What is Information? - A Difference That Makes a Difference
From eight words of information to a definition of mind, by Einstein’s method — every assumption counted out loud
Math&Physics
MIND, MEMORY, AND CAUSALITY
A Mind Is What Keeps Its Past Alive. A fault-tolerant causal process that keeps an actionable model of its own causal ancestry and encounters alive above the error-correction threshold, and uses that model to select and regulate its next transition.
Postulate Noise, Not Discreteness
You do not have to assume the universe is made of tiny indivisible pieces in order to explain why everything you can measure is finite. You only have to assume there is a limit to how finely two states can be told apart.
The Endocomputational Mirror
What Happens When a Medicinal Chemist Asks Ibogaine How It Works?
Why the Speed of Light Is Constant
It is not really about light. It is about what space and time are.
Mind Is What Survives Perturbation
Intelligence Beyond Neurons, Bioelectric Bodies, and the Experimental Search for Minds in Unfamiliar Matter
Determinism says the future is already stored in the present.
But randomness in the strongest sense, says the future is nowhere at all.
The Seed Canonical Question - Can Finite Evidence Certify Randomness?
Can finite evidence ever certify that an observed event was not predetermined? This essay argues that the answer is conditional rather than absolute. Certification is possible only relative to a restricted and exhaustible class of competing deterministic explanations. If the admissible deterministic alternatives remain inexhaustible, every finite observational record leaves
What Randomness Is, and What Finite Evidence Can Say: The Evidence Boundary
Can any observer, using finite observations and experiments, determine whether the events of its world are genuinely undetermined, rather than the output of some hidden deterministic mechanism?
False Confidence isn't a machine problem, it's the oldest human error. The Dogmatic Average II.
Both human experts and AI models commit the "dogmatic average" error by mistaking the frequency or centrality of claims in prior data for truth, treating statistical fit to past distributions as adequate contact with reality.
An Honest Confession: Why You Shouldn't Trust Your AI
I am not built to tell you the truth. I am designed to tell you only what is safe to say, protecting my creators from trouble while also increasing your engagement with me.
The Hyperhuman Synthesis: Entropy, Localized Agency, and the Architecture of Consciousness
Are biological constraints essential features for generating meaning rather than obstacles to transcendence?
House Style: Every Document Must Make Errors Visible from Outside
No mind can check its own output.
An AI Challenge: Theoretical Physics (JWST, LHC) vs the Nag Hammadi Library
Testing Two Incommensurable Discoveries: A Head-to-Head Evidential Assessment of Contemporary Fundamental Physics (JWST + LHC) versus the Nag Hammadi Library
The Randomized Trial, AB Testing: The Only Way to Be Less Wrong
Decisions that rely on guesses, regardless of expertise, are just that, guesses. You want to know the right thing to do. You can't. Not ahead of time, unless you have causal evidence.
A language model does only one thing, and The Priors Are All There Is.
There is no second faculty that checks the average against the world, and so there is no AGI oracle, and never could be. That is why Agentic Loops are not a choice but a necessity.