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Tiberius Brastaviceanu

Value network - Wikipedia - 0 views

  • a business analysis perspective
  • describes
  • resources within and between businesses
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  • nodes in a value network represent people
  • nodes are connected by interactions that represent tangible and intangible deliverables
  • Value networks exhibit interdependence
  • Companies have both internal and external value networks.[1]
  • customers or recipients, intermediaries, stakeholders, complementary, open innovation networks and suppliers
  • key activities
  • processes and relationships that cut across internal boundaries
  • Value is created through exchange and the relationships between roles
  • F&S's value networks consists of these components
  • customers
  • Some service the customers all use, and enables interaction between the customers
  • service
  • contracts that enables access to the service
  • the network formed by phone users
  • example
  • example
  • car insurance company
  • how a company understands itself
  • value creation process
  • value creating system
  • all stakeholders co-produce value
  • systematic social innovation
  • strategy as
  • the Value Network to emerge as a mental model
  • Verna Allee defines value networks [5] as any web of relationships that generates both tangible and intangible value through complex dynamic exchanges between two or more individuals, groups or organizations. Any organization or group of organizations engaged in both tangible and intangible exchanges can be viewed as a value network, whether private industry, government or public sector.
  • Allee developed Value network analysis, a whole systems mapping and analysis approach to understanding tangible and intangible value creation among participants in an enterprise system
  • participants, transactions and tangible and intangible deliverables that together form a value network.
  • knowledge
  • benefits
  • favors
  • know-how
  • policy
  • planning
  • process
  • biological organisms, including humans, function in a self-organizing mode internally and externally
  • no central “boss” to control this dynamic activity
  • The purpose of value networks is to create the most benefit for the people involved in the network (5)
    • Tiberius Brastaviceanu
       
      Verna starts with relationships. I think this is wrong. Perceived value and how to get  to it determines the type of relationships we forge with other people with whom we robe shoulders.  
Tiberius Brastaviceanu

In networks, cooperation trumps collaboration | Harold Jarche - 0 views

  • Collaboration happens around some kind of plan or structure
  • cooperation presumes the freedom of individuals to join and participate
  • Cooperation is a driver of creativity
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  • use networks as our primary form of living and working
  • Tribal; Institutional; Markets; Networks
  • how we have evolved as a civilisation
  • network
  • a form in itself that can address issues that the three other forms could not
  • Chaordic refers to a system of governance that blends characteristics of chaos and order.
  • Wirearchy: a dynamic multi-way flow of power and authority based on information, knowledge, trust and credibility, enabled by interconnected people and technology.
  • Collaboration is only part of working in networks
  • Cooperation is also necessary, but it’s much less controllable than our institutions, hierarchies and HR practices would like to admit.
  • In networks, cooperation trumps collaboration
Tiberius Brastaviceanu

Discovery Network Back Office Catalog - Google Drive - 0 views

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    Back Office Catalog is a concept proposed by Tibi, part of work for Multitude Project on Discovery Networks. Discovery Networks is the precursor the Open Value Network model.
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
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  • 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

PeerPoint « Poor Richard's Almanack 2010 - 1 views

  • Each PeerPoint is an autonomous node on a p2p network with no centralized corporate  infrastructure.
  • The PeerPoint will be connected between the user’s pc, home network, or mobile device and the ISP connection.
  • The PeerPoint is designed to Occupy the Internet.
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  • provide greater user value
  • For numerous reasons the services provided by the commercial companies do not adequately meet the creative, social, political, and financial needs of the 99%
  • allows self-selected individuals to coalesce into powerful workgroups, forums, and movements.
  • With the PeerPoint approach, each user will own her own inexpensive internet appliance and all the data and content she creates
  • If a FreedomBox were used as a starting platform, the PeerPoint application package would be added on top of the FreedomBox security stack.
  • The common requirements for each PeerPoint app are: world class, best-of-breed open source p2p architecture consistent, granular, user-customizable security management and identity protection integrated with other apps in the suite via a common distributed database and/or “data bus” architecture. consistent, user-customizable large, medium, and small-screen (mobile device) user interfaces ability to interface with its corresponding major-market-share service (Facebook, Twitter, etc.) GPS enabled
  • First tier applications: distributed database social networking  (comparison of distributed social network applications) trust/reputation metrics crowdsourcing: content collaboration & management  (wiki, Google Docs, or better) project management/workflow data visualization (data sets, projects, networks, etc.) user-customizable complementary currency and barter exchange (Community Forge or better) crowd funding (http://www.quora.com/Is-there-an-open-source-crowdfunding-platform) voting (LiquidFeedback or better) universal search across all PeerPoint data/content and world wide web content
Tiberius Brastaviceanu

