12 Matching Annotations
  1. Last 7 days
    1. in that bitmap representation at the end i can look at every position in my bitmap and i can refer it back explicitly to the bits of reference information that i trained it with

      for - semantic fingerprint bitmap - tracing bitmap to training dataset

    2. for - semantic folding - semantic fingerprint - cortical.io - numenta - sparse coding - Francisco Webber - symmathesetic fingerprint

      summary - In this informative interview, Francisco Webber, a principal cofounder of Cortical.io, discusses how the company's core technology, semantic folding and semantic fingerprints of words is unique and differs from the usual AI large language models. - Cortical I/O's approach is a biomimicry approach that is based on representing words in the way that brain operates. - It employs a word-to-geometry mapping implemented using Numenta's sparse coding technique. - This approach allows Cortical to train using very small training data sets of 100 gigabytes of data, which takes a few hours to train - many orders of magnitudes smaller than normal AI training data sets.

    3. if you have bitmaps let's say 100 times 100 in in square and you now throw in let's say 200 dots in this bitmap the rest is white you should what you need is a function that renders any given word in a bitmap such that words that are similar render in two similar bitmaps

      for - example - semantic fingerprint bitmap - adjacency - semantic fingerprint bitmap - semantic folding - symmathesetic fingerprint - symmathesetic folding - Indyweb - adjacency - indranet - salience mismatch

      example - semantic fingerprint bitmap - 100 x 100 square - 200 dots in the bitmap - sparse coding - function that renders words in the bitmap such that - words that are similar render in two similar bitmaps

      adjacency - between - semantic fingerprint - semantic folding - symmathesetic fingerprint - symmathesetic folding - Indyweb - Indranet - adjacency - salience mismatch - adjacency relationship - This word-to-geometry mapping is the key idea and can also be employed within Indyweb to represent the concept of word/idea adjacency unique to the meaningverse of each language user - While Cortical develops dictionaries for specific domains, within Indyweb, we can go even more granular, and develop dictionaries for each indyvidual!

      definition - indyvidual dictionary - In Indyweb, an indyvidual's dicitionary can be calculated by employing a word meaning-to-geometry bitmap to determine the adjacencies salient to any word - This can be used to reduce salience mismatch (misunderstanding) that is inherent in any human symbolic communication

  2. Aug 2024
    1. speak with an awareness that our words "land in multiple contexts" determined by various discourses that other people live in.

      for - indyweb / Indranet symmathesetic fingerprint

  3. May 2024
    1. There's so many different worlds So many different suns 00:02:58 And we have just one world But we live in different ones

      for - Indyweb - connecting the multimeaningverse - multimeaningverse - lebenswelt - perspectival knowing - quote - Mark Knopfler - Brothers in Arms - private inner world / public outer world - self other gestalt - adjacency - Brothers in Arms - We have just one world but live in different ones - perspectival knowing - self other gestalt - lebenswelt - semantic fingerprint - salience mismatch - Indyweb - Deep Humanity salience landscape - John Vervaeke

      quote - Mark Knopfler - Brothers in Arms - (See quote below)

      • There's so many different worlds
      • So many different suns
      • And we have just one world
      • But we live in different ones

      adjacency - between - Brothers in Arms - We have just one world but live in different ones - - perspectival knowing - self other gestalt - lebenswelt - semantic fingerprint - salience mismatch - Indyweb - John Vervaeke - salience landscape - Deep Humanity - meaningverse - multimeaningverse - adjacency relationship - This verse is so beautiful in summarizing the human condition - We each have our own unique lifeworld, what Edmund Husserl called "Lebenswelt" - https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=lebenswelt - The self / other gestalt has its two poles, each belonging to two complimentary worlds: - The self has a private inner space only accessible to the individual organism - At the same time, the individual self phenomenologically experiences other living organisms, both of the same and different species - Different individual organisms can share a common public space, which for humans is navigated using the instrument of language - Deep Humanity defines the words - "meaningverse" - the individuals world of meaning - "multi-meaningverse" - the shared meaning of many individuals converging their respective individual meaningverses together - The song employs these verses to articulate the complimentary and sometimes contradictory-appearing worlds of the private-inner ad the public-outer - The semantic fingerprint of each word in an individual's vocabulary is unique to that individual as a function of - varying enculturation and social conditioning - https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=semantic+fingerprint - and all these different perspectives - something cognitive scientist John Vervaeke calls "perspectival knowing" - https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=John+Vervaeke - https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=perspectival+knowing - can lead to what we call in Indyweb / Deep Humanity terminology "salience mismatch" (ie. misunderstanding) - derived from John Vervaeke's popularization of the term "salience landscape" - https://jonudell.info/h/facet/?max=100&expanded=true&user=stopresetgo&exactTagSearch=true&any=salience+landscape - War, hatred, crime and violence are all extreme forms of othering which emerge when we fail to understand the nature of the self/other and individual/collective gestalt

  4. Feb 2024
  5. Nov 2020
    1. awk '{print $2}' /etc/ssh/ssh_host_ed25519_key.pub | base64 -d | sha256sum -b | sed 's/ .*$//' | xxd -r -p | base64 | sed 's/.//44g' | awk '{print "SHA256:"$1}'
  6. Mar 2019
    1. even on text data the assumption thatone can always find reasonable sentences is questionable

      I can always find "reasonable sentences" (i.e. one which fingerprints the document), by applying Matt's Rule of Text.

  7. Apr 2018
    1. If the ID can’t be extracted (because the PDF doesn’t contain a trailer, the trailer doesn’t contain a valid ID array, etc) then use an MD5 digest of the first 1024 bytes of the file instead
    2. The ID entry is an array of two byte strings. The first byte string in the array is a “permanent identifier” that’s “based on the contents of the file at the time it was originally created” and “shall not change when the file is incrementally updated”. This is the identifier that we’re interested in. The second byte string is a secondary identifier that should also be based on the contents of the file, and should initially have the same value as the first identifier, but that should be re-computed based on the new file contents each time the file is updated. It enables you to identify a different version of the same file. Hypothesis doesn’t use this second identifier.
  8. May 2017