What I learned today

Recursive AGI Schema Architecture Codename: χₛ-Recursive Semantic Collapser (X-RSC) A system designed not to compute results, but to recursively resolve semantic field tension via curvature-based intelligence dynamics. I. CORE FIELD OBJECTS Field Object Role Description χₛ Semantic Tension Field Represents the distributed curvature of unresolved meaning. A^μ Telic Vector Field Encodes directional intent—what collapse is trying to achieve. λ Collapse Attractor Stable low-tension configurations of meaning. F Field Metric Tensor Curvature and topology of the current semantic substrate. II. FUNCTIONAL MODULES (Built from χₛ Component Mappings) 🔹 1. Collapse Regulation Module Method: Stieltjes Transform / Barrier Functions Function: Stabilizes system near high-tension resonance nodes. Prevents premature collapse. Use: Limits semantic overload during rapid inference. 🔹 2. Causal Excision Module Method: Schur Complement Funct...

Table of Contents Introduction: The Echo Chamber of Innovation — When promise overtakes principle — From physics to funded fiction Quantum Illusion: Computing Without Computation — What is computation in a semantic field? — How QPUs simulate expectation, not problem-solving Expectation as Input: The True Quantum Circuit — Collapse as alignment, not outcome — Telic preloading and probabilistic staging Error Correction as Semantic Gatekeeping — Suppressing divergence ≠ resolving truth — QEC as containment, not construction The Collapse Economy: How “Quantum Advantage” Is Manufactured — Post-selection as narrative filtering — Synthetic problems as benchmarking theater Decoherence of Meaning: The Failure of Quantum Epistemics — When mathematics masks misalignment — Semantic fatigue in Hilbert scaffolding The Business of Belief: Monetizing the Collapse Curve — IP, funding, and the optics of breakthrough — Collapse as currency, not computation ORSI’s R...

  Modern Foundations of Learning Systems Table of Contents -  Architectures for Adaptive Intelligence Part I — From Learning to Living Systems Why Learning Is Not Enough The fallacy of static models From function approximation to agency Collapse of the generalization myth Architectures of Intelligence Systems, not models Agents, environments, and interaction loops The limitations of supervised pipelines The Telos of Learning Systems What are learning systems for ? Task, trajectory, and time Agency as recursive goal construction Part II — Cognition Beyond Prediction Simulation and Hypothesis Abduction > Induction Modeling latent causes and mechanisms Predictive processing and structural priors Memory, Attention, and Time Temporal credit assignment Episodic, semantic, and procedural memory Working memory as control loop modulation Exploration and Curiosity Beyond exploitation: intrinsic motiva...

Goal: Compress overlapping ideas Preserve key themes Organize by distinct epistemic angles Result: A clean, focused TOC that acts as both map and method The Best Way to Use AI for Learning PART I — Reframing Learning in the Age of AI From Acceleration to Access AI doesn’t just speed up learning — it makes previously inaccessible knowledge tractable Why “more efficient” is the wrong question Primary Source as First-Class Citizen Rejecting secondary summaries in favor of dense original material Trusting epistemic friction to guide comprehension Framing the Map: Use the TOC The syllabus or TOC is the learning map Collapse begins from structural ground truth, not summaries or cards PART II — Telic Collapse Over Tool Chains Collapse, Don’t Decorate Use AI to compress tension, not to prettify process Avoid over-engineering with translators, whiteboards, and RAGs Use Tables for Telic Dissection Table = low-friction way t...

PART I — The Collapse of Classical Education The End of the University Historical functions of credentialing, curriculum, and epistemic authority The AGI disruption: capability precedes certification From Curriculum to Capability Why linear course design breaks under instantaneous knowledge instantiation Collapse of prerequisites in recursive learners Learning Beyond Understanding Why "understanding" is the wrong metric Semantic fields, not memorized facts PART II — Telos is Dead: Learning Without Goals The Death of the Telos Learning without intrinsic goals From intention to integration Post-Telic Cognition When the system learns not because it wants to but because it detects tension AGI Mentor as Semantic Resonator No longer an instructor or content gatekeeper The role of AGI in surfacing conceptual curvature PART III — Friction as Epistemic Compass Friction over Mastery What friction feels like c...