°°°°~x§x-<@> Executive Summary The content of this article was generated with the help of a LLM (NotebookLM) from the analysis of the videos, so please check the sources for a more accurate analysis. This document synthesizes the core themes, arguments, and conclusions from the Mind & Life Institute’s “Minds, Artificial Intelligence, and Ethics” dialogue (10/2025). …
Continue reading “AI, Vulnerability, and Human Relationships”
°°°°~x§x-<@> Introduction The application of new AI technologies, such as Large Language Models (LLMs) and machine learning (ML), to strengthen democracy must be carefully scrutinized through the lens of Ezequiel Di Paolo’s enactive philosophy and Barbara Stiegler’s critique of expertocracy, as these thinkers challenge the foundational computational and elitist assumptions often underlying such technologies. Based …
Continue reading “AI, Enactment, and Democratic Self-Governance”
°°°°~x§x-<@> Abstract: This article discuss the epistemology of modeling and simulations, positioning them not merely as descriptive tools, but as crucial heuristic devices and active epistemological practices central to developing a comprehensive, enacted approach to cognition and self-understanding. This focus is situated within the larger framework of Second-Order Rationality² and the integration of first-person (1P) …
Continue reading “Epistemology of Modeling, Cognition, and Self-Understanding”
°°°°~x§x-<@> For a long time, the dominant metaphor for the mind has been that of a computer—a complex information processor housed inside the skull, receiving inputs from the senses and producing behavioral outputs. This image of a “brain in a vat” has shaped not only science fiction but also much of our everyday thinking about …
