Skip to main content

Home/ Sensorica Knowledge/ Group items tagged thinking

Rss Feed Group items tagged

Tiberius Brastaviceanu

Decision making - Wikipedia, the free encyclopedia - 1 views

  • mental processes
  • examine individual decisions in the context of a set of needs, preferences an individual has and values they seek.
  • psychological perspective
  • ...59 more annotations...
  • cognitive perspective
  • continuous process integrated in the interaction with the environment
  • normative perspective
  • logic of decision making
  • and rationality
  • decision making is a reasoning or emotional process which can be rational or irrational, can be based on explicit assumptions or tacit assumptions.
  • Logical decision making
  • making informed decisions
  • recognition primed decision approach
  • without weighing alternatives
  • integrated uncertainty into the decision making process
  • A major part of decision making involves the analysis of a finite set of alternatives described in terms of some evaluative criteria.
  • multi-criteria decision analysis (MCDA) also known as multi-criteria decision making (MCDM).
  • differentiate between problem analysis and decision making
  • Problem analysis must be done first, then the information gathered in that process may be used towards decision making.[4]
  • decision making techniques people use in everyday life
  • Pros and Cons
  • Simple Prioritization:
  • Decision-Making Stages
  • Orientation stage
  • Conflict stage
  • Emergence stage
  • Reinforcement stage
  • Decision-Making Steps
  • Outline your goal and outcome
  • Gather data
  • Brainstorm to develop alternatives
  • List pros and cons of each alternative
  • Make the decision
  • take action
  • Learn from, and reflect on the decision making
  • Cognitive and personal biases
  • Selective search for evidence
  • Premature termination of search for evidence
  • Inertia
  • Selective perception
  • Wishful thinking or optimism bias
  • Choice-supportive bias
  • Recency
  • Repetition bias
  • Anchoring and adjustment
  • Group think – Peer pressure
  • Source credibility bias
  • Incremental decision making and escalating commitment
  • Attribution asymmetry
  • Role fulfillment
  • Underestimating uncertainty and the illusion of control
  • a person's decision making process depends to a significant degree on their cognitive style
  • thinking and feeling; extroversion and introversion; judgment and perception; and sensing and intuition.
  • someone who scored near the thinking, extroversion, sensing, and judgment
  • would tend to have a logical, analytical, objective, critical, and empirical decision making style.
  • national or cross-cultural differences
  • distinctive national style of decision making
  • human decision-making is limited by available information, available time, and the information-processing ability of the mind.
  • two cognitive styles: maximizers
  • satisficers
    • Tiberius Brastaviceanu
       
      I think we are at the CONFLICT stage at this moment
    • Tiberius Brastaviceanu
       
      These are the steps we need to go through to make a decision of the 4 items proposed by Ivan
    • Tiberius Brastaviceanu
       
      This is also interesting, where are you on these 4 dimensions? 
Tiberius Brastaviceanu

The Baffler - 0 views

  • This tendency to view questions of freedom primarily through the lens of economic competition, to focus on the producer and the entrepreneur at the expense of everyone else, shaped O’Reilly’s thinking about technology.
  • the O’Reilly brand essence is ultimately a story about the hacker as hero, the kid who is playing with technology because he loves it, but one day falls into a situation where he or she is called on to go forth and change the world,
  • His true hero is the hacker-cum-entrepreneur, someone who overcomes the insurmountable obstacles erected by giant corporations and lazy bureaucrats in order to fulfill the American Dream 2.0: start a company, disrupt an industry, coin a buzzword.
  • ...139 more annotations...
  • gospel of individualism, small government, and market fundamentalism
  • innovation is the new selfishness
  • mastery of public relations
  • making it seem as if the language of economics was, in fact, the only reasonable way to talk about the subject
  • memes are for losers; the real money is in epistemes.
  • “Open source software” was also the first major rebranding exercise overseen by Team O’Reill
  • It’s easy to forget this today, but there was no such idea as open source software before 1998; the concept’s seeming contemporary coherence is the result of clever manipulation and marketing.
  • ideological cleavage between two groups
  • Richard Stallman
  • Free Software Foundation, preoccupied with ensuring that users had rights with respect to their computer programs. Those rights weren’t many—users should be able to run the program for any purpose, to study how it works, to redistribute copies of it, and to release their improved version (if there was one) to the public
  • “free software.”
  • association with “freedom” rather than “free beer”
  • copyleft
  • profound critique of the role that patent law had come to play in stifling innovation and creativity.
  • Plenty of developers contributed to “free software” projects for reasons that had nothing to do with politics. Some, like Linus Torvalds, the Finnish creator of the much-celebrated Linux operating system, did so for fun; some because they wanted to build more convenient software; some because they wanted to learn new and much-demanded skills.
  • Stallman’s rights-talk, however, risked alienating the corporate types
  • he was trying to launch a radical social movement, not a complacent business association
  • By early 1998 several business-minded members of the free software community were ready to split from Stallman, so they masterminded a coup, formed their own advocacy outlet—the Open Source Initiative—and brought in O’Reilly to help them rebrand.
  • “open source”
  • The label “open source” may have been new, but the ideas behind it had been in the air for some time.
  • In those early days, the messaging around open source occasionally bordered on propaganda
  • This budding movement prided itself on not wanting to talk about the ends it was pursuing; except for improving efficiency and decreasing costs, those were left very much undefined.
  • extremely decentralized manner, using Internet platforms, with little central coordination.
  • In contrast to free software, then, open source had no obvious moral component.
  • “open source is not particularly a moral or a legal issue. It’s an engineering issue. I advocate open source, because . . . it leads to better engineering results and better economic results
  • While free software was meant to force developers to lose sleep over ethical dilemmas, open source software was meant to end their insomnia.
  • Stallman the social reformer could wait for decades until his ethical argument for free software prevailed in the public debate
  • O’Reilly the savvy businessman had a much shorter timeline: a quick embrace of open source software by the business community guaranteed steady demand for O’Reilly books and events
  • The coup succeeded. Stallman’s project was marginalized. But O’Reilly and his acolytes didn’t win with better arguments; they won with better PR.
  • A decade after producing a singular vision of the Internet to justify his ideas about the supremacy of the open source paradigm, O’Reilly is close to pulling a similar trick on how we talk about government reform.
  • much of Stallman’s efforts centered on software licenses
  • O’Reilly’s bet wa
  • the “cloud”
  • licenses would cease to matter
  • Since no code changed hands
  • So what did matter about open source? Not “freedom”
  • O’Reilly cared for only one type of freedom: the freedom of developers to distribute software on whatever terms they fancied.
  • the freedom of the producer
  • who must be left to innovate, undisturbed by laws and ethics.
  • The most important freedom,
  • is that which protects “my choice as a creator to give, or not to give, the fruits of my work to you, as a ‘user’ of that work, and for you, as a user, to accept or reject the terms I place on that gift.”
  • O’Reilly opposed this agenda: “I completely support the right of Richard [Stallman] or any individual author to make his or her work available under the terms of the GPL; I balk when they say that others who do not do so are doing something wrong.”
  • The right thing to do, according to O’Reilly, was to leave developers alone.
  • According to this Randian interpretation of open source, the goal of regulation and public advocacy should be to ensure that absolutely nothing—no laws or petty moral considerations—stood in the way of the open source revolution
  • Any move to subject the fruits of developers’ labor to public regulation
  • must be opposed, since it would taint the reputation of open source as technologically and economically superior to proprietary software
  • the advent of the Internet made Stallman’s obsession with licenses obsolete
  • Many developers did stop thinking about licenses, and, having stopped thinking about licenses, they also stopped thinking about broader moral issues that would have remained central to the debates had “open source” not displaced “free software” as the paradigm du jour.
  • Profiting from the term’s ambiguity, O’Reilly and his collaborators likened the “openness” of open source software to the “openness” of the academic enterprise, markets, and free speech.
  • “open to intellectual exchange”
  • “open to competition”
  • “For me, ‘open source’ in the broader sense means any system in which open access to code lowers the barriers to entry into the market”).
  • “Open” allowed O’Reilly to build the largest possible tent for the movement.
  • The language of economics was less alienating than Stallman’s language of ethics; “openness” was the kind of multipurpose term that allowed one to look political while advancing an agenda that had very little to do with politics
  • highlight the competitive advantages of openness.
  • the availability of source code for universal examination soon became the one and only benchmark of openness
  • What the code did was of little importance—the market knows best!—as long as anyone could check it for bugs.
  • The new paradigm was presented as something that went beyond ideology and could attract corporate executives without losing its appeal to the hacker crowd.
  • What Raymond and O’Reilly failed to grasp, or decided to overlook, is that their effort to present open source as non-ideological was underpinned by a powerful ideology of its own—an ideology that worshiped innovation and efficiency at the expense of everything else.
  • What they had in common was disdain for Stallman’s moralizing—barely enough to justify their revolutionary agenda, especially among the hacker crowds who were traditionally suspicious of anyone eager to suck up to the big corporations that aspired to dominate the open source scene.
  • linking this new movement to both the history of the Internet and its future
  • As long as everyone believed that “open source” implied “the Internet” and that “the Internet” implied “open source,” it would be very hard to resist the new paradigm
  • Telling a coherent story about open source required finding some inner logic to the history of the Internet
  • “If you believe me that open source is about Internet-enabled collaboration, rather than just about a particular style of software license,”
  • everything on the Internet was connected to everything else—via open source.
  • The way O’Reilly saw it, many of the key developments of Internet culture were already driven by what he called “open source behavior,” even if such behavior was not codified in licenses.
  • No moralizing (let alone legislation) was needed; the Internet already lived and breathed open source
  • apps might be displacing the browser
  • the openness once taken for granted is no more
  • Openness as a happenstance of market conditions is a very different beast from openness as a guaranteed product of laws.
  • One of the key consequences of linking the Internet to the world of open source was to establish the primacy of the Internet as the new, reinvented desktop
  • This is where the now-forgotten language of “freedom” made a comeback, since it was important to ensure that O’Reilly’s heroic Randian hacker-entrepreneurs were allowed to roam freely.
  • Soon this “freedom to innovate” morphed into “Internet freedom,” so that what we are trying to preserve is the innovative potential of the platform, regardless of the effects on individual users.
  • Lumping everything under the label of “Internet freedom” did have some advantages for those genuinely interested in promoting rights such as freedom of expression
  • Forced to choose between preserving the freedom of the Internet or that of its users, we were supposed to choose the former—because “the Internet” stood for progress and enlightenment.
  • infoware
  • Yahoo
  • their value proposition lay in the information they delivered, not in the software function they executed.
  • The “infoware” buzzword didn’t catch on, so O’Reilly turned to the work of Douglas Engelbart
  • to argue that the Internet could help humanity augment its “collective intelligence” and that, once again, open source software was crucial to this endeavor.
  • Now it was all about Amazon learning from its customers and Google learning from the sites in its index.
  • The idea of the Internet as both a repository and incubator of “collective intelligence”
  • in 2004, O’Reilly and his business partner Dale Dougherty hit on the idea of “Web 2.0.” What did “2.0” mean, exactly?
  • he primary goal was to show that the 2001 market crash did not mean the end of the web and that it was time to put the crash behind us and start learning from those who survived.
  • Tactically, “Web 2.0” could also be much bigger than “open source”; it was the kind of sexy umbrella term that could allow O’Reilly to branch out from boring and highly technical subjects to pulse-quickening futurology
  • O’Reilly couldn’t improve on a concept as sexy as “collective intelligence,” so he kept it as the defining feature of this new phenomenon.
  • What set Web 2.0 apart from Web 1.0, O’Reilly claimed, was the simple fact that those firms that didn’t embrace it went bust
  • find a way to harness collective intelligence and make it part of their business model.
  • By 2007, O’Reilly readily admitted that “Web 2.0 was a pretty crappy name for what’s happening.”
  • O’Reilly eventually stuck a 2.0 label on anything that suited his business plan, running events with titles like “Gov 2.0” and “Where 2.0.” Today, as everyone buys into the 2.0 paradigm, O’Reilly is quietly dropping it
  • assumption that, thanks to the coming of Web 2.0, we are living through unique historical circumstances
  • Take O’Reilly’s musings on “Enterprise 2.0.” What is it, exactly? Well, it’s the same old enterprise—for all we know, it might be making widgets—but now it has learned something from Google and Amazon and found a way to harness “collective intelligence.”
  • tendency to redescribe reality in terms of Internet culture, regardless of how spurious and tenuous the connection might be, is a fine example of what I call “Internet-centrism.”
  • “Open source” gave us the “the Internet,” “the Internet” gave us “Web 2.0,” “Web 2.0” gave us “Enterprise 2.0”: in this version of history, Tim O’Reilly is more important than the European Union
  • For Postman, each human activity—religion, law, marriage, commerce—represents a distinct “semantic environment” with its own tone, purpose, and structure. Stupid talk is relatively harmless; it presents no threat to its semantic environment and doesn’t cross into other ones.
  • Since it mostly consists of falsehoods and opinions
  • it can be easily corrected with facts
  • to say that Tehran is the capital of Iraq is stupid talk
  • Crazy talk, in contrast, challenges a semantic environment, as it “establishes different purposes and assumptions from those we normally accept.” To argue, as some Nazis did, that the German soldiers ended up far more traumatized than their victims is crazy talk.
  • For Postman, one of the main tasks of language is to codify and preserve distinctions among different semantic environments.
  • As he put it, “When language becomes undifferentiated, human situations disintegrate: Science becomes indistinguishable from religion, which becomes indistinguishable from commerce, which becomes indistinguishable from law, and so on.
  • pollution
  • Some words—like “law”—are particularly susceptible to crazy talk, as they mean so many different things: from scientific “laws” to moral “laws” to “laws” of the market to administrative “laws,” the same word captures many different social relations. “Open,” “networks,” and “information” function much like “law” in our own Internet discourse today.
  • For Korzybski, the world has a relational structure that is always in flux; like Heraclitus, who argued that everything flows, Korzybski believed that an object A at time x1 is not the same object as object A at time x2
  • Our language could never properly account for the highly fluid and relational structure of our reality—or as he put it in his most famous aphorism, “the map is not the territory.”
  • Korzybski argued that we relate to our environments through the process of “abstracting,” whereby our neurological limitations always produce an incomplete and very selective summary of the world around us.
  • nothing harmful in this per se—Korzybski simply wanted to make people aware of the highly selective nature of abstracting and give us the tools to detect it in our everyday conversations.
  • Korzybski developed a number of mental tools meant to reveal all the abstracting around us
  • He also encouraged his followers to start using “etc.” at the end of their statements as a way of making them aware of their inherent inability to say everything about a given subject and to promote what he called the “consciousness of abstraction.”
  • There was way too much craziness and bad science in Korzybski’s theories
  • but his basic question
  • “What are the characteristics of language which lead people into making false evaluations of the world around them?”
  • Tim O’Reilly is, perhaps, the most high-profile follower of Korzybski’s theories today.
  • O’Reilly openly acknowledges his debt to Korzybski, listing Science and Sanity among his favorite books
  • It would be a mistake to think that O’Reilly’s linguistic interventions—from “open source” to “Web 2.0”—are random or spontaneous.
  • There is a philosophy to them: a philosophy of knowledge and language inspired by Korzybski. However, O’Reilly deploys Korzybski in much the same way that the advertising industry deploys the latest findings in neuroscience: the goal is not to increase awareness, but to manipulate.
  • O’Reilly, of course, sees his role differently, claiming that all he wants is to make us aware of what earlier commentators may have overlooked. “A metaphor is just that: a way of framing the issues such that people can see something they might otherwise miss,
  • But Korzybski’s point, if fully absorbed, is that a metaphor is primarily a way of framing issues such that we don’t see something we might otherwise see.
  • In public, O’Reilly modestly presents himself as someone who just happens to excel at detecting the “faint signals” of emerging trends. He does so by monitoring a group of überinnovators that he dubs the “alpha geeks.” “The ‘alpha geeks’ show us where technology wants to go. Smart companies follow and support their ingenuity rather than trying to suppress it,
  • His own function is that of an intermediary—someone who ensures that the alpha geeks are heard by the right executives: “The alpha geeks are often a few years ahead of their time. . . . What we do at O’Reilly is watch these folks, learn from them, and try to spread the word by writing down (
  • The name of his company’s blog—O’Reilly Radar—is meant to position him as an independent intellectual who is simply ahead of his peers in grasping the obvious.
  • “the skill of writing is to create a context in which other people can think”
  • As Web 2.0 becomes central to everything, O’Reilly—the world’s biggest exporter of crazy talk—is on a mission to provide the appropriate “context” to every field.
  • In a fascinating essay published in 2000, O’Reilly sheds some light on his modus operandi.
  • The thinker who emerges there is very much at odds with the spirit of objectivity that O’Reilly seeks to cultivate in public
  • meme-engineering lets us organize and shape ideas so that they can be transmitted more effectively, and have the desired effect once they are transmitted
  • O’Reilly meme-engineers a nice euphemism—“meme-engineering”—to describe what has previously been known as “propaganda.”
  • how one can meme-engineer a new meaning for “peer-to-peer” technologies—traditionally associated with piracy—and make them appear friendly and not at all threatening to the entertainment industry.
  • O’Reilly and his acolytes “changed the canonical list of projects that we wanted to hold up as exemplars of the movement,” while also articulating what broader goals the projects on the new list served. He then proceeds to rehash the already familiar narrative: O’Reilly put the Internet at the center of everything, linking some “free software” projects like Apache or Perl to successful Internet start-ups and services. As a result, the movement’s goal was no longer to produce a completely free, independent, and fully functional operating system but to worship at the altar of the Internet gods.
  • Could it be that O’Reilly is right in claiming that “open source” has a history that predates 1998?
  • Seen through the prism of meme-engineering, O’Reilly’s activities look far more sinister.
  • His “correspondents” at O’Reilly Radar don’t work beats; they work memes and epistemes, constantly reframing important public issues in accordance with the templates prophesied by O’Reilly.
  • Or take O’Reilly’s meme-engineering efforts around cyberwarfare.
  • Now, who stands to benefit from “cyberwarfare” being defined more broadly? Could it be those who, like O’Reilly, can’t currently grab a share of the giant pie that is cybersecurity funding?
  • Frank Luntz lists ten rules of effective communication: simplicity, brevity, credibility, consistency, novelty, sound, aspiration, visualization, questioning, and context.
  • Thus, O’Reilly’s meme-engineering efforts usually result in “meme maps,” where the meme to be defined—whether it’s “open source” or “Web 2.0”—is put at the center, while other blob-like terms are drawn as connected to it.
  • The exact nature of these connections is rarely explained in full, but this is all for the better, as the reader might eventually interpret connections with their own agendas in mind. This is why the name of the meme must be as inclusive as possible: you never know who your eventual allies might be. “A big part of meme engineering is giving a name that creates a big tent that a lot of people want to be under, a train that takes a lot of people where they want to go,”
  • News April 4 mail date March 29, 2013 Baffler party March 6, 2013 Žižek on seduction February 13, 2013 More Recent Press I’ve Seen the Worst Memes of My Generation Destroyed by Madness io9, April 02, 2013 The Baffler’s New Colors Imprint, March 21, 2013
  • There is considerable continuity across O’Reilly’s memes—over time, they tend to morph into one another.
Kurt Laitner

