8 Matching Annotations
  1. Feb 2026
    1. A generative AI like ChatGPTData Analyst can take on the role of the evaluation soft-ware. It is expected that this manner of use will make thestudents' work easier, as less emphasis needs to be placedon the programming itself. Instead, teachers can incorpo-rate exercises that encourage students to code more effi-ciently and accurately with the assistance of AI. Thisshifts the focus from finding the right command or func-tion to examining and understanding the data moreclosely. As a consequence, students are better enabled tointerpret the results of statistical evaluation software cor-rectly, thus fulfilling goal 8 of the GAISE report.

      rhetoric: Schwarz uses a statement of transition to contrast the old education model (rote memorization of commands) with a new required model (critical examination).

      inference: This supports the argument that education and labor must start to pivot away from the "Generalist" process-oriented tasks. If the machine assistants handle the 'How' (the commands and functions), then the human must focus more on the 'Why' and the 'what does it mean (understanding/wisdom)'. This helps to validate the work of the assistants and helps to make it useful and valuable in the real world.

    2. statistical knowledge is still required in order toformulate the correct prompts and to ensure that the AIdoes not leave out any step of the analysis.

      rhetoric: author presents a prescriptive claim that AI needs humans with competent knowledge (in this case, statistics) to create prompts and ensure that the AI does not leave out any steps of the analysis. He positions domain knowledge not as a tool for using AI for statistical analysis, but a prerequisite for management of the AI and auditing the output.

      inference: In addition to policing and correcting the AI outputs, the deep domain knowledge is what allows the AI to do complex data analysis without mistakes, hallucinated results, or mathematically false outcomes. This is basically the job description of a human with "Augmented Human Wisdom". The human's value is no longer in doing math, but in possessing the vertical expertise (flesh/wisdom) to know exact what math needs to be done and ultimately auditing the assistant machine's work.

    1. Aphasia-GPT is a real-time, AI-enabled web app designed to expand the words providedby a user into complete sentences as suggestions for a user to select.

      rhetoric: authors provide a definition of their creation (Aphasia-GPT) to describe it's mechanism: taking a fragmented input and expanding it into a fully structured, complete output.

      inference: this is the embodiment of Harari's primary metanym of the word v flesh (syntax v human). in this example, Aphasia-GPT provides the words (syntax) to the fleshy human that struggles with those words, while also relying on the human to spark the intent of the communication. The human is using AI to communicate with words, because the words are very difficult for the human.

  2. Jun 2023
  3. Jan 2023
    1. I've seen a bunch of people sharing this and repeating the conclusion: that the success is because the CEO loves books t/f you need passionate leaders and... while I think that's true, I don't think that's the conclusion to draw here. The winning strategy wasn't love, it was delegation and local, on the ground, knowledge.

      This win comes from a leader who acknowledges people in the stores know their communities and can see and react faster to sales trends in store... <br /> —Aram Zucker-Scharff (@Chronotope@indieweb.social) https://indieweb.social/@Chronotope/109597430733908319 Dec 29, 2022, 06:27 · Mastodon for Android

      Also heavily at play here in their decentralization of control is regression toward the mean (Galton, 1886) by spreading out buying decisions over a more diverse group which is more likely to reflect the buying population than one or two corporate buyers whose individual bad decisions can destroy a company.

      How is one to balance these sorts of decisions at the center of a company? What role do examples of tastemakers and creatives have in spaces like fashion for this? How about the control exerted by Steve Jobs at Apple in shaping the purchasing decisions of the users vis-a-vis auteur theory? (Or more broadly, how does one retain the idea of a central vision or voice with the creative or business inputs of dozens, hundreds, or thousands of others?)

      How can you balance the regression to the mean with potentially cutting edge internal ideas which may give the company a more competitive edge versus the mean?

  4. Jul 2022
    1. Human beings are different from what they seem to be thinking, perceiving, or saying asmediated by social symbolic systems [29 ]. They are different from how they are represented intheir own narratives, they are different from language itself. Interestingly, learning to consciouslybecome aware to that difference—the bare human spirit, the preindividual, or being as becoming asSimondon [30 ] puts it—appears to be the state of mind towards which many spiritual traditionsare guiding. David R. Weinbaum (Weaver) refers to this state as thought sans image [ 13], offering itscontemporary conceptualisation via the metaphysical theories of Henri Bergson, Gilbert Simondon andGilles Deleuze, in combination with the enactive theory of cognition [14 ] and inputs from complexityscience

      !- key insight : thought sans image !- definition : thought sans image * human beings are NOT defined by what they are thinking, perceiving or saying as mediated by social symbolic systems * They are also NOT defined by their own narratives or language itself - the symbolosphere is culturally imposed upon the bare human being * That primordial nature is described as the bare human spirit, the preindividual, being-as-becoming (Simondon) * Many spiritual traditions guide practitioners to experience this primordial state, the nondual state, stripped of all cultural embellishments * David R. Weinbaum (Weaver) calls this state thought sans image based on the metaphysical theories of Henri Bergson, Gilbert Simondon and Gilles Deleuze and 4E theory of cognition

  5. Jun 2022
    1. A love triangle in the making of heartfelt experienceAt the seat of all knowingIn the wisdom of not knowingThe natural inclusion of being in becomingThe in-breath in out-breathIn common passion

      We are each steeped in infinite ignorance but that analytic knowing cannot compare to the embodied wisdom of simply INTERbeing in which we are the natural embodiment of all the laws of the universe keeping us alive and in a state of INTERbeing Embodying the wisdom is far more inline and in harmony with the universe than knowing about it Embodiment is already our natural articulation of the living truth

  6. Mar 2021