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Steve Bosserman

STARBUCKS CEO: We're going to hire 10,000 refugees - 0 views

finance.yahoo.com/...-10000-refugees-234034929.html

immigrants refugees employment opportunity

shared by Steve Bosserman on 02 Feb 17 - No Cached
  • He continued: “There are more than 65 million citizens of the world recognized as refugees by the United Nations, and we are developing plans to hire 10,000 of them over five years in the 75 countries around the world where Starbucks does business.
  • Steve Bosserman on 02 Feb 17
     
    Alternative: create in-country employment opportunities for people BEFORE they choose to emigrate or circumstances force them to become refugees.
Bill Fulkerson

Anatomy of an AI System - 1 views

anatomyof.ai

AI amazon

shared by Bill Fulkerson on 14 Sep 18 - No Cached
  • Bill Fulkerson on 14 Sep 18
     
    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Steve Bosserman

What is the gig economy? - The Washington Post - 0 views

www.washingtonpost.com/...8-ad8f-27a8c409298b_story.html

shared by Steve Bosserman on 12 May 18 - No Cached
  • The unemployment rate is at a 17-year low, but stagnant wages, chronic underemployment and growing inequality are leading more Americans to take on so-called side hustles. Some want to supplement their incomes. Others are just trying to eke out a living. Nearly 1 in 4 Americans now earn money from the digital “platform economy,” according to the Pew Research Center. Most of that work is for domestic tasks, such as housecleaning and repairs, or driving for companies such as Uber.
  • But labor experts say companies such as Snag Work could set a dangerous precedent. Employers are already wary of hiring full-time employees because of overtime and health-care costs, they say, and having a pool of potential gig workers at the ready could make matters worse for those seeking the stability, benefits and protections that come with full-time work.
Bill Fulkerson

Why a 400-Year Program of Modernist Thinking is Exploding | naked capitalism - 0 views

www.nakedcapitalism.com/...ernist-thinking-exploding.html

capitalism power society

shared by Bill Fulkerson on 11 Mar 17 - No Cached
  • Bill Fulkerson on 11 Mar 17
     
    " Fearless commentary on finance, economics, politics and power Follow yvessmith on Twitter Feedburner RSS Feed RSS Feed for Comments Subscribe via Email SUBSCRIBE Recent Items Links 3/11/17 - 03/11/2017 - Yves Smith Deutsche Bank Tries to Stay Alive - 03/11/2017 - Yves Smith John Helmer: Australian Government Trips Up Ukrainian Court Claim of MH17 as Terrorism - 03/11/2017 - Yves Smith 2:00PM Water Cooler 3/10/2017 - 03/10/2017 - Lambert Strether Why a 400-Year Program of Modernist Thinking is Exploding - 03/10/2017 - Yves Smith Links 3/10/17 - 03/10/2017 - Yves Smith Why It Will Take a Lot More Than a Smartphone to Get the Sharing Economy Started - 03/10/2017 - Yves Smith CalPERS' General Counsel Railroads Board on Fiduciary Counsel Selection - 03/10/2017 - Yves Smith Another Somalian Famine - 03/10/2017 - Yves Smith Trade now with TradeStation - Highest rated for frequent traders Why a 400-Year Program of Modernist Thinking is Exploding Posted on March 10, 2017 by Yves Smith By Lynn Parramore, Senior Research Analyst at the Institute for New Economic Thinking. Originally published at the Institute for New Economic Thinking website Across the globe, a collective freak-out spanning the whole political system is picking up steam with every new "surprise" election, rush of tormented souls across borders, and tweet from the star of America's great unreality show, Donald Trump. But what exactly is the force that seems to be pushing us towards Armageddon? Is it capitalism gone wild? Globalization? Political corruption? Techno-nightmares? Rajani Kanth, a political economist, social thinker, and poet, goes beyond any of these explanations for the answer. In his view, what's throwing most of us off kilter - whether we think of ourselves as on the left or right, capitalist or socialist -was birthed 400 years ago during the period of the Enlightenment. It's a set of assumptions, a particular way of looking at the world that pushed out previous modes o
Steve Bosserman

