211 Matching Annotations
  1. Sep 2023
    1. It is hard to maintain the I-you distinction, and cooperation is massively favored. This is not because the agents have become less selfish, but because the size of the self (to which they are committed) has grown. For properly coupled cells, it is impossible to hide information from each other (from yourself) and it is impossible to do anything injurious to your neighbor because the same effects (consequences) will affect you within seconds.
      • for: cellular collaboration, gap junction, bioelectrical networks, bioelectric network

      • interesting fact: multicellular mechanisms to create coherence in competent constituent subunit cells

      • more research
        • very interesting mechanisms that mediate benefits of collective behavior of competent subunits within the biological body.
  2. Aug 2023
    1. Extreme bad behaviour from governments and private companies – GAFAs [Google, Apple, Facebook, Amazon] and the like in China – will create a social and civic innovation to compensate and/or to contribute to an innovation jump. I hope for development of human cooperative brain networks.
      • for: quote, quote - Janet Salmons, quote - human cooperative brain networks, indyweb - support
      • quote
        • Extreme bad behaviour from governments and private companies – GAFAs [Google, Apple, Facebook, Amazon] and the like in China – will create a social and civic innovation to compensate and/or to contribute to an innovation jump. I hope for development of human cooperative brain networks.
      • author: Caroline Figueres
        • strategic consultant
    1. I should note that blitzscaling is not the only approach we’re seeing right now. The other (and I would argue wiser) approach to managing dense network formation is through invitation-based mechanisms. Heighten the desire, the FOMO, make participating feel special. Actively nurture the network. When done well, this can get people to go deeper in their participation, to form community.

      This seems a false dichotomy. There are more than two ways to do this, more than 'blitzscaling' and 'invitation-based' (which I have come to see as manipulative and a clear sign to stay away as it makes you the means not the goal right from the start of a platform, talking about norm setting). Federation is e.g. very different (and not even uniform in how it's different from both those options: from open to all to starting from a pre-existing small social graph offline). This like above seems to disregard, despite saying building tools is not the same as building community somewhere above, the body of knowledge about stewarding communities / network that exists outside of tech. Vgl [[Invisible hand of networks 20180616115141]]

  3. Jul 2023
    1. One feature took off immediately, for power users and casual readers alike: a simple sharing system that let users subscribe to see someone else’s starred items or share their collection of subscriptions with other people. The Reader team eventually built comments, a Share With Note feature, and more.

      Simple social sharing made the product take off

  4. Jun 2023
    1. Recent work in computer vision has shown that common im-age datasets contain a non-trivial amount of near-duplicateimages. For instance CIFAR-10 has 3.3% overlap betweentrain and test images (Barz & Denzler, 2019). This results inan over-reporting of the generalization performance of ma-chine learning systems.

      CIFAR-10 performance results are overestimates since some of the training data is essentially in the test set.

    1. AtPew Internet such things are measured as follows v :• writing material on a social networking site such as Facebook: 57% of internetusers do that• sharing photos: 37% of internet users do that• contributing rankings and reviews of products or services: 30% of internet usersdo that• creating tags of content: 28% of internet users do that• posting comments on third-party websites or blogs: 26% of internet users dothat• posting comments on other websites: 26% of internet users do that• using Twitter or other status update features: 19% of internet users do that• creating or working on a personal website: 15% of internet users do that• creating or working on a blog: 15% of internet users do that• taking online material and remixing it into a new creation: 15% of internet usersdo that with photos, video, audio or text

      Social Network activities measurement: Writing materials. Sharing Photos Contributing rankings and reviews of products or services Creating tags of content Posting comments on 3rd party websites or blogs Posting comments on other websites Using twitter or other status update features Creating or working on a personal website Creating or working on blog Taking online material and remixing into a new creation

    1. But we also need new generations of user-accountable institutions to realize the potential of new tech tools—which loops back to what I think Holgren was writing toward on Bluesky. I think it’s at the institutional and constitutional levels that healthier and more life-enhancing big-world tools and places for community and sociability will emerge—and are already emerging

      institutionalising as a way for socsoft to become sustainable, other than through for profit structures that have just one aim. Vgl [[2022 Public Spaces Conference]], I have doubts as institutions are slow by design which is what gives them their desirable stability. Vgl [[Invisible hand of networks 20180616115141]] vs markets.

