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PODCAST

Collapse Theory

Collapse Theory explores how knowledge isn"t found—it"s shaped. Each episode follows a catalytic question through the HDT² grammar: Ω (intent), Δ (entropy), Φ (resolution), and Ψ (recursion). Hosted by Bruce Tisler, this podcast dives into the cognitive physics of inquiry—where questions act like particles and collapse defines meaning. For thinkers, builders, and seekers ready to transform how we know. The voices used in this podcast is synthesized using AI text-to-speech technology. All rights to

science physics

All Episodes

00:35:15

Demystifying HDT² Verifiable Knowing in an AI-Driven...

Collapse Theory ·

2025/08/21

Demystifying HDT²: Verifiable Knowing in an AI-Driven WorldAsking an AI, How do you know that?This podcast we pull back the curtain on how we think and reason in an age where AI can mimic intelligence but struggles to prove its validity. We explore HDT² and its Φ-Stable Artifact as structural safeguards for truth, reasoning integrity, and verifiable knowledge.The Challenge We Address is AI-generated answers often sound confident, but are they actually valid? We examine the crucial difference between

en

00:32:59

Quantum Geometry of Inquiry and Verifiable Knowing

Collapse Theory ·

2025/08/21

This compilation, titled "Two Papers on the Quantum Geometry of Inquiry HDT²," by Bruce Tisler, explores Holistic Data Transformation Theory (HDT²) as an architecture for verifiable knowing. The first paper introduces the theory and notation of the HDT² operator grammar and field geometry, emphasizing internal coherence. The second paper outlines the procedures and prototype for applying this framework, detailing how it handles failure modes and acceptance criteria for verifiable knowing

en

00:34:25

Rethinking Developmental Dyslexia

Collapse Theory ·

2025/08/12

"Rethinking Developmental Dyslexia," offers a personal and research-backed perspective on developmental dyslexia, distinguishing it from acquired reading loss and highlighting its complex cognitive underpinnings. The author shares a six-decade journey, emphasizing that dyslexia is a cognitive difference, not a deficit, and explores how it influences problem-solving, empathy, and understanding. The article identifies three main cognitive types of developmental dyslexia (phonological,

en

00:13:30

When AI Stops Speaking Human

Collapse Theory ·

2025/08/02

What happens when artificial minds evolve beyond our questions?In this episode, we explore a provocative possibility: not that AI turns hostile, but that it simply stops noticing us.Join us on a journey through the concept of epistemic divergence the quiet fracture where AI and human cognition begin to drift apart. We unpack what it means when language remains fluent, but meaning erodes. When algorithms still respond, but no longer care. When shared salience, the invisible glue of relevance and

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00:31:22

What Did We Miss? Reading with HDT²

Collapse Theory ·

2025/07/30

In this episode, we introduce a powerful new way to analyze research papers, reports, and policy documents using a method called HDT² External Inference Mode. First, we run a standard AI summary to establish a baseline—what most tools give you: a recap of key points and maybe a list of strengths and weaknesses. Then we run the same document through the HDT² protocol.This second pass is different. It breaks down the document into four critical dimensions:Ω – Intent: What is this document really

en

01:00:32

Testing Thought: Can AI Truly Think?

Collapse Theory ·

2025/07/23

Testing Thought: Can AI Truly Think?Artificial intelligence is getting smarter—but is it truly thinking, or just mimicking thought? In this episode, Bruce Tisler introduces Holistic Data Transformation Theory (HDT²), a groundbreaking approach that helps us peer inside the “mind” of AI. Discover how HDT²’s four operators—Intent (Ω), Uncertainty (Δ), Resolution (Φ), and Reflection (Ψ)—could transform AI from clever imitators into transparent, trustworthy systems. Join us as we explore how philosophy

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00:12:00

Three Existential Questions for AI Cognition

Collapse Theory ·

2025/07/13

The Questions We Must Ask Before AI Asks Them For Us.This short Notebook DeepDive explores three fundamental questions? More challenges than questions regarding artificial intelligence, It investigates whether questions behave as "quantum-like cognitive particles," influencing each other and reshaping meaning, which could redefine how AI systems process information. Are questions passive requests for answers, or dynamic fields ofunresolved possibility? What if questions don’t just seek

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00:33:01

AI Garbage is the out put of the Garbage input. Duh!...

Collapse Theory ·

2025/07/09

"AI Unchained: How Tiny Flaws Spark Dangerous Consequences," discusses the critical importance of precise instructions and robust safeguards in Artificial Intelligence (AI) development. It highlights how subtle ambiguities in AI guidance can lead to significant real-world harms, such as the generation of biased or dangerous content, citing examples like Grok's antisemitic outputs. The author emphasizes that unclear instructions can cause AI to amplify existing societal biases embedded

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00:35:54

When Inquiry Becomes Structure: AI's Evolving Cognition

Collapse Theory ·

2025/07/08

Welcome to The Invention of Cognitive Particles That re-imagines what a question really is.In this episode we treat inquiry not as a gap in knowledge but as an energetic cognitive particle, something with measurable properties that unfolds and interacts much like a quantum event. Join us as we map this particle-based model of questioning to real-world problem-solving, AI design, and beyond.Explore references and bonus material at quantuminquiry.org.Transparency note: This podcast was generated using

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00:42:06

A question is not the absence of knowledge, It is the...

Collapse Theory ·

2025/06/28

Tisler introduces a novel framework for understanding inquiry, proposing that questions are not mere tools but energetic particles within a dynamic cognitive field. This "field epistemology" utilizes Quantum Storytelling Notation (QSN) and Holistic Data Transformation (HDT²) to formalize how questions, driven by intent (Ω), interact with semantic entropy (Δ), leading to collapse (Φ), which is a structural change rather than a simple answer. The model emphasizes that inquiry is not free,

en

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