Collaborations: The rise of research networks : Nature : Nature Publishing Group - 0 views

  • Co-authorship has been increasing inexorably3, 4. Recently it has exploded.
  • Collaboration is normally a good thing from a wider public perspective. Knowledge is better transferred and combined by collaboration, and co-authored papers tend to be cited more frequently
  • The first paper with 1,000 authors was published in 2004
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  • a paper with 3,000 authors came in 2008
  • By last year, a total of 120 physics papers had more than 1,000 authors and 44 had more than 3,000
  • independent contributions to joint efforts, usually in the form of data, that involve only weak intellectual interaction
  • Papers with hundreds of co-authors contribute to the apparent pervasiveness of collaboration between countries.
  • Consequently, distinguishing Malta's own science performance is already impossible. This blurring of national distinctiveness could be a growing issue.
  • The rapid growth of each nation's research base and regional links, driven by relatively strong economies investing in innovation, will undoubtedly produce a regional research labour force to be reckoned with by 2020
  • China's rapid growth since 2000 is leading to closer research collaboration with Japan
  • Taiwan
  • South Korea
  • Australia
  • Asia-Pacific region
  • India has a growing research network with Japan, South Korea and Taiwan, although it is not as frequent a collaborator with China as one might expect
  • Middle East, Egypt and Saudi Arabia have a strong research partnership that is drawing in neighbours including Tunisia and Algeria.
  • Latin America has an emerging research network focused around Brazil,
  • has doubled its collaboration with Argentina, Chile and Mexico in the past five years
  • Africa has three distinct networks: in southern Africa, in French-speaking countries in West Africa and in English-speaking nations in East Africa.
  • proximity is just one of several factors in networks
  • use paths of least resistance to partnership, rather than routes that might provide other strategic gains
  • Commonwealth countries
  • have adopted similar research structures
  • Students
  • proximity
  • lower cost of living
  • generous government scholarships
  • Job opportunities
  • countries in science's old guard must drop their patrician tendencies, open up clear communication channels and join in with new alliances as equal participants before they find themselves the supplicants.
  • Collaboration between the public and private sectors has become more apparent because of government interest in exploiting research for economic competitiveness. Some data show that industrial investment in research seems to be dropping — perhaps a reaction to the recession, but the trend seems to be long term, at least in the United Kingdom9
  • Incentives for collaborative innovation investment that draws directly on the science base would be a good start.
  • So what are the costs and benefits of collaboration? It provides access to resources, including funding, facilities and ideas. It will be essential for grand challenges in physics, environment and health to have large, international teams supported by major facilities and rich data, which encourage the rapid spread of knowledge.
  • Research networks are a tool of international diplomacy.
  • As for costs, collaboration takes time and travel and means a shared agenda
  • The risk is that international, national and institutional agendas may become driven by the same bland establishment consensus.
  • The iconoclastic, the maverick and the marginal may find a highly collaborative world a difficult place to flourish
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    "Co-authorship has been increasing inexorably3, 4. Recently it has exploded."
Steve Bosserman

Scale of Social Structures - Tibi's Philosophy - 3 views

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    "In April 2015 I was asked by Christine Koehler to write an article on value. She contacted me because she come across my work on open value networks, about a new organizational model that may be well-adapted to support large scale peer production of material goods. I accepted the challenge as an exercise to formalize the tacit knowledge that I have accumulated since 2008, when I became interested in the relation between the new digital technology and the shift of power structures in our modern society. I advise the reader not to consider this paper as a theoretical essay. This is only my effort to bring to my own consciousness the tacit knowledge that I am using in my efforts to help the development of the open value network model, and of the SENSORICA.co network/community, which is an instantiation of this model. As I get better at surfacing and formalizing these ideas, I also invite the reader to understand the heuristics behind my work. I let the reader place a judgment on the success of my work, which will make these heuristics and models that I am trying to expose here more or less interesting. Start with Scale of social structures and follow the links. "
Tiberius Brastaviceanu

