1,978 Matching Annotations
  1. Mar 2020
    1. Creator of Executable Philosophy, a new philosophical methodology

      executable philosophy

  2. Feb 2020
    1. ComputingbyGraphTransformationASurveyandAnnotatedBibliographyeditedbyH.EhrigandG.T

      computing by graph transformations

      I am interested going the other way round. How conversation reflected in graphs can produce effective descriptions, i.e. turn into software. But whatever, we need both perpectives.

    1. is a powerful tool on any graphist's toolbelt.

      graphist toolbelt

    1. The developers plan to launch and implement the InterPlanetary File System (IPFS), which is a cutting edge approach to decentralization. While contemplating a secure method of browsing,

      IPFS is coming to Brave, Hurray

    1. Web3 is about all of the compute, storage, data analysis taking place on clients and served to The Cloud. It’s a power shift from the Cloud to Device. From centralization to decentralization. From core to the edge.

      cloud to device central to decentral core to edge

      People-centered architecture where each participant is its own hub at the edges

    2. adding peer-to-peer databases and peer-to-peer file systems? These tools will make the current Web faster, more resilient, and more private

      peer-to-peer more resilient and private

    3. Peer-to-peer computing software like IPFS, OrbitDB, Enigma, etc. Self-sovereign identity (SSI) allowing individuals rather than web services to grant permission to their credentials.

      OrbitDB individuals grant permission

    1. I recently was awarded SEEDS tokens for a few hours I had spent advising the team. (A similar bias exists in the Commons Stack community. Suddenly you find yourself “praised” just for being a decent human being.)

      praised being decent human being

    1. We need customertech.

      Customers as autonomous participants in value flows

    2. There can be many suppliers of those “one ways,” just as there are many suppliers of Web browsers, home wifi, and of handheld devices that can make phone calls and send SMS messages. (This principle is called substitutability, which Phil Windley explains nicely here.)

      one way, substitutability

    1. psychedelic (adj.)occasionally psychodelic, 1956, of drugs, suggested by British-born Canadian psychiatrist Humphry Osmond in a letter to Aldous Huxley and used by Osmond in a scientific paper published the next year; from Greek psykhē "mind" (see psyche) + dēloun "make visible, reveal," from dēlos "visible, clear," from PIE root *dyeu- "to shine." In popular use from 1965 with reference to anything producing effects similar to that of a psychedelic drug or enhancing the effects of such a drug. As a noun from 1956.

      psychedelic

    1. The Theory of Knowledge and the Unity of Man according to Ramon Llull Llull unifies the spheres of reality through action. Llull creates real logic. All is individual, but there are shared realities. The unity of man. Only a humanized man can humanize. Good interculturality. The Law. Customs. Freedom. Inter-religious dialogue. Respect for the conscience of others. The people. Values. The role of Church and State.

      Theory Knowledge Unity Man

    Annotators

    1. The method was an early attempt to use logical means to produce knowledge. Llull hoped to show that Christian doctrines could be obtained artificially from a fixed set of preliminary ideas. For example, the most essential table listed the attributes of God: goodness, greatness, eternity, power, wisdom, will, virtue, truth and glory.

      logical means to produce knowledge

    1. Recontexutalize ideas in your thought.

      recontextualize ideas thought

    2. each permanent note takes roughly the same amount of time to write.

      each permanent note time

    3. just select a linear path out of the network of notes, then rephrase and polish that into a paper.

      linear path network notes

    4. Papers are linear, but writing is nonlinear

      Papers linear writing nonlinear

    5. Put all these ideas in the same simple system of your slip-box, and you will be set free to use your biological brain to think about these ideas.

      all ideas in same system

    6. Writing is the only thing that matters.

      writing matters

    7. a research partner who could "converse" with you, surprise you, lead you down surprising lines of thoughts. It would nudge you to

      research partner converse surprise nudge

    1. Take these fragmented notes and convert them into a coherent argument. If you can't then look to take more notes to fill in what's missing.

      fragment coherent argument

    2. make new associations that you didn't have when you first made the note.

      make new associations

    3. look through the slip box and let it tell you what you're interested in.

      slipbox tell interest

    4. write them for your future self

      write future self

    1. Write an app review which adheres to the review baseline,

      app review

    1. associative searches that enable the program to show you connections between your ideas that you may not have thought of.

