TheSequence

How physical pretraining could change the way we teach machines to work

How interactive worlds turn model capabilities into reliable behavior

Meta expands its agent models as Jev and Liquid sharpen structured decisions

DiscoRL and the next level of recursive improvement.

Meta's Muse Wonder and Muse Spark Open, CoreWeave bonds drama and a spectacular bankruptcy.

Why learning to inhabit unfamiliar machines could matter more than building the perfect humanoid.

Why consumer agents, enterprise applications, and AI infrastructure can all become enduring businesses.

Reflection, EmbeddingGemma 2, and Mistral 4 take different paths toward more capable AI systems.

Inside OpenAI’s research automation—and the scientific judgment that still determines what happens next.

Reflection and Mistral expand the model race, TypeSafe and Arena raise the stakes, and OpenAI puts mathematical discovery under scrutiny.

Jev started a revolution. Now we are getting dozens of decision models

OpenAI and Google advance sustained execution—and make cost per completed task a more meaningful measure of progress.

An agent that opens its own source code and rewrites it now exists, and it works. What it chose to fix tells you more about self-improvement than any thought experiment ever did.

Inside OpenAI’s DevDay releases, Gemini 4 Argon, Meta’s enterprise ambitions, AMD’s World Labs deal, and Instinct’s billion-dollar round.

What grain electricity and freight reveal about compute markets

Cheaper agents, environments at massive scale, and a biological discovery reveal how AI turns capability into useful work.

Your agent got better this quarter and nobody trained anything. Where did the improvement go? Into the notes. This is the loop that runs between model releases, and it might be where the durable value

Smarter models, wearable agents, scientific discoveries, and superpower diplomacy reveal how quickly AI is moving into the world.

How text diffusion models rethink language generation—and the tradeoffs that will determine their future.

Three ways to turn model intelligence into working software