Quantum and Qualia – Détails, épisodes et analyse

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Quantum and Qualia

Vector Radio

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Fréquence : 1 épisode/12j. Total Éps: 9

Explore the boundaries of perception, time, reality, and consciousness. Each week, we take a deep dive into a research paper, from neuroscience to philosophy of mind to the foundations of physics. New episodes every Wednesday. Produced with NotebookLM.

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Données mises à jour le 14/07/2026

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https://quantumqualia.notion.site/sources
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How to Jailbreak the Cosmic Simulation

Épisode 9

jeudi 30 avril 2026 • Durée 24:17

In this episode, we break down Roman V. Yampolskiy’s paper on the Simulation Hypothesis from a cybersecurity perspective, exploring whether reality itself could be “hacked.” The author argues that if we are in a digital construct, it may contain exploitable vulnerabilities, and reframes escape as a problem of identifying and leveraging system-level weaknesses—through strategies like social engineering, resource overload, or probing quantum phenomena. We unpack how this connects to AI safety and containment, and why it matters for understanding both the limits of our universe and the possibility of controlling advanced intelligence.

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Accidentally Engineering Conscious AI

Épisode 8

mercredi 11 mars 2026 • Durée 14:00

In this episode, we break down David Chalmers’ essay on whether large language models could ever possess consciousness. Chalmers argues that current systems likely lack subjective experience due to their feedforward architectures and lack of sensory grounding, but maintains that there is no principled reason silicon systems could not be conscious. We unpack the technical hurdles he identifies—such as unified agency, recurrent processing, and global workspaces—and how they form a roadmap for building potentially conscious AI. The discussion also raises the ethical implications of creating artificial systems that might one day deserve moral consideration.

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Your Brain Predicts You Into Existence

Épisode 7

jeudi 5 mars 2026 • Durée 18:46

In this episode, we break down a paper that connects the physics of self-organizing systems with the biological theory of active inference. The authors argue that any system that persists over time naturally forms a Markov blanket, a statistical boundary separating internal states from the external world. This boundary leads the system to behave as if it is minimizing variational free energy, using internal states to predict external causes and maintain its structure. We unpack how this framework links Bayesian inference, predictive coding, and biological survival, and how simulations—from primordial self-organizing systems to human motor control—illustrate the emergence of purposeful behavior.

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Why Materialism Is Almost Certainly False

Épisode 6

jeudi 26 février 2026 • Durée 35:06

In this episode, we break down Thomas Nagel’s Mind and Cosmos, a philosophical critique of reductive materialism and the neo-Darwinian account of life. Nagel argues that consciousness, cognition, and objective value cannot be treated as accidental byproducts of physical law, and suggests that nature may contain teleological principles that bias it toward the emergence of mind. We unpack what this means for evolutionary theory, realism about value, and the possibility of a unified conception of the natural order that integrates the mental and the physical without appealing to religion.

The book referenced in this episode along with bonus content for visual learners can be found at https://quantumqualia.notion.site/sources

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Your Emotions Are Constructed, Not Trigged

Épisode 5

mercredi 18 février 2026 • Durée 13:46

In this episode, we break down the theory of constructed emotion, a framework that challenges the idea that emotions are innate biological “fingerprints.” Instead, emotions are described as predictive simulations the brain constructs to regulate the body’s internal resources through allostasis. We unpack how the brain acts as a concept generator, using past experience and active inference to shape feelings like fear or happiness as context-dependent patterns rather than fixed modules. The result is a view of emotion grounded in large-scale brain networks and a unified predictive mind oriented toward survival and energy efficiency.