      associative search

    1. rebalance our relationship with technology and to inspire agency, privacy, and free expression.

      inspire agency

    1. mostly natural (human) intelligence asinput.

      natural (human) intelligence

    2. . Personal data mar-ketplace

      Personal data marketplace

    3. Crowdsourced news/journalism and fact-checking in the net-work will help to create real feedback loops.

      crowdsourced news

    4. Next generation digital identity

      digital identity

    5. DApps can be built and deployedon the foundation of a true trustless network.

      DApps trustless network

    6. Bad news are that these are not flaws that can be fixed as they areinherent properties of these solutions.

      flaws inherent properties

    7. homomorphic encryption

      homomorphic encryption

    1. The future of energy production, like the future of nutrition, must be underpinned by the ability for groups to spin up new patterns of coordination at will.And spinning up new patterns at will, it turns out, requires unenclosability not just in our communication systems but also our transacting systems.

      spinning up new coordination systems requires unenclosability

    1. he T-shaped team concept has proven its efficiency. It means strong expertise in a single field along with the ability to interact within the adjacent disciplines.

      T-shaped team concept

    2. Ralph Marston, we believe that craftsmanship is not a skill, it’s an attitude.

      craftsmanship attitude

    3. lacking internal project management as well as an understanding of the whole picture

      lack whole picture

    1. database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.

      database no tables

    1. A famous joke on NoSQL did its round on internet -“A DBA walks into a NoSQL bar, but turns and leaves because he couldn’t find a table”.

      DBA NoSQL bar not table

    1. “NoSQL has become critical for all businesses to support modern business applications,” and that, “enterprises like NoSQL’s ability to scale out using low-cost servers and a flexible, schemaless model that can store, process, and access any type of business data.”

      NoSQL Forrester 2019

    1. “Breakthroughs indecentralized computing show promise for new patterns of organizing ourselves—sometimesreplacing the need for certain centralising institutions. But this requires ensuring people’sautonomy over their data and cryptographic keys,” says Holochain Co-Founder, Arthur Brock.

      autonomy over data and cryptographic keys

    1. note-taking power-tool

      workflowy + graph = networked thought

    2. Both types of notes are written in publishable-quality prose, and each note is meant to include enough detail that it could be read and understood on its own.

      Except

      • in @TrailMarks
      • the text is
        • broken up and written into
        • a nested list
          • reflecting the
          • rhythm
          • and clausal structure
          • of the linguistic expression
          • used to articulate a thought.

      Every list item is

      • addressable
      • and is part of
      • a larger unit
      • that is addressable
      • via bi-directional meaningful links
      • across the Web The text can contain
      • bi-directional
        • hyperlinks
        • web annotations
        • and anything on the decentralized web
        • that adopts this way of creating content
    3. an incubation chamber for two types of written documents. Literature notes are paraphrases of ideas and arguments encountered during research, complete with references. Permanent notes are the notetaker’s ‘original’ thoughts.

      slip-box incubation chamber for Literature notes and Permanent notes

    1. I took a quote from Polanyi and expanded it into what is now a much quoted rule of knowledge management: We always know more than we can say, we will always say more than we can write down.

      polanyi say know

    1. Let's build a Global Information Graph.

      It needs to be also a Capability Graph

    2. pursuit of permanence, not expedience.

      permanence not expedience

    1. Annotation export: enable users to reuse their annotations in other contexts

      enable users to reuse/own their annotations

    1. The term "tacit knowing" or "tacit knowledge" is attributed to Michael Polanyi in 1958 in Personal Knowledge. In his later work The Tacit Dimension he made the assertion that "we can know more than we can tell."[1] He states not only that there is knowledge that cannot be adequately articulated by verbal means, but also that all knowledge is rooted in tacit knowledge.