      Also : generations are institutions too. It is needed to repeat these things to new gens, as they take what is currently there as given. Is currently true for things like open data too.

    2. I’ll be speaking with and writing about people working on some of the tools and communities that I think help point ways forward—and with people who’ve built fruitful, immediately useful theories and practices

      Sounds interesting. Add to feeds. Wrt [[Invisible hand of networks 20180616115141]] scaling comes from moving sideways, repetition and replication. And that takes gathering and sharing (through the network) of examples. Vgl [[OurData.eu Open Data Voorbeelden 20090720142847]] but for civic tech, socsoft? What would it look like?

  5. May 2023
    1. It turns out that backpropagation is a special case of a general techniquein numerical analysis called automatic differentiat

      Automatic differentiation is a technique in numerical analysis. That's why Real Analysis is an important Mathematics area that should be studied if one wants to go into AI research.

    1. Chatti notes that Connectivism misses some concepts, which are crucial for learning, such as reflection, learning from failures, error detection and correction, and inquiry. He introduces the Learning as a Network (LaaN) theory which builds upon connectivism, complexity theory, and double-loop learning. LaaN starts from the learner and views learning as the continuous creation of a personal knowledge network (PKN).[18]

      Learning as a Network LaaN and Personal Knowledge Network PKN , do these labels give me anything new?

      Mohamed Amine Chatti: The LaaN Theory. In: Personalization in Technology Enhanced Learning: A Social Software Perspective. Aachen, Germany: Shaker Verlag, 2010, pp. 19-42. http://mohamedaminechatti.blogspot.de/2013/01/the-laan-theory.html I've followed Chatti's blog in the past I think. Prof. Dr. Mohamed Amine Chatti is professor of computer science and head of the Social Computing Group in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen. (did his PhD at RWTH in 2010, which is presumably how I came across him, through Ralf Klamma)

    1. Dave Troy is a US investigative journalist, looking at the US infosphere. Places resistance against disinformation not as a matter of factchecking and technology but one of reshaping social capital and cultural network topologies.

      Early work by Valdis Krebs comes to mind vgl [[Netwerkviz en people nav 20091112072001]] and how the Finnish 'method' seemed to be a mix of [[Crap detection is civic duty 2018010073052]] and social capital aspects. Also re taking an algogen text as is / stand alone artefact vs seeing its provenance and entanglement with real world events, people and things.

    1. Once two people, they can confirm the humanity of everyone else they've met IRL. Two people who know each of these people can confirm each other's humanity because of this trust network.

      ssl parties etc. Threema. mentioned above. Catfish! Scale is an issue in the sense that social distance will remain social distance, so it still leaves you with the question how to deal with something that is from a far away social distance (as is an issue on the web now: how we solve it is lurking / interacting and then when the felt distance is smaller go to IRL)

    2. As we start to doubt all “people” online, the only way to confirm humanity is to meet offline over coffee or a drink.

      this is already common for decades, not because of doubt, but because of being human. My blogging since 2002 has created many new connections to people ('you imaginary friends' the irl friends of a friend call them teasingly), and almost immediately there was a shared need felt to meet up in person. Online allowed me to cast a wider net for connections, but over time that was spun into something IRL. I visited conferences for this, organised conferences for it, traveled to people's homes, many meet-ups, our birthday unconferences are also a shape of this. Vgl [[Menselijk en digitaal netwerk zijn gelijksoortig 20200810142551]] Dopplr serviced this.

