mapping the crazy AI world

It means a transition from a knowledge economy to an allocation economy. You won’t be judged on how much you know, but instead on how well you can allocate and manage the resources to get work done.

To the extent that writing creates a form of non-biological memory — an external system for storing symbolic information — to roughly the same extent, I think, many forms of AI constitute forms of non-biological attention, external systems for selecting, ranking, filtering, and reweaving fields of information around what's salient or important.

Contextual value is a measure of how crucial a task is to the performance or stability of a larger system. It’s not about whether a task is hard to do or emotionally meaningful; it’s about whether it is structurally indispensable to a system operating under certain constraints.

When constraints change, the contextual value of tasks in the system... See more

We are in an age of noise.

The frameworks that got us here, of jobs-to-be-done or product-market fit, will be insufficient going forward. For founders to have extraordinary outcomes, they will have to find alpha in markets that aren’t easily understood.

Which is to say, technology alone won’t be enough. The other essential ingredient will be taste.... See more

The AI handles the execution at scale while you maintain the coherence. This division of labor plays to the strengths of each party: humans are good at integration and judgment, while AI is good at execution and volume. The solo operator with AI gets the benefits of scale without the costs of coordination.

In an attention-scarce and knowledge-abundant economy, we’re increasingly buying signals, not inherent expertise.