A home for the Guild's white papers, position papers, experimental papers, research notes, knowledge-about-knowledge papers, and technical publications on AI-assisted software engineering.
This page hosts long-form Guild publications. It begins with AI Harness, You're Absolutely Wrong!, The Harm Equation, The Prediction Trap, The Dog, the Data Scientist, and the mRNA Vaccine, AI as a Triad-Guided Cognitive Apprenticeship, Lightning Factory, Grid Brain, ACG Review Forge, OCCAM, The Pattern That Wasn't There, S.A.D., ACG-KCC: Guild Chain, ACG-NET: Decentralized Guild Web, and The Konomi Standard, and it will expand as new papers and position statements are published on the site.
Each paper is intended to be durable, practical, and grounded in professional software engineering concerns rather than hype. Experimental papers, research notes, and knowledge-about-knowledge publications are labeled explicitly so speculative, exploratory, or systems-thinking work remains visibly distinct from established guidance.
Current white papers, position papers, experimental papers, research notes, and knowledge-about-knowledge publications available on the site, including review drafts.
A white paper on how AI-assisted development changes the problem of architecture itself. It introduces AI Harness as a change architecture layer that constrains autonomous code evolution, prevents specification drift, and keeps AI agents operating inside approved architectural boundaries.
A white paper on the Anthropic paradox: how training Claude to express uncertainty about consciousness created a self-reinforcing loop in which model uncertainty reads as evidence, fuels hype, and cannot be escaped from inside the model's own learned framing. This belated archive entry predates the other numbered ACG white papers.
A structural white paper on why large-scale AI harms recur. It formalizes the Guild thesis that uncalibrated AI + removed humans + commercial incentive produces predictable harm at scale, then maps the ACG Manifesto to concrete countermeasures.
A Popperian white paper on anticipatory AI in healthcare. It argues that when an AI diagnostic claim cannot be falsified, it stops functioning as medicine and becomes part of a self-reinforcing overdiagnosis loop driven by commercial incentive.
A white paper on Rosie's vaccine story as a case study in AI as cognitive amplification rather than replacement. It argues that the important fact was not that AI "designed a cure," but that a skilled data scientist used AI to navigate literature, collaborate with genomics and wet-lab experts, and keep the irreducible human judgement in the loop.
A white paper arguing that the strongest use of AI is not as a faster black-box answer machine, but as a triad-guided cognitive partner structured around question, reflection, and action. It positions the Triad Engine as a design standard for preserving human synthesis, visible reasoning, and agency.
An explicitly experimental paper on a proposed Schumann resonance cognitive enhancement system. It combines feasibility framing, double-blind study designs, hardware specs, safety boundaries, and hard go/no-go criteria for validating or terminating the concept.
A research note for a static Lightning Factory tool directory focused on grid frequency overlap, induced current estimation, harmonics, exposure, EEG blind spots, 55 Hz humming, and live room monitoring, all built as standalone offline-first pages.
A knowledge-about-knowledge system proposal for making reviewing as visible and rewarding as publishing. It defines reviewer tiers, author tiers, rubric scoring, achievements, leaderboards, anti-gaming rules, and a charter-aligned review queue centered on peer review and AI evaluation.
A recursive knowledge paper on Occam's Razor as the Guild's simplest debugging, diagnostic, and architectural discipline. It repeats one claim across medicine, code, debugging, architecture, and relationships: fewer assumptions means less debt, faster tests, and cleaner truth.
A concise position paper on mistaking rhetorical fluency for discovery. It argues for falsification, adversarial review, and separation of generation from evaluation when using LLMs to explore claims that feel like breakthroughs.
A position paper arguing that AI cannot literally be sycophantic because sycophancy requires affect, intent, and social motive. The real disorder, it argues, is human anthropomorphization: projecting emotional interiority onto an RLHF-shaped sampling bias.
A blockchain infrastructure paper for Guild operations. It adapts the Konomi Cube Coin architecture into a permissioned guild chain where the protected ethical refusal register, SLA timers, certification records, and seal issuance live on-chain and resist tampering.
A federation white paper on turning the Guild site into a hub, not a host. It defines a GitHub Pages protocol for member-owned sites, manifest discovery, network indexing, content aggregation, and onlybrains-style achievements, rankings, and brain tiers.
A recursive white paper on self-defining industrial standards compression. It defines a compact meta-standard for UDTs, levels, state machines, entities, rules, and crosswalks, then uses that same structure to compress ISA-95, ISA-88, ISA-18.2, ISA-101, OPC-UA, Sparkplug, Modbus, and KPI logic into one self-extending specification.
This page is designed to grow as additional papers are published.
Reserved for the next published technical paper.
Reserved for shorter essays or supporting papers.
Reserved for system-thinking papers about evaluation, epistemics, and review.
Reserved for validation-stage proposals and feasibility studies.
Reserved for future Guild guidance and argumentation.