Discovery Network Value Exchange Mechanism - Google Drive - 0 views

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    Old document about value exchange mechanisms created by Tibi for Multitude Project - the Discovery Network model, precursor of the Open Value Network model
Kurt Laitner

Owning Together Is the New Sharing by Nathan Schneider - YES! Magazine - 0 views

  • VC-backed sharing economy companies like Airbnb and Uber have caused trouble for legacy industries, but gone is the illusion that they are doing it with actual sharing
  • Their main contribution to society has been facilitating new kinds of transactions
  • The notion that sharing would do away with the need for owning has been one of the mantras of sharing economy promoters. We could share cars, houses, and labor, trusting in the platforms to provide. But it’s becoming clear that ownership matters as much as ever.
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  • Whoever owns the platforms that help us share decides who accumulates wealth from them, and how
  • Léonard and his collaborators are part of a widespread effort to make new kinds of ownership the new norm. There are cooperatives, networks of freelancers, cryptocurrencies, and countless hacks in between. Plans are being made for a driver-owned Lyft, a cooperative version of eBay, and Amazon Mechanical Turk workers are scheming to build a crowdsourcing platform they can run themselves. Each idea has its prospects and shortcomings, but together they aspire toward an economy, and an Internet, that is more fully ours.
  • Jeremy Rifkin, a futurist to CEOs and governments, contends that the Internet-of-things and 3-D printers are ushering in a “ zero marginal cost society“ in which the “collaborative commons” will be more competitive than extractive corporations
  • once the VC-backed sharing companies clear away regulatory hurdles, local co-ops will be poised to swoop in and spread the wealth
  • People are recognizing that doing business differently will require changing who gets to own what.
  • “We’re moving into a new economic age,” says Marjorie Kelly, who spent two decades at the helm of Business Ethics magazine and now advises social entrepreneurs. “It needs to be sustainable. It needs to be inclusive. And the foundation of what defines an economic age is its form of ownership.”
  • It’s a worker-owned cooperative that produces open-source software to help people practice consensus—though they prefer the term “collaboration”—about decisions that affect their lives.
  • From the start Loomio was part of Enspiral, an “open value network“ of freelancers and social enterprises devoted to mutual support and the common good.
  • a companion tool, CoBudget, to help them allocate resources together
  • The team members recently had to come to terms with the fact that, for the time being, only some of them could be paid for full-time work They called the process “participatory downsizing.”
  • And they can take many forms. Loomio and other tech companies, for instance, are aspiring toward the model of a multi-stakeholder cooperative—one in which not just workers or consumers are voting members, but several such groups at once.
  • Loconomics is a San Francisco-based startup designed, like TaskRabbit, to manage short-term freelance jobs
  • “People who have been without for a long time,” she says, “often operate with a mindset that they can’t share what they have, because they don’t know when that resource will come along again.”
  • As Loconomics prepares to begin operations this winter, it’s running out of the pocket of the founder, Josh Danielson
  • The ambition of a cooperative Facebook or Uber—competitive, widespread, and owned by its community—still seems out of reach for enterprises not willing to sell large parts of themselves to investors. Organizations like 
  • His fellow OuiShare founder Benjamin Tincq is concerned that too much fixation on a particular model will make it hard for well-meaning ventures to be successful. “I like the idea that we don’t need to have a specific legal status,” he says. “It’s more about hacking an existing legal status and making these hacks work.”
  • Fenton’s new undertaking, Sovolve, proposes to “create innovative solutions to accelerate social change,” much as CouchSurfing did, but it’s doing the innovating cautiously. All work is done by worker-owners located around the world. Sovolve uses an internal platform—soon to become a product in its own right—through which contributors decide how much they want to be paid in cash and how much in equity. They can see how much others are earning. Their virtual workplace is gamified, with everyone working to nudge their first product, WonderApp, into virality
  • Loomio’s members use a similar system, which they call Loomio Points. But Sovolve is no cooperative; contributors are not in charge.
  • Open-source software and share-alike licenses have revived the ancient idea of the commons for an Internet age. But the “ commons-based peer production“ that Sensorica seeks to practice doesn’t arise overnight. Just as today’s business culture rests on generations of accumulated law, habit, and training, learning to manage a commons successfully takes time
  • It makes possible decentralized autonomous organizations, or DAOs, which exist entirely on a shared network
  • The most ambitious successor to Bitcoin, Ethereum, has raised more than $15 million in crowdfunding on the promise of creating such a network.
  • all with technology that makes collective ownership a lot easier than a conventional legal structure
  • A project called Eris is developing a collective decision-making tool designed to govern DAOs on Ethereum, though the platform may still be months from release.
  • For now, the burden of reinventing every wheel at once makes it hard for companies like Sensorica and Loomio to compete
  • For instance, Cutting Edge Capital specializes in helping companies raise money through a long-standing mechanism called the direct public investment, or DPO, which allows for small, non-accredited investors.
  • Venture funding may be in competition with Dietz’s cryptoequity vision, but it provides a fearsome head start
  • Co-ops help ensure that the people who contribute to and depend on an enterprise keep control and keep profits, so they’re a possible remedy for worsening economic inequality
  • Sooner or later, transforming a system of gross inequality and concentrated wealth will require more than isolated experiments at the fringes—it will require capturing that wealth and redirecting its flows
  • A less consensual strategy was employed to fund the Catalan Integral Cooperative in Spain; over the course of a few years, one activist borrowed around $600,000 from Spanish banks without paying any of it back.
  • In Jackson, Mississippi, Chokwe Lumumba was elected mayor in 2013 on a platform of fostering worker-owned cooperatives, although much of the momentum was lost when Lumumba died just a few months later.
Kurt Laitner