      The quote is from Michael Polanyi

    1. Replicate a database between two nodes:

      replicate IPFS nodes

    1. The conversation is the content Cultivate wisdom and insight through scalable small group communication

      The conversation is the content

    Annotators

    URL

    1. build a family of keys that represent you, which you control. Technically speaking, these keys will sign each other, and no private key will ever leave a device.

      family of keys to identify you

    1. Although program inputs can make major, possibly dis- astrous changes in the state when it produces newstate, system-check can use any criteria to either allow it to become the actual new state or to keep the old. A more sophisticated system-check might correct only prohibited changes in the state. Functions of this sort are possible because they can always access the old state for compar- ison with the new state-to-be and control what state transition will finally be allowed.

      check next state before committing

      time travel should be possible at a much larger granuality, discarding computational steps fo no lasting significance

    1. Double Helix of Co-evolving Individual and Collective Intelligences

      Double Helix of Co-evolving Individual and Collective Intelligences

    2. [reminder]This is a reminder to myself, a sort of message in a bottle thrown into the swelling oceans of collective memory, to be picked up another time, and blog those rewards.[/reminder]

      reminder message in a bottle ocean of collective memory

    3. magic emergence of collective meaning in the Networks.

      magic emergence in the networks

    4. letting them bubble up in our collective consciousness

      bubble up in our collective consciousness

    5. It feels like roaming in an ecosystem of ideas, insights and inspirations, originated in the meatspace but now living their own life, cross-pollinating, aggregating, propating the most vibrant memes and memeplexes

      roaming in eco system of ides, insights, inspirations, memeplexes

    6. the web–our interconnected intellects–

      web = our interconnected intellects

    7. Collective intellect augments individual

      Collective intellect augments individual

    1. Connect your dots with Tangle, your personal knowledge graph.

      personal knolwedge graph

    1. more-rapid comprehension, better comprehension, the possibility of gaining a useful degree of comprehension in a situation that previously was too complex, speedier solutions, better solutions, and the possibility of finding solutions to problems that before seemed insoluble.

      more rapid comprehension

    1. The Google+ strategy of fine-grained sharing of personal content using Circles has not been very effective. It takes a lot of effort to create and maintain circles, and Facebook has proven that most users seem to be comfortable sharing personal content such as family albums and baby pictures with their complete social graph.

      When circles are created for collaboration and conversation it is worth the effort

    1. content itself

      when content itself is immutably linked to it's creator, and maintain back links to context where it is used spontaneous order of contexts emerge

    2. content-oriented network architecture

      needed to build context-oriented autonomous decentralized (inter)personal/community networks of networks where each participant can act as a hub.

    1. Ultimately the issues at stake are political and ideological. Nature has precious little to say about how intellectual property is justified. Though phrased in legal terms, what the law decides is a political judgment. That we want to keep present and future authors happy and productive is clear. But why rights holders’ claims to intellectual property should expand indefinitely, while those of other owners are ever more restricted by social concerns, is not. And that a vast exist-ing cultural patrimony, already paid for and amortized, sits locked behind legal walls, hostage to outmoded notions of property, when at the flick of a switch it could belong to all humanity—that is little short of grotesque
    2. Ironi-cally, that industry that today most loudly laments digital pilfering on its turf was built a century ago on the legal evisceration of sheet music. But if sheet music was not sacrosanct property in 1909, why should digital recordings be so today? What the law gives, it can take a w a y

      pilfering music

    1. We can tap into an existing ecosystem of human-readable names.

      human readable names

    1. Habitable software means nice interfaces and all that, but it also means a reasonable size for the soft-ware and good performance.

      Habitable should mean easy to change as understanding of the original intent grows together with the world that it effects.. Actually you need to stay at the level of the story board because if you cannot comprehend it at a glance you cannot change things with any confidence, and slowly the thing that just works cease to be usable, as things do change all around.

    2. For these we need craftsmen, not storyboard designers.

      We are running out of craftsmen and even story board designers, bereft of tools that work at the level we need. The zillions of lines code we churn out is a huge liability and sheer technical debt. You dare not change that light bulb.

    1. support an entirely different architecture of bridging, where the Matrix client-server API is mapped directly to the remote service, meaning that ACL decisions are delegated to the remote service, and conversations are not exposed into the wider Matrix. This is effectively using the bridge purely as a 3rd party client for the network (similar to Bitlbee). The bridge is only available to a single user, and conversations cannot be shared with other Matrix users as they aren’t actually Matrix rooms. (Another solution could be to use Active Policy Servers at last as a way of centralising and delegating ACLs for a room)

      different architecture of bridging

    1. When using Riot on riot.im, you can enable Gitter integration per-room. Click the “Manage Integrations” (four squares) button at the top of the page.

      riot gitter bridges

    1. If this makes sense to you, you may well be working along these lines already

      The paucity of likes and comments suggests it is difficult indeed to forge relationships in this space.

