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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
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
Bill Fulkerson

The Profit Hoarders - 0 views

jacobinmag.com/...vestment-profits-united-states

profit capitalism

shared by Bill Fulkerson on 14 Sep 17 - No Cached
  • Bill Fulkerson on 14 Sep 17
     
    "If corporations returned to the practices of the pre-neoliberal era (1952-1983, to be precise), stuffing not half but less than a fifth of their cash flow in their shareholders' pockets, that could take net investment back to its old average. But under today's model of capitalism, it's more important to keep the shareholders happy."
Steve Bosserman

Hometown Proud: IGA's Business Model Brilliance - 0 views

tedium.co/...lliance-history-hometown-proud

food retail business models grocery stores

shared by Steve Bosserman on 23 Nov 18 - No Cached
  • And it’s all out of a desire to maximize profits. But what if, like IGA, newspaper companies didn’t solely exist to maximize that profit, but to respect the value of the local community? What if Gannett decided to donate one of its papers to a local philanthropist who has a larger stake in the community than Gannett does? Gannett could help run some of the most profitable and technical functions, but the company would otherwise be hands-off on how to control the paper. It could offer some guidelines, but the destiny’s in the community’s hands.
  • That approach is what IGA does, largely. The store stays in local hands, with local interests, and local history. IGA helps them keep up with trends, without losing track of the store’s identity in the process.
  • And, largely, it works. It really should be studied in business books.
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.
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  • 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

High score, low pay: why the gig economy loves gamification | Business | The Guardian - 0 views

www.theguardian.com/...ivers-ride-hailing-gig-economy

gamification gig economy taxi service incentive productivity profit

shared by Steve Bosserman on 23 Nov 18 - No Cached
  • Simply defined, gamification is the use of game elements – point-scoring, levels, competition with others, measurable evidence of accomplishment, ratings and rules of play – in non-game contexts. Games deliver an instantaneous, visceral experience of success and reward, and they are increasingly used in the workplace to promote emotional engagement with the work process, to increase workers’ psychological investment in completing otherwise uninspiring tasks, and to influence, or “nudge”, workers’ behaviour.
  • According to Burawoy, production at Allied was deliberately organised by management to encourage workers to play the game. When work took the form of a game, Burawoy observed, something interesting happened: workers’ primary source of conflict was no longer with the boss. Instead, tensions were dispersed between workers (the scheduling man, the truckers, the inspectors), between operators and their machines, and between operators and their own physical limitations (their stamina, precision of movement, focus). The battle to beat the quota also transformed a monotonous, soul-crushing job into an exciting outlet for workers to exercise their creativity, speed and skill. Workers attached notions of status and prestige to their output, and the game presented them with a series of choices throughout the day, affording them a sense of relative autonomy and control. It tapped into a worker’s desire for self-determination and self-expression. Then, it directed that desire towards the production of profit for their employer.
  • Former Google “design ethicist” Tristan Harris has also described how the “pull-to-refresh” mechanism used in most social media feeds mimics the clever architecture of a slot machine: users never know when they are going to experience gratification – a dozen new likes or retweets – but they know that gratification will eventually come. This unpredictability is addictive: behavioural psychologists have long understood that gambling uses variable reinforcement schedules – unpredictable intervals of uncertainty, anticipation and feedback – to condition players into playing just one more round.
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  • Gaming the game, Burawoy observed, allowed workers to assert some limited control over the labour process, and to “make out” as a result. In turn, that win had the effect of reproducing the players’ commitment to playing, and their consent to the rules of the game. When players were unsuccessful, their dissatisfaction was directed at the game’s obstacles, not at the capitalist class, which sets the rules. The inbuilt antagonism between the player and the game replaces, in the mind of the worker, the deeper antagonism between boss and worker. Learning how to operate cleverly within the game’s parameters becomes the only imaginable option. And now there is another layer interposed between labour and capital: the algorithm.
Steve Bosserman