Towards a Material Commons | Guerrilla Translation! - 0 views

  • the modes of communication we use are very tightly coupled with the modes of production that finance them
  • I’m focused on the policy formation around this transition to a new, open knowledge and commons-based economy, and that’s the research work I’m doing here
  • The problem is I can only make a living by still working for capital.
  • ...88 more annotations...
  • We now have a technology which allows us to globally scale small group dynamics, and to create huge productive communities, self-organized around the collaborative production of knowledge, code, and design. But the key issue is that we are not able to live from that, right
  • A lot of co-ops have been neo-liberalizing, as it were, have become competitive enterprises competing against other companies but also against other co-ops, and they don’t share their knowledge
  • We cannot create our own livelihood within that sphere
  • instead of having a totally open commons, which allows multinationals to use our commons and reinforce the system of capital, the idea is to keep the accumulation within the sphere of the commons.
  • The result would be a type of open cooperative-ism, a kind of synthesis or convergence between peer production and cooperative modes of production
  • then the material work, the work of working for clients and making a livelihood, would be done through co-ops
  • But it hasn’t had much of a direct connection to this emerging commons movement, which shares so many of the values and  principles of the traditional cooperative movement.
  • There’s also a lot of peer-to-peer work going on, but it’s not very well versed around issues like cooperative organization, formal or legal forms of ownership, which are based on reciprocity and cooperation, and how to interpret the commons vision with a structure, an organizational structure and a legal structure that actually gives it economic power, market influence, and a means of connecting it to organizational forms that have durability over the long-term.
  • The young people, the developers in open source or free software, the people who are in co-working centers, hacker spaces, maker spaces. When they are thinking of making a living, they think startups
  • They have a kind of generic reaction, “oh, let’s do a startup”, and then they look for venture funds. But this is a very dangerous path to take
  • Typically, the venture capital will ask for a controlling stake, they have the right to close down your start up whenever they feel like it, when they feel that they’re not going to make enough money
  • Don’t forget that with venture capital, only 1 out of 10 companies will actually make it, and they may be very rich, but it’s a winner-take-all system
  • we don’t have what Marx used to call social reproduction
  • I would like John to talk about the solidarity co-ops, and how that integrates the notion of the commons or the common good in the very structure of the co-op
  • They don’t have a commons of design or code, they privatize and patent, just like private competitive enterprise, their knowledge
  • Cooperatives, which are basically a democratic and collective form of enterprise where members have control rights and democratically direct the operations of the co-op, have been the primary stakeholders in any given co-op – whether it’s a consumer co-op, or a credit union, or a worker co-op.
  • Primarily, the co-op is in the service of its immediate members
  • What was really fascinating about the social co-ops was that, although they had members, their mission was not only to serve the members but also to provide service to the broader community
  • In the city of Bologna, for example, over 87% of the social services provided in that city are provided through contract with social co-ops
  • democratically run
  • much more participatory, and a much more engaged model
  • The difference, however, is that the structure of social co-ops is still very much around control rights, in other words, members have rights of control and decision-making within how that organization operates
  • And it is an incorporated legal structure that has formal recognition by the legislation of government of the state, and it has the power, through this incorporated power, to negotiate with and contract with government for the provision of these public services
  • In Québec they’re called Solidarity co-ops
  • So, the social economy, meaning organizations that have a mutual aim in their purpose, based on the principles of reciprocity, collective benefit, social benefit, is emerging as an important player for the design and delivery of public services
  • This, too, is in reaction to the failure of the public market for provision of services like affordable housing or health care or education services
  • This is a crisis in the role of the state as a provider of public services. So the question has emerged: what happens when the state fails to provide or fulfill its mandate as a provider or steward of public goods and services, and what’s the role of civil society and the social economy in response?
  • we have commonses of knowledge, code and design. They’re more easily created, because as a knowledge worker, if you have access to the network and some means, however meager, of subsistence, through effort and connection you can actually create knowledge. However, this is not the case if you move to direct physical production, like the open hardware movement
  • I originally encountered Michel after seeing some talks by Benkler and Lessig at the Wizard of OS 4, in 2006, and I wrote an essay criticizing that from a materialist perspective, it was called “The creative anti-commons and the poverty of networks”, playing on the terms that both those people used.
  • In hardware, we don’t see that, because you need to buy material, machines, plastic, metal.
  • Some people have called the open hardware community a “candy” economy, because if you’re not part of these open hardware startups, you’re basically not getting anything for your efforts
  • democratic foundations like the Apache foundation
  • They conceive of peer production, especially Benkler, as being something inherently immaterial, a form of production that can only exist in the production of immaterial wealth
  • From my materialist point of view, that’s not a mode of production, because a mode of production must, in the first place, reproduce its productive inputs, its capital, its labor, and whatever natural wealth it consumes
  • From a materialist point of view, it becomes  obvious that the entire exchange value produced in these immaterial forms would be captured by the same old owners of materialist wealth
  • different definition of peer production
  • independent producers collectively sharing a commons of productive assets
  • I wanted to create something like a protocol for the formation and allocation of physical goods, the same way we have TCP/IP and so forth, as a way to allocate immaterial goods
  • share and distribute and collectively create immaterial wealth, and become independent producers based on this collective commons.
  • One was the Georgist idea of using rent, economic rent, as a fundamental mutualizing source of wealth
  • Mutualizing unearned income
  • So, the unearned income, the portion of income derived from ownership of productive assets is evenly distributed
  • This protocol would seek to normalize that, but in a way that doesn’t require administration
  • typical statist communist reaction to the cooperative movement is saying that cooperatives can exclude and exploit one another
  • But then, as we’ve seen in history, there’s something that develops called an administrative class,  which governs over the collective of cooperatives or the socialist state, and can become just as counterproductive and often exploitive as capitalist class
  • So, how do we create cooperation among cooperatives, and distribution of wealth among cooperatives, without creating this administrative class?
  • This is why I borrowed from the work of Henry George and Silvio Gesell in created this idea of rent sharing.
  • This is not done administratively, this is simply done as a protocol
  • The idea is that if a cooperative wants an asset, like, an example is if one of the communes would like to have a tractor, then essentially the central commune is like a bond market. They float a bond, they say I want a tractor, I am willing to pay $200 a month for this tractor in rent, and other members of the cooperative can say, hey, yeah, that’s a good idea,we think that’s a really good allocation of these productive assets, so we are going to buy these bonds. The bond sale clears, the person gets the tractor, the money from the rent of the tractor goes back to clear the bonds, and  after that, whatever further money is collected through the rent on this tractor – and I don’t only mean tractors, same would be applied to buildings, to land, to any other productive assets – all this rent that’s collected is then distributed equally among all of the workers.
  • The idea is that people earn income not only by producing things, but by owning the means of production, owning productive assets, and our society is unequal because the distribution of productive assets is unequal
  • This means that if you use your exact per capita share of property, no more no less than what you pay in rent and what you received in social dividend, will be equal
  • But if you’re not working at that time, because you’re old, or otherwise unemployed, then obviously the the productive assets that you will be using will be much less than the mean and the median, so what you’ll receive as dividend will be much more than what you pay in rent, essentially providing a basic income
  • venture communism doesn’t seek to control the product of the cooperatives
  • It doesn’t seek to limit, control, or even tell them how they should distribute it, or under what means; what they produce is entirely theirs, it’s only the collective management of the commons of productive assets
  • On paper this would seem to work, but the problem is that this assumes that we have capital to allocate in this way, and that is not the case for most of the world workers
  • how do we get to that stage?
  • other two being counter politics and insurrectionary finance
  • do we express our activism through the state, or do we try to achieve our goals by creating the alternative society outside
  • pre-figurative politics, versus statist politics
  • My materialist background tells me that when you sell your labor on the market, you have nothing more than your subsistence costs at the end of it, so where is this wealth meant to come from
  • I believe that the only reason that we have any extra wealth beyond subsistence is because of organized social political struggle; because we have organized in labor movements, in the co-op movement, and in other social forms
  • To create the space for prefiguring presupposes engagement with the state, and struggle within parliaments, and struggle within the public social forum
  • Instead, we should think that no, we must engage in the state in order to protect our ability to have alternative societies
  • We can only get rid of the state in these areas once we have alternative, distributed, cooperative means to provide those same functions
  • We can only eliminate the state from these areas once they actually exist, which means we actually have to build them
  • What I mean by insurrectionary finance is that we have to acknowledge that it’s not only forming capital and distributing capital, it’s also important how intensively we use capital
  • I’m not proposing that the cooperative movement needs to engage in the kind of derivative speculative madness that led to the financial crisis, but at the same time we can’t… it can’t be earn a dollar, spend a dollar
  • We have to find ways to create liquidity
  • to deal with economic cycles
  • they did things the organized left hasn’t been able to do, which is takeover industrial means of production
  • if they can take over these industrial facilities, just in order to shut them down and asset strip them, why can’t we take them over and mutualize them?
  • more ironic once you understand that the source of investment that Milken and his colleagues were working with were largely workers pension funds
  • idea of venture communism
  • pooling, based on the capture of unearned income
  • in Québec, there is a particular form of co-op that’s been developed that allows small or medium producers to pool their capital to purchase machinery and to use it jointly
  • The other idea I liked was trying to minimize a management class
  • much more lean and accountable because they are accountable to boards of directors that represent the interests of the members
  • I’ve run into this repeatedly among social change activists who immediately recoil at the notion of thinking about markets and capital, as part of their change agenda
  • I had thought previously, like so many, that economics is basically a bought discipline, and that it serves the interests of existing elites. I really had a kind of reaction against that
  • complete rethinking of economics
  • recapture the initiative around vocabulary, and vision, with respect to economics
  • reimagining and reinterpreting, for a popular and common good, the notion of market and capital
  • advocating for a vision of social change that isn’t just about politics, and isn’t just about protest, it has to be around how do we reimagine and reclaim economics
  • markets actually belong to communities and people
  • capital wasn’t just an accumulated wealth for the rich
  • I think what we’re potentially  talking about here is to make the social economy hyper-productive, hyper-competitive, hyper-cooperative
  • The paradox is that capital already knows this. Capital is investing in these peer production projects
  • Part of the proposal of the FLOK society project in Ecuador will be to get that strategic reorganization to make the social economy strategic
  •  
    A lot of really interesting points of discussion in here.
Tiberius Brastaviceanu