    1. A key learning/insight is that our system of state-enforced, monopoly issue, debt-based currency conditions almost everything about our thinking. That the artificial scarcity of money which comes hand-in-hand with this system is hindering development in the very sectors of society and the economy which represent hope for humanity - around collaboration, knowledge production, co-operation, sharing and caring.

      exploting finite resources and preventing the use of the only resource that is not limited: knowledge

    1. An operating system can provide the same benefits to personal clouds. Because it allows you to act as a peer, a CloudOS orchestrates and coordinates online interactions, enables cooperating networks of products and services, supports intention-driven automation, and transforms the way you interact with the world.

      orchestrates and coordinates on line interactions intention-driven automation

    1. Web 2.0 gave us is decidedly unsubstitutable.

      Web 2.0 unsubstitutable

    2. Substitutablity is a key feature of decentralized systems.

      key feature of decentralized systems

    3. the service act as a personal cloud and that the app be built using the Personal Cloud Application Architecture.

      Personal Cloud Architecture

    1. Add to this mix the idea of building Open Source self-administered Interoperability Hubs. Weave these alternatives into emergent Capability Networks. Connecting via high resolution back links people and ideas to empower and enrich each participant rewarding their contribution

      tweet

    1. Jaron says Ted was right from the beginning, in the early 1960s, about micropayment and connection to original sources (transclusion) -- that's still how computer networks should work.
    1. a collection of “the best practices of effective peer learning. It is a theory of peer-to-peer learning and teaching that addresses the challenge of peer-producing a useful and supportive context for self-directed // <![CDATA[ OA_show(9); // ]]> AdvertisementWhy this Ad?  learning.

      peeragogy paragogy peer-to-peer larning

  3. www.research.ed.ac.uk www.research.ed.ac.uk
    1. ormula like “If W applies, do X to get Y.” In our view, other pattern languages often achieve this sort of commonsense rationality, and then stop.

      pattern language rationaility

    2. simply to add a “What’s next” annotation to each pattern,

      what's next added

    3. peeragogy is active learning together with others.

      definition - peeragogy

    1. small teams on small projects made it possible to follow a lean and mean methodology and have any luck at success.

      indeed

    1. Additionally, such a tool can help identify the “missing links,” which is something of a holy grail for researchers, but has only recently been enabled by exciting new technologies like Grakn.

      This use case is one that is needed to facilitate purposeful "deep rearrangablity"

    1. human-in-the-loop data enrichment

      human enrichment

    1. PKMSs are “aiming for novel sustainable interventions to confront opportunity divides by affording individuals the means for life-long-learning, resourcefulness, creative authorship and teamwork and by supporting their generative role as contributor to and beneficiary of organizational and societal performances” [40] (p. 13) They, hence, yield strong synergies with their traditional top-down-KMS-correspondents allowing for collaboratively interlinking knowledge bases and for collectively tracing, harvesting, and utilizing accumulated knowledge subsets more productively for organizational as well as personal benefit.

      better balance and co-operation between personal and institutional knowledge management,

    2. Traditional centralized top-down approaches, nevertheless, still neglect synergies to collectively benefit from (personal and organizational) prior accumulated knowledge subsets, absorptive capacities, ambidextrous and dynamic capabilities at the expense of disinterested employees and failed KMS approaches.

      seeking synergy between personal and organizational

    3. The different content sections may be cumulatively synthesized to tell the story as knowledge or learning assets [A13] and, after further re-evaluations [A14), are to be shared, presented, or published via different media [K15] (Extelligence Container Ecosystem).

      story Extelligence Container Ecosystem

    4. Captured content is stored in the topics/schema or memeplexes file [K9] and may be linked on an on-going basis to the established/emerging schemas [A7] which allow analysts to structure the content for later synthesis and communication (Collaborative Technology Ecosystem).

