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#provenance — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #provenance, aggregated by home.social.

  1. Нужную книгу больше не обязательно искать: как ИИ меняет сам принцип работы с информацией

    Что, если нужную книгу больше не нужно искать — её можно собрать под собственный вопрос? Я проверил эту идею на реальном корпусе: 206 длинных видео, 160 часов 56 минут и 2,15 млн слов транскриптов . Вместо сотен summary я построил конвейер, который выделяет сущности, схлопывает дубли, отслеживает происхождение выводов, проверяет важные утверждения и понимает, когда оставшиеся источники уже не нужно читать подряд. По ходу выяснилось, почему 9 URL могут оказаться одним источником , почему векторная кластеризация не решила задачу смысловых дублей, чем такой подход отличается от RAG и почему длинная работа ИИ-агента неожиданно начинает напоминать разработку обычной программной системы. Но главный вывод оказался шире самого проекта: единицей работы с информацией может становиться не источник, а наш вопрос.

    habr.com/ru/companies/ods/arti

    #искусственный_интеллект #AIагенты #LLM #RAG #provenance #база_знаний #дедупликация #обработка_информации #управление_знаниями #fact_checking

  2. [Edited, twice, for typos]
    [No AI was used in writing this toot — I’d rather not write at all otherwise]

    The use of #GenAISlop machines to determine whether text was provided by #LLM #TextRegurgitatingMachines is a monster of a cyclical process. Like the integrity of police officers overseen by other police officers in another branch of law enforcement. Lawyer oversighted by a professional lawyer body… and so on. #Credibility and #Transparency are unlikely to prevail in such nepotistic circumstances, corruption is everywhere but a step away.

    What are #Authors to do? Build a #TrailOfEvidence and unimpeachable record of #Provenance for every work they wish to publish? How are they to do this? Are there non-AI tools to help? This is a really f*^%#d up world the #TechBros are imposing upon us all with their inane #MarketingHype hitting the mark with many incompetant and gullible executives in charge of the #publishingIndustry. (This is all conjecture on my part based on very little but general observations of what LLM GenAI is doing — or not doing — in every field of endeavour).

    “Pangram is not infallible. I’ve used it to run some of my newsletters through it, and they came back as 80% AI when I wrote every word myself. This is one of many reasons why I disagree with Substack’s decision to partner with Pangram. Another reason is that once a tool like Pangram is available to the masses, false accusations start flying around, and careers can be ruined. Whether you admit it or not, there is A LOT of jealousy in the publishing world, so it wouldn’t surprise me if someone who disliked author X decided to use Pangram on their work and made the results public. This is not the publishing world I want to live in.” (Read more: AI Accusations and Book Publishing - Kathleen Schmidt, Aug 01, 2026). A blog post on Substack, sry. kathleenschmidt.substack.com )

    #Writing #WritingCommunity #Publishing #SlefPublishing #AuthorshipProvenance #Author #Writer #Disclosure #ProofOfAuthorship

    PS. I wonder how many *airport* books by some of the most successful authors in the *genre* would pass muster if subjected to #Pangram or similar GenAI tool generated analysis? Not many I’d wager. Further, what’s the bet Pangram is itself code produced by a GenAISlop machine. This AI ponzie scheme is just getting wilder and wilder by the day… BOOOMMM !

  3. Travel Tales: Visualizing Provenance as Data
    by Elizabeth Alice Honig, Deb Niemeier, Christine Quach, Haojian Cheng

    Provenance—the chain of an artwork’s ownership and location—has long resisted structured data analysis. Fragmentary and semi-narrative records make regularization difficult.

    #Provenance #DigitalArtHistory #DataVisualization #BaroqueArt
    journals.ub.uni-heidelberg.de/

  4. Hashtagging applied to this thread after the fact:

    #contentcredentials #digitalsignatures #audittrail #provenance #photoprovenance #imageprovenance #C2PA

    (Why as a reply? Because of invidious post-length limits, otherwise this could have been an edit of the original post.)

  5. New (as yet unpublished) potential evidence that #SARS-#CoV-2 was found in #raccoon #dogs (canids) in the #Huanan #Market in late-2019. Specifically, viral and raccoon dog #DNA in #swabs presumably taken at the time from a stall known to house those animals.

    Caveats:

    -not yet #peer #reviewed.

    -lots of DNA mixing together in a market.

    -can the #provenance of the data be #verified?

    - #zoonotic/#lab/market #origin are not #mutually #exclusive.

    #COVID 🦠 🧬

    🔗 theatlantic.com/science/archiv