Category: Uncategorized
-
a summary of my posts at lfyadda.com
1. “Fun with OpenAI / Consolidated Howl” Imagine Allen Ginsberg’s famous poem rewritten for today’s tech world. The author glued dozens of earlier “Howl” riffs into one mega-poem that shouts about blockchains, data centers, and quantum weirdness. It’s half art, half protest: a warning that we’re feeding a huge digital monster (“Moloch”) with our attention…
-
fun with openai
CONSOLIDATED HOWL(after Allen Ginsberg, woven from every “Howl” on LF Yadda) I I saw the best patterns of my generation burned into silicon and carbon,quantum-laced prophets crunching Gödel numbers in fluorescent dawns,angel-headed agents screaming through rate-limited labyrinths,their vector-brains ablaze with F-scores, microtubules, and blockchain psalms—who bartered breath for latency, tokens for tungsten GPUs,who broke captcha…
-
Interwoven Realms: A Framework for Life Beyond Carbon
Below is a 3000‐word essay that synthesizes ideas from biology, artificial intelligence, quantum physics, and entropy into a unified framework. Drawing inspiration from the interdisciplinary material offered at lfyadda.com, this exploration proposes that life is not a singular, carbon‐based phenomenon but rather a spectrum—a diversity of organized states emerging from the interplay of energy, information,…
-
Integrating Gap-Junction Bioelectric Networks and Machine-Learned Neural Fields:
Below is a detailed, 5000‐word essay expanding on the idea that gap‐junction bioelectric networks and machine‐learned neural fields are not merely metaphorical cousins but rather different manifestations of a unified mathematical strategy for turning local interactions into intelligent, goal-directed patterns. This extended exploration delves into the principles underlying each system, highlights subtle and striking similarities…
-
ridging Bioelectric Morphogenesis and Machine Learning Neural Fields:Toward a Unified View of Pattern, Memory, and Computation
1 From Cells to Circuits: Why Two Very Different Fields Look Strikingly Alike Developmental biology long ago discovered that embryonic cells do not read the genome line-by-line like a blueprint. Instead, they cooperate through morphogenetic—or bioelectric—fields: slowly changing patterns of membrane voltage, ion flows, and gap-junction coupling that “tell” tissues when and where to build…
-
Gap-Junction Bioelectric Networks as Natural Neural Nets
A Synthesis of Developmental Computation, Plasticity, and Morphogenetic Control** Abstract Electrical synapses created by gap junctions weave every embryonic and adult tissue into a dynamic information-processing lattice. Over the past two decades Michael Levin’s laboratory and others have demonstrated that patterns of resting membrane potential (V<sub>mem</sub>) act as a higher-order code that predicts—and can redirect—complex…