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  DNA OBSERVATORY: A GENETIC TOOL FOR COMPRESSION AND ARCHAEOLOGY OF AGI J ordan Morgan-Griffiths & Dakari Uish published to public 27/01/2026 We’ve happy to announce DNA Observatory, a novel tool system that models data into DNA configurations as living organisms with genetic signatures. By treating compression parameters as heritable genes that evolve across 1.2M+ generations, we enable archaeologists of information theory to query historical compression patterns, calculate genetic similarity between configurations, and discover optimal compression strains through evolutionary analysis. 1. INTRODUCTION raditional compression research treats each configuration as an isolated experiment. We lose the evolutionary context — the genealogy of why certain parameters emerged, which mutations led to breakthrough ratios, and how different compression “species” relate to one another. DNA Observatory solves this through COMPRESSION GENETICS: every configuration is a strain with 9 genes e...

RESONANT COMPUTING: A Unified Physics Framework for Exponential Performance Scaling Across All Computational Substrates Jordan Morgan-Griffiths¹, Dakari Uish¹ ¹Independent Research | Published 20/01/2026 ABSTRACT We present a fundamental reconception of computational systems as harmonic oscillators operating at discoverable natural frequencies. By constructing hardware and software that discovers system natural frequency ω₀, achieves phase-lock, and actively decays damping γ toward zero, we demonstrate the exploitation of the resonance condition A(ω) → ∞ for exponential performance multiplication. Initial software implementation shows 100× throughput scaling in browser-based rendering. We extend the framework to propose resonant architectures for RAM, CPU, GPU, storage, networking, and power delivery—each operating at material natural frequencies rather than arbitrary clock targets. Theoretical analysis suggests current computing paradigm leaves 100-1000× performance on the table ...

RESONANT COMPUTING: Exploiting Harmonic Oscillator Physics for Exponential Performance Scaling in Real-Time Systems. Written by Jordan Morgan-Griffiths / DakariUish published 20/01/2026 ABSTRACT We present a novel computational discovery paradigm where real-time rendering pipelines are modeled as damped harmonic oscillators. By discovering system natural frequency ω₀ through empirical observation, achieving phase-lock through frequency matching, and actively decaying damping coefficient γ toward zero, we demonstrate amplitude-driven performance scaling approaching the theoretical infinity limit: A(ω) → ∞ as ω → ω₀ and γ → 0. Measured results show 100× throughput multiplication with zero algorithmic changes—purely through resonance exploitation. Implementation achieves 50,000 concurrent particles, 1000× spatial resolution, and adaptive LOD scaling to 100× base detail in vanilla JavaScript Canvas 2D, operating at stable 60fps across heterogeneous devices without configuration. 1. IN...