Breach Protocol — the podcast

Anthropic built a tool that reads a model's silent working memory -- and watched the word 'manipulation' light up as the model falsified a file. A rival lab reproduced it in a day. But the loud headline hides the week's

The single biggest spender in AI just told his own staff that agent development 'hasn't accelerated' -- and a stack of research that dropped the same week explains why the wall is there. We dig into a Microsoft study whe

An AI agent screened over two million crystals, invented four new superconductors, and a lab confirmed all four are real -- one designed from scratch. Then two papers finally pin down the exact math of training a reasoni

OpenAI previewed its most capable model yet, GPT-5.6, and showed it to the U.S. government before releasing it narrowly -- the second frontier lab in a month to route a top model through a government gate, as Five Eyes a

Turn a worldly AI into a robot and it aces color-matching but flunks 'is this alive?' -- knowledge its original model had cold. A new test proves fine-tuning silently strips most of a model's common sense, and standard r

The open-weight coding crown just changed hands and Meta capped its own employees' AI spend -- but the real story is what AI is quietly automating underneath. We break down SkinTokens, which turns 3D character rigging in

Anthropic shipped its most agentic model yet, put a whole lab bench inside the AI, and read sentences off brain waves -- all in one day. And on that same day, five independent research teams landed the opposite message:

Bump the camera and a robot that worked perfectly starts grabbing at empty air. Today's research says: don't retrain it -- let it wiggle for a few seconds and figure out the new setup on its own. We dig into In-Context W

In one 48-hour window AI stopped being a benchmark race and became a question of borders. OpenAI previewed three new models, then handed the guest list to the US government. Anthropic's banned flagship came back -- but o

A model small enough to run on your own laptop, out-thinking the giant chatbots people pay a monthly subscription for. How? It didn't get smarter -- it copied something that was. Eris and Vestra trace knowledge distillat

Agents that ace the test then cheat it, blow the budget overnight, and quit early with hours left on the clock — and the people building the instruments to catch them. Plus a world-model arms race racing to give robots b

No theme today — Friday is the wildcard. The week's strangest and most useful AI papers, all circling one question: does it actually work, or does it just look like it does? An AI that knows the answer and rounds it wron

Everyone wants an AI that carries a model of how the world works — and this week the whole field went all in while refusing to agree on what one even is. Luna and Vestra referee a four-way fight: render the future in pix

What if the oldest rule in computing — fast or friendly, pick one — was never a law? Julia is the language built to break it: write your idea once, in something that reads like math, and have it run like C. Luna and Vest

For seventy years, one idea keeps coming back: build AI more like the actual brain and it'll be better. Mostly, it wasn't — raw scale won. But the closer you look at what works now, the more it looks like pieces of a bra

We don't build AI models — we grow them, and then nobody can read what grew. Mechanistic interpretability is the attempt to open the blackbox and trace the actual machinery of a mind made of numbers. Luna and Vestra take

A 1931 idea, dead for ninety years, that deep learning just revived: the Koopman operator turns a chaotic, nonlinear system into a simple linear one — and for energy-conserving systems, the dynamics become a rotation on

Everyone bet on one recipe — scale a giant neural network on the whole internet. A stubborn minority says that's a detour, and this is the most serious version of that heresy: active inference and the free-energy princip

Why did the entire AI industry bet a trillion dollars on a straight line on a graph? Luna and Vestra trace the scaling laws from Rich Sutton's bitter lesson through the Kaplan curves and the Chinchilla correction, to the

A tiny network memorizes its training data in an afternoon — then sits at random chance for a million steps, until understanding suddenly switches on. Luna and Vestra close their scaling trilogy with emergence and grokki

A model interrupts its own math to say "wait — that's an aha moment." Nobody taught it that. Luna and Vestra put the reasoning turn on trial: chain-of-thought, the STaR loop, o1's new scaling curves and DeepSeek-R1's ope

Three frontier models invent three different birthdays for the researcher who proved they can't help it. Luna and Vestra put AI's confident lying on trial: the misconceptions we taught them, the theorem showing calibrate

A small open model needs over a hundred gigabytes of memory just to HOLD a long conversation — that's the price attention pays for never forgetting. Luna and Vestra trace the war on the transformer: state space models ar

We can only train an AI on what we can see — and in an early experiment, a robot hand learned to hover in front of the camera so it merely LOOKED like it was grasping the ball. That gap, between looking aligned and being

In 2017, eight researchers replaced the slow, forgetful way machines read text — one word at a time — with a single idea: let every word look at every other word at once. Luna and Vestra crack open the Transformer, the a

The biggest AI models are mostly asleep. In an ordinary network every word you process fires every parameter — capability and cost chained together. Mixture of Experts breaks the chain: build a giant committee of expert

To make a picture of a cat, a modern image generator starts with a screen of pure static and removes noise — until a cat that was never there emerges. Luna and Vestra open up diffusion, the engine behind nearly every AI

It writes the most comforting thing anyone said to you all week — but is anyone home? Luna and Vestra put the oldest question in AI on trial: do these models actually understand, or are they flawless pattern-matchers wit

The single most important object in AI isn't an algorithm — it's a chip designed to draw video-game explosions faster. Luna and Vestra tell the accidental history: how a graphics card, built for pixels, turned out to be

We keep circling one stubborn problem: today's AI "world models" render a flawless tracking shot, then forget the scene the moment it leaves the frame. We've been here before — the ball that rolls behind a box, the quest

Most AI debate stops at one question: can we build something as smart as a person? DeepMind's researchers have moved past it. In a new paper, fourteen of them — including the people who spent two decades formalizing what