Skip to main content

Home/ GAVNet Collaborative Curation/ Group items tagged capability

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
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
Steve Bosserman

Creating robots capable of moral reasoning is like parenting | Aeon Essays - 0 views

aeon.co/...al-reasoning-is-like-parenting

artificial intelligence machine learning ethics morality decision-making

shared by Steve Bosserman on 18 Apr 17 - No Cached
  • Intelligent machines will be our intellectual children, our progeny. They will start off inheriting many of our moral norms, because we will not allow anything else. But they will come to reflect on their nature, including their relationships with us and with each other. If we are wise and benevolent, we will have prepared the way for them to make their own choices – just as we do with our adolescent children.What does this mean in practice? It means being ready to accept that machines might eventually make moral decisions that none of us find acceptable. The only condition is that they must be able to give intelligible reasons for what they’re doing. An intelligible reason is one you can at least see why someone might find morally motivating, even if you don’t necessarily agree.
Bill Fulkerson

How humans use objects in novel ways to solve problems - 0 views

medicalxpress.com/...0-11-humans-ways-problems.html

novel objects problems humans

shared by Bill Fulkerson on 25 Nov 20 - No Cached
  • Bill Fulkerson on 25 Nov 20
     
    Human beings are naturally creative tool users. When we need to drive in a nail but don't have a hammer, we easily realize that we can use a heavy, flat object like a rock in its place. When our table is shaky, we quickly find that we can put a stack of paper under the table leg to stabilize it. But while these actions seem so natural to us, they are believed to be a hallmark of great intelligence-only a few other species use objects in novel ways to solve their problems, and none can do so as flexibly as people. What provides us with these powerful capabilities for using objects in this way?
Bill Fulkerson

Growth+Sales: The New Era of Enterprise Go-to-Market - Andreessen Horowitz - 0 views

a16z.com/...era-of-enterprise-go-to-market

top-down growth sales enterprise

shared by Bill Fulkerson on 29 Jul 20 - No Cached
  • Bill Fulkerson on 29 Jul 20
     
    Most recent macro trends - cloud compute, social, mobile, crypto, AI - that have reshaped the technology landscape are rooted in new technical capabilities or pushing the frontier of product form factors. Another shock to the system is emerging today, driven not by the underlying technology, but by an evolution in customer buying behavior. For shorthand, we think of this trend as "growth+sales": the bottom-up growth motion eventually layered with top-down sales.
Steve Bosserman

Jane Jacobs's Theories on Urban Planning-and Democracy in America - The Atlantic - 0 views

www.theatlantic.com/...501104

democracy urban design ecosystems diversity neighborhoods

shared by Steve Bosserman on 17 Nov 16 - No Cached
  • Urban life was Jacobs’s great subject. But her great theme was the fragility of democracy—how difficult it is to maintain, how easily it can crumble. A city offered the perfect laboratory in which to study democracy’s intricate, interconnected gears and ballistics. “When we deal with cities,” she wrote in The Death and Life of Great American Cities (1961), “we are dealing with life at its most complex and intense.” When cities succeed, they represent the purest manifestation of democratic ideals: “Cities have the capability of providing something for everybody, only because, and only when, they are created by everybody.” When cities fail, they fail for the same reasons democracies fail: corruption, tyranny, homogenization, overspecialization, cultural drift and atrophy.
  • I was encouraged to believe that simple conformity results in stagnation for a society, and that American progress has been largely owing to the opportunity for experimentation, the leeway given initiative, and to a gusto and a freedom for chewing over odd ideas. I was taught that the American’s right to be a free individual, not at the mercy of the state, was hard-won and that its price was eternal vigilance, that I too would have to be vigilant.
  • Her 1,500-word speech, a version of which appears in Vital Little Plans, became the basis for The Death and Life of Great American Cities. Her main argument was Kirk’s: Small neighborhood stores, ignored by the planners in their grim demolition derby, were essential social hubs. She added that sidewalks, stoops, laundries, and mailbox areas were also indispensable centers of community activity, and that sterile, vacant outdoor space served nobody. “The least we can do,” she said, “is to respect—in the deepest sense—strips of chaos that have a weird wisdom of their own.”
  • ...5 more annotations...
  • Reduced to a word, Jacobs’s argument is that a city, or neighborhood, or block, cannot succeed without diversity: diversity of residential and commercial use, racial and socioeconomic diversity, diversity of governing bodies (from local wards to state agencies), diverse modes of transportation, diversity of public and private institutional support, diversity of architectural style. Great numbers of people concentrated in relatively small areas should not be considered a health or safety hazard; they are the foundation of a healthy community. Dense, varied populations are “desirable,” Jacobs wrote,
  • Madison argued that as you increase the “variety of parties and interests” contained within a republic, “you make it less probable that a majority of the whole will have a common motive to invade the rights of other citizens.”
  • “We need all kinds of diversity,” Jacobs concluded in Death and Life, “so the people of cities can sustain (and further develop) their society and civilization.”
  • In her comparative study of fallen empires, Jacobs identifies common early indicators of decline: “cultural xenophobia,” “self-imposed isolation,” and “a shift from faith in logos, reason, with its future-oriented spirit … to mythos, meaning conservatism that looks backwards to fundamentalist beliefs for guidance and a worldview.” She warns of the profligate use of plausible denial in American politics, the idea that “a presentable image makes substance immaterial,” allowing political campaigns “to construct new reality.” She finds further evidence of our hardening cultural sclerosis in the rise of the prison-industrial complex, the prioritization of credentials over critical thinking in the educational system, low voter turnout, and the reluctance to develop renewable forms of energy in the face of global ecological collapse.
  • In the foreword to the 1992 Modern Library edition of Death and Life, Jacobs likens cities to natural ecosystems. “Both types of ecosystems,” she writes, “require much diversity to sustain themselves … and because of their complex interdependencies of components, both kinds of ecosystems are vulnerable and fragile, easily disrupted or destroyed.”
Steve Bosserman

