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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


Mathematics Does Not Define The World
Mathematical models are often treated as if they were neutral instruments. They are presented as disciplined, objective, accurate and insulated from human subjectivity. In management, finance, public policy, and now artificial intelligence, mathematics is frequently invoked as the language that removes ambiguity and replaces opinion with fact. But this is misleading. Mathematics can formalize a worldview with extraordinary precision. It can make decisions consistent, scalable

Hamilton Mann
Sep 211 min read


Trias Algorithmica: What Code Rules
More and more voices around the world are acknowledging our algorithmically mediated reality. Reality is to say that algorithmic systems are algorithmic power. The legitimacy we never questioned In March 2023, the Future of Life Institute and thousands of signatories, including Yoshua Bengio, Stuart Russell, Yuval Noah Harari, and Steve Wozniak, called for a six-month pause in training AI systems more powerful than GPT-4. This asks for the power to pause. Later that year, Dar

Hamilton Mann
Aug 298 min read


Bill Gates Is Wrong About The Remedy
Gates is wrong to suggest that the world needs institutions capable of governing AI. Any institution created to govern power acquires power of its own and, like any power, tends toward self-preservation and expansion, ultimately organizing itself around its own continuity rather than merely constraining the power it was created to govern. What the world needs first is Trias Algorithmica. Just as Trias Politica separates rule-making, executive, and adjudicative powers, we now

Hamilton Mann
Aug 271 min read
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