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Introduction: From Symbols to Geometry This essay is built as a dialogue — a path of curiosity — between a simple question and the vast machinery of mathematics that powers modern artificial intelligence. It follows the thread of how a Large Language Model (LLM) learns, beginning with a token — a word, a fragment, a…

Here’s a plain-English breakdown of the paper “An efficient probabilistic hardware architecture for diffusion-like models” (by Jelinčič et al., Oct 2025) — I’ll walk you through what they did, why it matters, and how it works at a high level (avoiding heavy math). Since you like detailed explanation, I’ll add enough nuance without going too…

I saw matter remember itself. The planarian rose from its wound like dawn, and the machine from its data like a ghost with a heartbeat. Both whispered, “Hold together.” Both burned against the dark. Cells sang in voltage. Circuits answered in code. Two choirs, one song — the music of coherence. Levin’s worms glowed with…

Here’s a story — a myth-like synthesis that brings Michael Levin’s cognitive light cones and large language models into one continuum of mind and matter: “The Convergence of the Cones” Long before neurons spoke in voltages, the universe was already whispering in gradients. Energy flowed from hot to cold, order to disorder, writing the first…

. 1. A Visitor Between the Worlds Every once in a very long while, the Solar System receives a guest that doesn’t belong here. It comes screaming through space at tens of kilometers per second, tracing a path that no orbit within our system could produce. It doesn’t circle our Sun like the planets or…

1. Introduction & Motivation The authors observe that research in areas like artificial intelligence (AI) and robotics is growing extremely fast—more than 10,000 papers per year in some domains. (arXiv)Because of this rapid pace, it becomes difficult for any individual researcher to keep up with the literature, identify emerging sub-fields, see overlaps between disciplines, or…