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Bill Fulkerson

Why do American CEOs get paid so much? | James K Galbraith | Opinion | The Guardian - 0 views

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    "new report from the Economic Policy Institute calls attention to the hardy perennial of how much America's corporate titans make: bosses of the top 350 firms made an average of $18.9m in 2017. That's a ratio of 312-1 over the median worker in their industries. Big bucks to be sure. And a big change since 1965, when the ratio was just 20-1. But what does it mean? And if there's a problem, what is it, exactly? What it means, as the EPI economists carefully document, is that the top US corporate chiefs are paid overwhelmingly with stock options, and their income fluctuates with the market. About 80% of the pay packet is in stocks, and the rise of 17% in 2017 after two flat years surely suggests that the top CEOs (not unreasonably) sensed the market peaked last year. So they cashed in. On the other 20% of the pay packets, no gains occurred"
Bill Fulkerson

The Con of Diversity - 0 views

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    "Harvard got what it wanted. Mediocrity in the name of diversity. It was a classic example of how the white power structure plays people of color. It decides whom to promote and whom to silence. When then-Maj. Colin Powell helped cover up the 1968 massacre of some 500 civilians at My Lai in Vietnam he was assured a glittering career in the Army. When Barack Obama proved obedient to the Chicago political machine, Wall Street and the Democratic Party establishment he was promoted to the U.S. Senate and the presidency. Diversity in the hands of the white power elites-political and corporate-is an advertising gimmick. A new face, a brand, gets pushed out front, accompanied by the lavish financial rewards that come with serving the white power structure, as long as the game is played. There is no shortage of women (Hillary Clinton, Nancy Pelosi and Donna Brazile), Latinos (Tom Perez and Marco Rubio) or blacks (Vernon Jordan, Clarence Thomas and Ben Carson) who sell their souls for a taste of power."
Bill Fulkerson

What You Should Know About Megaprojects and Why: An Overview by Bent Flyvbjerg :: SSRN - 0 views

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    "his paper takes stock of megaproject management, an emerging and hugely costly field of study. First, it answers the question of how large megaprojects are by measuring them in the units mega, giga, and tera, concluding we are presently entering a new "tera era" of trillion-dollar projects. Second, total global megaproject spending is assessed, at USD 6-9 trillion annually, or 8 percent of total global GDP, which denotes the biggest investment boom in human history. Third, four "sublimes" - political, technological, economic, and aesthetic - are identified to explain the increased size and frequency of megaprojects. Fourth, the "iron law of megaprojects" is laid out and documented: Over budget, over time, over and over again. Moreover, the "break-fix model" of megaproject management is introduced as an explanation of the iron law. Fifth, Albert O. Hirschman's theory of the Hiding Hand is revisited and critiqued as unfounded and corrupting for megaproject thinking in both the academy and policy. Sixth, it is shown how megaprojects are systematically subject to "survival of the unfittest," explaining why the worst projects get built instead of the best. Finally, it is argued that the conventional way of managing megaprojects has reached a "tension point," where tradition is challenged and reform is emerging. "
Bill Fulkerson

(16) High-speed, Non-deformation Catching with High-speed Vision and Proximity Feedback... - 0 views

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    "We demonstrated the high-speed, non-deformation catching of a marshmallow. The marshmallow is a very soft object which is difficult to grasp without deforming its surface. For the catching, we developed a 1ms sensor fusion system with the high-speed active vision sensor and the high-speed, high-precision proximity sensor. Generally, a tactile feedback is used to grasp various kinds of soft objects without deforming. However, the robot hand tends to deform the object surface with only tactile feedback. By slowing the grasping speed, the deformation becomes smaller. However, grasping time becomes longer. The 1ms sensor fusion system enabled seamless, high-sensitive sensing from non-contact to contact state. The robot hand could control fingertip position dynamically and precisely based on the visual and the proximity feedback. By the proximity feedback, contact to the object was detected before deforming its surface, and grasping motion is stopped. The robot hand could catch the marshmallow even if the position and posture of it were different. http://www.k2.t.u-tokyo.ac.jp/fusion/... SHOW MORE "
Bill Fulkerson

