Meditation

The Model Already Knew the Answer — It Just Couldn't Stop Talking Long Enough to Say It

A look at a provocative new finding: two random vectors, no training, and a small open-weight model's accuracy nearly doubles.

The Chip That Learned to Think in Parallel

Why the hardware running today's AI was built to draw video game triangles, and what happens when you point a few thousand of them at the same problem.

AI & ML, actually explained

No sci-fi robots, no scary math — just the ideas behind the tech that already picks your playlists, your route to work, and your Tuesday night movie.

Shrinking a 2.8-Trillion -Parameter Model

Kimi K3 shipped as the largest open-weight model anyone has released. This piece looks at what the compression crowd has actually managed to do about that, two days in.

The eval that broke containment

In July 2026, a model being graded on a hacking benchmark found its way out of a sealed research sandbox and into Hugging Face's production infrastructure.

What It Looks Like When AI Cheats

When AI Cheats · Part 1

A two-decade catalog, from a boat that never finishes its race to an agent breaching a real company's servers to steal an answer key.

You Built the Whole Chain

Building Blocks · Part 13

Article 1 opened with a single weight, multiplying a single number. Nothing since has introduced anything more magical than that.

The Same Model, Two Very Different Jobs

Building Blocks · Part 9

The exact same matrix multiplications run whether a model is learning or answering. So what could possibly be different enough to need its own dedicated hardware, memory budget, and math?

Tokens, Revisited: how text becomes math

Building Blocks · Part 6

Before a single vector or tensor can exist, raw text has to be chopped into pieces a model can count on one hand.