P2P Foundation » Blog Archive » Ethical Marketing in Age of Horizontal Social... - 0 views

  • the development of marketing is sensible to its environment and is hence already self-limiting itself according to the previously mentioned legal and social framework
  • neuromarketing
  • explore new inner dynamics of marketing, new directions in the field of possibilities offered by the current organology and its articulations between techniques and social organization in order to influence and shape marketing as an associative force – in opposition to its current dissociative force – in the larger psychic, social and technic organology
  • ...70 more annotations...
  • find new ways of efficiency
  • arbitration between efficiency and care
  • a global thinking of the problem
  • Fighting the attention and desire resource shortage: stoping to use advertisement?
  • The question is rather here to think the moderation of the psychopower
  • empower transindividuation, i.e. to make sure that an economic activity creates more possibilities of individuation than it tend to destroy by attempting to capture attention and canalize motivation in a funnel. Empower transindividuation would imply to empowering actors of their own lifestyle, winning back the savoir-vivre prescribing production
  • Should marketing stop using psychopower?
  • marketing ethics guidelines
  • transactions are more likely to be morally defensible if both parties enter it freely and fully informed
  • the goal of marketing should be to increase the likelihood and frequency of free and informed transactions in the marketplace
  • putting freedom as a criteria of morality
  • the industrial use of pycho- and neuropower tend to fall under the category of barriers to freedom
  • neurotechniques – to capture the attention
  • psychotechniques – to attempt to create motivation
  • Most people think commercials are a small price to pay for these benefits
  • advertising
  • denying the schemes of addiction and the fact that we are becoming through the objects of attentions
  • right to avoid attention capture by advertising
  • progress made in cognitive sciences proving that
  • reward system being abnormally stimulated
  • Advertisements exploit
  • vulnerability and reinforce their overconsumption behaviors
  • “if food advertising on TV were banned, significant reductions in the prevalence of childhood obesity are possible.” (Veerman et al. 2009)
  • What is at stake falls to be much more complex than the sole Freedom of Speech invoked for the advertiser
  • liberty of non-reception
  • would mean to guaranty every citizen the right to choose where and when he wants to access the advertising information
  • Change in the industrial and commercial paradigm
  • Economy of contribution and peer production
  • An economy of contribution means that users of a service are contributing to the production of these services.
  • example
  • is open-source software that are contributively build by potentially hundreds of developers organized in communities
  • minimize the gap between the producer and consumer
  • blur the frontier between professionals and amateurs
  • The Copernican revolution of the Vendor Relationship Management paradigm
  • change in the commercial paradigm, described as an Intention Economy i.e. the opposite of the Attention Economy
  • consumers are charged to express and discuss their intention
  • with businesses rather than the usual paradigm in which businesses where fighting for a piece of canalized motivation
  • Implementing such a system would nevertheless imply that marketing departments dispose of a system in which they could value their supplies and where they could be easily found by customers. Doc Searls promotes his answer to this issue: the Vendor Relationship Management system.
  • the belief that free customers are more valuable than captive ones — to themselves, to vendors, and to the larger economy.
  • To be free
  • 1. Customers must enter relationships with vendors as independent actors.
  • 2. Customers must be the points of integration for their own data.
  • 3. Customers must have control of data they generate and gather. This means they must be able to share data selectively and voluntarily.
  • 4. Customers must be able to assert their own terms of engagement.
  • 5. Customers must be free to express their demands and intentions outside of any one company’s control.
  • This is a profoundly game-changing approach
  • big data that is the rush for consumers’ information potentially leading to the same dead-end of attention destruction and affective saturation than the former offline paradigm
  • VRM system working as a marketplace
  • the goal of marketing should be to increase the likelihood and frequency of free and informed transactions in the marketplace
  • less imperfect and less biased information in a cultural context overvaluing transparency, and a bigger atomicity due to the hereafter introduced trend for re-localized peer production.
  • 3.2.2.3 VRM and externalization of the socialization process
  • Promoting the end of advertisement
  • means to find a new way to make the information circulate, what was the primary goal of advertisement
  • Until there is no alternative to massive advertisement campaign for the information circulation, it is indeed hard to ask entrepreneurs and managers to get rid of those successors of propaganda: such a transition process necessarily imply adaptation costs from the producer and the consumer side, and possible competitive disadvantage against competitors still maximizing profit through advertisement means
  • But the internet transformation of the general organology offers new way to think information circuits and potentially constitute an opportunity to externalize the socialization process of products that is to empower citizen-consumers organized in communities
  • Empowering groups of citizen doesn’t annihilate the risks of mis-use or counterproductive interest-taker behaviors but a well-designed system of trust between peers could minimize this risk by creating a dependency to what social capital other peers give you, as it is happening in the sharing economy: the credibility of a contributive peer would be guaranteed through what the P2P Foundation calls Feedback systems and peer-police
  • a strong structuration of products characteristics, allowing customers to personalize their choices according to their desire and constraints: such a “VRM+” system
  • Marketing would then be the art of being as high as possible in this ranking, as it is happening in SEO for search engines, but in this context of criteria explosion, marketing would then be the disciple of listening to customers’ wishes and aspiration needing an attention, in order to kick in the production or to adapt the following series.
  • 3.2.2.4 Toward a possible equi-power
  • Such a system would tremendously re-configure the balance of power and tend toward a form of equi-power i.e. a social organization in which abuses of a “big” would be the potential object of a ranking sanction by the peers
  • self-regulative function
  • a form of economic Darwinism would let to conscious organization the right to curve their path toward a durable configuration in accordance with the social ecosystem.
  • the idea of equi-power is a form of homogenization of the social matter, in which the distortions in the balance of power would be compensated by the gathering of small forces sharing a common interest
  • Such a sanction systems, if successfully implemented, would make value-destructing businesses progressively decline and hopefully bankrupt,
  • long-term valuable strategic choice
  • long term satisfyingly high ranking
  • It would be utopic to think that the “being cool” marketing
  • would disappear, but marketers would have to make those two objectives compose together.
  • This social capital contagion is nevertheless a tool that would need to be controlled in its form of violence by extensive testings and iterations with forms of protections for the smallest peers, that is to say to keep this form of social violence to institutionalized, classic forms of businesses, clearly beyond the line of what should be acceptable in the global village.
  • the goal is here to create an artificial form of majority that is a self-censuring responsible behavior of corporations
Tiberius Brastaviceanu