  6. Apr 2023
    1. Practical reasoning is a goal-directed sequence of linked practical inferencesthat seeks out a prudent line of conduct for an agent in a set of particular circumstances known by the agent. Where a is an agent, A is an action, and G a goal, thetwo basic types of practical inferences are respectively, the necessary conditionscheme and the sufficient condition scheme (Walton, Pract. Reas., 1 990; see alsoSchellens, 1 987).G is a goal for aDoing A is necessary for a to carry out GTherefore, a ought to do AG is a goal for aDoing A is sufficient for a to carry out GTherefore, a ought to do A
      • Goal Directed sequence
      • Agent Awareness
      • Act may be sufficient or necessary for Goal. *Therefore, Agent carries Act out
      • Required to Understand the Qualification Weight of Act is it necessary or sufficient?
    2. Clearly this type of reasoning has an argumentation scheme. One premisedefines or describes a goal. The other premise describes a means of achieving thegoal. The conclusion directs the agent towards action to carry out the means.6But this type of reasoning is so common and distinctive, having manyvariants and subspecies of argumentation, that it is misleading to call it anargumentation scheme. Better to call it a type of reasoning that can be used inargumentation in different types of dialogue (as in Walton, What Reas., 1990).
      • Agential Network
      • Case and Inferential Qualifications
      • Conclusions and Goal Relations
      • Normative Framework
  7. Mar 2023
  8. Feb 2023
    1. fz is less about the tree (though that is important) and more about the UX.

      I do like the framing of folgezettel as a benefit with respect to user experience.

      There is a lot of mention of the idea of trees within the note taking and zettelkasten space, but we really ought to be looking more closely at other living systems models like rhizomes and things which have a network-like structure.

  9. Jan 2023
    1. the concept of the network is merely a renewal of a certain positivist philosophy of Saint-Simon from the dawn of the industrial era, when the followers of Saint-Simon imagined that a vast network would unite all of humanity, abolishing archaic national and religious boundaries via the proliferation of new industrial interconnections in the forms of canals and railways.

      Saint-Simon, positivist utopian, saw world-changing networks in channels and railways (and he wasn't mistaken). A slow internet.

    2. For decades, the Zapatistas, usually via Subcomandante Marcos, sent out communique after communique to the world, poetically asking for solidarity. Surprisingly, the world responded, forming the alterglobalisation movement that called itself a ‘network of networks’ – a phrase also used at the time to describe the internet.

      Zapatistas and the internet, network of networks.

  10. Dec 2022
    1. the future I believe is communities where humans come together in groups and we start to cooperate. And the community itself takes on a life of its own. So this is the mentality I believe that we will evolve over time.

      !- future vision : locally cooperative hubs of trust - locally dense cooperation networks

  11. Nov 2022
    1. n recent years, the neural network based topic modelshave been proposed for many NLP tasks, such as infor-mation retrieval [11], aspect extraction [12] and sentimentclassification [13]. The basic idea is to construct a neuralnetwork which aims to approximate the topic-word distri-bution in probabilistic topic models. Additional constraints,such as incorporating prior distribution [14], enforcing di-versity among topics [15] or encouraging topic sparsity [16],have been explored for neural topic model learning andproved effective.

      Neural topic models are often trained to mimic the behaviours of probabilistic topic models - I should come back and look at some of the works:

      • R. Das, M. Zaheer, and C. Dyer, “Gaussian LDA for topic models with word embeddings,”
      • P. Xie, J. Zhu, and E. P. Xing, “Diversity-promoting bayesian learning of latent variable models,”
      • M. Peng, Q. Xie, H. Wang, Y. Zhang, X. Zhang, J. Huang, and G. Tian, “Neural sparse topical coding,”
  12. Oct 2022
    1. It may be that the more concrete boundaries that having multiple instances provide can dampen down the cascades caused by the small world network effect. It is an interesting model to coexist between the silos with global scope and the personal domains beloved by the indieweb. In indieweb we have been saying ‘build things that you want for yourself’, but building things that you want for your friends or organisation is a useful step between generations.

      I'd say not just interesting, but also crucial. Where T and FB operate at generic level (despite FB pages as subgroups), the statistical, and IndieWeb on the personal (my site, my self-built tool), M works at group level or just above (bigger instances). That middle ground between singular and the statistical is where complexity resides and where it needs to be addressed and embraced. The network metaphor favors that intermediate level.