Basketball and Biology: A Tale of Two Social Networks - IEEE Spectrum - 0 views

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    Evaluating signals to map a network and evaluate successful topography using the ball to create weighted directional paths and outcome tracking
Tiberius Brastaviceanu

POWER-CURVE SOCIETY: The Future of Innovation, Opportunity and Social Equity in the Eme... - 1 views

  • how technological innovation is restructuring productivity and the social and economic impact resulting from these changes
  • concern about the technological displacement of jobs, stagnant middle class income, and wealth disparities in an emerging "winner-take-all" economy
  • personal data ecosystems that could potentially unlock a revolutionary wave of individual economic empowerment
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  • the bell curve described the wealth and income distribution of American society
  • As the technology boom of the 1990s increased productivity, many assumed that the rising water level of the economy was raising all those middle class boats. But a different phenomenon has also occurred. The wealthy have gained substantially over the past two decades while the middle class has remained stagnant in real income, and the poor are simply poorer.
  • America is turning into a power-curve society: one where there are a relative few at the top and a gradually declining curve with a long tail of relatively poorer people.
  • For the first time since the end of World War II, the middle class is apparently doing worse, not better, than previous generations.
  • an alarming trend
  • What is the role of technology in these developments?
  • a sweeping look at the relationship between innovation and productivity
  • New Economy of Personal Information
  • Power-Curve Society
  • the future of jobs
  • the report covers the social, policy and leadership implications of the “Power-Curve Society,”
  • World Wide Web
  • as businesses struggle to come to terms with this revolution, a new set of structural innovations is washing over businesses, organizations and government, forcing near-constant adaptation and change. It is no exaggeration to say that the explosion of innovative technologies and their dense interconnections is inventing a new kind of economy.
  • the new technologies are clearly driving economic growth and higher productivity, the distribution of these benefits is skewed in worrisome ways.
  • the networked economy seems to be producing a “power-curve” distribution, sometimes known as a “winner-take-all” economy
  • Economic and social insecurity is widespread.
  • major component of this new economy, Big Data, and the coming personal data revolution fomenting beneath it that seeks to put individuals, and not companies or governments, at the forefront. Companies in the power-curve economy rely heavily on big databases of personal information to improve their marketing, product design, and corporate strategies. The unanswered question is whether the multiplying reservoirs of personal data will be used to benefit individuals as consumers and citizens, or whether large Internet companies will control and monetize Big Data for their private gain.
  • Why are winner-take-all dynamics so powerful?
  • appear to be eroding the economic security of the middle class
  • A special concern is whether information and communications technologies are actually eliminating more jobs than they are creating—and in what countries and occupations.
  • How is the power-curve economy opening up opportunities or shutting them down?
  • Is it polarizing income and wealth distributions? How is it changing the nature of work and traditional organizations and altering family and personal life?
  • many observers fear a wave of social and political disruption if a society’s basic commitments to fairness, individual opportunity and democratic values cannot be honored
  • what role government should play in balancing these sometimes-conflicting priorities. How might educational policies, research and development, and immigration policies need to be altered?
  • The Innovation Economy
  • Conventional economics says that progress comes from new infusions of capital, whether financial, physical or human. But those are not necessarily the things that drive innovation
  • What drives innovation are new tools and then the use of those new tools in new ways.”
  • at least 50 percent of the acceleration of productivity over these years has been due to ICT
  • economists have developed a number of proxy metrics for innovation, such as research and development expenditures.