Permaculture Principles | Design Principles - 1 views

  • how the principles of permaculture might apply to business.
  • The shift will be from merely prioritising output to thinking more widely.
  • how to build resilience for business
  • ...64 more annotations...
  • observation
  • A post-peak world will depend on detailed observation and good design rather than energy-intensive solutions.
  • not rely on weather forecasts but to learn to read the clouds,
  • “instead of researching the market, be the market”
  • businesses should be out there observing.
  • larger businesses tend to rely more on surveys and on second-hand information.
  • direct contact with customers.
  • move our idea of ‘capital’ from what we have in the bank, to the resources we have around us
  • not running a business on a constant high speed cash throughput with little or no capital reserves
  • lack of resilience in the just-in-time supply approach
  • a shift to storages of parts and materials, as well as the need to financially not be so dependent on debt financing
  • work slower with more financial reserves and take less risks, not building beyond what the company’s financial resources can support.
  • either to not borrow any money at all, or to borrow so much money that you can’t fail, being bigger than the people you borrow money from, so they have a vested interest in your succeeding!
  • energy efficient
  • long term
  • Looking to make buildings as autonomous as possible in a world entering energy descent is critical
  • see things that are flowing past and through the business that others don’t see as being a resource and having no monetary value as being valuable.
  • any intervention we make in a system, any changes we make or elements we introduce ought to be productive
  • This is instinctive to businesses
  • Obtain a Yield, in this context, is out of balance
  • much of business
  • have taken this to extremes
  • A well-designed system using permaculture principles should be able to self-regulate, and require the minimum of intervention and maintenance, like a woodland ecosystem, which requires no weeding, fertiliser or pest control.
  • moving from “we’re just obeying the law” to being proactive, acting before you get hit over the head with regulation and other vulnerabilities.
  • be able to put a foot on the break, not just going hell for leather on profit maximisation.
  • apply applied restraint, avoiding excessive, overfast growth that hasn’t been consolidated
  • looking for the negative feedbacks, from customers and from the environment in general
  • We need to increase the tightness of feedbacks.
  • Where nature can perform particular functions
  • we should utilise these attributes, rather than thinking we can replace them
  • Where nature can take some work off our hands we should let it.
  • a shift towards renewable resources
  • The emerging opportunities for businesses are things that are renewable. Renewable energy sources are the ones that will ensure a business’s stability in the long run. We can also broaden the concept of renewable resources to include things like goodwill and trust, things which a business can rebuild with good husbandry. Most business doesn’t just depend on law and competition, trust is at the heart of much business and it is very much a renewable resource.
  • The concept of waste is essentially a reflection of poor design. Every output from one system could become the input to another system. We need to think cyclically rather than in linear systems.
  • looking at our work from a range of perspectives
  • wider context
  • keep a clearer sense of the wider canvas on which we are painting, and the forces that affect what we are doing.
  • being strategic is important too
  • ask how is what we are doing part of a bigger picture, the move away from globalisation and towards the local, taking steps back from the everyday.
  • This can be done firstly by allowing space for Devil’s advocates, for black sheep, for hearing the voices of those outside of the dominant culture of the organisation and secondly by looking from a holistic perspective of how things interconnect, rather than just relying on experts who are embedded in detail. It emphasises the need to value the generalist, to give value to holistic thinkers.
  • allowing people to imagine different possibilities.
  • scenario planning
  • Permaculture has been described as the science of maximising beneficial relationships.
  • Solutions are to be found in integrated holistic solutions rather than increased specialisation and compartmentalisation
  • The challenge here is to move to seeing business as being part of the geographical community, as being rooted in place, rather than just part of a globalised community. At the moment for many larger businesses, the local is something one pays lip-service to as a source of good PR, something one is passing through, rather than actually being an integral part of the community.
  • This is a profound structural challenge for large organisations. Part of the resilience of the organisation comes from the degree of lateral integration. Resilience is in all solutions, it is the characteristic of ecological systems. If we apply these principles, resilience is one of the emergent properties
  • the notion that big is best needs to be challenged
  • new opportunities are very hard to understand and exploit from a macro level perspective, and are much better done from small scale perspective. It is here that the idea of appropriateness of scale becomes key.
  • more diverse systems have much more inbuilt resilience
  • have a diversity of small businesses, local currencies, food sources, energy sources and so on than if they are just dependent on centralised systems, globalisation’s version of monoculture.
  • not having all your eggs in one basket.
  • In the short term this kind of diversification could reduce profits, but in the longer term it will be more secure
  • this is about the reverse of specialisation, about having a mixed portfolio, and presents a big culture change for businesses.
  • it is a good strategy for business to keep a diverse portfolio of what sustains the business, keep some things that appear to be peripheral. They may not at this stage appear to be a serious part of how the business is run, but in this new world they will increasingly become so
  • ‘edge’
  • the point where two ecosystems meet is often more productive than either of those systems on their own.
  • overlap systems where possible so as to maximise their potential.
  • recognising that innovation doesn’t come from the centre but from fringe thinkers.
  • giving status to the marginal
  • It is important that the business has as many fingers in as many pies as possible, as many interfaces, and recognises that every person working for the business represents it in the community.
  • Natural systems are constantly in flux, evolving and growing.
  • Remaining observant of the changes around you, and not fixing onto the idea that anything around you is fixed or permanent will help too.
  • be flexible, lean and adaptable
  • A healthy approach is to start with no complete plan, to allow the process to be emergent. This is not a time when we can work to a rigid plan as conditions will change so fast. Organisations will need to stay on their toes, without rigid management.
Tiberius Brastaviceanu

Beyond Blockchain: Simple Scalable Cryptocurrencies - The World of Deep Wealth - Medium - 0 views

  • I clarify the core elements of cryptocurrency and outline a different approach to designing such currencies rooted in biomimicry
  • This post outlines a completely different strategy for implementing cryptocurrencies with completely distributed chains
  • Rather than trying to make one global, anonymous, digital cash
  • ...95 more annotations...
  • we are interested in the resilience that comes from building a rich ecosystem of interoperable currencies
  • What are the core elements of a modern cryptocurrency?
  • Digital
  • Holdings are electronic and only exist and operate by virtue of a community’s agreement about how to interpret digital bits according to rules about operation and accounting of the currency.
  • Trustless
  • don’t have to trust a 3rd party central authority
  • Decentralized
  • Specifically, access, issuance, transaction accounting, rules & policies, should be collectively visible, known, and held.
  • Cryptographic
  • This cryptographic structure is used to enable a variety of people to host the data without being able to alter it.
  • Identity
  • there must be a way to associate these bits with some kind of account, wallet, owner, or agent who can use them
  • Other things that many take for granted in blockchains may not be core but subject to decisions in design and implementation, so they can vary between implementations
  • It does not have to be stored in a synchronized global ledger
  • does not have to be money. It may be a reputation currency, or data used for identity, or naming, etc
  • Its units do not have to be cryptographic tokens or coins
  • It does not have to protect the anonymity of users, although it may
  • if you think currency is only money, and that money must be artificially scarce
  • Then you must tackle the problem of always tracking which coins exist, and which have been spent. That is one approach — the one blockchain takes.
  • You might optimize for anonymity if you think of cryptocurrency as a tool to escape governments, regulations, and taxes.
  • if you want to establish and manage membership in new kinds of commons, then identity and accountability for actions may turn out to be necessary ingredients instead of anonymity.
  • In the case of the MetaCurrency Project, we are trying to support many use cases by building tools to enable a rich ecosystem of communities and current-sees (many are non-monetary) to enhance collective intelligence at all scales.
  • Managing consensus about a shared reality is a central challenge at the heart of all distributed computing solutions.
  • If we want to democratize money by having cryptocurrencies become a significant and viable means of transacting on a daily basis, I believe we need fundamentally more scalable approaches that don’t require expensive, dedicated hardware just to participate.
  • We should not need system wide consensus for two people to do a transaction in a cryptocurrency
  • Blockchain is about managing a consensus about what was “said.” Ceptr is about distributing a consensus about how to “speak.”
  • how nature gets the job done in massively scalable systems which require coordination and consistency
  • Replicate the same processes across all nodes
  • Empower every node with full agency
  • Hold this transformed state locally and reliably
  • Establish protocols for interaction
  • Each speaker of a language carries the processes to understand sentences they hear, and generate sentences they need
  • we certainly don’t carry some kind of global ledger of everything that’s ever been said, or require consensus about what has been said
  • Language IS a communication protocol we learn by emulating the processes of usage.
  • Dictionaries try to catch up when the usage
  • there is certainly no global ledger with consensus about the state of trillions of cells. Yet, from a single zygote’s copy of DNA, our cells coordinate in a highly decentralized manner, on scales of trillions, and without the latency or bottlenecks of central control.
  • Imagine something along the lines of a Java Virtual Machine connected to a distributed version of Github
  • Every time this JVM runs a program it confirms the hash of the code it is about to execute with the hash signed into the code repository by its developers
  • This allows each node that intends to be honest to be sure that they’re running the same processes as everyone else. So when two parties want to do a transaction, and each can have confidence their own code, and the results that your code produces
  • Then you treat it as authoritative and commit it to your local cryptographically self-validating data store
  • Allowing each node to treat itself as a full authority to process transactions (or interactions via shared protocols) is exactly how you empower each node with full agency. Each node runs its copy of the signed program/processes on its own virtual machine, taking the transaction request combined with the transaction chains of the parties to the transaction. Each node can confirm their counterparty’s integrity by replaying their transactions to produce their current state, while confirming signatures and integrity of the chain
  • If both nodes are in an appropriate state which allows the current transaction, then they countersign the transaction and append to their respective chains. When you encounter a corrupted or dishonest node (as evidenced by a breach of integrity of their chain — passing through an invalid state, broken signatures, or broken links), your node can reject the transaction you were starting to process. Countersigning allows consensus at the appropriate scale of the decision (two people transacting in this case) to lock data into a tamper-proof state so it can be stored in as many parallel chains as you need.
  • When your node appends a mutually validated and signed transaction to its chain, it has updated its local state and is able to represent the integrity of its data locally. As long as each transaction (link in the chain) has valid linkages and countersignatures, we can know that it hasn’t been tampered with.
  • If you can reliably embody the state of the node in the node itself using Intrinsic Data Integrity, then all nodes can interact in parallel, independent of other interactions to maximize scalability and simultaneous processing. Either the node has the credits or it doesn’t. I don’t have to refer to a global ledger to find out, the state of the node is in the countersigned, tamper-proof chain.
  • Just like any meaningful communication, a protocol needs to be established to make sure that a transaction carries all the information needed for each node to run the processes and produce a new signed and chained state. This could be debits or credits to an account which modify the balance, or recoding courses and grades to a transcript which modify a Grade Point Average, or ratings and feedback contributing to a reputation score, and so on.
  • By distributing process at the foundation, and leveraging Intrinsic Data Integrity, our approach results in massive improvements in throughput (from parallel simultaneous independent processing), speed, latency, efficiency, and cost of hardware.
  • You also don’t need to incent people to hold their own record — they already want it.
  • Another noteworthy observation about humans, cells, and atoms, is that each has a general “container” that gets configured to a specific use.
  • Likewise, the Receptors we’ve built are a general purpose framework which can load code for different distributed applications. These Receptors are a lightweight processing container for the Ceptr Virtual Machine Host
  • Ceptr enables a developer to focus on the rules and transactions for their use case instead of building a whole framework for distributed applications.
  • how units in a currency are issued
  • Most people think that money is just money, but there are literally hundreds of decisions you can make in designing a currency to target particular needs, niches, communities or patterns of flow.
  • Blockchain cryptocurrencies are fiat currencies. They create tokens or coins from nothing
  • These coins are just “spoken into being”
  • the challenging task of
  • ensure there is no counterfeiting or double-spending
  • Blockchain cryptocurrencies are fiat currencies
  • These coins are just “spoken into being”
  • the challenging task of tracking all the coins that exist to ensure there is no counterfeiting or double-spending
  • You wouldn’t need to manage consensus about whether a cryptocoin is spent, if your system created accounts which have normal balances based on summing their transactions.
  • In a mutual credit system, units of currency are issued when a participant extends credit to another user in a standard spending transaction
  • Alice pays Bob 20 credits for a haircut. Alice’s account now has -20, and Bob’s has +20.
  • Alice spent credits she didn’t have! True
  • Managing the currency supply in a mutual credit system is about managing credit limits — how far people can spend into a negative balance
  • Notice the net number units in the system remains zero
  • One elegant approach to managing mutual credit limits is to set them based on actual demand.
  • concerns about manufacturing fake accounts to game credit limits (Sybil Attacks)
  • keep in mind there can be different classes of accounts. Easy to create, anonymous accounts may get NO credit limit
  • What if I alter my code to give myself an unlimited credit limit, then spend as much as I want? As soon as you pass the credit limit encoded in the shared agreements, the next person you transact with will discover you’re in an invalid state and refuse the transaction.
  • If two people collude to commit an illegal transaction by both hacking their code to allow a normally invalid state, the same still pattern still holds. The next person they try to transact with using untampered code will detect the problem and decline to transact.
  • Most modern community currency systems have been implemented as mutual credit,
  • Hawala is a network of merchants and businessmen, which has been operating since the middle ages, performing money transfers on an honor system and typically settling balances through merchandise instead of transferring money
  • Let’s look at building a minimum viable cryptocurrency with the hawala network as our use case
  • To minimize key management infrastructure, each hawaladar’s public key is their address or identity on the network. To join the network you get a copy of the software from another hawaladar, generate your public and private keys, and complete your personal profile (name, location, contact info, etc.). You call, fax, or email at least 10 hawaladars who know you, and give them your IP address and ask them to vouch for you.
  • Once 10 other hawaladars have vouched for you, you can start doing other transactions because the protocol encoded in every node will reject a transaction chain that doesn’t start with at least 10 vouches
  • seeding your information with those other peers so you can be found by the rest of the network.
  • As described in the Mutual Credit section, at the time of transaction each party audits the counterparty’s transaction chain.
  • Our hawala crypto-clearinghouse protocol has two categories of transactions: some used for accounting and others for routing. Accounting transactions change balances. Routing transactions maintain network integrity by recording information about hawaladar
  • Accounting Transactions create signed data that changes account balances and contains these fields:
  • The final hash of all of the above fields is used as a unique transaction ID and is what each of party signs with their private keys. Signing indicates a party has agreed to the terms of the transaction. Only transactions signed by both parties are considered valid. Nodes can verify signatures by confirming that decryption of the signature using the public key yields a result which matches the transaction ID.
  • Routing Transactions sign data that changes the peers list and contain these fields:
  • As with accounting transactions, the hash of the above fields is used as the transaction’s unique key and the basis for the cryptographic signature of both counterparties.
  • Remember, instead of making changes to account balances, routing transactions change a node’s local list of peers for finding each other and processing.
  • a distributed network of mutual trust
  • operates across national boundaries
  • everyone already keeps and trusts their own separate records
  • Hawaladars are not anonymous
  • “double-spending”
  • It would be possible for someone to hack the code on their node to “forget” their most recent transaction (drop the head of their chain), and go back to their previous version of the chain before that transaction. Then they could append a new transaction, drop it, and append again.
  • After both parties have signed the agreed upon transaction, each party submits the transaction to separate notaries. Notaries are a special class of participant who validate transactions (auditing each chain, ensuring nobody passes through an invalid state), and then they sign an outer envelope which includes the signatures of the two parties. Notaries agree to run high-availability servers which collectively manage a Distributed Hash Table (DHT) servicing requests for transaction information. As their incentive for providing this infrastructure, notaries get a small transaction fee.
  • This approach introduces a few more steps and delays to the transaction process, but because it operates on independent parallel chains, it is still orders of magnitude more efficient and decentralized than reaching consensus on entries in a global ledger
  • millions of simultaneous transactions could be getting processed by other parties and notaries with no bottlenecks.
  • There are other solutions to prevent nodes from dropping the head of their transaction chain, but the approach of having notaries serve out a DHT solves a number of common objections to completely distributed accounting. Having access to reliable lookups in a DHT provides a similar big picture view that you get from a global ledger. For example, you may want a way to look up transactions even when the parties to that transaction are offline, or to be able to see the net system balance at a particular moment in time, or identify patterns of activity in the larger system without having to collect data from everyone individually.
  • By leveraging Intrinsic Data Integrity to run numerous parallel tamper-proof chains you can enable nodes to do various P2P transactions which don’t actually require group consensus. Mutual credit is a great way to implement cryptocurrencies to run in this peered manner. Basic PKI with a DHT is enough additional infrastructure to address main vulnerabilities. You can optimize your solution architecture by reserving reserve consensus work for tasks which need to guarantee uniqueness or actually involve large scale agreement by humans or automated contracts.
  • It is not only possible, but far more scalable to build cryptocurrencies without a global ledger consensus approach or cryptographic tokens.
  •  
    Article written by Arthur Brook, founder of Metacurrency project and of Ceptr.
Tiberius Brastaviceanu

