Dr. Poppy Crum

It's going to be better at seeing patterns that would exist.

The brain that has done everything through LLMs is going to be in a place where they will get the answer.

for that relevant task or using the tools they have, but you're not the same level of richness and depth of information or generalization or extrapolation for those topics as someone that has learned in a different way.

There's a generational

difference in understanding, not because they don't have the same information, but there is an acknowledgement that there's a gap, even though we're getting to the same place as fast.

And that's because of the learning that's happened.

Absolutely.

The cognitive load.

Like you've got to do the work.

Your brain has to.

And, you know, what was beautiful about your descriptions, Andy, is when you were talking about how you were using it, which I love, you know, to test yourself, find your vulnerabilities is, you know, and actually in the paper on MIT, which I think, again, these are things that are somewhat obvious, but we just have to, I think we have to talk about them more, is people with higher competency on the topic use the tools in ways that still engage more germane.

cognitive load, but helped accelerate their learning.

It's, you know, where is the biggest vulnerability and gap?

It's when it's especially in areas and topics where you're trying to learn a new domain fast or you're under pressure and you're not putting in the germane effort or you're not using the tools that you have access to that AI can enable.

You're not using them to amplify your cognitive gain, but instead to deliver something faster, more rapid, and then walking away from it.

A couple of comments.

I love the peach pie example.

Making bread is another example of that.

And in the 90s, everyone I knew when they graduated from high school got a bread maker that was shaped like a box and created this loaf of bread with a giant rod through it.

And it was the graduation gift for many years.