  • Atkinson believes that economists both underestimate and overestimate the scale and scope of innovation.
  • Calculating the magnitude of innovation is also difficult because many innovations now require less capital than they did previously.
  • Others scholars
  • see innovation as going in cycles, not steady trajectories.
  • A conventional approach is to see innovation as a linear, exponential phenomenon
  • leads to gross errors
  • Atkinson
  • believes that technological innovation follows the path of an “S-curve,” with a gradual increase accelerating to a rapid, steep increase, before it levels out at a higher level. One implication of this pattern, he said, is that “you maximize the ability to improve technology as it becomes more diffused.” This helps explain why it can take several decades to unlock the full productive potential of an innovation.
  • innovation keeps getting harder. It was pretty easy to invent stuff in your garage back in 1895. But the technical and scientific challenges today are huge.”
  • costs of innovation have plummeted, making it far easier and cheaper for more people to launch their own startup businesses and pursue their unconventional ideas
  • innovation costs are plummeting
  • Atkinson conceded such cost-efficiencies, but wonders if “the real question is that problems are getting more complicated more quickly than the solutions that might enable them.
  • we may need to parse the different stages of innovation: “The cost of innovation generally hasn’t dropped,” he argued. “What has become less expensive is the replication and diffusion of innovation.”
  • what is meant by “innovation,”
  • “invention plus implementation.”
  • A lot of barriers to innovation can be found in the lack of financing, organizational support systems, regulation and public policies.
  • 90 percent of innovation costs involve organizational capital,”
  • there is a serious mismatch between the pace of innovation unleashed by Moore’s Law and our institutional and social capacity to adapt.
  • This raises the question of whether old institutions can adapt—or whether innovation will therefore arise through other channels entirely. “Existing institutions are often run by followers of conventional wisdom,”
  • The best way to identify new sources of innovation, as Arizona State University President Michael Crow has advised, is to “go to the edge and ignore the center.”
  • Paradoxically, one of the most potent barriers to innovation is the accelerating pace of innovation itself.
  • Institutions and social practice cannot keep up with the constant waves of new technologies
  • “We are moving into an era of constant instability,”
  • “and the half-life of a skill today is about five years.”
  • Part of the problem, he continued, is that our economy is based on “push-based models” in which we try to build systems for scalable efficiencies, which in turn demands predictability.
  • The real challenge is how to achieve radical institutional innovations that prepare us to live in periods of constant two- or three-year cycles of change. We have to be able to pick up new ideas all the time.”
  • pace of innovation is a major story in our economy today.
  • The App Economy consists of a core company that creates and maintains a platform (such as Blackberry, Facebook or the iPhone), which in turn spawns an ecosystem of big and small companies that produce apps and/or mobile devices for that platform
  • tied this success back to the open, innovative infrastructure and competition in the U.S. for mobile devices
  • standard
  • The App Economy illustrates the rapid, fluid speed of innovation in a networked environment
  • crowdsourcing model
  • winning submissions are
  • globally distributed in an absolute sense
  • problem-solving is a global, Long Tail phenomenon
  • As a technical matter, then, many of the legacy barriers to innovation are falling.
  • small businesses are becoming more comfortable using such systems to improve their marketing and lower their costs; and, vast new pools of personal data are becoming extremely useful in sharpening business strategies and marketing.
  • Another great boost to innovation in some business sectors is the ability to forge ahead without advance permission or regulation,
  • “In bio-fabs, for example, it’s not the cost of innovation that is high, it’s the cost of regulation,”
  • This notion of “permissionless innovation” is crucial,
  • “In Europe and China, the law holds that unless something is explicitly permitted, it is prohibited. But in the U.S., where common law rather than Continental law prevails, it’s the opposite
Francois Bergeron