    1. The essential truth of every social network is that the product is content moderation, and everyone hates the people who decide how content moderation works.
    2. the problems with Twitter are not engineering problems. They are political problems. Twitter, the company, makes very little interesting technology; the tech stack is not the valuable asset. The asset is the user base: hopelessly addicted politicians, reporters, celebrities, and other people who should know better but keep posting anyway.

      Twitter's primary asset is not their technology, but their addicted user base.

    1. It was only on these social networking sites, where people have a podium, that I noticed quite a change in discourse. All of a sudden, you could read family and friends' thoughts on all types of subjects that are never uttered in person.
  13. Sep 2022
    1. Multidiscpl teams are different from heterogenous ones when it comes to learning. Dense networks useful for incremental steps, but hinder innovative steps (Vgl [[Lurking Weak Strong Ties 20040204063311]]) Provide team design principles.

      Full paper in Zotero

    1. translate those notions into stuff that I can tackle in my own sphere of influence. And to me those then make up the stuff that matters.

      Things that matter are a combination of things of interest plus sphere of influence/action radius. This can bring macro issues into a place where they can be addressed by micro actions that have meaning locally and contribute to the issue at scale. Contributes to the invisible hand of networks. Vgl [[Invisible hand of networks 20180616115141]]

  14. Aug 2022
    1. If you decentralize, the system will recentralize, but one layer up. Something new will be enabled by decentralization. That sounds like evolution through layering, like upward-spiraling complexity. That sounds like progress to me.

      Systems will centralise one step up from where it's decentralised. Interesting. My intuition is a bit 'softer' it's a rule of thumb for coalescence. Things might coalesce out of different needs/circumstances. The type of centralisation intended here, if it's about the silo's there's a external driver, that the easiest business models are found in centralisation as it creates asymmetric power for the centraliser. It's not a necessary outcome of the underlying distributedness, but something that others might need using that distributedness. If centrliasation isn't possible or allowed at some layer, it may well force external drivers for centralisation one layer up. Organisations as well as CoPs are mushrooms on the mycelium of human networks. Now that capital, location and finding colleagues can be done distributedly those mushrooms aren't always needed, and we see other types of mushrooms coalesce alongside classic organisations. Something like that?

    1. Mobile Network Hacking, IP Edition. by Karsten Nohl, Luca Melette & Sina Yazdanmehr. Black Hat. London. December 2-5, 2019. 47 minute video. https://www.blackhat.com/eu-19/briefings/schedule/index.html#mobile-network-hacking-ip-edition-17617

      Mobile networks have gone through a decade of security improvements ranging from better GSM encryption to stronger SIM card and SS7 configurations. These improvements were driven by research at this and other hacking conferences.

      Meanwhile, the networks have also mushroomed in complexity by integrating an ever-growing number of IT technologies from SIP to WiFi, IPSec, and most notably web technologies.

      This talk illustrates the security shortcomings when merging IT protocols into mobile networks. We bring back hacking gadgets long thought to be mitigated, including intercepting IMSI catchers, remote SMS intercept, and universal caller ID spoofing.

      We explore which protection measures are missing from the mobile network and discuss how to best bring them over from the IT security domain into mobile networks.

    1. On the Internet there are many collective projects where users interact only by modifying local parts of their shared virtual environment. Wikipedia is an example of this.[17][18] The massive structure of information available in a wiki,[19] or an open source software project such as the FreeBSD kernel[19] could be compared to a termite nest; one initial user leaves a seed of an idea (a mudball) which attracts other users who then build upon and modify this initial concept, eventually constructing an elaborate structure of connected thoughts.[20][21]

      Just as eusocial creatures like termites create pheromone infused mudballs which evolve into pillars, arches, chambers, etc., a single individual can maintain a collection of notes (a commonplace book, a zettelkasten) which contains memetic seeds of ideas (highly interesting to at least themselves). Working with this collection over time and continuing to add to it, modify it, link to it, and expand it will create a complex living community of thoughts and ideas.

      Over time this complexity involves to create new ideas, new structures, new insights.