Applying AI for social good | McKinsey - 0 views

www.mckinsey.com/...l-intelligence-for-social-good

artificial intelligence united nations sustainable development social good

shared by Steve Bosserman on 01 Dec 18 - No Cached
  • Artificial intelligence (AI) has the potential to help tackle some of the world’s most challenging social problems. To analyze potential applications for social good, we compiled a library of about 160 AI social-impact use cases. They suggest that existing capabilities could contribute to tackling cases across all 17 of the UN’s sustainable-development goals, potentially helping hundreds of millions of people in both advanced and emerging countries. Real-life examples of AI are already being applied in about one-third of these use cases, albeit in relatively small tests. They range from diagnosing cancer to helping blind people navigate their surroundings, identifying victims of online sexual exploitation, and aiding disaster-relief efforts (such as the flooding that followed Hurricane Harvey in 2017). AI is only part of a much broader tool kit of measures that can be used to tackle societal issues, however. For now, issues such as data accessibility and shortages of AI talent constrain its application for social good.
  • The United Nations’ Sustainable Development Goals (SDGs) are among the best-known and most frequently cited societal challenges, and our use cases map to all 17 of the goals, supporting some aspect of each one (Exhibit 3). Our use-case library does not rest on the taxonomy of the SDGs, because their goals, unlike ours, are not directly related to AI usage; about 20 cases in our library do not map to the SDGs at all. The chart should not be read as a comprehensive evaluation of AI’s potential for each SDG; if an SDG has a low number of cases, that reflects our library rather than AI’s applicability to that SDG.
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

AI, automation, and the future of work: Ten things to solve for - 0 views

www.mckinsey.com/...f-work-ten-things-to-solve-for

technology automation workforce artificial intelligence workplace

shared by Steve Bosserman on 23 Nov 18 - No Cached
  • Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address “moonshot” societal challenges in areas from health to climate change.
  • At the same time, these technologies will transform the nature of work and the workplace itself. Machines will be able to carry out more of the tasks done by humans, complement the work that humans do, and even perform some tasks that go beyond what humans can do. As a result, some occupations will decline, others will grow, and many more will change.
  • While we believe there will be enough work to go around (barring extreme scenarios), society will need to grapple with significant workforce transitions and dislocation. Workers will need to acquire new skills and adapt to the increasingly capable machines alongside them in the workplace. They may have to move from declining occupations to growing and, in some cases, new occupations.
  • ...1 more annotation...
  • This executive briefing, which draws on the latest research from the McKinsey Global Institute, examines both the promise and the challenge of automation and AI in the workplace and outlines some of the critical issues that policy makers, companies, and individuals will need to solve for.
Steve Bosserman

He Jiankui defends 'world's first gene-edited babies' - BBC News - 0 views

www.bbc.com/...world-asia-china-46368731

shared by Steve Bosserman on 28 Nov 18 - No Cached
  • "If true, this experiment is monstrous. Gene editing itself is experimental and is still associated with off-target mutations, capable of causing genetic problems early and later in life, including the development of cancer," Prof Julian Savulescu, an ethics expert at the University of Oxford, told the BBC.
Steve Bosserman

