Blakeist

Every company must learn to turn the traces of its work into durable capability—or become training data for one that does.

Long-running agents will cross human roles, collide with other agents, and produce the traces that train their successors.

Agents will become the internet's largest operational customers.

Speed is not the reward for skill—it is the thing that builds it.

Commerce spent decades persuading humans.

Capability used to be hired.

Every technology in history has flown trajectories inside physics we accept as given.

The model was the engine.

The internet is full of doors that assume a person is on the other side.

A jar doubles every minute and is full at noon.

Every institution is a machine for making you legible.

The world can change in a week now.

What got you here won't always get you there.

Static permissions break at ten thousand steps.

Software is learning to drive itself.

Choosing quality over velocity, form over rank, and refusal over optimization.

If all your code was deleted tomorrow, would you be okay?

We build intelligences capable of solving problems that exceed our cognitive reach, and we ask them to plan our vacations.

While you're in your third meeting debating whether to prioritize the feature, a team of two just shipped it.

Three signals point to a future where health becomes continuous: ChatGPT Health as a daily interface, SleepFM predicting disease from sleep patterns, and AI systems taking bounded clinical actions.

When AI gains access to both people affordances and machine affordances, it doesn't just add capabilities—it multiplies them.

Here's what's actually shocking about GLP-1s: they work by making the entire behavioral apparatus of weight loss obsolete.

The limiting factor shifts from cognition to governance and economics.

Why the future of human-machine interface is already wired to our biology.

People cannot see their own transformation.

Every week brings a new model release.

Most advice about work describes how work should behave, not how it does.

Experienced developers are getting slower with AI tools, not faster.

I stood in front of Man Ray's rayographs at the MoMA this fall, studying the ghostly white silhouettes floating against dark backgrounds.

TradTech opens the fridge and asks what can we make with what we have?

Every company is building an AI strategy by asking, "What can we add?"

Pharma marketing has spent two decades optimizing the wrong bottleneck.

ChatGPT hit one billion users in three years.

Your context engineering isn't an implementation detail.