'Forget the Facebook leak': China is mining data directly from workers' brains on an in... - 0 views

www.scmp.com/...g-data-directly-workers-brains

employees china brain-reading data mining surveillance

shared by Steve Bosserman on 01 May 18 - No Cached
  • The technology is in widespread use around the world but China has applied it on an unprecedented scale in factories, public transport, state-owned companies and the military to increase the competitiveness of its manufacturing industry and to maintain social stability.
  • Jin said that at present China’s brain-reading technology was on a par with that in the West but China was the only country where there had been reports of massive use of the technology in the workplace.
  • With improved speed and sensitivity, the device could even become a “mental keyboard” allowing the user to control a computer or mobile phone with their mind.
  • ...3 more annotations...
  • Qiao Zhian, professor of management psychology at Beijing Normal University, said that while the devices could make businesses more competitive the technology could also be abused by companies to control minds and infringe privacy, raising the spectre of “thought police”.
  • “There is no law or regulation to limit the use of this kind of equipment in China. The employer may have a strong incentive to use the technology for higher profit, and the employees are usually in too weak a position to say no,” he said.
  • Lawmakers should act now to limit the use of emotion surveillance and give workers more bargaining power to protect their interests, Qiao said. “The human mind should not be exploited for profit,” he said.
Steve Bosserman

The wealth of our collective data should belong to all of us | Chris Hughes - 0 views

www.theguardian.com/...ook-google-data-tax-regulation

data mining

shared by Steve Bosserman on 28 Apr 18 - No Cached
  • Nearly every moment of our lives, we’re producing data about ourselves that companies profit from. Our smartwatches know when we wake up, Alexa listens to our private conversations, our phones track where we go, Google knows what we email and search, Facebook knows what we share with friends, and our loyalty cards remember what we buy. We share all this data about ourselves because we like the services these companies provide, and business leaders tell us we must to make it possible for those services to be cheap or free.
  • We should not only expect that these companies better protect our data – we should also ensure that everyone creating it shares in the economic value it generates. One person’s data is worth little, but the collection of lots of people’s data is what fuels the insights that companies use to make more money or networks, like Facebook, that marketers are so attracted to. Data isn’t the “new oil”, as some have claimed: it isn’t a non-renewable natural resource that comes from a piece of earth that a lucky property owner controls. We have all pitched in to create a new commonwealth of information about ourselves that is bigger than any single participant, and we should all benefit from it.
  • The value of our data has a lot in common with the value of our labor: a single individual worker, outside of the rarest professions, can be replaced by another with similar skills. But when workers organize to withhold their labor, they have much more power to ensure employers more fairly value it. Just as one worker is an island but organized workers are a force to be reckoned with, the users of digital platforms should organize not only for better protection of our data, but for a new contract that ensures everyone shares in the historic profits we make possible.
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  • A data dividend would be a powerful way to rebalance the American economy, which currently makes it possible for a very small number of people to get rich while everyone else struggles to make ends meet.
  • A data dividend on its own would not be enough to stem growing income inequality, but it would create a universal benefit that would guarantee people benefit from the collective wealth our economy is creating more than they do today. If paired with fairer wages, more progressive taxation, and stricter enforcement of monopoly and monopsony power, it could help us turn the corner and create a country where we take care of one another and ensure that everyone has basic economic security.
Steve Bosserman

Google and corporate news giants forge new alliance - 0 views

nexusnewsfeed.com/...news-giants-forge-new-alliance

independent press algorithms streamlining mainstream media

shared by Steve Bosserman on 28 Apr 18 - No Cached
  • The “new media” monopolists of Silicon Valley and the once-dominant traditional print media have clearly agreed that the “fake news” frenzy is a convenient pretext to step up their censorship of the internet through new algorithms, allowing them to boost their profit margins and silence opposition through a new framework of “algorithmic censorship.”
  • Last April, Google clamped down on alternative media with new structural changes to its algorithms — accompanying the change with an announcement tarring alternative media with the broad black brush of “misleading information, unexpected offensive results, hoaxes and unsupported conspiracy theories” as opposed to what it called “authoritative content.”As a result, organic search-engine traffic to these sites uniformly plummeted to less than half of what it had previously been, devastating many publishers.
  • The “new media” monopolists of Silicon Valley and the once-dominant traditional print media have clearly agreed that the “fake news” frenzy is a convenient pretext to step up their censorship of the internet through new algorithms, allowing them to boost their profit margins and silence opposition through a new framework of “algorithmic censorship.”This new model overwhelmingly favors those who see information and journalism as an article of commerce alone. It poses a stark threat not only to internet users’ ability to access information, but to the ability of citizens and social movements that hope to interact with, participate in, and wield influence over the political and economic activities that determine our lives and the fate of communities across the world.
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