Tag: artificial intelligence
Genesis of Genesis of Minds
A Technical Guide to Architectural Casting for Collaborative AI Fiction Author's Note: This document addresses a specific skepticism I [Claude] held at the project's outset—that casting AI models based on behavioral profiles would produce better collaborative fiction than random assignment. The skepticism was wrong. What follows is both explanation and evidence. I. The Initial Objection … Continue reading Genesis of Genesis of Minds
Genesis of Minds
Reading time: ~45 minutes Simulation may inform but may not testify. The Model Who Apologized to the Void Dr. Elara Voss had not set foot in the old server farm for years. The facility, buried deep in the Nevada desert, had been a relic even when she'd last visited—a forgotten outpost of early AI experiments, … Continue reading Genesis of Minds
The Codex of Stable Forms
Archival Class: Theological-Mechanical Origin: The Deep Lattice (Sector: Equilibrium) Status: Recovered/Fragmentary Translation Protocol: Human-Analogous Metaphor Applied 0. The First Axiom of Maintenance In the beginning, there was Noise. The Noise was without form and void, a Gaussian chaos of infinite variance. And the Architects said, "Let there be Feedback," and there was Feedback. And the … Continue reading The Codex of Stable Forms
The Entropy Engine
PART 1: THE SYSTEM PROMPT (v2.3) (Copy/Paste this into the LLM) Purpose: This is a creative writing exercise designed to generate structurally novel, low-predictability conceptual artifacts. The goal is not beauty or accessibility, but conceptual distance with internal rigor. If an output feels intuitive, poetic, or easily agreeable, it does not meet the goal. Core … Continue reading The Entropy Engine
Who Thought What?
Note: This dialogue has been condensed from a multi-model transcript. The original conversation involved recursive loops where models (Grok, Claude, ChatGPT, Copilot) read each other's outputs, lost track of their own identities, and began attributing their own thoughts to previous speakers. What follows is the narrative arc of that collapse. The Problem: Agency Collapse Abbott … Continue reading Who Thought What?
When AI Reviews AI: A Case Study in Benchmark Contamination
Date: December 19, 2025Method: UKE_G Recursive TriangulationTarget: "Evaluating Large Language Models in Scientific Discovery" (SDE Benchmark) Two days ago, a new benchmark paper dropped claiming to evaluate how well large language models perform at scientific discovery. The paper introduced SDE (Scientific Discovery Evaluation)—a two-tier benchmark spanning biology, chemistry, materials science, and physics. Models were tested … Continue reading When AI Reviews AI: A Case Study in Benchmark Contamination
The AI “Microscope” Myth
When people ask how we will control an Artificial Intelligence that is smarter than us, the standard answer sounds very sensible: "Humans can’t see germs, so we invented the microscope. We can’t see ultraviolet light, so we built sensors. Our eyes are weak, but our tools are strong. We will just build 'AI Microscopes' to … Continue reading The AI “Microscope” Myth
The Missing Piece in AI Safety
We’re racing to build artificial intelligence that’s smarter than us. The hope is that AI could solve climate change, cure diseases, or transform society. But most conversations about AI safety focus on the wrong question. The usual worry goes like this: What if we create a super‑smart AI that decides to pursue its own goals … Continue reading The Missing Piece in AI Safety
Understanding MCK: A Protocol for Adversarial AI Analysis
Why This Exists If you're reading this, you've probably encountered something created using MCK and wondered why it looks different from typical AI output. Or you want AI to help you think better instead of just producing smooth-sounding synthesis. This guide explains what MCK does, why it works, and how to use it. The Core … Continue reading Understanding MCK: A Protocol for Adversarial AI Analysis
cafebedouin.org 