· 4 min read

Hitting the Cognitive Gym

AI makes things easy. And that's the problem.

Hitting the Cognitive Gym

I recently came across a great ​How I Write podcast episode​ where David Perell interviewed Ezra Klein about his approach to using AI in the writing process.

In the interview, Ezra said something that I completely agree with:

"I’m not saying AI can’t be useful or that it won’t be useful, but I think I’m pretty against shortcuts."

In this post, I want to unpack why those shortcuts aren’t always beneficial (especially in the writing process) and consider where AI fits in intentional creative workflows.

The Laziness Bias

A long time ago, life was hard. Really hard.

If you wanted to go somewhere, you had to walk. If you wanted to eat, you had to hunt or forage for food. Not to mention that life-threatening danger could appear anywhere.

Over time, the human race evolved. We banded together to create a sense of safety. We invented tools to make our work easier. And we had more discretionary time to do fun things besides trying to survive.

As a result, we got lazy.

That’s not necessarily a bad thing. We’re naturally wired to seek the path of least resistance. But it is a slippery slope, and if you take it to the extreme (like the humans in WALL-E), this laziness bias can have some pretty severe consequences.

A scene from WALL-E where the humans are cruising around the ship in their lounge chairs.

This is what I see happening with the way many people use LLMs. I came across an MIT study last week that found the same thing, showing “ChatGPT users had the lowest brain engagement and consistently underperformed at neural, linguistic, and behavioral levels” over the course of several months.

But that doesn’t mean we should avoid it. It just means we should be intentional about how we actually use it.

The Value of Doing Hard Things

Even though life has generally gotten easier (we’re not worried about getting eaten by sabre-tooth tigers on our commutes anymore), there are contexts where we humans recognize that things being hard can actually be a benefit.

One of those is the area of physical exercise.

We no longer need to get 20,000 steps in every day in our daily search for food. But that doesn’t mean we don’t see the value in exercise.

In fact, the personal fitness industry is estimated to be worth over $45 billion!

But if we don’t need to run or lift heavy weights, why do we do it?

Because there are other, more important, benefits that come from doing hard things.

The Cognitive Gym

In ​Focused episode 196​, I got the chance to interview cognitive neuroscientist Maryanne Wolf, and we discussed the cognitive benefits of reading physical books. The TL;DR - reading a physical book impacts your brain differently than reading from a screen.

Yes, it’s less convenient. Yes, it feels like more work. But that can actually be a good thing.

For example, I’ve long said that “reading” audiobooks is not actually reading. The audio keeps advancing without you having to wrestle with the message.

It’s like going to the gym and not putting any weight on the bar. Yes, it’s easier, but that’s missing the point. The resistance is the very thing that causes us to grow.

The ability to look past the immediate outcome and consider the long-term effects is called second-order thinking. It’s important for understanding cause-and-effect and making better strategic decisions.

Second-order thinking is the thing that allows you to push past the temporary discomfort so you can realize the long-term gains. It's what helps you think about the future and do the hard thing.

So, when it comes to how the human race is trying to navigate this AI age, my general advice:

Resist the path of least resistance.

For me, that means that I’m not going to use AI to write.

I do use AI in the ideation process. But there’s value in the struggle.

For me, that’s the equivalent of hitting the cognitive gym. And the juice is always worth the squeeze.

Where Does AI Actually Fit?

The bottom line: AI is a tool. And just like any other tool, it has no intrinsic value. It’s not good, it’s not bad. The value comes from how we use it.

Here’s how I’m using AI currently in my day-to-day workflows:

The trick is (and has always been) to figure out for yourself what’s still worth struggling with.

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