      capatured content stored memplexes emerging schemas

      for later synthesis and communication

    5. The sensemaking loop

      sense making loop

    6. schematizing to be covered (e.g., classifying, contextualizing, interpreting, annotating, summarizing, or formatting)

      schmatizing

    7. The case file [K3] is accessed for further screening, reading, sorting, and extraction [A4]. Experiences gained allow for re-assessing and revising related sources and content [T5], for adjusting evidence [K6], or to support additional evidence requirements [T8] in order to continually improve the value of information subsets passed on from the shoebox [K3] to the evidence or memes file [K6] (Knowledge Worker Ecosystem).

      case file

    8. The case file [K3] is accessed for further screening, reading, sorting, and extraction [A4]. Experiences gained allow for re-assessing and revising related sources and content [T5], for adjusting evidence [K6], or to support additional evidence requirements [T8] in order to continually improve the value of information subsets passed on from the shoebox [K3] to the evidence or memes file [K6] (Knowledge Worker Ecosystem).

      case file

    9. External data sources [Knowledge K0] are identified, verified, contacted, and evaluated [Action A0] according to (initial or subsequently adapted) information needs [Task T2] and interrogated during field and desk research. The data collected is filtered for relevance [A1] and temporarily stored in a physical ‘shoebox’ or digital case file [K3].

      external data sources identified, verified, interrogated, stored

    10. the foraging loop (or reality part of the reality/policy loop) presents a shared basis with the SICEE model:

      foraging loop

    11. Utilizing the Memes’ Higher Granularity for Re-Inventing the Knowledge-Creating Model

      memes higher granularity

    12. compels us to provide linear accounts (digital documents following the outdated book-age paradigm) of nonlinear realities

      linear account

      format standardized

    13. cognitive) replicating information-structures that evolve over time—analogous to genes—through a Darwinian process of variation, selection, and transmission with their longevity being determined by their environment. As a metaphor of ‘living organisms’ (as promoted by Memetics), they afford a useful conceptual scheme for knowledge and ideas whose survival depends on enduring in their medium of occupation and on the endurance of the medium itself.

      meme replicating information structures evolve over tume

    14. Shifting Paradigm from Document-Centricity to a Tangible Memetic Popperian Third World

      sifting paradigm from document-centric tangible memetic

    15. tangible interrogatable generative heritage repository based on non-redundant and associatively indexed content.

      tangible interrogable generative heritage repository non-redundant associatively indexed content

    16. undiscoverable private non-linear relational knowledge, this cause prevents benefitting from knowable and sharable nonlinear content and contexts.

      undiscoverable private knowable and shareable nonlinear content and contexts

    17. sharing of “magnitudes of invisible work” (defined as the “gap between formal representations, including publications, and unreported ‘back stage’ work” [38] (pp. 606–607) termed by Bush [22] as the “scaffolding” of research output. As undiscoverable private content knowledge, others are forced to re-spend the energy and to start over.

      invisible work scaffoldings

      re-spend start over

    18. term ‘extelligence’ to position it as the externally stored counterpart to the intelligence of the human brain/mind tasked with understanding; together they are driving each other in a complicit process of accelerating interactive co-evolution.

      extelligence defined

    19. This unsustainable situation is aggravated by the lack of personal tools and mentoring which also inhibits the mobility, portability, and shareability of individuals’ expertise, capacities, and capitals.

      lack of personal tools

    20. As a non-physical imaginary virtual construct, it is neither accessible nor interrogatable by others.

      neither accessible or interrogable by others

    21. re-evoke a previously experienced mental state

      re-evoke a previously experienced mental state

    22. personal world:3a ‘pigeon hole’ containing an up-to-date aggregated variety of his/her abstract, non-linear, partially connected, meme explications.

      meme explications

    23. instead of digitally embedding and reusing parts of digital documents via structural references”

      digitally embedding reusing parts via structural references

    24. combat the current distracting entropic outcomes of non-curated and unsustainable knowledge diffusion.

      unsustainable knowledge diffusion

    25. socializing, externalizing, combining, and internalizing workflow cycle) also adopts the social (tacit knowledge) and physical (explicit knowledge) differentiation but subdivides the knowledge types/stocks further into respective individual and collective segments

      SECI tacit explicit

    26. the few isolated warnings and remedies proposed (e.g., Bush’s ‘Memex’ [22], Nelson’s ‘Xanadu’ [23], or Simon’s attention management [2]) have been graciously ignored so far.