Welcome to the new reputation economy (Wired UK) - 1 views

  • banks take into account your online reputation alongside traditional credit ratings to determine your loan
  • headhunters hire you based on the expertise you've demonstrated on online forums
  • reputation data becomes the window into how we behave, what motivates us, how our peers view us and ultimately whether we can or can't be trusted.
  • ...37 more annotations...
  • At the heart of Movenbank is a concept call CRED.
  • The difference today is our ability to capture data from across an array of digital services. With every trade we make, comment we leave, person we "friend", spammer we flag or badge we earn, we leave a trail of how well we can or can't be trusted.
  • An aggregated online reputation having a real-world value holds enormous potential
  • peer-to-peer marketplaces, where a high degree of trust is required between strangers; and where a traditional approach based on disjointed information sources is currently inefficient, such as recruiting.
  • opportunity to reinvent the way people found jobs through online reputation
  • "It's not about your credit, but your credibility," King says.
  • But this wealth of data raises an important question -- who owns our reputation? Shouldn't our hard-earned online status be portable? If you're a SuperHost on Airbnb, shouldn't you be able to use that reputation to, say, get a loan, or start selling on Etsy?
  • "People are currently underusing their networks and reputation," King says. "I want to help people to understand and build their influence and reputation, and think of it as capital they can put to good use."
  • Social scientists have long been trying to quantify the value of reputation.
  • Using functional magnetic resonance imaging, the researchers monitored brain activity
  • "The implication of our study is that different types of reward are coded by the same currency system." In other words, our brains neurologically compute personal reputation to be as valuable as money.
  • Personal reputation has been a means of making socioeconomic decisions for thousands of years. The difference today is that network technologies are digitally enabling the trust we used to experience face-to-face -- meaning that interactions and exchanges are taking place between total strangers.
  • Trust and reputation become acutely important in peer-to-peer marketplaces such as WhipCar and Airbnb, where members are taking a risk renting out their cars or their homes.
  • When you are trading peer-to-peer, you can't count on traditional credit scores. A different measurement is needed. Reputation fills this gap because it's the ultimate output of how much a community trusts you.
  • Welcome to the reputation economy, where your online history becomes more powerful than your credit history.
  • Presently, reputation data doesn't transfer between verticals.
  • A wave of startups, including Connect.Me, TrustCloud, TrustRank, Legit and WhyTrusted, are trying to solve this problem by designing systems that correlate reputation data. By building a system based on "reputation API" -- a combination of a user's activity, ratings and reviews across sites -- Legit is working to build a service that gives users a score from zero to 100. In trying to create a universal metric for a person's trustworthiness, they are trying to "become the credit system of the sharing economy", says Jeremy Barton, the 27-year-old San Francisco-based cofounder of Legit.
  • His company, and other reputation ventures, face some big challenges if they are to become, effectively, the PayPal of trust. The most obvious is coming up with algorithms that can't be easily gamed or polluted by trolls. And then there's the critical hurdle of convincing online marketplaces not just to open up their reputation vaults, but create a standardised format for how they frame and collect reputation data. "We think companies will share reputation data for the same reasons banks give credit data to credit bureaux," says Rob Boyle, Legit cofounder and CTO. "It is beneficial for one company to give up their slice of reputation data if in return they get access to the bigger picture: aggregated data from other companies."
  • PeerIndex, Kred and Klout,
  • are measuring social influence, not reputation. "Influence measures your ability to drag someone into action,"
  • "Reputation is an indicator of whether a person is good or bad and, ultimately, are they trustworthy?"
  • Early influence and reputation aggregators will undoubtedly learn by trial and error -- but they will also face the significant challenge of pioneering the use of reputation data in a responsible way. And there's a challenge beyond that: reputation is largely contextual, so it's tricky to transport it to other situations.
  • Many of the ventures starting to make strides in the reputation economy are measuring different dimensions of reputation.
  • reputation is a measure of knowledge
  • a measure of trust
  • a measure of propensity to pay
  • measure of influence
  • Reputation capital is not about combining a selection of different measures into a single number -- people are too nuanced and complex to be distilled into single digits or binary ratings.
  • It's the culmination of many layers of reputation you build in different places that genuinely reflect who you are as a person and figuring out exactly how that carries value in a variety of contexts.
  • The most basic level is verification of your true identity
  • reliability and helpfulness
  • do what we say we are going to do
  • respect another person's property
  • trusted to pay on time
  • we will be able to perform a Google- or Facebook-like search and see a picture of a person's behaviour in many different contexts, over a length of time. Slivers of data that have until now lived in secluded isolation online will be available in one place. Answers on Quora, reviews on TripAdvisor, comments on Amazon, feedback on Airbnb, videos posted on YouTube, social groups joined, or presentations on SlideShare; as well as a history and real-time stream of who has trusted you, when, where and why. The whole package will come together in your personal reputation dashboard, painting a comprehensive, definitive picture of your intentions, capabilities and values.
  • idea of global reputation
  • By the end of the decade, a good online reputation could be the most valuable currency in your possession.
Kurt Laitner

BPM vs. BPMS: How To Think Big and Act Small « Welcome to the Real (IT) World! - 0 views

  •  
    "IN ACM the business performers create the processes by doing them" a laudable goal, fits with "if this then that" approach bob mentioned in his github post
Francois Bergeron

Thinking Space: We are in a new transition, part 2 - 3 views

  • Modern education is a typical effort that people are trying to make a product line of high-quality mind asset.
  • Without explicit, formal presentation of mind asset, we cannot efficiently connect and compose varied mind asset and we cannot well measure the value of mind asset. The issue of mind aggregation is particularly critical because individual mind is often too shallow to be high quality.
  • There is a natural gap between the presented value of the mind asset in the book and the real value of the mind asset in real world. This gap of knowledge understanding is a typical difficulty of mind asset measurement.
  • ...1 more annotation...
  • Because of the Web, the first time in history human mind becomes a critical circulating asset in society that ordinary people can buy, sell, produce, and share.
  •  
    proposed by Kurt
Steve Bosserman

Scientist beams up a real Star Trek tricorder | Reuters - 1 views

  •  
    While it may sound like the stuff of science fiction, Jansen isn't the only one to take notice of just how useful a real functioning tricorder would be - especially as a medical tool. Telecommunications giant Qualcomm Inc this year launched the "Tricorder X-Prize Contest" with the slogan "Healthcare in the palm of your hand." Qualcomm hopes to motivate developers with a $10 million prize to make medical tricorders a reality. Wanda Moebus of the Advanced Medical Technology Association, who is not affiliated with Jansen or Qualcomm, told Reuters the X-Prize "is really cool," but cautioned that making a real medical tricorder device "would have to be measured on its safety and effect, like all other medical technologies." Jansen said he has been approached by "a couple of teams" about the X Prize, but added that his prototypes are more for science research than medical tools. Besides, he said he already is on to his next frontier, making a sort of "replicator," another "Star Trek" device that will create 3D objects and foods that are dimensional copies of real items. Jansen's "replicator" is a 3D printer, which in itself is not really new, but the scientist thinks about it in terms reminiscent of "Star Trek's" famous prologue. It's "like nothing we've ever seen before," Jansen said.
Steve Bosserman

When Cities Run Themselves | WOUB - 0 views

  •  
    Machines talking to machines No doubt that the Olympics will have a profound effect in shaping London's future. By the time the Games begin, for instance, it will have Europe's largest free WiFi zone, with the city's iconic red phone booths converted, fittingly, into hotspots. But another opportunity London landed earlier this month could have just as much impact, perhaps more. A company called Living PlanIt announced that it will begin testing its "Urban Operating System" in the Greenwich section of the city. What does that mean? Put simply, London would have its own operating system, much as your PC runs on Windows or your Mac runs on Apple's IOS. This ties into the latest hot buzz phrase, "the internet of things," which describes a world where machines talk to other machines. No human interaction required. So, for a city, this means sensors in buildings would connect to sensors in water treatment plants which would connect to sensors in stoplights. It would be one gigantic, computerized urban nervous system, which a lot of experts think is the only way cities can survive a future when they'll contain more than two out of every three people on Earth. Based on what sensors reveal about the location and movement of humans in a section of a city, for instance, buildings will automatically adjust their temperatures, streetlights will dim or brighten, water flow will increase or slow. Or, in the event of a disaster, emergency services would have real-time access to traffic data, trauma unit availability, building blueprints. And soon enough, our smart phones will be able to tap in to the Urban OS. So will our household appliances. This is not some 21st century analogue of the personal jet pack. The Urban OS is the driving force behind a smart city being built from the ground up in northern Portugal. Construction is scheduled to be completed in three years; eventually it will have about 150,000 residents. It will also have more than 100 million sen
Kurt Laitner

New Business Models - 48 hours of creating the future - Google+ - 0 views

  •  
    Sensorica mentioned at about 55 minutes mark (just after) - note that while many presenters not that interesting, Leif and Cliff at the beginning and again Leif and Cliff at the end made some interesting points, and in particular Leif Edvinsson very much in line with value networks thinking and alternative value flows - I think a fruitful interaction with Leif could result from inviting him into Sensorica
Tiberius Brastaviceanu

Action (Stanford Encyclopedia of Philosophy) - 0 views

  • intentionally
  • questions about the nature, variety, and identity of action
  • Should we think of the consequences, conventional or causal, of physical behavior as constituents of an action distinct from but ‘generated by’ the movement? Or should we think that there is a single action describable in a host of ways?
  • ...22 more annotations...
  • Donald Davidson
  • an action
  • is something an agent does that was ‘intentional under some description,’
  • there have been many attempts to map the relations between intentions for the future, acting intentionally, and acting with a certain intention.
  • There has been a notable or notorious debate about whether the agent's reasons in acting are causes of the action
  • rendered the action intelligible in his eyes
  • things that merely happen
  • things they genuinely do
  • distinction between
  • the doings, are the acts or actions of the agent
  • what distinguishes an action from a mere happening or occurrence?
  • An agent performs activity that is directed at a goal
  • adopted on the basis of an overall practical assessment of his options and opportunities
  • awareness
  • that he is performing the activity
  • and that the activity is aimed by him at such-and-such a chosen end
  • It is frequently noted that the agent has some sort of immediate awareness of his physical activity and of the goals that the activity is aimed at realizing.
  • ‘knowledge without observation.’
  • It is also important to the concept of ‘goal directed action’ that agents normally implement a kind of direct control or guidance over their own behavior.
  • For many years, the most intensely debated topic in the philosophy of action concerned the explanation of intentional actions in terms of the agent's reasons for acting
  • Davidson and other action theorists defended the position that reason explanations are causal explanations
  • In the foregoing, reference has been made to explanations of actions in terms of reasons, but recent work on agency has questioned whether contemporary frameworks for the philosophy of action have really articulated the way in which an agent's desires and other pro-attitudes have the distinctive force of reasons in the setting of these ordinary explanations
Kurt Laitner

