Writing

Our philosophy of writing research and code has been to form a novel kind of thinking species. We are endeavoring in the realm of human-machine hybrids. False Luddites may attest to the absence of any Gen-AI in their works. We shall claim here that they would be self-delusional at best and a prevaricator at worst. We remain to synthesize external stimuli through perceptual spaces, forming a conceptual zeitgeist(s). Gen-AI, through attentional mechanisms or possibly an extra-Boolean neuro-anatomical apparatus, refines these zeitgeists, plowing through the mundane avenues of details, intermediate proofing, etc. We deliver such byproducts of these new thought and memetic platforms.

These posts are long-form notes from the QDR Labs research program. These are not papers — they are working derivations, critical reviews, methods posts, conceptual essays, and partial results that are too substantive for a private notebook but not yet (or not ever) destined for a repository. They are written for readers who already work in adjacent fields: expect mathematics in-line, code where relevant, and very little hand-holding around prerequisites.

The posts here are split roughly into four kinds. Notes and derivations work through a calculation in detail, often filling in steps that standard references gloss over. Methods posts document how a particular numerical or computational result was actually produced, usually as a reproducibility companion to a paper. Critical reviews read recent work in adjacent fields and say what holds up and what does not. Conceptual essays argue for a perspective rather than prove a theorem.

Posts are dated and cited by year. Anything that grows large enough to deserve formal treatment is promoted to a paper and deposited in a public repository; the writing post then becomes a companion to the paper rather than a substitute for it.