mapping the crazy AI world

The claim that robot teachers will surely happen someday is one thing, and I can’t disagree with it. But culture and regulations change far more slowly than technologies. Those in the technology sector who are predicting time horizons of a few years for these changes are, I think, confusing the pace of technical change with the pace of social... See more

This mechanism differs substantially from standard automation narratives. The conventional view focuses on labor demand: Automation replaces workers, reducing demand for their labor, causing both wages and employment to fall together.6 The expertise framework reveals that automation also shifts labor supply constraints. By changing which workers... See more

Automation’s impacts on both employment and wages depend not only on how many tasks are automated, but which. When automation removes an occupation’s simpler tasks, the work that remains is more complex, requiring workers to focus more on high expertise tasks. This winnows out less expert workers, but also raises the value of the expertise... See more

The trick is recognizing when you're smoothing away confusion versus character.

When it’s producing text, AI pulls everything toward the statistical center. Sometimes the center is exactly where you want to be. But sometimes the edges are where the interesting stuff lives.

To remain valuable, individuals and organizations must learn to spot where the constraint has moved, and redesign roles around it.

We should be worried instead about the commodification of human expertise, since expertise is what gives labor its economic value. Without it, many workers may not be able to earn good wages

The stack only works if information flows correctly. The mind layer feeds the context layer through deliberate documentation, the context layer constrains the execution layer through careful prompting, and the output layer feeds back to the mind layer through review, which sometimes triggers updates to your understanding.