      memex ignored

    27. need to shift the current document-centric paradigm to a memetic storage approach

      document centric paradigm memetic storage

    28. aiming for its flexible re-representation and re-purposing to also contribute to other sensemaking or authoring activities. Accordingly, generic tool repositories (also termed ‘boundary objects’) containing, for example, standards, templates, methods, flow charts, heuristics, benchmarking criteria, or directories may be set up to facilitate experience management for better assisting the structured activities

      boundary objects

      experience management

      sounds much like what we wrote in

      https://hypothes.is/a/nMfmOj9yEeqGgzs0esSXVA

      "

    1. learning machines and waving knowledge graphs

      Perhaps it is time to find ways to bring native human intelligence, much neglected even disempowered, into the mix. That may be the only intelligent choice, where intelligence is defined as maximising future choices. It seems we need to find a way to find the ballance between the need for control by enterprises and the autonomy needed to unleash human creativity required for problem solving.

    2. emerging like new species from the Big Data primordial soup.

      Does look like a Cambrian explosion indeed, millions or years away from intelligent life forms

  4. Jan 2020
    1. To understand and be understood, those are among life’s greatest gifts, and every interaction is an opportunity to exchange them.

      to understand and be understood

    1. have studied physics, philosophy, artificial intelligence, economics, and political science — all fields full of such insights. Unfortunately, this also tempted me to leave subjects after mastering their major insights.

      mastering insights and leave

      "that's what gets results"

    2. “viewquakes”, insights which dramatically change my world view.

      viewquakes

    1. Open collaborative innovation refers to development projects in which multiple users collaborate and openly share what they develop.  Open collaborative innovation projects can be at a larger scale than any single user can undertake alone.

      open collaborative innovation

    1. Social summarization focuses on human evaluative acts toward information, and provides an alternative to the content-based methods employed in the conventional information summarization technologies.

      Social summarization

    1. @on@on(") fn = (state, e) => {return { ...state, e }}inserts update function in component using the @on decorator

      @on decorator

    2. Event Handlers Using Decorators

      decorators

    1. need non-reductive and integrative ways of measuring impact and value exchange between individuals and systems

      non-reductive integrative

    2. By measuring and making visible more of reality – we can then enter into a deeper dialogue with reality and thus cultivate greater forms of intimacy with it

      intimacy with reality

    3. Bridgit.io

      Software

    1. a theoretical characterization of the notion of semantic interoperability, as a relation between worldviews, or more technically, a relation between Conceptualizations.

      semantic interoperability

    2. can only be interoperable if they are grounded on artifacts that are themselves interoperable.

      interoperability grounded

    3. Findability, Accessibility, Interoperability and Reusability

      FAIR principle

    1. Semantic Layer for Cloud Data Lakes and Hadoop Derive value from your data lake without manual data tools or custom coding.

      Semantic Layer for Cloud Data Lakes and Hadoop

    1. He laughed frequently. As I understand, the name “Lila” is from a Sanskrit word that could be translated as playfulness.

      playfulness

      homo ludens

    1. Sketchpad inspired Douglas Engelbart to design and develop oN-Line System at the Augmentation Research Center (ARC) at the Stanford Research Institute (SRI) during the 1960s.

      inspired Douglas engelbart

    2. Ivan Sutherland demonstrated with it that computer graphics could be used for both artistic and technical purposes in addition to showing a novel method of human-computer interaction

      Sketchpad stub

    1. makesenseofthewebasanextensionofourminds

      experience the web as an extension of our minds

    1. In some cases coming to it with prior coding experience can be a disadvantage as you will be thinking in one way and solid requires you to invert control.

      invert control

    2. @mikeadams1 instead of code. Try and think about the data that underlies that code. What kind of structures do you want to build? How will they be named? What would they link to? Then how would that look on a page. Solid is much more than any system about having a nice clean data structure where you have one subject for each conceptual item, and then arrange them neatly into documents and folders which link together. The code is the final step which more or less just pulls in that data and arranges it in a user interface. Most of doing that is copy and paste. And some scaffolding to get started, which ough to just be a command line. That is often the easiest part. Once you visualize your use case and your app, then consider the individual data parts of your app and how they link together you're on your way. Start small and build up.

