it with, and how we feel about our monitored activities.
  • Put it all together and we can see that our conception of what it means to be human has become "design space." We're now Humanity 2.0, primed for optimization through commercial upgrades. And today's apps are more harbinger than endpoint.
  • philosophers have had much to say about the enticing and seemingly inevitable dispersion of technological mental prosthetic that promise to substitute or enhance some of our motivational powers.
  • beyond the practical issues lie a constellation of central ethical concerns.
  • they should cause us to pause as we think about a possible future that significantly increases the scale and effectiveness of willpower-enhancing apps. Let's call this hypothetical future Digital Willpower World and characterize the ethical traps we're about to discuss as potential general pitfalls
  • it is antithetical to the ideal of " resolute choice." Some may find the norm overly perfectionist, Spartan, or puritanical. However, it is not uncommon for folks to defend the idea that mature adults should strive to develop internal willpower strong enough to avoid external temptations, whatever they are, and wherever they are encountered.
  • In part, resolute choosing is prized out of concern for consistency, as some worry that lapse of willpower in any context indicates a generally weak character.
  • Fragmented selves behave one way while under the influence of digital willpower, but another when making decisions without such assistance. In these instances, inconsistent preferences are exhibited and we risk underestimating the extent of our technological dependency.
  • It simply means that when it comes to digital willpower, we should be on our guard to avoid confusing situational with integrated behaviors.
  • the problem of inauthenticity, a staple of the neuroethics debates, might arise. People might start asking themselves: Has the problem of fragmentation gone away only because devices are choreographing our behavior so powerfully that we are no longer in touch with our so-called real selves -- the selves who used to exist before Digital Willpower World was formed?
  • Infantalized subjects are morally lazy, quick to have others take responsibility for their welfare. They do not view the capacity to assume personal responsibility for selecting means and ends as a fundamental life goal that validates the effort required to remain committed to the ongoing project of maintaining willpower and self-control.
  • Michael Sandel's Atlantic essay, "The Case Against Perfection." He notes that technological enhancement can diminish people's sense of achievement when their accomplishments become attributable to human-technology systems and not an individual's use of human agency.
  • Borgmann worries that this environment, which habituates us to be on auto-pilot and delegate deliberation, threatens to harm the powers of reason, the most central component of willpower (according to the rationalist tradition).
  • In several books, including Technology and the Character of Contemporary Life, he expresses concern about technologies that seem to enhance willpower but only do so through distraction. Borgmann's paradigmatic example of the non-distracted, focally centered person is a serious runner. This person finds the practice of running maximally fulfilling, replete with the rewarding "flow" that can only comes when mind/body and means/ends are unified, while skill gets pushed to the limit.
  • Perhaps the very conception of a resolute self was flawed. What if, as psychologist Roy Baumeister suggests, willpower is more "staple of folk psychology" than real way of thinking about our brain processes?
  • novel approaches suggest the will is a flexible mesh of different capacities and cognitive mechanisms that can expand and contract, depending on the agent's particular setting and needs. Contrary to the traditional view that identifies the unified and cognitively transparent self as the source of willed actions, the new picture embraces a rather diffused, extended, and opaque self who is often guided by irrational trains of thought. What actually keeps the self and its will together are the given boundaries offered by biology, a coherent self narrative created by shared memories and experiences, and society. If this view of the will as an expa
  • nding and contracting system with porous and dynamic boundaries is correct, then it might seem that the new motivating technologies and devices can only increase our reach and further empower our willing selves.
  • "It's a mistake to think of the will as some interior faculty that belongs to an individual--the thing that pushes the motor control processes that cause my action," Gallagher says. "Rather, the will is both embodied and embedded: social and physical environment enhance or impoverish our ability to decide and carry out our intentions; often our intentions themselves are shaped by social and physical aspects of the environment."
  • It makes perfect sense to think of the will as something that can be supported or assisted by technology. Technologies, like environments and institutions can facilitate action or block it. Imagine I have the inclination to go to a concert. If I can get my ticket by pressing some buttons on my iPhone, I find myself going to the concert. If I have to fill out an application form and carry it to a location several miles away and wait in line to pick up my ticket, then forget it.
  • Perhaps the best way forward is to put a digital spin on the Socratic dictum of knowing myself and submit to the new freedom: the freedom of consuming digital willpower to guide me past the sirens.
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Why Does a Governor Want Expensive Status Symbols? | Ten Miles Square | The Washington ... - 0 views

  • I won’t pretend to be sad about the indictment of former VA Governor Bob McDonnell on corruption charges. If I have any compassion to spare, I’ll use it on the children of poor families in Virginia denied medical coverage by McDonnell’s refusal to accept Federal money to expand Medicaid
  • But there’s one deeply, deeply twisted element to the story that ought to worry all of us. McDonnell was the Governor of Virginia, the successor of Jefferson. And he wanted a Rolex watch.
  • One of the many problems that flows from increasing inequality of income and wealth is that the standards of the rich become the ruling standards. Mrs. McDonnell obviously felt that she would be disgraced if she appeared at her husband’s inaugural ball in the sort of dress an honest public servant’s wife could afford, when all the fundraisers’ wives - to say nothing of the female fundraisers - would be wearing a large fraction of the median annual household income. Does that excuse her committing extortion to get an Oscar de la Renta dress? Of course not. But it testifies to a corruption of manners that goes far deeper than corruption in office.
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  • The extreme wealth of the rich is as great a public menace as the poverty of the poor, and great wealth is a greater problem than high income. Some of the way that money is made is destructive, and much of the way it is spent is even more destructive.
  • My $15 wristwatch from Target keeps excellent time, and - to my eye - looks pretty damned elegant. But if I were a surgeon or an investment banker, I couldn’t afford to wear it. That, I submit, is a problem.
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Is crime a virus or a beast? How metaphors shape our thoughts and decisions [Repost] : ... - 0 views

  • how influential metaphors can be. They can change the way we try to solve big problems like crime. They can shift the sources that we turn to for information. They can polarise our opinions to a far greater extent than, say, our political leanings. And most of all, they do it under our noses
  • In the first report, crime was described as a “wild beast preying on the city” and “lurking in neighbourhoods”. After reading these words, 75% of the students put forward solutions that involved enforcement or punishment,
  • The second report was exactly the same, except it described crime as a “virus infecting the city” and “plaguing” neighbourhoods. After reading this version, only 56% opted for more enforcement, while 44% suggested social reforms.
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  • The metaphors affected how the students saw the problem, and how they proposed to fix it.
  • So metaphors can influence opinions and choices, but how strong are their effects really? At the end of their experiments, Thibodeau and Boroditsky asked the students to state their gender and political affiliation. As you might expect, men and Republicans were more likely to emphasise enforcement, while women and Democrats leant towards social reforms. But these factors only created differences of around 8 to 9 percentage points. The metaphors, on the other hand, created shifts of between 18 to 22 percentage points!
  • it’s virtually impossible to talk about complex issues like crime, the economy, health and so on, without resorting to metaphors.
  • bad metaphors can do a great disservice to the public understanding of science. The idea of the “evolutionary ladder” perpetuates the myth that evolution is about a steady linear march towards complexity.
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