18 Matching Annotations
  1. Sep 2022
    1. The ARPA community was about, "Hey, we're in deep trouble and we're getting in deeper trouble. We need to get more enlightened and we need to do what Doug Engelbart called... we need to not just augment human beings, augment human intellect, but we have to augment the collective IQ of groups." Because most important things are done by groups of people. And so we have to think about what it means to have a group that's smarter than any member rather than a group that is less than the stupidest members.

      !- salient : collaboration - the key point of the internet, or what was then called the "intergalactic network" was collaboration at scale to solve global challenges - The Most Important things are done by groups of people

  2. Aug 2022
    1. https://web.archive.org/web/20220810205211/https://escapingflatland.substack.com/p/gpt-3

      Blogged a few first associations at https://www.zylstra.org/blog/2022/08/communicating-with-gpt-3/ . Prompt design for narrative research may be a useful experience here. 'Interviewing' GPT-3 a Luhmann-style conversation with a system? Can we ditch our notes for GPT-3? GPT-3 as interface to the internet. Fascinatiing essay, need to explore.

  3. Jul 2022
  4. May 2022
    1. a society-wide hyperconversation. This hyperconversation operationalizes continuous discourse, including its differentiation and emergent framing aspects. It aims to assist people in developing their own ways of framing and conceiving the problem that makes sense given their social, cultural, and environmental contexts. As depicted in table 1, the hyperconversation also reflects a slower, more deliberate approach to discourse; this acknowledges damaged democratic processes and fractured societal social cohesion. Its optimal design would require input from other relevant disciplines and expertise,

      The public Indyweb is eminently designed as a public space for holding deep, continuous, asynchronous conversations with provenance. That is, if the partcipant consents to public conversation, ideas can be publicly tracked. Whoever reads your public ideas can be traced.and this paper trail is immutably stored, allowing anyone to see the evolution of ideas in real time.

      In theory, this does away with the need for patents and copyrights, as all ideas are traceable to the contributors and each contribution is also known. This allows for the system to embed crowdsourced microfunding, supporting the best (upvoted) ideas to surface.

      Participants in the public Indyweb ecosystem are called Indyviduals and each has their own private data hub called an Indyhub. Since Indyweb is interpersonal computing, each person is the center of their indyweb universe. Through the discoverability built into the Indyweb, anything of immediate salience is surfaced to your private hub. No applications can use your data unless you give exact permission on which data to use and how it shall be used. Each user sets the condition for their data usage. Instead of a user's data stored in silos of servers all over the web as is current practice, any data you generate, in conversation, media or data files is immediately accessible on your own Indyhub.

      Indyweb supports symmathesy, the exchange of ideas based on an appropriate epistemological model that reflects how human INTERbeings learn as a dynamic interplay between individual and collective learning. Furthermore, all data that participants choose to share is immutably stored on content addressable web3 storage forever. It is not concentrated on any server but the data is stored on the entire IPFS network:

      "IPFS works through content adddressibility. It is a peer-to-peer (p2p) storage network. Content is accessible through peers located anywhere in the world, that might relay information, store it, or do both. IPFS knows how to find what you ask for using its content address rather than its location.

      There are three fundamental principles to understanding IPFS:

      Unique identification via content addressing Content linking via directed acyclic graphs (DAGs) Content discovery via distributed hash tables (DHTs)" (Source: https://docs.ipfs.io/concepts/how-ipfs-works/)

      The privacy, scalability, discoverability, public immutability and provenance of the public Indyweb makes it ideal for supporting hyperconversations that emerge tomorrows collectively emergent solutions. It is based on the principles of thought augmentation developed by computer industry pioneers such as Doug Englebart and Ted Nelson who many decades earlier in their prescience foresaw the need for computing tools to augment thought and provide the ability to form Network Improvement Communities (NIC) to solve a new generation of complex human challenges.

  5. Jan 2022
    1. Markoff, a long-time chronicler of computing, sees Engelbart as one pole in a decades-long competition "between artificial intelligence and intelligence augmentation -- A.I. versus I.A."

      There is an interesting difference between artificial intelligence and intelligence automation. Index cards were already doing the second by the early 1940s.

  6. Dec 2021
  7. Sep 2021
    1. The main concern for most organizations is to keep complete control over their project. To let them reach the end results, the IT staff augmentation model was brought into the picture.
  8. Feb 2021
  9. Sep 2020
  10. Jul 2020
    1. RDFa is intended to solve the problem of marking up machine-readable data in HTML documents. RDFa provides a set of HTML attributes to augment visual data with machine-readable hints. Using RDFa, authors may turn their existing human-visible text and links into machine-readable data without repeating content.
  11. Dec 2019
    1. But another kind of view might be obtained by extracting and ordering all statements in the local text that bear upon consideration A of the argument—or by replacing all occurrences of specified esoteric words by one's own definitions.
    2. A natural language provides its user with a ready-made structure of concepts that establishes a basic mental structure, and that allows relatively flexible, general-purpose concept structuring. Our concept of language as one of the basic means for augmenting the human intellect embraces all of the concept structuring which the human may make use of.
    1. Thompson’s point is that “artificial intelligence” — defined as machines that can think on their own just like or better than humans — is not yet (and may never be) as powerful as “intelligence amplification,” the symbiotic smarts that occur when human cognition is augmented by a close interaction with computers.

      Intelligence amplification over artificial intelligence. In reality you can't get to AI until you've mastered IA.

  12. Sep 2019
  13. Feb 2019
    1. For example, select a given capability, at any level in the hierarchy, and ask yourself if it can be usefully changed by any means that can be given consideration in the augmentation research contemplated. If it can, then it is not basic but it can be decomposed into an eventual set of basic capabilities.

      It would be interesting to do this exercise with the various learning outcomes one might have for a course. Which can be aided by augmentation/technological intervention? Which can't?

    2. he could successfully make use of even more powerful symbol-structure manipulation processes utilizing the Memex capabilities

      Scalability

  14. Sep 2015
    1. the intellectual effectiveness exercised today by a given human has little likelihood of being intelligence limited