Which Industries Are Investing in Artificial Intelligence? - 0 views

priceonomics.com/es-are-investing-in-artificial

artificial intelligence machine learning investment future trends

shared by Steve Bosserman on 29 Nov 18 - No Cached
  • The term artificial intelligence typically refers to automation of tasks by software that previously required human levels of intelligence to perform. While machine learning is sometimes used interchangeably with AI, machine learning is just one sub-category of artificial intelligence whereby a device learns from its access to a stream of data.When we talk about AI spending, we’re typically talking about investment that companies are making in building AI capabilities. While this may change in the future, McKinsey estimates that the vast majority of spending is done internally or as an investment, and very little of it is done purchasing artificial intelligence applications from other businesses.
  • 62% of AI spending in 2016 was for machine learning, twice as much as the second largest category computer vision. It’s worth noting that these categories are all types of “narrow” (or “weak”) forms of AI that use data to learn about and accomplish a specific narrowly defined task. Excluded from this report is “general” (or “strong”) artificial intelligence which is more akin to trying to create a thinking human brain.
  • The McKinsey survey mostly fits well as evidence supporting Cross’s framework that large profitable industries are the most fertile grounds of AI adoption. Not surprisingly, Technology is the industry with highest AI adoption and financial services also makes the top three as Cross would predict.Notably, automotive and assembly is the industry with the second highest rate of AI adoption in the McKinsey survey. This may be somewhat surprising as automotive isn’t necessarily an industry with the reputation for high margins. However, the use cases of AI for developing self-driving cars and cost savings using machine learning to improve manufacturing and procurement efficiencies are two potential drivers of this industry’s adoption.
  • ...2 more annotations...
  • AI jobs are much more likely to be unfilled after 60 days compared to the typical job on Indeed, which is only unfilled a quarter of the time. As the demand for AI talent continues to grow faster than the supply, there is no indication this hiring cycle will become quicker anytime soon.
  • One thing we know for certain is that it is very expensive to attract AI talent, given that starting salaries for entry-level talent exceed $300,000. A good bet is that the companies that invest in AI are the ones with healthy enough profit margins that they can afford it.
Steve Bosserman

Millennials are struggling. Is it the fault of the baby boomers? - 0 views

www.theguardian.com/...ers-intergenerational-fairness

boomers millennials

shared by Steve Bosserman on 02 May 18 - No Cached
  • Anthropologist Helen Fisher inelegantly described the maturing of this huge postwar bulge in the population as “like a pig moving through a python”, changing society as we grew older on a scale never known before. We challenged the Victorian puritanism, censorship, class snobbery and inhibitions of the establishment. Full employment put money in the pockets of managers and factory workers alike. In spanking new houses with inside lavatories and proper bathrooms, hire purchase allowed him (and less so, her) to spend, spend, spend as if, overnight, everyone had become a toff. It could only get better. Yet today, “baby boomer” is a toxic phrase, shorthand for greed and selfishness, for denying the benefits we took for granted to subsequent generations, notably beleaguered millennials, who reached adulthood in the early years of this century. So, where did it all go so very wrong?
Steve Bosserman

Why the utopian vision of William Morris is now within reach - Vasilis Kostakis and Wol... - 0 views

aeon.co/...iam-morris-is-now-within-reach

peer production cooperatives commons

shared by Steve Bosserman on 04 May 18 - No Cached
  • In News from Nowhere, Morris imagined a world in which human happiness and economic activity coincided. He reminds us that there needs to be a point to labour beyond making ends meet – and there is. Unalienated labour creates happiness for all – consumer and creator; whereas modern capitalism, in contrast, has created a treadmill in which this aspect of work has been lost. Capitalism, he explains, locks the capitalist into a horrible life, which leads nowhere but the grave.
  • No matter where they are based, people today can use the internet to cooperate and globally share the products of their cooperation as a commons. Commons-based peer production (usually abbreviated as CBPP) is fundamentally different from the dominant modes of production under industrial capitalism. In the latter, owners of means of production hire workers, direct the work process, and sell products for profit-maximisation. Think how typical multinational corporations are working. Such production is organised by allocating resources through the market (pricing) and through hierarchical command. In contrast, CBPP is in principle open to anyone with the relevant skills to contribute to a common project: the knowledge of every participant is pooled.
  • These participants might be paid, but not necessarily. Since commons-based projects are open systems, anyone with the right knowledge and skills can contribute, either paid by companies, clients or not at all.
  • ...4 more annotations...
  • What is light (knowledge, design) becomes global; what is heavy (manufacturing) is local and shared
  • When social groups appropriate a particular technology for their own purposes, then social, political and economic systems can change
  • CBPP allows contributions based on all kinds of motivations such as the need to learn or to communicate. However, most importantly, a key incentive is the desire to create something mutually useful to those contributing. This also generally means that people contribute because they find it meaningful and useful, and they believe the resulting product worthwhile.
  • The design is developed and improved as a global digital commons, while the manufacturing often takes place through shared infrastructures and with local biophysical conditions in mind.
Steve Bosserman