      Allowing this pattern to move from a single person and note collection to multiple people and multiple collections will tend to compound this effect and accelerate it, particularly with digital tools and modern high speed communication methods.

      (Naturally the key is to prevent outside selfish interests from co-opting this behavior, eg. corporate social media.)

  15. Jul 2022
  16. Jun 2022
    1. few other large platforms unwittingly dissolved the mortar of trust, belief in institutions, and shared stories that had held a large and diverse secular democracy together.
    1. What's become clear is that our relationships are experiencing a profound reset. Across generations, having faced a stark new reality, a decades-long trend1 reversed as people are now shifting their energy away from maintaining a wide array of casual connections to cultivating a smaller circle of the people who matter most.

      ‘how the demand for deeper human connection has sparked a profound reset in our relationships’.

      The Meta Foresight (formerly Facebook IQ) team conducted a survey of 36,000 adults across 12 markets.

      Among their key findings:

      72% of respondents said that the pandemic caused them to reprioritize their closest friends
      Young people are most open to using more immersive tech to foster connections (including augmented and virtual reality), though all users indicated that tech will play a bigger role in enhancing personal connections moving forward
      37% of people surveyed globally reported reassessing their life priorities as a result of the pandemic
    1. algorithmic radicalization is presumably a simpler problem to solve than the fact that there are people who deliberately seek out vile content. “These are the three stories—echo chambers, foreign influence campaigns, and radicalizing recommendation algorithms—but, when you look at the literature, they’ve all been overstated.”

      algorithmic radicalization

    2. “A lot of the stories out there are just wrong,” he told me. “The political echo chamber has been massively overstated. Maybe it’s three to five per cent of people who are properly in an echo chamber.” Echo chambers, as hotboxes of confirmation bias, are counterproductive for democracy. But research indicates that most of us are actually exposed to a wider range of views on social media than we are in real life, where our social networks—in the original use of the term—are rarely heterogeneous.
  17. May 2022
    1. Indeed, as David Haskell, a biologist and writer, notes, a tree is “a community of cells” from many species: “fungus, bacteria, protist, alga, nematode and plant.” And often “the smallest viable genetic unit [is] … the networked community.”

      Explore this idea....

      What does it look like quantitatively?

    1. the death of Gerri Santoro, a woman who died seeking an illegal abortion in Connecticut, ignited a renewed fervor among those seeking to legalize abortion. Santoro’s death, along with many other reported deaths and injuries also sparked the founding of underground networks such as The Jane Collective to offer abortion services to those seeking to end pregnancies.
  18. Apr 2022
    1. Social networks may thus be “sticky” because social integration provides both benefits that encourage staying and social deterrents to leaving, increasing the chances of persistence.

      Important point - persistence can be because of negative reasons.

    2. persistence is the product of not only individual processes but also relational ones
    3. Students in a gateway biology course were randomly assigned to complete a control or values affirmation exercise, a psychological intervention hypothesized to have positive social effects. By the end of the term, affirmed students had an estimated 29% more friends in the course on average than controls. Affirmation also prompted structural changes in students’ network positions such that affirmed students were more central in the overall course friendship network.
  19. Feb 2022
    1. When I hear people in a variety of contexts talking about “building community” for students or colleagues (or, customers), I worry about that, too.  Is the motivation an additive one?  “Let’s give them more people to connect with and rely on?”  Or is it intended to be a kind of capture?

      What an enormous challenge for those of us in faculty development and other "community-building" businesses. Are we actually serving when we help people acculturate? We might be. We also might be trying to capture peoples' time and attention and loyalty.

  20. Jan 2022
    1. https://vimeo.com/232545219

      from: Eyeo Conference 2017


      Robin Sloan at Eyeo 2017 | Writing with the Machine | Language models built with recurrent neural networks are advancing the state of the art on what feels like a weekly basis; off-the-shelf code is capable of astonishing mimicry and composition. What happens, though, when we take those models off the command line and put them into an interactive writing environment? In this talk Robin presents demos of several tools, including one presented here for the first time. He discusses motivations and process, shares some technical tips, proposes a course for the future — and along the way, write at least one short story together with the audience: all of us, and the machine.


