mapping the crazy AI world

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.

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.

the kind of thinking being cheapened first is the kind that looks like language.

Which is the kind of thinking the thinking class sells.

The rise of generative artificial intelligence, as both a practical technology and a popular obsession, crystallises Big Tech’s cultural takeover. AI turns reading and writing into automated industrial routines, optimised for speed and efficiency. It instrumentalises intellect, allows the critical and creative work of the mind to be outsourced to... See more