MES - McGill Entrepreneurs' Society - 0 views

  •  
    Promote entrepreneurship among students and members of the Montreal Community Support students with their entrepreneurial ventures by means of advising, funds, bank account, networking opportunities and much more Network with local business organizations and make their resources available to club members Give anyone with a project in mind the opportunity to form their team, take a leadership position, and bring their idea to an end
Tiberius Brastaviceanu

INSO-5-2015 - 0 views

  • Scope:  The scope is that of creating a Community, involving social innovators, researchers, citizens, policy makers, which will bring together on the one hand research actions and results and on the other implementation actions, new initiatives, and policy developments.
  • help promote social innovation initiatives
  • increase relevance of policies and actions
  • ...13 more annotations...
  • development of a common understanding
  • evidence and methodologies that contribute to social innovation up-scaling
  • This does not concern only European but also international developments.
  • Such a social innovation community could be seen also as a “network of networks”.
  • Activities should include:
  • rganisation of brokerage events to enhance the networking
  • information and awareness activities t
  • design strategies/activities for ensuring the best possible use of the research results
  • the organisation of events aimed at identifying priorities for collaboration
  • supporting grassroots experiments, replication, incubation and policy uptake of research results
  • setting up of a network of 'Local Facilitators' for a better dissemination and uptake at all levels.
  • EUR 3 million
  • enable convergence towards a common understanding of social innovation as a tool and outcome.
  •  
    "Topic: Social innovation Community INSO-5-2015"
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