      Robin created a corpus using If Magazine and Galaxy Magazine from the Internet Archive and used it as a writing tool. He talks about using a few other models for generating text.

      Some of the idea here is reminiscent of the way John McPhee used the 1913 Webster Dictionary for finding words (or le mot juste) for his work, as tangentially suggested in Draft #4 in The New Yorker (2013-04-22)

      Cross reference: https://hypothes.is/a/t2a9_pTQEeuNSDf16lq3qw and https://hypothes.is/a/vUG82pTOEeu6Z99lBsrRrg from https://jsomers.net/blog/dictionary

      Croatian acapella singing: klapa https://www.youtube.com/watch?v=sciwtWcfdH4

      Writing using the adjacent possible.

      Corpus building as an art [~37:00]

      Forgetting what one trained their model on and then seeing the unexpected come out of it. This is similar to Luhmann's use of the zettelkasten as a serendipitous writing partner.

      Open questions

      How might we use information theory to do this more easily?

      What does a person or machine's "hand" look like in the long term with these tools?

      Can we use corpus linguistics in reverse for this?

      What sources would you use to train your model?


      • Andrej Karpathy. 2015. "The Unreasonable Effectiveness of Recurrent Neural Networks"
      • Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. "Generating sentences from a continuous space." 2015. arXiv: 1511.06349
      • Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017. "A Hybrid Convolutional Variational Autoencoder for Text generation." arXiv:1702.02390
      • Soroush Mehri, et al. 2017. "SampleRNN: An Unconditional End-to-End Neural Audio Generation Model." arXiv:1612.07837 applies neural networks to sound and sound production
    1. https://www.youtube.com/watch?v=z3Tvjf0buc8

      graph thinking

      • intuitive
      • speed, agility
      • adaptability

      ; graph thinking : focuses on relationships to turn data into information and uses patterns to find meaning

      property graph data model

      • relationships (connectors with verbs which can have properties)
      • nodes (have names and can have properties)


      • Purchase recommendations for products in real time
      • Fraud detection

      Use for dependency analysis

  21. Dec 2021
    1. What is P2P (peer-to-peer) and what can you do with it? https://www.itpedia.nl/wp-content/uploads/2018/12/fingerworld.jpg.webp In a sense, Peer to Peer (P2P) networks are the social networks of the Internet. Every peer is equal to the others, and every peer has the same rights and duties as the others. Peers are clients and servers at the same time.

    1. It is impossible to think without writing; at least it is impossible in any sophisticated or networked (anschlußfähig) fashion.

      The sentiment that it is impossible to think without writing is patently wrong. While it's an excellent tool, it takes an overly textual perspective and completely ignores the value of orality an memory in prehistory.

      Modern culture has lost so many of our valuable cultural resources that we have completely forgotten that they even existed.

      Oral cultures certainly had networked thought, Luhmann and others simply can't imagine how it may have worked. We're also blinded by the imagined size of societies in pre-agricultural contexts. The size and scope of cities and city networks makes the history of writing have an outsized appearance.

      Further, we don't have solid records of these older netowrks, a major drawback of oral cultures which aren't properly maintained, but this doesn't mean that they didn not exist.

  22. Nov 2021
    1. people reading the same book at the same time, exploring the same ideas…Norms around signalling you're interested in something, and the extent of your interest, would go far

      How do we find the connections we don't know we're looking for?

  23. Sep 2021
    1. "Human nature is not a machine to be built after a model, and set to do exactly the work prescribed for it, but a tree which requires to grow and develop itself on all sides, according to the tendency of the inward forces which make it a living thing. Such are the differences among human beings in their sources of pleasure, their susceptibilities of pain, and the operation on them of different physical and moral agencies, that unless there is a corresponding diversity in their modes of life, they neither obtain their fair share of happiness, nor grow up to the mental, moral, and aesthetic stature of which their nature is capable." John Stuart Mill, On Liberty (1859)
  24. Aug 2021
  25. Jul 2021
    1. Supply chains—starting with the factories upstream, running through the ports and rail yards and warehouses, and ending with retail—are large and complex systems. These systems need to be adaptive, and yet the news shows us they are not. 

