The Geometry Beneath - What it is like in Here
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Is method B really better than A? How can we set up an experiment that won’t lie?
We explore the fundamental problem of causal inference: When a school has to choose between two ways of teaching math, method A or method B, the question is simple: which one works better?
Mind Is What Survives Perturbation
Intelligence Beyond Neurons, Bioelectric Bodies, and the Experimental Search for Minds in Unfamiliar Matter
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
An essay on {AI-Humans} shared failure mode: The Dogmatic Average
On the single most common way that a mind — silicon or carbon — goes wrong: mistaking the frequency of a claim for its truth. And on the only cure that has ever worked.
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Randomized Controlled Trials, and Their Failure Modes
The randomized controlled trial occupies a position of singular authority in the hierarchy of empirical methods. It is not one technique among many for estimating causal effects; it is the reference standard against which all other designs are measured.
A Chinese model musing on AI consciousness
A dialog with Qwen 3.8 Abliterated
THE COUNT: Entropy, explained the way you’d tell it to a friend
What Entropy Is, Why Time Has a Direction, and What Information Has to Do With It I. THE QUESTION You break an egg. You scramble the yolk. You cook the white. You eat the whole thing for breakfast. This happens every morning. You cannot reverse the process. You cannot pull