How Peer to Peer Communities will change the World - 0 views

  • role of p2p movement
  • historical role
  • horizontalisation of human relationships
  • ...55 more annotations...
  • allowing the free aggregation of individuals around shared values or common value creation
  • a huge sociological shift
  • new life forms, social practices and human institutions
  • emergent communities of practice are developing new social practices that are informed by the p2p paradigm
  • ethical revolution
  • openness
  • participation
  • inclusivity
  • cooperation
  • commons
  • the open content industry in the U.S. to reach one sixth of GDP.
  • political expressions
  • the movement has two wings
  • constructive
  • building new tools and practices
  • resistance to neoliberalism
  • we are at a stage of emergence
  • difficulty of implementing full p2p solutions in the current dominant system
  • At this stage, there is a co-dependency between peer producers creating value, and for-profit firms ‘capturing that value’, but they both need each other.
  • Peer producers need a business ecology to insure the social reproduction of their system and financial sustainability of its participants, and capital needs the positive externalities of social cooperation which flow from p2p collaboration.
  • peer producing communities should create their own ‘mission-oriented’ social businesses, so that the surplus value remains with the value creators, i.e. the commoners themselves, but this is hardly happening now.
  • Instead what we see is a mutual accomodation between netarchical capital on one side, and peer production communities on the other.
  • the horizontal meets the vertical
  • mostly hybrid ‘diagonal’ adaptations
  • For peer producers the question becomes, if we cannot create our own fully autonomous institutions, how can we adapt while maintaining maximum autonomy and sustainability as a commons and as a community.
  • Why p2p have failed to create successful alternatives in some areas?
  • In commons-oriented peer production, where people aggegrate around a common object which requires deep cooperation, they usually have their own infrastructures of cooperation and a ecology combining community, a for-benefit association managing the infrastructure, and for-profit companies operating on the market place; in the sharing economy, where individuals merely share their own expressions, third party platforms are the norm. It is clear that for-profit companies have different priorities, and want to enclose value so that it can be sold on the marketplace. This in fact the class struggle of the p2p era, the struggle between communities and corporations around various issues because of partly differential interests.
  • Even commercially controlled platforms are being used for a massive horizontalisation and self-aggregation of human relationships, and communities, including political and radical groups are effectively using them to mobilize. What’s important is not just to focus on the limitations and intentions of the platform owners, but to use whatever we can to strengthen the autonomy of peer communities.
  • requires a clever adaptation
  • use for our own benefit
  • The fact today is that capital is still capable of marshaling vast financial and material resources, so that it can create,
  • platforms that can easily and quickly offer services, creating network effects
  • without network effects, there is no ‘there’ there, just an empty potential platform.
  • p2p activists should work on both fronts
  • using mainstream platforms for spreading their ideas and culture and reach greater numbers of people, while also developing their own autonomous media ecologies, that can operate independently, and the latter is an engagement for the ‘long haul’, i.e. the slow construction of an alternative lifeworld.
  • The commons and p2p are really just different aspects of the same phenomena; the commons is the object that p2p dynamics are building; and p2p takes place wherever there are commons.
  • So both p2p and the commons, as they create abundant (digital) or sufficient (material) value for the commoners, at the same time create opportunities to create added value for the marketplace. There is no domain that is excluded from p2p, no field that can say, “we wouldn’t be stronger by opening up to participation and community dynamics”. And there is no p2p community that can say, we are in the long term fully sustainable within the present system, without extra resources coming from the market sector.
  • One trend is the distribution of current infrastructures and practices, i.e. introducing crowdsourcing, crowdfunding, social lending, digital currencies, in order to achieve wider participation in current practices. That is a good thing, but not sufficient. All the things that I mention above, move to a distributed infrastructure, but do not change the fundamental logic of what they are doing.
  • we are talking about the distribution of capitalism, not about a deeper change in the logic of our economy.
  • No matter how good you are, no matter how much capital you have to hire the best people, you cannot compete with the innovative potential of open global communities.
  • the p2p dynamics
  • the new networked culture
  • the opposite is also happening, as we outlined above, more and more commons-oriented value communities are creating their own entrepreneurial coalitions. Of course, some type of companies, because of their monopoly positions and legacy systems, may have a very difficult time undergoing that adaptation, in which case new players will appear that can do it more effectively.
  • the corporate form is unable to deal with ecological and sustainability issues, because its very DNA, the legal obligation to enrich the shareholders, makes its strive to lower input costs,  and ignore externalities.
  • we need new corporate structures, a new type of market entity, for which profit is a means, but not an end, dedicated to a ‘benefit‘, a ‘mission’, or the sustenance of a particular community and/or commons.
  • abundance destroys scarcity and therefore markets
  • open design community
  • will inherently design for sustainability
  • for inclusion
  • conceive more distributed forms of manufacturing
  • entrepreneurs attaching themselves to open design projects start working from an entirely different space, even if they still use the classic corporate form. Prevent the sharing of sustainability designs through IP monopolies is also in my view unethical and allowing such patents should be a minimalist option, not a maximalist one.
  • The high road scenario proposes an enlightened government that ‘enables and empowers’ social production and value creation and allows a much smoother transition to p2p models; the low road scenario is one in which no structural reforms take place, the global situation descends into various forms of chaos, and p2p becomes a survival and resilience tactic in extremely difficult social, political and economic circumstances.
  • accelerated end of capitalism
  • Making sure that we get a better alternative is actually the historical task of the p2p movement. In other words, it depends on us!
  • I don’t really think in terms of technological breakthroughs, because the essential one, globally networked collective intelligence enabled by the internetworks, is already behind us; that is the major change, all other technological breakthroughs will be informed by this new social reality of the horizontalisation of our civilisation. The important thing now is to defend and extend our communication and organisation rights, against a concerted attempt to turn back the clock. While the latter is really an impossibility, this does not mean that the attempts by governments and large corporations cannot create great harm and difficulties. We need p2p technology to enable the global solution finding and implementation of the systemic crises we are facing.
Tiberius Brastaviceanu

Ceramic Network - Let your data flow - 2 views

  •  
    With Ceramic's permissionless data streaming network, you can store streams of information and ever-changing files directly on the decentralized web - and share updates with anyone in the world
Tiberius Brastaviceanu

Fondation du maire: le Montréal inc. de demain - 0 views

  •  
    Tactus Scientific Inc is part of this network. We got a $20,000 grant from them, through Tactus. We get invited to different activities, they offer a lot of help, kind of classical economy stuff. 
Tiberius Brastaviceanu

Nightweb - 0 views

  •  
    This is a p2p social network running on bit torrent
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