top of page
CONVERSATION
Search


The Missing Algorithmic Separation Of Powers
We have spent much of the AI governance debate asking what artificial intelligence should be allowed to do. I believe there is a prior question we have not examined closely enough: what makes algorithmic power legitimate? Montesquieu’s warning about concentrated power was written for political institutions, not algorithms. Yet the principle behind it has surprising relevance to AI. When the same organization can effectively design an algorithmic system that fuses rule-making,

Hamilton Mann
Sep 271 min read


Coxon’s AI Warning Is Mainstream. Now What?
or the past seventy-five years, AI warnings have repeatedly gone mainstream while the approach capable of answering them has remained largely invisible. Beneath all these warnings lies one simple issue, always the same: not intelligence, but power. Algorithmic or otherwise, power must be separated, and ultimately encounter power, if it is not to become absolute and irreversible.

Hamilton Mann
Sep 271 min read


What Rules AI Agents
Tell me what you buy, and I’ll tell you who you are. Agentic commerce could proceed from that premise. AI agents are increasingly acting on behalf of consumers, with agentic commerce projected to reach trillions by 2030. This shift raises concerns, particularly in one sector that may not be the first to come to mind, beauty and fashion. Optimized to learn from what we desire, what we can afford, what we fear missing, AI agents in commerce are machines built to understand who

Hamilton Mann
Sep 261 min read


From Whom Does AI Learn Its Way Of Seeing The World
What artificial intelligence lacks, and what few if any benchmarks truly formalize or meaningfully penalize, is integrity. While others are racing toward more artificial intelligence within artificial intelligence itself, the real challenge of our era is the race toward more Artificial Integrity over intelligence. Check out the full article on Forbes

Hamilton Mann
Sep 241 min read
bottom of page