      instead of code

    1. If you want to build a ship, don't drum up people together to collect wood and don't assign them tasks and work, but rather teach them to long for the endless immensity of the sea. —Antoine de Saint-Exupéry “

      teach long endless sea

    2. Sceenius = Seeing + Scenius; noun - the intelligence and the intuition of a whole cultural scene. Brian Eno suggested the word to convey the extreme creativity that groups, places or “scenes” can occasionally generate.

      sceenius

    1. A softer approach to change management. Changing the way we work.

      softer change management

    1. Co-Founder at Collective Intelligence Collaboratory

      co-founder

    1. We operate based on consent rather than consensus, a core principle of sociocracy.

      sociocracy

    2. generate self-direction and strong, coherent leadership by helping each other learn.

      self-direction, strong and coherent leadership

    3. We help everyone get more agency over data about them, limiting others assembling detailed databases of our every digital action.

      agency over data about them

    4. Our values reflect and support the central concepts at the heart of Tech We Trust — trust, equity, privacy, and decentralization

      baking these values into tech

    5. learning and teaching in fluid peer-to-peer communities

      sense making first in fluid peer-to-peer communities

    6. engaging with active development of platform cooperativism

      platform cooperativism

    7. Tech We Trust technologies that prioritize our autonomy, privacy and dignity. Our tech, not their tech.​

      autonomy, privacy and dignity

      the right watchwords in the right order, wow.

    1. hank you for the link to @GETDWeb I dig dig life very much. Your byline: Tech We Trust technologies that prioritize our autonomy, privacy and dignity. Our tech, not their tech. articulates best what I always had in mind. In that order. It is our timebinding duty to succeed

      Tech We Trust

    1. #Knowledge Mgtskreutzer12:17 AMThere's great stuff to learn from history, it's not that we suddenly discovered that we would benefit from knowledge being managed (better), but studying all the other and earlier attempts is slow and tedious and is only some 10-50% of what might help us today. For the chart, I think we're far from even stage 1.0 (edited)joachim12:21 AMYes. there is! I think we're somewhere between stage 1 (classic KM with CM/DM/WCM etc) and activity streams.Todaygyuri7:39 PMFlows are coming yes, manly still captured in silos with minimal levels of interoperability and lack of sovereignity over one's contribution. Knowledge in Context is not yet the default, either. But we are all here to change that with push for autonomy, privacy and dignity.(edited)

      knowledge flows knowledge in context

    1. Cooperation-as-a-Service (CaaS)

      How about Cooperating as an autonomous Service

      to emphasize users' autonomy, sovereignty and ownership of their contribution by architecture

  5. www.collectiveintelligencecollaboratory.com www.collectiveintelligencecollaboratory.com
    1. our biggest challenge right now is to put information into meaningful context, to understand what is really important.

      put information into meaningful context

      help us to understand and to be understood

    1. MindGraph,whichrendersdocumentsvirtual,andenablesscholarlyworktobe‘bornsemantic’

      scholarly work 'born semantic'

    1. Thus, given a seed, each edge in that seed has one “connected” endpoint, and one“unconnected” endpoint. The “connected” endpoint is that endpoint that isv. Theother endpoint will commonly be called theCONNECTOR; equivalently, the edge canbe taken to be the connector. Perhaps it should be called a half-edge, as one end-pointis specified, but missing.

      connector half edge

    2. given a graphG, one can equivalently describe it as a set ofseeds (one simply lists all of the vertexes, and all of the edges attached to each vertex

      describe a graph as a set of seeds

    3. ASEEDis a vertex and the set of edges that connect to i

      seed is

    4. generalized seeds, having typed connectors, rather thanconnectors derived from edges.

      generalized seed

      typed connectors

      connectors derived from edges

    5. projection of a stalk is a seed.

      projection of a stalk is a seed

    6. Sheaves: A Topological Approach to Big Data

      Sheaves paper

    7. Less than one in a thousand of all possibleedges are actually observed

      1 in 1000 possible edges observed

    8. A section is a lot like a subgraph, except that it explicitly indicateswhich edges were cut to form the subgraph.

      subgraph indicating which edges were cut

    9. a systemthat is naturally “scalable”, and allows notions of similarity and scale invarianceto be explored.

