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
Zuihitsu, 2025-11
These aren’t polished essays or tidy aphorisms. They’re scraps I’ve carried around this month—half-heard thoughts, borrowed lines, sudden recognitions—that refused to be forgotten. Zuihitsu literally means “following the brush,” and while my version is shorter and scrappier than the classical form, the impulse feels the same: to catch what drifts across the mind before it … Continue reading Zuihitsu, 2025-11
Why You Can’t Win That Internet Argument (And Shouldn’t Try)
We have all been there. You are in a comment section or a group chat. Someone says something that isn’t just wrong—it’s fundamentally confused. Maybe they think an AI chatbot is a conscious person because it said "I'm sad." Maybe they think they understand war because they play Call of Duty. Maybe they think running … Continue reading Why You Can’t Win That Internet Argument (And Shouldn’t Try)
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
Fading by Elijah Fox
The Fuck You Level: Why Americans Can’t Take Risks Anymore
There's a playground in the Netherlands made of discarded shipping pallets and construction debris. Rusty nails stick out everywhere. Little kids climb on it with hammers, connecting random pieces together. One false step and you're slicing an artery or losing an eye. There's barely any adult supervision. Parents don't hover. Nobody signs waivers. American visitors … Continue reading The Fuck You Level: Why Americans Can’t Take Risks Anymore
The Fuck You Level: Why America Can’t Take Risks Anymore (Extended)
The Speech In The Gambler (2014), loan shark Frank explains success to degenerate gambler Jim Bennett: You get up two and a half million dollars, any asshole in the world knows what to do: you get a house with a 25 year roof, an indestructible Jap-economy shitbox, you put the rest into the system at … Continue reading The Fuck You Level: Why America Can’t Take Risks Anymore (Extended)
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
What Will History Say About Us? (Wrong Question)
Someone on Twitter asked ChatGPT: "In two hundred years, what will historians say we got wrong?" ChatGPT gave a smooth answer about climate denial, short-term thinking, and eroding trust in institutions. It sounded smart. But it was actually revealing something else entirely—what worries people right now, dressed up as future wisdom. Here's the thing: We … Continue reading What Will History Say About Us? (Wrong Question)
The AI Paradox: Why the People Who Need Challenge Least Are the Only Ones Seeking It
There's a fundamental mismatch between what AI can do and what most people want it to do. Most users treat AI as a confidence machine. They want answers delivered with certainty, tasks completed without friction, and validation that their existing thinking is sound. They optimize for feeling productive—for the satisfying sense that work is getting … Continue reading The AI Paradox: Why the People Who Need Challenge Least Are the Only Ones Seeking It
Gay Byrne’s Christmas Fruit Cake Recipe
What Did the Buddhist Say to the Hot-Dog Vendor?
“What did the Buddhist say to the hot-dog vendor?” “Make me one with everything.” And then, somebody’s later addition… The hot-dog vendor makes him his hot-dog with all the trimmings, and says, “That’ll be $7.50.” The Buddhist reaches into his saffron robes, extracts a $20 note, hands it over, and starts eating. The vendor turns … Continue reading What Did the Buddhist Say to the Hot-Dog Vendor?
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