Drag the dots to estimate AI capability at the end of each year. Adjust importance to reflect each category's weight in the aggregate. The aggregate curve updates live.
For clarity, the x-axis is the AI capability within that category ("How good is the model at doing X?"), and the y-axis is the improvement in AI capability that you expect to result from having the AI model help with training. The axes do not have scales, because the useful thing to get from this exercise is whether we are nearing or past the peak rate of change within each category, but it might be helpful to think of the axes as being log-log scaled.