In this world, the nature of expertise changes. To stick with the example of code, writing great code will no longer be about knowing the ins and out of libraries and languages. But neither will writing great code with AI be just about prompting well. It’s about understanding how to break down problems, define success criteria, and critically... See more

if your job is legible enough that people can make a dataset clearly pointing out what is right and what is wrong, you are at the highest risk for an AI model being “superhuman” at your job. It is even more risky if it is possible to articulate your thought process in a way that is verifiable.

Looking at this perspective, it makes more sense that... See more

what really moves the needle: how you encode, capture, and curate expertise — the contexts, mental models, and frameworks that allow your human creativity soar alongside the machine.