How Civilization Started - 0 views

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    "The big news to emerge from recent archeological research concerns the time lag between "sedentism," or living in settled communities, and the adoption of agriculture. Previous scholarship held that the invention of agriculture made sedentism possible. The evidence shows that this isn't true: there's an enormous gap-four thousand years-separating the "two key domestications," of animals and cereals, from the first agrarian economies based on them. Our ancestors evidently took a good, hard look at the possibility of agriculture before deciding to adopt this new way of life. They were able to think it over for so long because the life they lived was remarkably abundant. Like the early civilization of China in the Yellow River Valley, Mesopotamia was a wetland territory, as its name ("between the rivers") suggests. In the Neolithic period, Mesopotamia was a delta wetland, where the sea came many miles inland from its current shore."
Steve Bosserman

Opinion | It's Westworld. What's Wrong With Cruelty to Robots? - 1 views

  • The biggest concern is that we might one day create conscious machines: sentient beings with beliefs, desires and, most morally pressing, the capacity to suffer. Nothing seems to be stopping us from doing this. Philosophers and scientists remain uncertain about how consciousness emerges from the material world, but few doubt that it does. This suggests that the creation of conscious machines is possible.
  • If we did create conscious beings, conventional morality tells us that it would be wrong to harm them — precisely to the degree that they are conscious, and can suffer or be deprived of happiness. Just as it would be wrong to breed animals for the sake of torturing them, or to have children only to enslave them, it would be wrong to mistreat the conscious machines of the future.
  • Anything that looks and acts like the hosts on “Westworld” will appear conscious to us, whether or not we understand how consciousness emerges in physical systems. Indeed, experiments with AI and robotics have already shown how quick we are to attribute feelings to machines that look and behave like independent agents.
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  • This is where actually watching “Westworld” matters. The pleasure of entertainment aside, the makers of the series have produced a powerful work of philosophy. It’s one thing to sit in a seminar and argue about what it would mean, morally, if robots were conscious. It’s quite another to witness the torments of such creatures, as portrayed by actors such as Evan Rachel Wood and Thandie Newton. You may still raise the question intellectually, but in your heart and your gut, you already know the answer.
  • But the prospect of building a place like “Westworld” is much more troubling, because the experience of harming a host isn’t merely similar to that of harming a person; it’s identical. We have no idea what repeatedly indulging such fantasies would do to us, ethically or psychologically — but there seems little reason to think that it would be good.
  • For the first time in our history, then, we run the risk of building machines that only monsters would use as they please.
Steve Bosserman

How We Made AI As Racist and Sexist As Humans - 0 views

  • Artificial intelligence may have cracked the code on certain tasks that typically require human smarts, but in order to learn, these algorithms need vast quantities of data that humans have produced. They hoover up that information, rummage around in search of commonalities and correlations, and then offer a classification or prediction (whether that lesion is cancerous, whether you’ll default on your loan) based on the patterns they detect. Yet they’re only as clever as the data they’re trained on, which means that our limitations—our biases, our blind spots, our inattention—become theirs as well.
  • The majority of AI systems used in commercial applications—the ones that mediate our access to services like jobs, credit, and loans— are proprietary, their algorithms and training data kept hidden from public view. That makes it exceptionally difficult for an individual to interrogate the decisions of a machine or to know when an algorithm, trained on historical examples checkered by human bias, is stacked against them. And forget about trying to prove that AI systems may be violating human rights legislation.
  • Data is essential to the operation of an AI system. And the more complicated the system—the more layers in the neural nets, to translate speech or identify faces or calculate the likelihood someone defaults on a loan—the more data must be collected.
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  • But not everyone will be equally represented in that data.
  • And sometimes, even when ample data exists, those who build the training sets don’t take deliberate measures to ensure its diversity
  • The power of the system is its “ability to recognize that correlations occur between gender and professions,” says Kathryn Hume. “The downside is that there’s no intentionality behind the system—it’s just math picking up on correlations. It doesn’t know this is a sensitive issue.” There’s a tension between the futuristic and the archaic at play in this technology. AI is evolving much more rapidly than the data it has to work with, so it’s destined not just to reflect and replicate biases but also to prolong and reinforce them.
  • Accordingly, groups that have been the target of systemic discrimination by institutions that include police forces and courts don’t fare any better when judgment is handed over to a machine.
  • A growing field of research, in fact, now looks to apply algorithmic solutions to the problems of algorithmic bias.
  • Still, algorithmic interventions only do so much; addressing bias also demands diversity in the programmers who are training machines in the first place.
  • A growing awareness of algorithmic bias isn’t only a chance to intervene in our approaches to building AI systems. It’s an opportunity to interrogate why the data we’ve created looks like this and what prejudices continue to shape a society that allows these patterns in the data to emerge.
  • Of course, there’s another solution, elegant in its simplicity and fundamentally fair: get better data.
Bill Fulkerson

