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Bill Fulkerson

The divide between mainstream macro and MMT is irreconcilable - Part 3 | Bill Mitchell ... - 0 views

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    "This is Part 3 (and final) of my series responding to an iNET claim that Modern Monetary Theory (MMT) and mainstream macroeconomics were essentially at one in the way they understand the economy but differ on matters of which policy instrument (fiscal or monetary) to assign to counter stabilisation duties. In Part 1, I demonstrated how the core mainstream macroeconomic concepts bear no correspondence with the core MMT concepts, so it was surprising that someone would try to run an argument that the practical differences were really about policy assignment. In Part 2, we saw how the iNET authors created a stylised version of mainstream macroeconomics that ignored the fundamental building blocks (how they reach their conclusions about the real world), which means that they ignore important differences in the way MMT economists and mainstream macroeconomists interpret a given economic state. I will elaborate on that in this final part. Further, by reducing the body of work now known as MMT to be just 'functional finance', the iNET authors also, effectively, abandon any valid comparison between MMT and the mainstream, although they do not acknowledge that sleight of hand. The series so far is: 1. The divide between mainstream macro and MMT is irreconcilable - Part 1 2. The divide between mainstream macro and MMT is irreconcilable - Part 2"
Steve Bosserman

It wasn't just hate. Fascism offered robust social welfare - Sheri Berman | Aeon Ideas - 0 views

  • There can be no question that violence and racism were essential traits of fascism. But for most Italians, Germans and other European fascists, the appeal was based not on racism, much less ethnic cleansing, but on the fascists’ ability to respond effectively to crises of capitalism when other political actors were not. Fascists insisted that states could and should control capitalism, that the state should and could promote social welfare, and that national communities needed to be cultivated. The fascist solution ultimately was, of course, worse than the problem. In response to the horror of fascism, in part, New Deal Democrats in the United States, and social democratic parties in Europe, also moved to re-negotiate the social contract. They promised citizens that they would control capitalism and provide social welfare policies and undertake other measures to strengthen national solidarity – but without the loss of freedom and democracy that fascism entailed.
  • The lesson for the present is clear: you can’t beat something with nothing. If other political actors don’t come up with more compelling solutions to the problems of capitalism, the popular appeal of the resurgent Right-wing will continue. And then the analogy with fascism and democratic collapse of the interwar years might prove even more relevant than it is now.
Steve Bosserman

For better AI, diversify the people building it - 0 views

  • Lyons announced the Partnership on AI’s first three working groups, which are dedicated to fair, transparent, and accountable AI; safety-critical AI; and AI, labor, and the economy. Each group will have a for-profit and nonprofit chair and aim to share its results as widely as possible. Lyons says these groups will be like a “union of concerned scientists.” “A big part of this is on us to really achieve inclusivity,” she says. Tess Posner, the executive director of AI4ALL, a nonprofit that runs summer programs teaching AI to students from underrepresented groups, showed why training a diverse group for the next generation of AI workers is essential. Currently, only 13 percent of AI companies have female CEOs, and less than 3 percent of tenure-track engineering faculty in the US are black. Yet an inclusive workforce may have more ideas and can spot problems with systems before they happen, and diversity can improve the bottom line. Posner pointed out a recent Intel report saying diversity could add $500 billion to the US economy.
  • “It’s good for business,” she says. These weren’t the first presentations at EmTech Digital by women with ideas on fixing AI. On Monday, Microsoft researcher Timnit Gebru presented examples of bias in current AI systems, and earlier on Tuesday Fast.ai cofounder Rachel Thomas talked about her company’s free deep-learning course and its effort to diversify the overall AI workforce. Even with the current problems achieving diversity, there are more women and people of color that could be brou
  • ght into the workforce.
Steve Bosserman

New houses in Puerto Rico designed to survive future storms - 0 views

  • The design is “based on what we know is affordable housing in Puerto Rico for a single family,” says Hector Ralat, an architect based in the firm’s Puerto Rican office. “But the focus was to alter the DNA of that knowledge and to put in the essential components that someone would need to sustain living conditions for at least two weeks, which is the recommended time here for someone to receive aid after a disaster.” The houses will likely cost around $120,000, a number that lets homeowners access favorable interest rates on mortgages. The units can be stacked on top of each other; in Villalba, most of the community will be three stories high (the solar will serve the whole building).
  • “We just know our product is better than stick-built construction in these types of dangerous environments,” says Paul Galvin, chairman and CEO of SG Blocks, the parent company of SG Residential. “Heavy-gauge steel structures are just designed to a high tolerance for the effects of climate change.” The houses, most of which will have two bedrooms, will start at $90,000 to $130,000. It might be possible to build cheaper houses, Galvin says, but the company is “trying to deliver product that is quality-driven, in that it’s going to be built once and it’s not going to be destroyed every storm.” The company is also working with a bank to create a mortgage that is similar in monthly cost to a car payment. The design can incorporate solar panels.
  • HiveCube, another modular housing company, is also using shipping containers, and has targeted a much lower cost–the houses start at $39,000 for a two-bedroom home. “We believe that your safety should not be a matter of income, but a given when you are planning to buy a home for your family,” says María Velasco, cofounder of HiveCube. The homes are designed to be fully off the grid, with solar power and batteries, a rainwater collection system, and a gray and black water treatment system that uses plants and bacteria to treat wastewater instead of septic tanks.
Steve Bosserman