This Ungoverned Haitian City Is Fighting to Stay Alive - 0 views

www.ozy.com/...85691

haiti governance

shared by Steve Bosserman on 15 May 18 - No Cached
  • Built from scratch by people in poorly governed, disaster-stricken Haiti, the city is emerging as an alternative model of urban existence — and its struggle is holding out lessons for similar future pockets that spring up in the aftermath of disasters.
  • The UN estimates there are 65 million displaced persons in the world today, more than at any time since World War II. Most live in camps where their lives are tightly restricted by host governments. They are barred from owning land or holding jobs, destined to remain dependent on foreign aid.
  • Canaan is the opposite. Instead of being micro-managed, it has no formal government at all. The pioneers of Canaan formed hundreds of committees that each work on a particular task or oversee the development of a particular neighborhood. These informal power structures give street names to the dirt alleyways, and set aside space for future hospitals and schools.
  • ...1 more annotation...
  • Whether Canaan flourishes or fails, this ungoverned Haitian city may yet give the world a lesson in post-disaster urbanism.
Steve Bosserman

Are You Creditworthy? The Algorithm Will Decide. - 0 views

undark.org/...redit-scoring-machine-learning

algorithms discrimination bias credit scoring

shared by Steve Bosserman on 12 May 18 - No Cached
  • The decisions made by algorithmic credit scoring applications are not only said to be more accurate in predicting risk than traditional scoring methods; its champions argue they are also fairer because the algorithm is unswayed by the racial, gender, and socioeconomic biases that have skewed access to credit in the past.
  • Algorithmic credit scores might seem futuristic, but these practices do have roots in credit scoring practices of yore. Early credit agencies, for example, hired human reporters to dig into their customers’ credit histories. The reports were largely compiled from local gossip and colored by the speculations of the predominantly white, male middle class reporters. Remarks about race and class, asides about housekeeping, and speculations about sexual orientation all abounded.
  • By 1935, whole neighborhoods in the U.S. were classified according to their credit characteristics. A map from that year of Greater Atlanta comes color-coded in shades of blue (desirable), yellow (definitely declining) and red (hazardous). The legend recalls a time when an individual’s chances of receiving a mortgage were shaped by their geographic status.
  • ...1 more annotation...
  • These systems are fast becoming the norm. The Chinese Government is now close to launching its own algorithmic “Social Credit System” for its 1.4 billion citizens, a metric that uses online data to rate trustworthiness. As these systems become pervasive, and scores come to stand for individual worth, determining access to finance, services, and basic freedoms, the stakes of one bad decision are that much higher. This is to say nothing of the legitimacy of using such algorithmic proxies in the first place. While it might seem obvious to call for greater transparency in these systems, with machine learning and massive datasets it’s extremely difficult to locate bias. Even if we could peer inside the black box, we probably wouldn’t find a clause in the code instructing the system to discriminate against the poor, or people of color, or even people who play too many video games. More important than understanding how these scores get calculated is giving users meaningful opportunities to dispute and contest adverse decisions that are made about them by the algorithm.
Steve Bosserman

The Booming Industry Emerging From Louisiana's Vanishing Coast | Fast Forward | OZY - 0 views

www.ozy.com/...77380

climate change louisiana redeployment workforce employment

shared by Steve Bosserman on 25 May 17 - No Cached
  • According to a 2016 study by the nonprofit Greater New Orleans, this fledgling water workforce will grow by more than 20 percent over the next 10 years, creating more than 13,600 snazzy new titles like conservation technician, civil engineer and environmental scientist that pay an average of $69,277, well above the national average salary. “Louisiana is one of the first to turn the issue of climate change from an environmental one to an existential and economic one … through the cutting-edge jobs of the future,” claims Greater New Orleans’ executive vice president and chief operating officer Robin Barnes. Which is the city’s way of putting up a NOW HIRING billboard.
  • Meanwhile, troubled coastal cities around the world are taking note, says Bren Haase, head of planning for the Coastal Protection and Restoration Authority. With a playbook in place, Louisiana already boasts a 50-year, $50 billion plan to rebuild the state’s coasts, one that’s grounded in decades of data and science; it’s also being translated into several languages, including Vietnamese, Spanish and French, for other countries to reference. Flush with billions of dollars from the settlement in the catastrophic BP oil spill, the Coastal Master Plan could hold key clues for other places facing a similar fate in the future, says Haase, including flood-risk areas like New York, London, Singapore and Kiribati. Moreover, Louisiana’s coastal restoration sector is fueling high-tech projects like artificial oyster reef creation, advanced hydrologic modeling and geosynthetics, which will help shore up the state’s defenses against behemoth hurricanes and oil spills.
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