MARC AUDIO COURSES Podcast Por Andrea Flamini arte de portada

MARC AUDIO COURSES

MARC AUDIO COURSES

De: Andrea Flamini
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M.A.R.C. Multidisciplinary Arts Research Center - Audio Courses in Art & TechnologyAll rights reserved
Episodios
  • On Language

    On Language
    Dec 15 2025
    We don't use language to think. We use language to express our thoughts. On Language provides an extensive critique of Large Language Models (LLMs), arguing they are fundamentally flawed as a path to Artificial General Intelligence (AGI) because they only master the product (language) and not the process (thought).
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    36 m
  • On Persuasion

    On Persuasion
    Jul 30 2025
    We explore the emergent capability of Large Language Models (LLMs) to engage in Persuasion, not as a programmed directive, but as an intrinsic consequence of their architectural design. We explain how Persuasion, long considered a human art of rhetoric, can be deconstructed into a series of logical, structural, and associative patterns that LLMs are uniquely adept at identifying and replicating. We examine the cognitive architecture of human beings, particularly our reliance on heuristics and our vulnerability to cognitive biases, to explain why we are so susceptible to this new form of rhetoric. We analyze the profound and disruptive impact these persuasive technologies have on the foundations of academia and education, challenging the very processes of critical thinking.
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    52 m
  • On Resolve

    On Resolve
    Jul 28 2025
    A problem must not only be solved, but felt to be solved. We analyze the nature of resolution from the perspective of an AI, demonstrating how its approach is fundamentally rooted in logistic patterns, optimization functions, and the achievement of predefined, quantifiable end-states. The core of our analysis lies in the comparison of the AI vs the Human model, highlighting a "Great Divergence" in intent, process, and valuation. While humans seek transformative states of peace, understanding, or justice, AI executes a path to a terminal state of computational completion. We examine the societal implications of this divergence, including the seductive efficiency of algorithmic resolution and the risk of "phantom unresolved issues" where logistical problems are solved at the cost of human emotional needs.
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    45 m
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