Digital Reality | Edge.org - 0 views

  • When you snap the bricks together, you don't need a ruler to play Lego; the geometry comes from the parts
  • first attribute is metrology that comes from the parts
  • digitizing composites into little linked loops of carbon fiber instead of making giant pieces
  • ...75 more annotations...
  • In a 3D printer today, what you can make is limited by the size of the machine. The geometry is external
  • is the Lego tower is more accurate than the child because the constraint of assembling the bricks lets you detect and correct errors
  • That's the exponential scaling for working reliably with unreliable parts
  • Because the parts have a discrete state, it means in joining them you can detect and correct errors
  • detect and correct state to correct errors to get an exponential reduction in error, which gives you an exponential increase in complexity
  • The next one is you can join Lego bricks made out of dissimilar materials.
  • The last one is when you're done with Lego you don't put it in the trash; you take it apart and reuse it because there's state in the materials. In a forest there's no trash; you die and your parts get disassembled and you're made into new stuff. When you make a 3D print or laser cut, when you're done there's recycling attempts but there's no real notion of reusing the parts
  • The metrology coming from the parts, detecting and correcting errors, joining dissimilar materials, disconnecting, reusing the components
  • On the very smallest scale, the most exciting work on digital fabrication is the creation of life from scratch. The cell does everything we're talking about. We've had a great collaboration with the Venter Institute on microfluidic machinery to load designer genomes into cells. One step up from that we're developing tabletop chip fab instead of a billion dollar fab, using discrete assembly of blocks of electronic materials to build things like integrated circuits in a tabletop process
  • a child can make a Lego structure bigger than themself
  • There's a series of books by David Gingery on how to make a machine shop starting with charcoal and iron ore.
  • There are twenty amino acids. With those twenty amino acids you make the motors in the molecular muscles in my arm, you make the light sensors in my eye, you make my neural synapses. The way that works is the twenty amino acids don't encode light sensors, or motors. They’re very basic properties like hydrophobic or hydrophilic. With those twenty properties you can make you. In the same sense, digitizing fabrication in the deep sense means that with about twenty building blocks—conducting, insulating, semiconducting, magnetic, dielectric—you can assemble them to create modern technology
  • By discretizing those three parts we can make all those 500,000 resistors, and with a few more parts everything else.
  • Now, there's a casual sense, which means a computer controls something to make something, and then there's the deep sense, which is coding the materials. Intellectually, that difference is everything but now I'm going to explain why it doesn't matter.
  • Then in turn, the next surprise was they weren't there for research, they weren't there for theses, they wanted to make stuff. I taught additive, subtractive, 2D, 3D, form, function, circuits, programming, all of these skills, not to do the research but just using the existing machines today
  • What they were answering was the killer app for digital fabrication is personal fabrication, meaning, not making what you can buy at Walmart, it’s making what you can't buy in Walmart, making things for a market of one person
  • The minicomputer industry completely misread PCs
  • the Altair was life changing for people like me. It was the first computer you could own as an individual. But it was almost useless
  • It was hard to use but it brought the cost from a million dollars to 100,000 and the size from a warehouse down to a room. What that meant is a workgroup could have one. When a workgroup can have one it meant Ken Thompson and Dennis Ritchie at Bell Labs could invent UNIX—which all modern operating systems descend from—because they didn't have to get permission from a whole corporation to do it
  • At the PC stage what happened is graphics, storage, processing, IO, all of the subsystems got put in a box
  • To line that up with fabrication, MIT's 1952 NC Mill is similar to the million-dollar machines in my lab today. These are the mainframes of fab. You need a big organization to have them. The fab labs I'll tell you about are exactly analogous to the cost and complexity of minicomputers. The machines that make machines I'll tell you about are exactly analogous to the cost and complexity of the hobbyist computers. The research we're doing, which is leading up to the Star Trek Replicator, is what leads to the personal fabricator, which is the integrated unit that makes everything
  • conducting, resistive, insulating.
  • The fab lab is 2 tons, a $100,000 investment. It fills a few thousand square feet, 3D scanning and printing, precision machining, you can make circuit boards, molding and casting tooling, computer controlled cutting with a knife, with a laser, large format machining, composite layup, surface mount rework, sensors, actuators, embedded programming— technology to make technology.
  • Ten years you can just plot this doubling. Today, you can send a design to a fab lab and you need ten different machines to turn the data into something. Twenty years from now, all of that will be in one machine that fits in your pocket.
  • We've been living with this notion that making stuff is an illiberal art for commercial gain and it's not part of the means of expression. But, in fact, today, 3D printing, micromachining, and microcontroller programming are as expressive as painting paintings or writing sonnets but they're not means of expression from the Renaissance. We can finally fix that boundary between art and artisans
  • You don't go to a fab lab to get access to the machine; you go to the fab lab to make the machine.
  • Over the next maybe five years we'll be transitioning from buying machines to using machines to make machines. Self-reproducing machines
  • But they still have consumables like the motors, and they still cut or squirt. Then the interesting transition comes when we go from cutting or printing to assembling and disassembling, to moving to discretely assembled materials
  • because if anybody can make anything anywhere, it challenges everything
    • Kurt Laitner
       
      great quote (replace challenges with changes for effect)
  • Now, the biggest surprise for me in this is I thought the research was hard. It's leading to how to make the Star Trek Replicator. The insight now is that's an exercise in embodied computation—computation in materials, programming their construction. Lots of work to come, but we know what to do
  • And that's when you do tabletop chip fab or make airplanes. That's when technical trash goes away because you can disassemble. 
  • irritated by the maker movement for the failure in mentoring
  • At something like a Maker Faire, there's hall after hall of repeated reinventions of bad 3D printers and there isn't an easy process to take people from easy to hard
  • We started a project out of desperation because we kept failing to succeed in working with existing schools, called the Fab Academy. Now, to understand how that works, MIT is based on scarcity. You assume books are scarce, so you have to go there for the library; you assume tools are scarce, so you have to go there for the machines; you assume people are scarce, so you have to go there to see them; and geography is scarce. It adds up to we can fit a few thousand people at a time. For those few thousand people it works really well. But the planet is a few billion people. We're off by six orders of magnitude. 
  • Next year we're starting a new class with George Church that we've called "How to Grow Almost Anything", which is using fab labs to make bio labs and then teach biotech in it. What we're doing is we're making a new global kind of university
  • Amusingly, I went to my friends at Educause about accrediting the Fab Academy and they said, "We love it. Where are you located?" And I said, "Yes" and they said, "No." Meaning, "We're all over the earth." And they said, "We have no mechanism. We're not allowed to do that. There's no notion of global accreditation."
  • Then they said something really helpful: "Pretend."
  • Once you have a basic set of tools, you can make all the rest of the tools
  • The way the Fab Academy works, in computing terms, it's like the Internet. Students have peers in workgroups, with mentors, surrounded by machines in labs locally. Then we connect them globally by video and content sharing and all of that. It's an educational network. There are these critical masses of groups locally and then we connect them globally
  • You still have Microsoft or IBM now but, with all respect to colleagues there, arguably that's the least interesting part of software
  • To understand the economic and social implications, look at software and look at music to understand what's happening now for fabrication
  • There's a core set of skills a place like MIT can do but it alone doesn't scale to a billion people. This is taking the social engineering—the character of MIT—but now doing it on this global scale.
  • Mainframes didn't go away but what opened up is all these tiers of software development that weren't economically viable
  • If you look at music development, the most interesting stuff in music isn't the big labels, it's all the tiers of music that weren't viable before
  • You can make music for yourself, for one, ten, 100, 1,000, a million. If you look at the tracks on your device, music is now in tiers that weren't economically viable before. In that example it's a string of data and it becomes a sound. Now in digital fab, it's a string of data and it becomes a thing.
  • What is work? For the average person—not the people who write for Edge, but just an average person working—you leave home to go to a place you'd rather not be, doing a repetitive operation you'd rather not do, making something designed by somebody you don't know for somebody you'll never see, to get money to then go home and buy something. But what if you could skip that and just make the thing?
    • Kurt Laitner
       
      !!!
  • It took about ten years for the dot com industry to realize pretty much across the board you don't directly sell the thing. You sell the benefits of the thing
  • 2016 it's in Shenzhen because they're pivoting from mass manufacturing to enabling personal fabrication. We've set Shenzhen as the goal in 2016 for Fab Lab 2.0, which is fab labs making fab labs
  • To rewind now, you can send something to Shenzhen and mass manufacture it. There's a more interesting thing you can do, which is you go to market by shipping data and you produce it on demand locally, and so you produce it all around the world.
  • But their point was a lot of printers producing beautiful pages slowly scales if all the pages are different
  • In the same sense it scales to fabricate globally by doing it locally, not by shipping the products but shipping the data.
  • It doesn't replace mass manufacturing but mass manufacturing becomes the least interesting stuff where everybody needs the same thing. Instead, what you open up is all these tiers that weren't viable before
  • There, they consider IKEA the enemy because IKEA defines your taste. Far away they make furniture and flat pack it and send it to a big box store. Great design sense in Barcelona, but 50 percent youth unemployment. A whole generation can't work. Limited jobs. But ships come in from the harbor, you buy stuff in a big box store. And then after a while, trucks go off to a trash dump. They describe it as products in, trash out. Ships come in with products, trash goes out
    • Kurt Laitner
       
      worse actually.. the trash stays
  • The bits come and go, globally connected for knowledge, but the atoms stay in the city.
  • instead of working to get money to buy products made somewhere else, you can make them locally
    • Kurt Laitner
       
      this may solve greece's problem, walk away from debt, you can't buy other people's (country's) stuff anymore, so make it all yourself
  • The biggest tool is a ShotBot 4'x8'x1' NC mill, and you can make beautiful furniture with it. That's what furniture shops use
  • Anything IKEA makes you can make in a fab lab
  • it means you can make many of the things you consume directly rather than this very odd remote economic loop
  • the most interesting part of the DIY phone projects is if you're making a do-it-yourself phone, you can also start to make the things that the phones talk to. You can start to build your own telco providers where the users provide the network rather than spending lots of money on AT&T or whoever
  • Traditional manufacturing is exactly replaying the script of the computer companies saying, "That's a toy," and it's shining a light to say this creates entirely new economic activity. The new jobs don't come back to the old factories. The ability to make stuff on demand is creating entirely new jobs
  • To keep playing that forward, when I was in Barcelona for the meeting of all these labs hosted by the city architect and the city, the mayor, Xavier Trias, pushed a button that started a forty-year countdown to self-sufficiency. Not protectionism
  • I need high-torque efficient motors with integrated lead screws at low cost, custom-produced on demand. All sorts of the building blocks that let us do what I'm doing currently rest on a global supply chain including China's manufacturing agility
  • The short-term answer is you can't get rid of them because we need them in the supply chain. But the long-term answer is Shenzhen sees the future isn't mass producing for everybody. That's a transitional stage to producing locally
  • My description of MIT's core competence is it's a safe place for strange people
  • The real thing ultimately that's driving the fab labs ... the vacuum we filled is a technical one. The means to make stuff. Nobody was providing that. But in turn, the spaces become magnets. Everybody talks about innovation or knowledge economy, but then most things that label that strangle it. The labs become vehicles for bright inventive people who don't fit locally. You can think about the culture of MIT but on this global scale
  • My allegiance isn't to any one border, it's to the brainpower of the planet and this is building the infrastructure to scale to that brainpower
  • If you zoom from transistors to microcode to object code to a program, they don't look like each other. But if we take this room and go from city, state, country, it's hierarchical but you preserve geometry
  • Computation violates geometry unlike most anything else we do
  • The reason that's so important for the digital fabrication piece is once we build molecular assemblers to build arbitrary systems, you don't want to then paste a few lines of code in it. You need to overlay computation with geometry. It's leading to this complete do-over of computer science
  • If you take digital fab, plus the real sense of Internet of Things—not the garbled sense—plus the real future of computing aligning hardware and software, it all adds up to this ability to program reality
  • I run a giant video infrastructure and I have collaborators all over the world that I see more than many of my colleagues at MIT because we're all too busy on campus. The next Silicon Valley is a network, it's not a place. Invention happens in these networks.
  • When Edwin Land was kicked out of Polaroid, he made the Rowland Institute, which was making an ideal research institute with the best facilities and the best people and they could do whatever they want. But almost nothing came from it because there was no turnover of the gene pool, there was no evolutionary pressure.  
  • the wrong way to do research, which is to believe there's a privileged set of people that know more than anybody else and to create a barrier that inhibits communication from the inside to the outside
  • you need evolutionary pressure, you need traffic, you need to be forced to deal with people you don't think you need to encounter, and you need to recognize that to be disruptive it helps to know what people know
  • For me the hardest thing isn't the research. That's humming along nicely. It's that we're finding we have to build a completely new kind of social order and that social entrepreneurship—figuring out how you live, learn, work, play—is hard and there's a very small set of people who can do that kind of organizational creation.
    • Kurt Laitner
       
      our challenge in the OVN space
  •  
    what is heavy is local, what is light is global, and increasingly manufacturing is being recreated along this principle
Tiberius Brastaviceanu