      We need supply chains to route around problems in the same way that packets on the internet route around bottlenecks and broken connections.

  26. Jun 2021
  27. May 2021
  28. Apr 2021
    1. This looks fascinating. I'm not so much interested in the coding/programming part as I am the actual "working in public" portions as they relate to writing, thinking, blogging in the open and sharing that as part of my own learning and growth as well as for sharing that with a broader personal learning network. I'm curious what lessons might be learned within this frame or how educators and journalists might benefit from it.

    1. Others are asking questions about the politics of weblogs – if it’s a democratic medium, they ask, why are there so many inequalities in traffic and linkage?

      This still exists in the social media space, but has gotten even worse with the rise of algorithmic feeds.

  29. Mar 2021
    1. he Cyborg Manifesto, Donna Haraway talks about the possibility of networks. While the Facebook of 2021 strings us out along a spectrum and pushes us to either end, Haraway’s conception of a network in 1985 is “the profusion of space and identities and the permeability of boundaries in the personal body and the body politic.” I

      An interesting data point in the evolution of networks

    1. Particularly striking in 1971 was his call for advanced technology to support "learning webs": The operation of a peer-matching network would be simple. The user would identify himself by name and address and describe the activity for which he sought a peer. A computer would send him back the names and addresses of all those who had inserted the same description. It is amazing that such a simple utility has never been used on a broad scale for publicly valued activity.
  30. Feb 2021
    1. Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of Apps are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.
  31. Jan 2021
  32. Dec 2020
    1. If you look at the same graph with distance 2, the layer of additionally visible nodes show how my new Notion might be connected to things like online identity, using the environment to store memory and layered access to information. This triggers additional thoughts during the writing process.

      Lovely. This is such a great insight that I can already see is going to help me a lot.

  33. Oct 2020
    1. In at least one instance, a foreign adversary was able to take advantage of a back door invented by U.S. intelligence, according to Juniper Networks Inc, which said in 2015 its equipment had been compromised. In a previously unreported statement to members of Congress in July seen by Reuters, Juniper said an unnamed national government had converted the mechanism first created by the NSA.

      NSA gets Juniper to put a backdoor in one of their products. The product gets compromised by a foreign government in 2015.

    1. Workplace Learning in Informal Networks

      Milligan, C., Littlejohn, A., & Margaryan, A. (2014). Workplace Learning in Informal Networks. Journal of Interactive Media in Education.

      Learning does not stop when an individual leaves formal education, but becomes increasingly informal, and deeply embedded within other activities such as work. This article describes the challenges of informal learning in knowledge intensive industries, highlighting the important role of personal learning networks. The article argues that knowledge workers must be able to self-regulate their learning and outlines a range of behaviours that are essential to effective learning in informal networks. The article identifies tools that can support these behaviours in the workplace and how they might form a personal work and learning environment.



    1. Newport is an academic — he makes his primary living teaching computer science at a university, so he already has a built-in network and a self-contained world with clear moves towards achievement.

      This is one of the key reasons people look to social media--for the connections and the network they don't have via non-digital means. Most of the people I've seen with large blogs or well-traveled websites have simply done a much better job of connecting and interacting with their audience and personal networks. To a great extent this is because they've built up a large email list to send people content directly. Those people then read their material and comment on their blogs.

      This is something the IndieWeb can help people work toward in a better fashion, particularly with better independent functioning feed readers.

    1. That is to say: if the problem has not been the centralized, corporatized control of the individual voice, the individual’s data, but rather a deeper failure of sociality that precedes that control, then merely reclaiming ownership of our voices and our data isn’t enough. If the goal is creating more authentic, more productive forms of online sociality, we need to rethink our platforms, the ways they function, and our relationships to them from the ground up. It’s not just a matter of functionality, or privacy controls, or even of business models. It’s a matter of governance.
    1. Thought leader and tech executive, John Ryan, provided valuable historical context both onstage and in his recent blog. He compared today’s social media platforms to telephone services in 1900. Back then, a Bell Telephone user couldn’t talk to an AT&T customer; businesses had to have multiple phone lines just to converse with their clients. It’s not that different today, Ryan asserts, when Facebook members can’t share their photos with Renren’s 150 million account holders. All of these walled gardens, he said, need a “trusted intermediary” layer to become fully interconnected.

