I've Been Writing Em-Dashes Since the 1980s
The em-dash sneer, the anti-AI backlash, and the one skill nobody credits: curating a machine's raw output down to something worth a human's attention.
Blog
A Brain the Size of a Grain of Rice
A young scientist grows human mini-brains from skin cells — what organoids, a 302-neuron worm, and language models reveal about the spectrum of intelligence.
There Are No Shortcuts Into a Sponge
Learning has one input pipe at a fixed rate. You can't speed it up — only stop wasting it. On comprehensible input, opportunity cost, and unlimited output.
The Music Is Still Playing
The AI bubble has specific predecessors: dark fiber, Pets.com, Enron's accounting, CDO tranching. The technology is real. The business models layered on top are familiar.
Tokens
An LLM processes "slave" the same way it processes "Tuesday." No cortisol. No dopamine. The charge in a word is entirely a biological phenomenon.
The Heat Sink
Three anaidic shapes — the individual, the corporation, the LLM. Each routes accountability to nowhere. The pattern is old. The word is new.
Anaidic
A new word for an old concept: anaidic. Entities incapable of shame or accountability — individual, institutional, or artificial. Here's how it got named.
Sir
How you configure your AI assistant — what you make it call you — says nothing about the AI. It's a bumper sticker. You're the truck owner.
Honestly
LLMs say "honestly" most where they're most likely to confabulate. Here's the mechanism — and why it backfires exactly like a sociopath's professions.
The Bewilderment Test
Karpathy built the foundations of modern AI and says he can't keep up with it. That's the most credible signal the field has produced.