The New Normal in Funding University Science | Issues in Science and Technology - 1 views

  • Government funding for academic research will remain limited, and competition for grants will remain high. Broad adjustments will be needed
  • he sequester simply makes acute a chronic condition that has been getting worse for years.
  • the federal budget sequester
  • ...72 more annotations...
  • systemic problems that arise from the R&D funding system and incentive structure that the federal government put in place after World War II
  • Researchers across the country encounter increasingly fierce competition for money.
  • unding rates in many National Institutes of Health (NIH) and National Science Foundation (NSF) programs are now at historical lows, declining from more than 30% before 2001 to 20% or even less in 2011
  • even the most prominent scientists will find it difficult to maintain funding for their laboratories, and young scientists seeking their first grant may become so overwhelmed that individuals of great promise will be driven from the field
  • anxiety and frustration
  • The growth of the scientific enterprise on university campuses during the past 60 years is not sustainable and has now reached a tipping point at which old models no longer work
  • Origins of the crisis
  • ederal funding agencies must work with universities to ensure that new models of funding do not stymie the progress of science in the United States
  • The demand for research money greatly exceeds the supply
  • the demand for research funding has gone up
  • The deeper sources of the problem lie in the incentive structure of the modern research university, the aspirations of scientists trained by those universities, and the aspirations of less research-intensive universities and colleges across the nation
  • competitive grants system
  • if a university wants to attract a significant amount of sponsored research money, it needs doctoral programs in the relevant fields and faculty members who are dedicated to both winning grants and training students
  • The production of science and engineering doctorates has grown apace
  • Even though not all doctorate recipients become university faculty, the size of the science and engineering faculty at U.S. universities has grown substantially
  • proposal pressure goes up
  • These strategies make sense for any individual university, but will fail collectively unless federal funding for R&D grows robustly enough to keep up with demand.
  • At the very time that universities were enjoying rapidly growing budgets, and creating modes of operation that assumed such largess was the new normal, Price warned that it would all soon come to a halt
  • the human and financial resources invested in science had been increasing much faster than the populations and economies of those regions
  • growth in the scientific enterprise would have to slow down at some point, growing no more than the population or the economy.
  • Dead-end solutions
  • studies sounded an alarm about the potential decline in U.S. global leadership in science and technology and the grave implications of that decline for economic growth and national security
  • Although we are not opposed to increasing federal funding for research, we are not optimistic that it will happen at anywhere near the rate the Academies seek, nor do we think it will have a large impact on funding rates
  • universities should not expect any radical increases in domestic R&D budgets, and most likely not in defense R&D budgets either, unless the discretionary budgets themselves grow rapidly. Those budgets are under pressure from political groups that want to shrink government spending and from the growth of spending in mandatory programs
  • The basic point is that the growth of the economy will drive increases in federal R&D spending, and any attempt to provide rapid or sustained increases beyond that growth will require taking money from other programs.
  • The demand for research money cannot grow faster than the economy forever and the growth curve for research money flattened out long ago.
  • Path out of crisis
  • The goal cannot be to convince the government to invest a higher proportion of its discretionary spending in research
  • Getting more is not in the cards, and some observers think the scientific community will be lucky to keep what it has
  • The potential to take advantage of the infrastructure and talent on university campuses may be a win-win situation for businesses and institutions of higher education.
  • Why should universities and colleges continue to support scientific research, knowing that the financial benefits are diminishing?
  • esearch culture
  • attract good students and faculty as well as raise their prestige
  • mission to expand the boundaries of human knowledge
  • faculty members are committed to their scholarship and will press on with their research programs even when external dollars are scarce
  • training
  • take place in
  • research laboratories
  • it is critical to have active research laboratories, not only in elite public and private research institutions, but in non-flagship public universities, a diverse set of private universities, and four-year colleges
  • How then do increasingly beleaguered institutions of higher education support the research efforts of the faculty, given the reality that federal grants are going to be few and far between for the majority of faculty members? What are the practical steps institutions can take?
  • change the current model of providing large startup packages when a faculty member is hired and then leaving it up to the faculty member to obtain funding for the remainder of his or her career
  • universities invest less in new faculty members and spread their internal research dollars across faculty members at all stages of their careers, from early to late.
    • Tiberius Brastaviceanu
       
      Sharing of resources, see SENSORICA's NRP
  • national conversation about changes in startup packages and by careful consultations with prospective faculty hires about long-term support of their research efforts
  • Many prospective hires may find smaller startup packages palatable, if they can be convinced that the smaller packages are coupled with an institutional commitment to ongoing research support and more reasonable expectations about winning grants.
  • Smaller startup packages mean that in many situations, new faculty members will not be able to establish a functioning stand-alone laboratory. Thus, space and equipment will need to be shared to a greater extent than has been true in the past.
  • construction of open laboratory spaces and the strategic development of well-equipped research centers capable of efficiently servicing the needs of an array of researchers
  • phaseout of the individual laboratory
  • enhanced opportunities for communication and networking among faculty members and their students
  • Collaborative proposals and the assembly of research teams that focus on more complex problems can arise relatively naturally as interactions among researchers are facilitated by proximity and the absence of walls between laboratories.
  • An increased emphasis on team research
  • investments in the research enterprise
  • can be directed at projects that have good buy-in from the faculty
  • learn how to work both as part of a team and independently
  • Involvement in multiple projects should be encouraged
  • The more likely trajectory of a junior faculty member will evolve from contributing team member to increasing leadership responsibilities to team leader
  • nternal evaluations of contributions and potential will become more important in tenure and promotion decisions.
    • Tiberius Brastaviceanu
       
      Need value accounting system
  • relationships with foundations, donors, state agencies, and private business will become increasingly important in the funding game
  • The opportunities to form partnerships with business are especially intriguing
    • Tiberius Brastaviceanu
       
      The problem is to change the model and go open source, because IP stifles other processes that might benefit Universities!!!
  • Further complicating university collaborations with business is that past examples of such partnerships have not always been easy or free of controversy.
  • some faculty members worried about firms dictating the research priorities of the university, pulling graduate students into proprietary research (which could limit what they could publish), and generally tugging the relevant faculty in multiple directions.
  • developed rules and guidelines to control them
  • University faculty and businesspeople often do not understand each other’s cultures, needs, and constraints, and such gaps can lead to more mundane problems in university/industry relations, not least of which are organizational demands and institutional cultures
    • Tiberius Brastaviceanu
       
      Needs for mechanisms to govern, coordinate, structure an ecosystem -See SENSORICA's Open Alliance model
  • n addition to funding for research, universities can receive indirect benefits from such relationships. High-profile partnerships with businesses will underline the important role that universities can play in the economic development of a region.
  • Universities have to see firms as more than just deep pockets, and firms need to see universities as more than sources of cheap skilled labor.
  • foundations or other philanthropy
  • We do not believe that research proposed and supervised by individual principal investigators will disappear anytime soon. It is a research model that has proven to be remarkably successful and enduring
  • However, we believe that the most vibrant scientific communities on university and college campuses, and the ones most likely to thrive in the new reality of funding for the sciences, will be those that encourage the formation of research teams and are nimble with regard to funding sources, even as they leave room for traditional avenues of funding and research.
Kurt Laitner

Crowding Out - P2P Foundation - 1 views

  • The curve indicates that while workers will initially chose to work more when paid more per hour, there is a point after which rational workers will choose to work less
    • Kurt Laitner
       
      in other words, people are financially motivated until they are financially secure, then other motivations come in
  • "leaders" elsewhere will come and become your low-paid employees
  • At that point, the leaders are no longer leaders of a community, and they turn out to be suckers after all, working for pittance, comparatively speaking
    • Kurt Laitner
       
      so part of the dynamic is that everyone is paid fairly, if not there is the feeling of exploitation
  • ...36 more annotations...
  • under certain structural conditions non-price-based production is extraordinarily robust
    • Kurt Laitner
       
      which are... abundance?
  • There is, in fact, a massive amount of research that supports the idea that when you pay people to do something for you, they stop enjoying it, and distrust their own motivations. The mysterious something that goes away, and that “Factor X” even has a name: intrinsic motivation.
    • Kurt Laitner
       
      the real question though is why, and whether it is the paying them that is the problem, or perhaps how that is determined, and who else gets what on what basis..  if you have to have them question the fairness of the situation, they will likely check out
  • giving rewards to customers can actually undermine a company’s relationship with them
  • It just is not so easy to assume that because people behave productively in one framework (the social process of peer production that is Wikipedia, free and open source software, or Digg), that you can take the same exact behavior, with the same exact set of people, and harness them to your goals by attaching a price to what previously they were doing in a social process.
  • Extrinsic rewards suggest that there is actually an instrumental relationship at work, that you do the activity in order to get something else
  • If you pay me for it, it must be work
    • Kurt Laitner
       
      only because a dichotomy of work and play exists in western culture
  • It’s what we would call a robust effect. It shows up in many contexts. And there’s been considerable testing to try to find out exactly why it works. A major school of thought is that there is an “Overjustification Effect.” (http://kozinets.net/archives/133)
    • Kurt Laitner
       
      yes, why is key
  • interesting examples of an effect called crowding
  • Offering financial rewards for contributions to online communities basically means mixing external and intrinsic motivation.
  • A good example is children who are paid by their parents for mowing the family lawn. Once they expect to receive money for that task, they are only willing to do it again if they indeed receive monetary compensation. The induced unwillingness to do anything for free may also extend to other household chores.
  • Once ‘gold-stars’ were introduced as a symbolic reward for a certain amount of time spent practicing the instrument, the girl lost all interest in trying new, difficult pieces. Instead of aiming at improving her skills, her goal shifted towards spending time playing well-learned, easy pieces in order to receive the award (Deci with Flaste 1995)
    • Kurt Laitner
       
      this is a more troubling example, as playing the harder pieces is also practicing - I would take this as a more complex mechanism at work - perhaps the reinterpretation by the girl that all playing was considered equal, due to the pricing mechanism, in which case the proximal solution would be to pay more for more complex pieces, or for levels of achievement - the question remains of why the extrinsic reward was introduced in the first place (unwillingness to practice as much as her parents wanted?) - which would indicate intrinsic motivation was insufficient in this case
  • Suddenly, she managed to follow the prescription, as her own (intrinsic) motivation was recognized and thereby reinforced.
    • Kurt Laitner
       
      or perhaps the key was to help her fit the medication into her day, which she was having trouble with...
  • The introduction of a monetary fine transforms the relationship between parents and teachers from a non-monetary into a monetary one
    • Kurt Laitner
       
      absolutely, in some sense the guilt of being late is replaced by a rationalization that you are paying them - it is still a rationalization, and parents in this case need to be reminded that staff have lives too to reinforce the moral suasion
  • "The effects of external interventions on intrinsic motivation have been attributed to two psychological processes: (a) Impaired self-determination. When individuals perceive an external intervention to reduce their self-determination, they substitute intrinsic motivation by extrinsic control. Following Rotter (1966), the locus of control shifts from the inside to the outside of the person affected. Individuals who are forced to behave in a specific way by outside intervention, feel overjustified if they maintained their intrinsic motivation. (b) Impaired self-esteem. When an intervention from outside carries the notion that the actor's motivation is not acknowledged, his or her intrinsic motivation is effectively rejected. The person affected feels that his or her involvement and competence is not appreciated which debases its value. An intrinsically motivated person is taken away the chance to display his or her own interest and involvement in an activity when someone else offers a reward, or commands, to undertake it. As a result of impaired self-esteem, individuals reduce effort.
    • Kurt Laitner
       
      these are finally very useful - so from (a) as long as self determination is maintained (actively) extrinsic reward should not shut down intrinsic motivation AND (b) so long as motivations are recognized and reward dimensions OTHER THAN financial continue to operate, extrinsic reward should not affect intrinsic motivation
  • External interventions crowd-out intrinsic motivation if the individuals affected perceive them to be controlling
    • Kurt Laitner
       
      emphasis on "if" and replacing that with "in so far as"
  • External interventions crowd-in intrinsic motivation if the individuals concerned perceive it as supportive
    • Kurt Laitner
       
      interesting footnote
  • In that case, self-esteem is fostered, and individuals feel that they are given more freedom to act, thus enlarging self-determination
    • Kurt Laitner
       