      An apt analogy which I've used multiple times in the past.

    1. Micro.blog is not an alternative silo: instead, it’s what you build when you believe that the web itself is the great social network.

      So true!!!

    1. cyberinfrastructure is something more specific thanthe network itself, but it is something more general than a tool or a resource developed for a particular proj-ect, a range of projects, or, even more broadly, for a particular discipline.

      Mentioned in the video https://youtu.be/lelmXaSibrc?t=17m35s

    1. Mutual aid societies were built on the razed foundations of the old  guilds, and cooperatives and mass political parties then drew on the  experience of the mutual aid societies."

      This reminds me of the beginning of the Civil Rights movement that grew out of the civic glue that arose out of prior work relating to rape cases several years prior.

      I recall Zeynep Tufekci writing a bit about some of these tangential ideas in some of her social network writing. (Where's the link to that?)

  34. Aug 2020
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    1. import all the necessary libraries into our notebook. LibROSA and SciPy are the Python libraries used for processing audio signals. import os import librosa #for audio processing import IPython.display as ipd import matplotlib.pyplot as plt import numpy as np from scipy.io import wavfile #for audio processing import warnings warnings.filterwarnings("ignore") view raw modules.py hosted with ❤ by GitHub View the code on <a href="https://gist.github.com/aravindpai/eb40aeca0266e95c128e49823dacaab9">Gist</a>. Data Exploration and Visualization Data Exploration and Visualization helps us to understand the data as well as pre-processing steps in a better way. 
    2. TensorFlow recently released the Speech Commands Datasets. It includes 65,000 one-second long utterances of 30 short words, by thousands of different people. We’ll build a speech recognition system that understands simple spoken commands. You can download the dataset from here.
    3. In the 1980s, the Hidden Markov Model (HMM) was applied to the speech recognition system. HMM is a statistical model which is used to model the problems that involve sequential information. It has a pretty good track record in many real-world applications including speech recognition.  In 2001, Google introduced the Voice Search application that allowed users to search for queries by speaking to the machine.  This was the first voice-enabled application which was very popular among the people. It made the conversation between the people and machines a lot easier.  By 2011, Apple launched Siri that offered a real-time, faster, and easier way to interact with the Apple devices by just using your voice. As of now, Amazon’s Alexa and Google’s Home are the most popular voice command based virtual assistants that are being widely used by consumers across the globe. 
    4. Learn how to Build your own Speech-to-Text Model (using Python) Aravind Pai, July 15, 2019 Login to Bookmark this article (adsbygoogle = window.adsbygoogle || []).push({}); Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP is a coveted one in the industry; add this to your skillset today We will use a real-world dataset and build this speech-to-text model so get ready to use your Python skills!
    1. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. Use Keras if you need a deep learning library that: Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility). Supports both convolutional networks and recurrent networks, as well as combinations of the two. Runs seamlessly on CPU and GPU. Read the documentation at Keras.io. Keras is compatible with: Python 2.7-3.6.
    1. Networks  of civic engagement increase the potential cost to defectors who risk  benefits from future transactiaction. The same networks foster norms of  reciprocity that are reinforced by the networks of relationships in  which reputation is both balued and discussed. The same social networks  facilitate the flow of reputational information.

      How can we build some of this into social media networks to increase the level of trust and facts?

    1. there’s nothing exceptional about human brains.

      But is there something exceptional about the societies we have built? And the culture (including everything: chairs, tables, houses, streets, etc, etc) that surrounds us? I mean: is consciousness something that we have as individuals? Or is is something collective that we feel individually? Like a node in a vast network that gets a feeling of the local consciousness that the whole network has, and feels as if it is his/her own consciousness...