Will AI replace Humans? - FutureSin - Medium - 0 views

medium.com/...ai-replace-humans-42c19c114cb8

humans robotics artificial intelligence

shared by Steve Bosserman on 26 Apr 18 - No Cached
  • According to the World Economic Forum’s Future of Jobs report, some jobs will be wiped out, others will be in high demand, but all in all, around 5 million jobs will be lost. The real question is then, how many jobs will be made redundant in the 2020s? Many futurists including Google’s Chief Futurist believe this will necessitate a universal human stipend that could become globally ubiquitous as early as the 2030s.
  • AI will optimize many of our systems, but also create new jobs. We don’t know the rate at which it will do this. Research firm Gartner further confirms the hypothesis of AI creating more jobs than it replaces, by predicting that in 2020, AI will create 2.3 million new jobs while eliminating 1.8 million traditional jobs.
  • In an era where it’s being shown we can’t even regulate algorithms, how will we be able to regulate AI and robots that will progressively have a better capacity to self-learn, self-engineer, self-code and self-replicate? This first wave of robots are simply robots capable of performing repetitive tasks, but as human beings become less intelligent trapped in digital immersion, the rate at which robots learn how to learn will exponentially increase.How do humans stay relevant when Big Data enables AI to comb through contextual data as would a supercomputer? Data will no longer be the purvey of human beings, neither medical diagnosis and many other things. To say that AI “augments” human in this respect, is extremely naive and hopelessly optimistic. In many respects, AI completely replaces the need for human beings. This is what I term the automation economy.
  • ...3 more annotations...
  • If China, Russia and the U.S. are in a race for AI supremacy, the kind of manifestations of AI will be so significant, they could alter the entire future of human civilization.
  • THE EXPONENTIAL THREATFrom drones, to nanobots to 3D-printing, automation could lead to unparalleled changes to how we live and work. In spite of the increase in global GDP, most people’s quality of living is not likely to see the benefit as it will increasingly be funneled into the pockets of the 1%. Capitalism then, favors the development of an AI that’s fundamentally exploitative to the common global citizen.Just as we exchanged our personal data for convenience and the illusion of social connection online, we will barter convenience for a world a global police state where social credit systems and AI decide how much of a “human stipend” (basic income) we receive. Our poverty or the social privilege we are born into, may have a more obscure relationship to a global system where AI monitors every aspect of our lives.Eventually AI will itself be the CEOs, inventors, master engineers and creator of more efficient robots. That’s when we will know that AI has indeed replaced human beings. What will Google’s DeepMind be able to do with the full use of next-gen quantum computing and supercomputers?
  • Artificial Intelligence Will Replace HumansTo argue that AI and robots and 3D-printing and any other significant technology won’t impact and replace many human jobs, is incredibly irresponsible.That’s not to say humans won’t adapt, and even thrive in more creative, social and meaningful work!That AI replacing repetitive tasks is a good thing, can hardly be denied. But will it benefit all globally citizens equally? Will ethics, common sense and collective pragmatism and social inclusion prevail over profiteers?Will younger value systems such as decentralization and sustainable living thrive with the advances of artificial intelligence?Will human beings be able to find sufficient meaning in a life where many of them won’t have a designated occupation to fill their time?These are the question that futurists like me ponder, and you should too.
Steve Bosserman

Amazon Is Finally Helping Developers Turn Alexa Skills Into Money - 0 views

www.fastcompany.com/...s-turn-alexa-skills-into-money

voice economy artificial economy

shared by Steve Bosserman on 06 May 18 - No Cached
  • Amazon is announcing general availability in the U.S. for in-skill purchasing, which allows the creator of a skill to sell content to an Alexa user–both one-off purchases and monthly or yearly subscriptions, with the entire transaction handled inside the skill via voice on a device such as an Echo or a third-party Alexa-compatible gadget. (As with mobile app stores, developers get 70% of the price paid by users, and Amazon collects 30% as its reward for facilitating the transaction.) In addition, the company is opening up the ability for sellers of real-world goods and services to receive payment via Alexa using the Amazon Pay service; early adopters include 1-800-Flowers, TGI Friday’s, and Atom Tickets.
  • With Alexa’s new monetization features just reaching broad availability, it’s too early to gauge their long-term impact on the platform. But for the moment, at least, they give developers an incentive to devote even more resources to Amazon’s voice service rather than divert attention to its most formidable rival, Google Assistant. Google just launched a fund to invest in Google Assistant-centric startups–reminiscent of the Alexa Fund that Amazon established back in 2015–but it hasn’t yet given Assistant commerce features like the ones Alexa is adding.
  • “We’re at this inflection point with Alexa,” Rabuchin says. “We’ve laid the foundation for the voice economy, and now, by opening up all these monetization capabilities, we think it’s going to really take off in the next year.” The idea that an epoch-shifting phenomenon like Alexa hasn’t yet taken off is a bit of a mind-bender–but whatever happens next, it’s clearly entering a new phase.
1 - 17 of 17
Showing 20▼ items per page