The Boundary Between Our Bodies and Our Tech - Pacific Standard - 0 views

  • At the beginning of his recent book, The Internet of Us, Lynch uses a thought experiment to illustrate how thin this boundary is. Imagine a device that could implant the functions of a smartphone directly into your brain so that your thoughts could control these functions. It would be a remarkable extension of the brain's abilities, but also, in a sense, it wouldn't be all that different from our current lives, in which the varied and almost limitless connective powers of the smartphone are with us nearly 100 percent of the time, even if they aren't—yet—a physiological part of us.
  • The debate over what it means for us to be so connected all the time is still in its infancy, and there are wildly differing perspectives on what it could mean for us as a species. One result of these collapsing borders, however, is less ambiguous, and it's becoming a common subject of activism and advocacy among the technologically minded. While many of us think of the smartphone as a portal for accessing the outside world, the reciprocity of the device, as well as the larger pattern of our behavior online, means the portal goes the other way as well: It's a means for others to access us.
  • "This is where the fundamental democracy deficit comes from: You have this incredibly concentrated private power with zero transparency or democratic oversight or accountability, and then they have this unprecedented wealth of data about their users to work with," Weigel says. "We've allowed these private companies to take over a lot of functions that we have historically thought of as public functions or social goods, like letting Google be the world's library. Democracy and the very concept of social goods—that tradition is so eroded in the United States that people were ready to let these private companies assume control."
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  • Lynch, the University of Connecticut philosophy professor, also believes that one of our best hopes comes from the bottom up, in the form of actually educating people about the products that they spend so much time using. We should know and be aware of how these companies work, how they track our behavior, and how they make recommendations to us based on our behavior and that of others. Essentially, we need to understand the fundamental difference between our behavior IRL and in the digital sphere—a difference that, despite the erosion of boundaries, still stands."Whether we know it or not, the connections that we make on the Internet are being used to cultivate an identity for us—an identity that is then sold to us afterward," Lynch says. "Google tells you what questions to ask, and then it gives you the answers to those questions."
Steve Bosserman

Modern grocery and the emerging-market consumer: A complicated courtship | McKinsey & C... - 0 views

  • In the 1990s, the term “modern grocery retail” was essentially a proxy for a small group of multinational grocers including Ahold, Aldi, Auchan, Carrefour, Costco, Lidl, Metro, Tesco, and Walmart. It was widely presumed that these retailers’ entry into any market would lead to the demise of the traditional trade—the family-owned grocery chains, small independent stores, and informal merchants that at the time accounted for the vast majority of grocery sales in emerging markets. The prevailing expectation was that although there would be local differences due to cultural specificities, in every country the retail landscape would eventually consist of a combination of modern formats: full-line supermarkets and hypermarkets, convenience stores, and discounters. These assumptions have been proved wrong. Global grocery giants are struggling to grow profitably in many emerging markets. Traditional trade has proved remarkably resilient. And the market and channel structures taking shape in individual emerging economies are distinct from one another, following no obvious pattern.
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.
Steve Bosserman

The meaning of life in a world without work | Technology | The Guardian - 0 views

  • The crucial problem isn’t creating new jobs. The crucial problem is creating new jobs that humans perform better than algorithms. Consequently, by 2050 a new class of people might emerge – the useless class. People who are not just unemployed, but unemployable.
  • The same technology that renders humans useless might also make it feasible to feed and support the unemployable masses through some scheme of universal basic income. The real problem will then be to keep the masses occupied and content. People must engage in purposeful activities, or they go crazy. So what will the useless class do all day?
  • In any case, the end of work will not necessarily mean the end of meaning, because meaning is generated by imagining rather than by working. Work is essential for meaning only according to some ideologies and lifestyles. Eighteenth-century English country squires, present-day ultra-orthodox Jews, and children in all cultures and eras have found a lot of interest and meaning in life even without working. People in 2050 will probably be able to play deeper games and to construct more complex virtual worlds than in any previous time in history.
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