Co-Intelligence: Living and Working with AI

by Ethan Mollick

So let’s consider what it takes to build expertise.

First, it requires a basis of knowledge.

In other words, to solve a new problem, we need connected information, and lots of it, to be stored in our long-term memory.And that means we need to learn many facts and understand how they are connected.

After that, we have to practice.

Experts become experts through deliberate practice, which is much harder than merely repeating a task multiple times.

Instead, deliberate practice requires serious engagement and a continual ratcheting up of difficulty. It also requires a coach, teacher, or mentor who can provide feedback and careful instruction, and push the learner outside their comfort zone.

elements of challenge, feedback, and incremental progression, is the true path to mastery.

When Everyone Is an Expert

have been making the argument that expertise is going to matter more than before, because experts may be able to get the most out of AI coworkers and are likely to be able to fact-check and correct AI errors. But even with deliberate practice, not everyone can become an expert in everything.

AI AS OUR FUTURE