Skip to main content

Home/ Sensorica Knowledge/ Group items tagged replicator

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
Steve Bosserman

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

www.reuters.com/...ricorder-idUSBRE83C1FK20120413

sensor_technology open_source medical_applications

shared by Steve Bosserman on 13 Apr 12 - No Cached
  • Steve Bosserman on 13 Apr 12
     
    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.
Kurt Laitner

Digital Reality | Edge.org - 0 views

edge.org/...il_gershenfeld-digital-reality

*neilgershenfeld fab labs IoT molecular computing nano star trek replicator

shared by Kurt Laitner on 17 Feb 15 - No Cached
  • 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
      Kurt Laitner on 17 Feb 15
       
      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
      Kurt Laitner on 17 Feb 15
       
      !!!
  • 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
      Kurt Laitner on 17 Feb 15
       
      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
      Kurt Laitner on 17 Feb 15
       
      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
      Kurt Laitner on 17 Feb 15
       
      our challenge in the OVN space
  • Kurt Laitner on 17 Feb 15
     
    what is heavy is local, what is light is global, and increasingly manufacturing is being recreated along this principle
Tiberius Brastaviceanu

peer into the future - Leaves blender - 0 views

www.sensorica.co/...leaves-blender

project greens_for_good

shared by Tiberius Brastaviceanu on 17 Mar 21 - No Cached
  • Tiberius Brastaviceanu on 17 Mar 21
     
    "easily replicable design with stock components and minimal use of custom parts (unless they can be digitally fabricated with a RepRap class 3-D printer or CNC mill -e.g. limit to what is found in most fab labs and avoid high energy processes and a skilled machinist). The designers should seek to minimize cost and complexity while keeping throughput high (continuous if possible)."
Tiberius Brastaviceanu

Open Source Completely 3-D Printable Centrifuge - Appropedia, the sustainability wiki - 0 views

www.appropedia.org/etely_3-D_Printable_Centrifuge

open science open hardware OSH catalog

shared by Tiberius Brastaviceanu on 10 Oct 23 - No Cached
  • Tiberius Brastaviceanu on 10 Oct 23
     
    "Centrifuges are commonly required devices in medical diagnostics facilities as well as scientific laboratories. Although there are commercial and open source centrifuges, the costs of the former and the required electricity to operate the latter limit accessibility in resource-constrained settings. There is a need for low-cost, human-powered, verified, and reliable lab-scale centrifuges. This study provides the designs for a low-cost 100% 3-D printed centrifuge, which can be fabricated on any low-cost RepRap-class (self-replicating rapid prototyper) fused filament fabrication (FFF)- or fused particle fabrication (FPF)-based 3-D printer. In addition, validation procedures are provided using a web camera and free and open source software. This paper provides the complete open source plans, including instructions for the fabrication and operation of a hand-powered centrifuge. This study successfully tested and validated the instrument, which can be operated anywhere in the world with no electricity inputs, obtaining a radial velocity of over 1750 rpm and over 50 N of relative centrifugal force. Using commercial filament, the instrument costs about U.S. $25, which is less than half of all commercially available systems. However, the costs can be dropped further using recycled plastics on open source systems for over 99% savings. The results are discussed in the context of resource-constrained medical and scientific facilities."
Kurt Laitner

The Energy Efficiency of Trust & Vulnerability: A Conversation | Switch and Shift - 0 views

switchandshift.com/t-vulnerability-a-conversation

*trust discussion contextual

shared by Kurt Laitner on 30 Jan 14 - No Cached
  • trusting people because of who they are personally vs. who they are professionally
  • also need to trust systems
  • our ability to understand the context we are in
  • ...34 more annotations...
  • How much we need to trust others depends on the context,
  • how much we trust ourselves,
  • our own resources
  • When we trust, we re-allocate that energy and time to getting things done and making an impact
  • If the alternative is worse, we might opt for no trust
  • Trust is a tool to assess and manage (reduce and/or increase) risk, depending on the situation.
  • Trusting someone implies making oneself more vulnerable
  • When we don’t trust, we exert a lot of energy to keep up our guard, to continually assess and verify.  This uses a lot of energy and time.
  • the more information and/or experience we have, the better we can decide whether or not to trust
  • As we let ourselves be vulnerable, we also leave ourselves more open to new ideas, new ways of thinking which leads to empathy and innovation.
  • Being vulnerable is a way to preserve energy
  • trusting is efficient….and effective
  • the more we can focus on the scope and achievement of our goals
  • It lets us reallocate our resources to what matters and utilize our skills and those around us to increase effectiveness…impact.
  • If we are working together, we need to agree on the meaning of ‘done’.  When are we done, what does that look like?
  • make sure we hear and see the same thing (reduce buffers around our response)
  • Strategic sloppiness is a way to preserve energy
  • Build on the same shared mental models
  • use the same language
  • As the ability to replicate something has become more of a commodity, we are increasingly seeing that complex interactions are the way to create ‘value from difference’ (as opposed to ‘value from sameness’).
  • allow for larger margins of error in our response and our acceptance of others
  • higher perfection slows down the tempo
  • We can’t minimize the need to be effective.
  • Efficient systems are great at dealing with complicated things – things that have many parts and sequences, but they fall flat dealing with complex systems, which is most of world today.
  • “Control is for Beginners”
  • timing
  • intuition
  • judgment
  • experience
  • ability to look at things from many different perspective
  • to discover, uncover, understand and empathize is critical
  • focus on meaning and purpose for work (outcomes) instead of just money and profit (outputs)
  • When we have a common goal of WHY we want to do something, we are better able to trust
  • When we never do the same thing or have the same conversation twice, it becomes much more important to figure out why and what we do than how we do it (process, which is a given)
  • Kurt Laitner on 30 Jan 14
     
