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Chat, Code, Agents, Harnesses, CoWork: Which one for What?
Code Is for When You Know Where You Are Going. AI modes explained for for anyone who's tested them all and still isn't sure which box to use.
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.
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
Entropy, explained the way you’d tell it to a friend - Part II
You need no book beyond this page. You need no fact you do not already have. You need a pencil and one sheet of paper at the end.
Distance May Be Made of Entanglement
Can Entanglement Build Space, Time, and Gravity?
We still do not know what is the passage of time.
What does a clock actually measure? We understand elapsed time with extraordinary precision. We understand part of time’s direction. We do not know whether the passage of time is a fundamental feature of reality, an emergent feature of physical records, or no additional physical process at all.
Chaos manufactures no information; it excavates the infinite remainder
Finite remainder, finite future. QUESTION. A chaotic system obeys one simple rule, and no one can predict its future. New bits arrive at every step. Where do they come from?
THE WOLFRAM MODEL OF SPACE, TIME, AND THE RULIAD.
Structure: the microscopic steps are reversible; the computation hides the simple initial condition; the bounded observer cannot recover it; the observer sees randomness; entropy increases for that observer. This is Boltzmann coarse-graining, written in computational words.
Could an LLM have helped Einstein develop General Relativity?
Yes, and the interesting part is where.