      so effectively a system needs to ensure it is acting on all dimensions of reward, or at least those most important to the particular participant, ego (pride, recognition, guilt reduction, feeling needed, being helpful, etc), money (sustenance, beyond which it is less potent), meaning/purpose etc.  If one ran experiments controlling for financial self sufficiency, then providing appreciation and recognition as well as the introduced financial reward, they might yield different results
  • cultural categories that oppose marketplace modes of behavior (or “market logics”) with the more family-like modes of behavior of caring and sharing that we observe in close-knit communities (”community logics”)
    • Kurt Laitner
       
      are these learned or intrinsic?
  • this is labor, this is work, just do it.
    • Kurt Laitner
       
      except that this cultural meme is already a bias, not a fact
  • When communal logics are in effect, all sorts of norms of reciprocity, sacrifice, and gift-giving come into play: this is cool, this is right, this is fun
    • Kurt Laitner
       
      true, and part of our challenge then is to remove this dichotomy
  • So think about paying a kid to clean up their room, paying parishioners to go to church, paying people in a neighborhood to attend a town hall meeting, paying people to come out and vote. All these examples seem a little strange or forced. Why? Because they mix and match the communal with the market-oriented.
    • Kurt Laitner
       
      and perhaps the problem is simply the conversion to money, rather than simply tracking these activities themselves (went to church 50 times this year!, helped 50 orphans get families!) (the latter being more recognition than reward
  • Payment as disincentive. In his interesting book Freakonomics, economist Steven Levitt describes some counterintuitive facts about payment. One of the most interesting is that charging people who do the wrong thing often causes them to do it more, and paying people to do the right thing causes them to do it less.
    • Kurt Laitner
       
      and tracking them causes them to conform to cultural expectations
  • You direct people _away_ from any noble purpose you have, and instead towards grubbing for dollars
    • Kurt Laitner
       
      and we are left with the challenge, how to work to purpose but still have our scarce goods needs sufficiently provided for?  it has to be for love AND money
  • When people work for a noble purpose, they are told that their work is highly valued. When people work for $0.75/hour, they are told that their work is very low-valued
    • Kurt Laitner
       
      so pay them highly for highly valued labour, and don't forget to recognize them as well... no?
  • you're going to have to fight your way through labour laws and tax issues all the way to bankruptcy
    • Kurt Laitner
       
      this is a non argument, these are just interacting but separate problems, use ether or bitcoin, change legislation, what have you
  • Market economics. If you have open content, I can copy your content to another wiki, not pay people, and still make money. So by paying contributors, you're pricing yourself out of the market.
    • Kurt Laitner
       
      exactly, so use commonsource, they can use it all they want, but they have to flow through benefit (provide attribution, recognition, and any financial reward must be split fairly)
  • You don't have to pay people to do what they want to do anyways. The labour cost for leisure activities is $0. And nobody is going to work on a wiki doing things they don't want to do.
    • Kurt Laitner
       
      wow, exploitative in the extreme - no one can afford to do work for free, it cuts into paid work, family time etc.  if they are passionate about something they will do it for free if they cannot get permission to do it for sustenance, but they still need to sustain themselves, and they are making opportunity cost sacrifices, and if you are in turn making money off of this you are an asshole.. go ahead look in the mirror and say "I am an asshole"
  • No fair system. There's simply no fair, automated and auditable way to divvy up the money
    • Kurt Laitner
       
      this is an utter cop out - figure out what is close enough to fair and iterate forward to improve it, wow
  • too complicated to do automatically. But if you have a subjective system -- have a human being evaluate contributions to an article and portion out payments -- it will be subject to constant challenges, endless debates, and a lot of community frustration.
    • Kurt Laitner
       
      yes to the human evaluation part, but "it's too complicated" is disingenuous at the least
  • Gaming the system. People are really smart. If there's money to be made, they'll figure out how to game your payment system to get more money than they actually deserve
    • Kurt Laitner
       
      yes indeed, so get your metrics right, and be prepared to adjust them as they are gamed - and ultimately, as financial penalties are to BP, even if some people game the system, can we better the gaming of the capitalist system.. it's a low bar I know
  • They'll be trying to get as much money out of you as possible, and you'll be trying to give as little as you can to them
    • Kurt Laitner
       
      it doesn't have to be this way, unless you think that way already
  • If you can't convince people that working on your project is worth their unpaid time, then there's probably something wrong with your project.
    • Kurt Laitner
       
      wow, talk about entrepreneurial taker attitude rationalization
  • People are going to be able to sense that -- it's going to look like a cover-up, something sleazy
    • Kurt Laitner
       
      and getting paid for others free work isn't sleazy, somehow...?
  • Donate.
    • Kurt Laitner
       
      better yet, give yourself a reasonable salary, and give the rest away
  • Thank-you gifts
    • Kurt Laitner
       
      cynical.. here have a shiny bobble you idiot
  • Pay bounties
    • Kurt Laitner
       
      good way to get people to compete ineffectively instead of cooperating on a solution, the lottery mechanism is evil
  •  
    while good issue are brought up in this article, the solutions offered are myopic and the explanations of the observed effects not satisfying
Kurt Laitner

Value Creating Service Systems: From Service Systems to Digital Lives - 0 views

  •  
    "Service dominant logic suggest that value is always co-created in context of use and experience. Co-creation is not an option (Vargo and Lusch, 2004, 2008). "Moving things along meant a focus on 2 key aspects. philosophy and methods. "An SD logic approach is not one that you can run a survey of attitude, behaviours or intentions. The person is embedded in his actions and practices of value creation. The focus on context means the unit of analysis is in the sociology of real life behaviours. A sociological approach makes methods a problem because we've inherited a world where we have created tools from analysing water in a bucket, not by looking at its behaviour in a river. "GD logic is compelling not only because it is entrenched for over 500 years, but also because you could measure its constructs. GDP, sales, revenues, CPI - they are all constructs of a GD logic society. What SD logic needed was better methods and new constructs. "To that end, and rather ironically, I found an ally in digital technology. Here was a world of sensors and actuators with an enthusiastic community looking for novel ways of deploying them into homes and buildings i.e. the internet-of-things. "I also found, as an ally, the thinking around new economic and business models. Here was another strand of literature largely marginalised by mainstream business literature because it was (the way I interpreted it) taking a systemic view of value proposition, value creation and value capture (ie, change one, change all) and the way the organisation had to be agile and transformed for it - which sat very nicely with SD logic. "Customised products are firm centric. Personalised products are customer initiated and empowering. Personalised products also tend to move the product into becoming platforms to afford co-creation, which advanced the notion of symmetry in value co-creation further. Finally, with the advent of platforms, the economics of 2 or multi-sided markets completed my set of theoretica
  •  
    an interesting starting point for research
Tiberius Brastaviceanu

Fostering creativity. A model for developing a culture of collective creativity in science - 0 views

  • Scientific progress depends on both conceptual and technological advances, which in turn depend on the creativity of scientists
  • creative processes behind these discoveries rely on mechanisms that are similar across disciplines as diverse as art and science
  • research into the nature of creativity indicates that it depends strongly on the cultural environment
  • ...48 more annotations...
  • create optimal conditions in a research organization with the aim of enhancing the creativity of its scientific staff
  • Creativity has been traditionally associated with art and literature but since the early twentieth century, science has also been regarded as a creative activity
  • Measuring creativity is a challenging task owing to its complex and elusive nature
  • Measurement of brain activity showed that creativity correlates with two brain states: a quiescent, relaxed state corresponding to the inspiration stage, and a much more active state corresponding to the elaboration stage
  • models of creativity
  • have a common feature: they depend on a balance between analytical and synthetic thinking, and usually describe the creative process as a sequence of phases that alternate between these states
  • Most research on creativity has focused on the individual
  • However, more recent studies suggest that creativity also depends strongly on the social and cultural context
  • breakthroughs depended on collaboration and social support
  • social environment in business organizations affects the creativity of their employees
  • Although creative individuals are essential, the strong link with the environment indicates that creativity might be greatly enhanced by generating a culture that supports the creative process.
  • Many of the interviewees repeatedly emphasized three main qualities necessary to be a good scientist: rigorous intellect, the ability to get the job done and the ability to have creative ideas.
  • almost all interviewees characterized their breakthrough moment as an abrupt leap in understanding
  • Although breakthroughs in science depend on such an ‘internal' conceptual shift, they also rely on ‘external' experimental results. However, most interviewees described their breakthroughs as largely internal:
  • Only two scientists expressed the view that their breakthroughs were purely external events, based on the observation of novel data.
  • intuition
  • must be combined with rational thinking to be effective
  • Although the synthesis of a new concept relies on intuition, which is based on subconscious mental processing, it must be subjected to conscious examination and analysis
  • specific mental skills or attitudes
  • ability to make unexpected connections
  • ability to choose relevant possibilities from an infinite set of irrelevant ones
  • interest in the unknown'
  • enjoyment of the creative process
  • stimulation by interacting with colleagues
  • undoubtedly the most crucial trait for creativity, which thrives on the exchange of ideas
  • The majority felt that the individual and the collective are equally important:
  • what interactions are optimal for creativity
  • The majority of interviewees answered that other people provided them with ‘inspiration to do something new'
  • positive feedback after the emergence of a new idea is almost as important as the inspiration that triggered it
  • collective provides the individual with technical expertise
  • Therefore, scientists would value a culture of interaction and mutual inspiration more highly than access to technology, although the latter is essential for their experiments.
  • At the end of the interviews, each scientist was asked to describe the best possible conditions for generating creativity at a research institute.
  • Cross-fertilization is absolutely essential
  • These results indicate strongly that an interactive environment is the single most important factor for stimulating creativity
  • interacting with people doing very different things
  • interacting with colleagues informally
  • interactions within any institution are strongly affected by its organization
  • Several interviewees described ‘an open hierarchy' as an important factor for creativity
  • hierarchy is based on genuine respect because people are great scientists, but at the same time they're very approachable and open towards what you have to say
  • These results suggest that the best conditions for scientific creativity come with a free-flowing hierarchy and a highly developed culture of interaction to guarantee the exchange of ideas and inspiration.
  • Furthermore, interdisciplinary interactions lead to the generation of new and unusual ideas
  • Finally, because of the freedom to try new things, these ideas can be tested and eventually generate new insights.
  • Creativity can be described as an emergent phenomenon
  • nonlinear phenomena
  • Emergence depends on dynamic interactions between individual agents within the system
  • The importance of a ‘freedom to try new things' and a ‘free-flowing hierarchy' further supports the idea that individual components in an emergent system must be able to interact flexibly without central control
  • During the interviews, it became apparent that although a culture of interaction and creativity exists at EMBL, this itself is not often the subject of discussion. The values on which this culture is based are seemingly implicit rather than explicit
  • Potentially, the EMBL culture of interaction could be strengthened further by consciously expressing and discussing the values on which it is based
Tiberius Brastaviceanu

GitHub Has Big Dreams for Open-Source Software, and More - NYTimes.com - 0 views

  • GitHub has no managers among its 140 employees, for example. “Everyone has management interests,” he said. “People can work on things that are interesting to them. Companies should exist to optimize happiness, not money. Profits follow.” He does, however, retain his own title and decides things like salaries.
  • Another member of GitHub has posted a talk that stresses how companies flourish when people want to work on certain things, not because they are told to.
  • Asana bases work on a series of to-do lists that people assign one another. Inside Asana there are no formal titles, though like GitHub there are bosses at the top who make final decisions.
  • ...8 more annotations...
  • For all the happiness and sharing, real money is involved here. In July GitHub received $100 million from the venture capital firm Andreessen Horowitz. This early in most software companies’ lives, $20 million would be a fortune.
  • GitHub’s popularity has also made it an important way for companies to recruit engineers, because some of the best people in the business are showing their work or dissecting the work of others inside some of the public pull requests.
  • Mr. Preston-Werner thinks the way open source requires a high degree of trust and collaboration among relative equals (plus a few high-level managers who define the scope of a job and make final decisions) can be extended more broadly, even into government.
  • “For now this is about code, but we can make the burden of decision-making into an opportunity,” he said. “It would be useful if you could capture the process of decision-making, and see who suggested the decisions that created a law or a bill.”
  • Can this really be extended across a large, complex organization, however?
  • As complex as an open-source project may be, it is also based on a single, well-defined outcome, and an engineering task that is generally free of concepts like fairness and justice, about which people can debate endlessly.
  • Google once prided itself on few managers and fast action, but has found that getting big can also involve lots more meetings.
  • Still, these fast-rising successes may be on to something more than simply universalizing the means of their own good fortune. An early guru of the Information Age, Peter Drucker, wrote often in the latter part of his career of the need for managers to define tasks, and for workers to seek fulfillment before profits.
1 - 20 of 47 Next › Last »
Showing 20 items per page