      scalable similarity and scale invariance

    10. A connected section behaves very much like a seed: just as two seeds can belinked together to form a connected section, so also two connected sections canbe linked together to form a larger connected section

      connected sections behave like seeds

      auto-abstraction

    11. Given a single seed, one “instantly” knowsallof theedges attached to its germ: they are listed right there

      seed instantly know the edges

    12. be sloppy in this way is one of the appeals, one of the benefits of working with seedsand sections.

      ability to be sloppy advantage

    13. Once connectortypes are introduced, the possibility that there are multiple, non-unique assemblages ofseeds becomes possible

      types non-unique assemblages

    14. Seed connectors might be types, not vertexes

      Seed connectors as types

    15. Connectors can be thought of as akind-of half-edge: incomplete, missing the far end, while links are fully connected,whole.

      connectors

    16. Motives can’t be understood until a settingis established. If one can break down a large number of books/movies into pairs ofrelated facts/scenes/remarks/actions, one can then extract a grammar of relationships,to see exactly what is involved in the movement of a narrative from here to there

      pairs of related facts movement of a narrative

    1. Emelt szintő lehetséges folytatás: kévék, homologikus algebra, kéve kohomológia, Spec(A), Zariski-topológia, absztrakt varietások.

      kéve

      Sheaf

    1. But natural language looks a whole lot more like a sheaf (because things like pre-group grammars and categorial grammars "naturally" look like sheaves.) Thus, it seems promising to take the theory and all the basic concepts of deep learning and neural nets, rip out the explicit tensor-algebra in those theories, and replace them by sheaves. A crude sketch is here.

      Sheaves

    2. Data is represented in the form of graphs; more precisely, as typed, directed hypergraphs. The vertices and edges of a graph, known as "Atoms", are used to represent not only "data", but also "procedures"; thus, many graphs are executable programs as well as data structures. Associated with each Atom (each vertex or edge of the graph) is a key-value database

      Atomspace

    1. focus on the evolution of all triads (ties between three nodes) in a graph, as a method of studying changeover time in large scale, online social networks. For three month snapshots, we examine, and predict, transitions among all sixteen triad types (i.e., triad census) in a sample of three years of Facebook wall-post interactions. We introduce a new sampling approach for examining triads in online graphs, based on ego-centric networks of random seeds.

      triads ties between three nodes

    1. question the necessity of uniform content for all readers with physiological proof. TrustWiki presents a new knowledge representation model to provide readers with personalized and credible knowledge. SmartWiki differentiates two types of readers, "value adherents" who prefer compatible viewpoints and "truth diggers" who crave for the truth. It provides two different knowledge representation models to cater for both types of readers. The experiment shows, with reliable social context information, TrustWiki can efficiently assign readers to their compatible editor community and present credible knowledge derived from that community. Its extended version, SmartWiki, could be more versatile to provide compatible knowledge as well as reveal the truth

      value adherents

      truth diggers

    2. question the necessity of uniform content for all readers with physiological proof. TrustWiki presents a new knowledge representation model to provide readers with personalized and credible knowledge. SmartWiki differentiates two types of readers, "value adherents" who prefer compatible viewpoints and "truth diggers" who crave for the truth. It provides two different knowledge representation models to cater for both types of readers. The experiment shows, with reliable social context information, TrustWiki can efficiently assign readers to their compatible editor community and present credible knowledge derived from that community. Its extended version, SmartWiki, could be more versatile to provide compatible knowledge as well as reveal the truth

      value adherents

      truth diggers

    1. a new definition of why startups exist: a startup is an organization formed to search for a repeatable and scalable business model.

      startup definition

    1. we need a new form of social technology

      indeed

    2. what do we absolutely need to know, and how do we connect with the people, ideas, projects, software, and tools that we resonate with on a deep soul level?

      Indeed we do need to co-create and co-evolve interoperable decentralized (inter) personal tools that connect people, ideas, projects and tools

    1. place-oriented programming

      gave rise to relational databases. As disk space was expensive, we could only record a single version of truth and had to be made consistent on write, so that we can over write the data stored in cells.

    1. This paper is concerned with the meanings of the network structures in a semantic network.
    1. Meaning-First semantic data models the subject-predicate-object construct is called a triple, the foundational structure upon which semantic technology is built.

      meaning-first