They Made a Movie Out of It | James Pogue - 0 views

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    At least some of my peers are now handing over their working lives to producing cynical content rigged to fit the desires of streaming services, which, when you think about it, is a small tragedy for a world as fucked as ours. Most of the good writers are not. But how could you not at least think about these imperatives when a strange new amalgam of Hollywood and tech offers the greatest rewards for a hit second novel and when magazines pay below rates that were standard three decades ago? Almost all notable book-length nonfiction written in this country emerges as an expansion of work that was first published by a magazine, so-whether they admit it or not-magazines are the incubators for the nonfiction writers who describe our world. But these outlets generally make not the barest pretense of trying to pay writers enough to build a life. Instead, editors at prestige outlets increasingly view writing as germinal IP.
Bill Fulkerson

Is global history still possible, or has it had its moment? | Aeon Essays - 0 views

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    "Global history faces two seemingly opposite challenges for an inter-dependent, over-heating planet. If we are going to muster meaningful narratives about the togetherness of strangers near and far, we are going to have to be more global and get more serious about engaging other languages and other ways of telling history. Historians and their reader-citizens are also going to have to re-signify the place of local attachments and meanings. Going deeper into the stories of Others afar and Strangers at home means dispensing with the idea that global integration was like an electric circuit, bringing light to the connected. Becoming inter-dependent is not just messier than drawing a wiring diagram. It means reckoning with dimensions of networks and circuits that global historians - and possibly all narratives of cosmopolitan convergence - leave out of the story: lighting up corners of the earth leaves others in the dark.  The story of the globalists illuminates some at the expense of others, the left behind, the ones who cannot move, and those who become immobilised because the light no longer shines on them."
Bill Fulkerson

The Looting Machine Called Capitalism - 0 views

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    "I have come to the conclusion that capitalism is successful primarily because it can impose the majority of the costs associated with its economic activities on outside parties and on the environment. In other words, capitalists make profits because their costs are externalized and born by others. In the US, society and the environment have to pick up the tab produced by capitalist activity. In the past when critics raised the question about external costs, that is, costs that are external to the company although produced by the company's activities, economists answered that it was not really a problem, because those harmed by the activity could be compensated for the damages that they suffered. This statement was intended to reinforce the claim that capitalism served the general welfare. However, the extremely primitive nature of American property rights meant that rarely would those suffering harm be compensated. The apologists for capitalism saved the system in the abstract, but not in reality."
Bill Fulkerson

The worst thing I read this year, and what it taught me… or Can we design soc... - 0 views

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    "I'm going to teach a new course this fall, tentatively titled "Technology and Social Change". It's going to include an examination of the four levers of social change Larry Lessig suggests in Code and which I've been exploring as possible paths to civic engagement. It will include deep methodological dives into codesign, and into using anthropology as tool for understanding user needs. It will look at unintended consequences, cases where technology's best intentions fail, and cases where careful exploration and preparation led to technosocial systems that make users and communities more powerful than they were before."
Bill Fulkerson

When People And Societies Change | Ian Welsh - 0 views

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    "The other way people change is just by being young.  Neoliberalism, shit that it is, worked for a lot of people. A lot of people got reasonably wealthy off it because it raised asset prices massively, both in the stock market and in housing, and if you were in place or able to take advantage of those things, you got a lot of money doing basically nothing."
Bill Fulkerson

New Potential Credit Risk Bombs: Exotic, 'Nonlinear' and Private Transactions | naked c... - 0 views

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    "The large point is that this development is a sign of how desperate search for yield has become. In and of itself this "new" product appears not to be significant in aggregate terms, so in isolation it is not too alarming. But it is the sort of thing that can burn the unwary badly. If it becomes a meaningful-sized activty, the large-scale hazards go up too. Stay tuned."
Bill Fulkerson

Scientists May Be Using the Wrong Cells to Study Covid-19 | WIRED - 0 views

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    BY NOW THERE'S little doubt about hydroxychloroquine: It doesn't work for treating Covid-19. But there's a bigger, more important lesson hidden in the story of its failure-a rarely-mentioned, but altogether crucial, error baked into the early research. The scientists who ran the first, promising laboratory experiments on the drug had used the wrong kind of cells: Instead of testing its effects on human lung cells, they relied on a supply of mass-produced, standardized cells made from a monkey's kidney. In the end, that poor decision made their findings more or less irrelevant to human health. Worse, it's possible that further research into novel Covid-19 cures will end up being compromised by the same mistake.
Bill Fulkerson

