The perfect Delegated Task is tedious, repetitive, or boring for humans but easy and efficient for AI.

Here’s a secret: we have long known how to supercharge education; we just can’t quite pull it off. Benjamin Bloom, an educational psychologist, published a paper in 1984 called “The 2 Sigma Problem.”1 In this paper, Bloom reported that the average student tutored one-to-one performed two standard deviations better than students educated in a

Principle 4: Assume this is the worst AI you will ever use.

We have already outsourced the worst part of writing (checking grammar) and math (long division) to machines like spell checkers and calculators, which freed us from these tedious tasks. It would be natural to use LLMs to extend the process.

There will be assignments where AI assistance is required and some where AI use is not allowed. In-school writing assignments on non-internet-enabled computers, combined with written exams, will ensure students learn basic writing skills. We’

Weights are complex mathematical transformations that LLMs learn from reading those billions of words, and they tell the AI how likely different words or parts of words are to appear together or in a certain order.

In study after study, the people who get the biggest boost17 from AI are those with the lowest initial ability—it turns poor performers into good performers. In writing tasks, bad writers become solid. In creativity tests, it boosts the least creative18 the most. And among law students, the worst legal writers19 turn into good ones.

For now, AI works best with human help, and you want to be that helpful human. As AI gets more capable and requires less human help—you still want to be that human. So the second principle is to learn to be the human in the loop.

Innovation comes from trial and error, which means that an organization trying to launch a new product to help a marketer write more compelling copy would need to build the product, test it on many users, and make changes many times to make something that works. A marketer, however, is writing copy all the time and can experiment with many