Vol. II · No. 156
Established 2025

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Friday, June 5, 2026
160 writers in the library
Tech · 1 shelves
Tech

AI Ascendant.

Gradient Ascendant — AI analysis through technical, cultural, and philosophical lenses.

Recent essays

24 of 24

Propositional Content

that ursine juggernaut isn't gonna bethink to sup on you by itself

On Rigor and LLMs

You may think LLMs are chaotic and nondeterministic. Oh, you sweet summer child.

Engineering Is The New Design

Meet the new boss, same as the old boss.

How to OpenClaw your Raspberry Pi

Carcipization rules everything around me.

Simulation, psychosis, and trajectory

Watch out for that Voight-Kampff-Dunning-Kruger test.

Moneyballocracy

"Predictions are hard, especially about the future" - Neils Bohr, possibly apocryphally

Of Agents and Agency

AI can't just do things (yet.)

Bubble, bubble, toil and trouble

GPUs burn and valuations double

Why 95% of AI Commentary Fails

In which I actually read the paper everyone is talking about.

Walter and other stories

An August grab bag of delights. Well, divertissements.

Where Is Your AI God Now?

Come on, Mary, don't fear the AI reaper.

Here Come The Drones

Little darling, I see a disconcerting future.

Join The Enthusiasts!

It's never too late to join us, but join us before it's too late.

2,000 Years of AI Doom

The last two thousand, not the next two thousand, to be clear.

Freaky Tales and Johnny Canuck

and the Splendor and Misery of Seeking, of Scarcity

AI is Worse Is Better

And for better or worse, Worse Is Better wins.

The interview is dead, long live the interview

Perhaps my most wildly implausible sci-fi concept yet: what if everyone didn't hate the hiring process?

Reinforcement, evolution, and automata

One must imagine Sisyphus rewarded.

Reflections on Exadelic

Guess who's back, back in paper.

Return of the Zizians

When I promised to write about "AI weirdness," this wasn't really what I had in mind.

What Is AGI?

This is my definition. There are many like it, but this one is mine.

Everything AI Is Old Is New Again

Corporate lessons from yesteryear.

Anthropological Intelligence

The dirty secret of most tech startups is that they are not actually tech startups.

Inconsistency as a service

LLMs are far from the first technology prone to frequent unpredictable errors.