Premise¶

AI can give individuals and small teams more capability. It can also reduce the study time needed to make a first serious attempt at some technical tasks.

The effect is uneven. Physics, biology, measurement, data, hardware, tacit skill, manufacturing, regulation, capital, and institutions still constrain many outcomes.

A useful curriculum can therefore emphasize foundations that better AI tools are likely to amplify. It should also preserve domain expertise and the humanities needed to judge evidence, choose goals, understand people and institutions, and decide what to build.

Evidence test¶

The Frontier 100 is a dependency check. A subject receives more weight when it appears across many routes, such as autonomous science, robotics, fusion, materials, regenerative medicine, neurotechnology, and space industry.

Scope¶

This repository proposes emphasis and sequence. It does not predict when a technology will arrive. It does not replace laboratory work, apprenticeship, or a full university degree.