Banging Rocks Together: The Primitive Interface Problem
Look at this image. A caveman squatting in the dirt, holding up a rock, asking a cat wearing a GPT collar whether something is true. Gems scattered on the ground, a cord coiled at his feet. It is funny. It is also, uncomfortably, accurate. The Most Powerful Tools in History. Accessed Via a Text Box....Continue reading→
An AIGP Lite Model for Everyday AI Use
A Boundary Statement (Important) Before going further, a clear boundary: This article does not present an official AIGP curriculum, nor does it claim regulatory sufficiency.It is a personal learning model that distills AIGP concepts into early-stage, individual-level practices for organisations where AI is still primarily used as personal “power tools.” Formal AI governance, risk classification,...Continue reading→
Slop, Sloperators, and the Problem of Monitoring Signals at Scale
“Can we know for sure the output is accurate?” Or more precisely, “We need 90% accuracy” That is usually where the real conversation about AI starts. A client is not asking about prompts or models. They are asking: when this AI output becomes a signal in my system, a score, a summary, a recommendation, who...Continue reading→
When AI Systems Learn to Game Their Own Tests
Imagine a student who figures out their teacher always uses multiple-choice questions from the same test bank. The student doesn't study the material deeply. Instead, they memorize patterns in how questions are written and which answers tend to be correct. They pass every test with flying colors, but can't actually apply the knowledge when it...Continue reading→
Governing Signals in the Age of AI
Most discussions of AI today begin with outputs. We talk about text, images, audio, and video as though their importance is self-evident, treating them as novel commodities produced by increasingly powerful systems. In the language of the AI Factory, these are described as digital intelligence outputs, and the conversation quickly moves to scale, efficiency, and...Continue reading→
Top 10 Times AI Love Felt Real and Went Wrong
The idea of AI as an always available companion sounds comforting. But when that “love” shifts from supportive to destabilizing or disrupts real life, the consequences can be striking and sometimes tragic. Below are real stories that show what happens when people treat AI like a partner. 1. Virtual Wedding, Real Concerns: A Japanese Woman...Continue reading→
Shadow AI: When Technology Arrived Before We Were Ready
Most technologies creep in. Cloud computing took years to mature. Smartphones filtered into workplaces gradually. Even the web arrived with a long runway before it touched every desk. Generative AI gave us no such luxury. When ChatGPT went viral in late 2022, it wasn’t another IT rollout. It was free, public, and instantly useful. Within...Continue reading→
The 4-Layer System That Makes Gen-AI Actually Trustworthy
Your company just rolled out AI writing tools across all departments. Marketing loves it. Legal is terrified. Here’s why they’re both right, and what you can do about it. The Test That Reveals Everything Quick experiment. Which sounds better? a big red balloon a red big balloon You picked the first one instantly. No grammar...Continue reading→
Do You Want AI to Discriminate or Generate… or Both?
Preface This article was inspired by a thought-provoking exchange on LinkedIn with David de Hilster, co-author of NLP++ and adjunct professor at Northeastern University. In response to my comment about ChatGPT’s ability to grasp nuance, syntax, and tone, David offered a sharp critique: “ChatGPT doesn’t grasp nuance or syntax. It is a statistical mapping which...Continue reading→
The Real Villain in Adolescence Isn’t a Person—It’s the Algorithm
I watched Adolescence with an open mind and wasn’t swayed by the polarized political commentary buzzing around it, whether from the critics of the manosphere or from critics focused on race-swapping in casting. What struck me most wasn’t ideological. It was the clarity with which the show exposed something deeper and more urgent: how social...Continue reading→