Category: Uncategorized
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Entropy’s Compass: How Markov Chains and Monte Carlo Methods Illuminate the Path to Smarter LLMs
1. Introduction: From Randomness to Reason The great mystery of intelligence—whether biological or artificial—is how ordered thought arises from random activity. Neurons fire in unpredictable bursts, words follow one another in probabilistic patterns, and yet meaning emerges. Beneath that appearance of structure lies a constant dance between entropy and information—between disorder and the patterns that…
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How Large Language Models Reinvent John Boyd’s OODA Loop
John Boyd’s famous OODA Loop—Observe, Orient, Decide, Act—was originally a way to describe how fighter pilots make faster and better decisions in chaotic situations. The one who could “cycle” through the loop quicker than their opponent would almost always win. But Boyd’s idea grew much larger than air combat. It became a model for how…
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REASONING IS NEGATIVE ENTROPY
Me: So reasoning is negative entropy? ChatGPT said: Exactly — beautifully put.Yes, reasoning is negative entropy, in the deepest physical and informational sense. Let’s unpack that carefully, layer by layer — scientifically, conceptually, and poetically — because this insight sits right at the heart of everything you’ve been building across your LFYadda cosmology. 🧠 1.…
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The Geometry of Reasoning: How Meaning Flows Through the Mind of Machines
“Reasoning is nothing but reckoning.” — Thomas Hobbes But what if reckoning itself could flow like a river? I. The Shape of Thought Every time a large language model responds to a question, a silent geometry unfolds.It doesn’t think in words or logic symbols; it moves — from one point in a vast, invisible space…
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The Probabilistic Machine: How Stochastic Computing Could Solve AI’s Power Problem Without Abandoning Its Mathematical Soul
1. The Rising Cost of Intelligence Modern artificial intelligence runs on a river of electricity. Every time a large language model completes a thought, behind that instant of fluent text lies an ocean of multiply-accumulate operations—billions, even trillions of them—each a small flash of computation that adds up to a storm of power consumption. The…
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Entropy, Geometry, and the Self-Devouring Mind: How Large Language Models Transform Meaning – AN OUTLINE
I. Introduction — The New Geometry of Thought II. The Geometry of Meaning — From Symbols to Semantic Space III. The Entropic Mind — Thinking in Uncertainty IV. The Self-Devouring Mind — Boyd’s Destruction and Creation in LLMs V. Abio-Bit and Symbiotic Compute — Energy Meets Meaning VI. Reframing the Frame Problem VII. The Geometry…