What if the car of the future isn't a car at all? - 0 views

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    This week, Cruise, the autonomous driving startup acquired by General Motors, announced its Origin, a self-driving vehicle that purports to be what comes next after the car. The Origin looks a bit like a large metal box on wheels. It lacks pedals, a steering wheel, a trunk, or even an engine, and has doors that slide open to reveal an interior with two facing bench seats. It is intended to act as a shuttle service that drives itself. Call the Origin with an app, get to where you're going, and never own a car again. That's the idea, anyway.
Bill Fulkerson

New plastic biomaterials could lead to tougher, more versatile medical implants - 0 views

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    A type of nylon, the material's shape memory properties enable it to be stretched and molded but able to reform into its original shape when heated. This makes it useful for medical devices such as bone replacements, where minimally invasive surgery techniques require additional flexibility in implant materials.
Steve Bosserman

Want to Kill Your Economy? Have MBA Programs Churn out Takers Not Makers. - Evonomics - 0 views

  • Why has business education failed business? Why has it fallen so much in love with finance and the ideas it espouses? It’s a problem with deep roots, which have been spreading for decades. It encompasses issues like the rise of neoliberal economic views as a challenge to the postwar threat of socialism. It’s about an academic inferiority complex that propelled business educators to try to emulate hard sciences like physics rather than take lessons from biology or the humanities. It dovetails with the growth of computing power that enabled complex financial modeling. The bottom line, though, is that far from empowering business, MBA education has fostered the sort of short-term, balance-sheet-oriented thinking that is threatening the economic competitiveness of the country as a whole. If you wonder why most businesses still think of shareholders as their main priority or treat skilled labor as a cost rather than an asset—or why 80 percent of CEOs surveyed in one study said they’d pass up making an investment that would fuel a decade’s worth of innovation if it meant they’d miss a quarter of earnings results— it’s because that’s exactly what they are being educated to do.
Steve Bosserman

Marcy Wheeler: On "Fake News" | naked capitalism - 0 views

  • First, underlying most of this argument is an argument about what happens when you subject the telling of true stories to certain conditions of capitalism. There is often a tension in this process, as capitalism may make “news” (and therefore full participation in democracy) available to more people, but to popularize that news, businesses do things that taint the elite’s idealized notion of what true story telling in a democracy should be
  • Finally, one reason there is such a panic about “fake news” is because the western ideology of neoliberalism has failed. It has led to increased authoritarianism, decreased qualify of life in developed countries (but not parts of Africa and other developing nations), and it has led to serial destabilizing wars along with the refugee crises that further destabilize Europe. It has failed in the same way that communism failed before it, but the elites backing it haven’t figured this out yet.
Bill Fulkerson

How Uber Uses Psychological Tricks to Push Its Drivers' Buttons - The New York Times - 0 views

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    "Uber exists in a kind of legal and ethical purgatory, however. Because its drivers are independent contractors, they lack most of the protections associated with employment. By mastering their workers' mental circuitry, Uber and the like may be taking the economy back toward a pre-New Deal era when businesses had enormous power over workers and few checks on their ability to exploit it."
Steve Bosserman

The Conversation About Basic Income is a Mess. Here's How to Make Sense of It. | naked ... - 0 views

  • UBI is in fact not a single proposal. It’s a field of proposals that’s perhaps better thought of as a philosophical intervention, a new conception of macro-economic and political structure. It’s unusual to argue wholeheartedly against representative government, taxation or universal suffrage, while it is common to disagree on which party should govern, whether taxes should be raised or cut, and particular elements of voting procedure. In the same way, we shouldn’t argue all-out for or against UBI but instead inspect the make-up of each approach to it – that’s where we can find not only meaningful debate, but also possibilities for working out what we might actually want.
  • The most important distinguishing feature between the different iterations of UBI is where the funding comes from. Wrapped up in this are ancillary questions: what would a UBI replace, compensate for, or complement in the rest of the economy? What would the knock-on effects be for social welfare and the government’s responsibility to its citizens? Who gets the money is another question worth looking at (just how ‘universal’ is the income?), as is its amount and regularity.
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