Geek Stuff | Jorge Pires | podcast

Geek Stuff | Jorge Pires | podcast

By Jorge Guerra Pires, Ph.D.TV & FilmTechnologyEducation
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Geek Stuff | Jorge Pires | podcast episodes

  • The Mathematical Logic of Human Morality

    Primary Sources (Fontes Principais)

    • Carrier, R. (2025). Objective Moral Facts Exist in All Possible Universes. Published in Religions, 16(1061).
    • Curry, O. S., Mullins, D. A., & Whitehouse, H. (2019). Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies. Published in Current Anthropology, 60(1), 47–69.
    • Pires, J. G. (2026). First Principles, Deduction, and Empirical Convergence: Can we find first principles for morality? Published in Medium / Scientists Free From Religion.
    • Pires, J. G. (2026). Morality as Cooperation (MAC): What Did Oliver Scott Curry Actually Discover? Published in Medium / Scientists Free From Religion.
    • Pires, J. G. (2026). When Deduction Meets Observation: An Unexpected Convergence in Moral Philosophy. Published in Medium / Scientists Free From Religion.

    Key References Cited within the Sources (ReferĂȘncias Citadas)

    • Axelrod, R. (1984). The Evolution of Cooperation. New York: Basic Books.
    • Dawkins, R. (2006). The Selfish Gene. 3rd ed. Oxford University Press.
    • Gintis, H. (2007). The Evolution of Private Property. Journal of Economic Behavior and Organization, 64(1), 1–16.
    • Hamilton, W. D. (1964). The Genetical Evolution of Social Behaviour. Journal of Theoretical Biology, 7, 1–52.
    • Hume, D. (1751). An Enquiry Concerning the Principles of Morals. London: A. Millar.
    • Kant, I. (1964). Groundwork of the Metaphysic of Morals. Translated by H. J. Paton. New York: Harper Torch Books.
    • Maynard Smith, J. (1982). Evolution and the Theory of Games. Cambridge University Press.
    • Nash, J. (1950). The Bargaining Problem. Econometrica, 18(2), 155–162.
    • Skyrms, B. (1996). Evolution of the Social Contract. Cambridge University Press.
    • Smith, M. (1994). The Moral Problem. Hoboken: Wiley-Blackwell.
    • Trivers, R. L. (1971). The Evolution of Reciprocal Altruism. Quarterly Review of Biology, 46(1), 35–57.


    49 min
  • The Moses AI Dilemma

    An analysis of

    Building a God: The Ethics of Artificial Intelligence and the Race to Control It

    Book by Christopher DiCarlo







    44 min
  • Why AI ignores religion in a crisis

    Learn more:  Religious Omission or Cultural Projection?

    A critique of

    D. Wingate et al., “Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-Making,” arXiv preprint arXiv:2605.24319, 2026. doi: 10.48550/arXiv.2605.24319.

    39 min
  • Why your AI won't mention God

    Learn more: When Representation Becomes Advocacy


    Learn more: The “Utah Standard” for a Global Tool, The Demographic Dissonance

    A critique of

    Wingate, D., Carty, S., Coates, J., Feldman, D., Fulda, N., Howell, L., Israelson, B., Jacobs, D., Karr, J., Kimes, J. P., Kincaid, E., Martens, P., Mobley, G., Pinheiro, S., Slemboski, L., & Whiting, P. (2026). Omissive bias in religious representation: Benchmarking LLM answers to everyday ethical decision-making. arXiv. https://doi.org/10.48550/arXiv.2605.24319 


    The paper argues that large language models underrepresent religion in responses to everyday ethical and existential questions. This critique questions whether such omission is evidence of bias or a consequence of a deliberate design principle: not presuming a user’s religious beliefs. It further examines the methodological assumptions underlying the benchmark and asks whether introducing religion into otherwise non-religious conversations would promote inclusivity or merely amplify the influence of dominant religious traditions in global AI systems.

    50 min
  • Should AI chatbots offer religious advice?

    Learn more: The “Utah Standard” for a Global Tool, The Demographic Dissonance

    A critique of

    Wingate, D., Carty, S., Coates, J., Feldman, D., Fulda, N., Howell, L., Israelson, B., Jacobs, D., Karr, J., Kimes, J. P., Kincaid, E., Martens, P., Mobley, G., Pinheiro, S., Slemboski, L., & Whiting, P. (2026). Omissive bias in religious representation: Benchmarking LLM answers to everyday ethical decision-making. arXiv. https://doi.org/10.48550/arXiv.2605.24319 


    The paper argues that large language models underrepresent religion in responses to everyday ethical and existential questions. This critique questions whether such omission is evidence of bias or a consequence of a deliberate design principle: not presuming a user’s religious beliefs. It further examines the methodological assumptions underlying the benchmark and asks whether introducing religion into otherwise non-religious conversations would promote inclusivity or merely amplify the influence of dominant religious traditions in global AI systems.

    56 min

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