    spot on conversation on *trust, I see creating a trustful environment quickly among strangers as a key capability of an OVN, we need to quickly get past the need to protect and verify and move on to making purpose and goals happen
Tiberius Brastaviceanu

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

www.aspeninstitute.org/...tion-opportunity-social-equity

book paper value networks

shared by Tiberius Brastaviceanu on 17 Oct 13 - No Cached
  • 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
  • ...70 more annotations...
  • 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
Tiberius Brastaviceanu

INSO-5-2015 - 0 views

ec.europa.eu/...2476-inso-5-2015.html

horizon 2020 proposal Tibi's selection Guillaume

shared by Tiberius Brastaviceanu on 02 Jun 14 - No Cached
  • 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.
  • Tiberius Brastaviceanu on 02 Jun 14
     
    "Topic: Social innovation Community INSO-5-2015"
Tiberius Brastaviceanu

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

medium.com/...-cryptocurrencies-1eb7aebac6ae

blockchainaccess_project paper Holochain Arthur Brock

shared by Tiberius Brastaviceanu on 01 Jun 16 - No Cached
  • 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.
  • Tiberius Brastaviceanu on 01 Jun 16
     
    Article written by Arthur Brook, founder of Metacurrency project and of Ceptr.
Kurt Laitner

Ethereum whitepaper - 0 views

www.ethereum.org/ethereum.html

paper Ethereum

shared by Kurt Laitner on 11 Feb 14 - No Cached
  • The general concept of a "decentralized autonomous organization" is that of a virtual entity that has a certain set of members or shareholders which, perhaps with a 67% majority, have the right to spend the entity's funds and modify its code. The members would collectively decide on how the organization should allocate its funds. Methods for allocating a DAO's funds could range from bounties, salaries to even more exotic mechanisms such as an internal currency to reward work. This essentially replicates the legal trappings of a traditional company or nonprofit but using only cryptographic blockchain technology for enforcement. So far much of the talk around DAOs has been around the "capitalist" model of a "decentralized autonomous corporation" (DAC) with dividend-receiving shareholders and tradable shared; an alternative, perhaps described as a "decentralized autonomous community", would have all members have an equal share in the decision making and require 67% of existing members to agree to add or remove a member. The requirement that one person can only have one membership would then need to be enforced collectively by the group.
    • Kurt Laitner
      Kurt Laitner on 11 Feb 14
       
      key application for OVNs
  • Note that the design relies on the randomness of addresses and hashes for data integrity; the contract will likely get corrupted in some fashion after about 2^128 uses
  • This implements the "egalitarian" DAO model where members have equal shares. One can easily extend it to a shareholder model by also storing how many shares each owner holds and providing a simple way to transfer shares.
    • Kurt Laitner
      Kurt Laitner on 11 Feb 14
       
      interesting...
  • ...5 more annotations...
  • DAOs and DACs have already been the topic of a large amount of interest among cryptocurrency users as a future form of economic organization, and we are very excited about the potential that DAOs can offer. In the long term, the Ethereum fund itself intends to transition into being a fully self-sustaining DAO.
  • In Bitcoin, there are no mandatory transaction fees.
  • In Ethereum, because of its Turing-completeness, a purely voluntary fee system would be catastrophic. Instead, Ethereum will have a system of mandatory fees, including a transaction fee and six fees for contract computations.
  • The coefficients will be revised as more hard data on the relative computational cost of each operation becomes available. The hardest part will be setting the value of
  • There are currently two main solutions that we are considering: Make x inversely proportional to the square root of the difficulty, so x = floor(10^21 / floor(difficulty ^ 0.5)). This automatically adjusts fees down as the value of ether goes up, and adjusts fees down as computers get more powerful due to Moore's Law. Use proof of stake voting to determine the fees. In theory, stakeholders do not benefit directly from fees going up or down, so their incentives would be to make the decision that would maximize the value of the network.
1 - 10 of 10
Showing 20▼ items per page