Stop Using a Sledgehammer to Kill a Fly: The Case for Practical, Stratified AI | Utilizing AI Episode 48

And we're going to take a bit of an interesting angle here.

The point that we're going to make here is that you really don't need too much AI in your life.

Well, And by that, I don't mean you don't need AI, because frankly, it's inescapable.

It's 2026.

There's going to be AI everywhere.

But you don't need too much AI, too big AI, too strong AI.

Guy, this was your suggestion, so I'm going to let you kick this off.

Tell us, you don't really need too much AI, right?

Right.

We all don't need too much AI.

And I think there's two or three angles to this, any one of which we can talk about.

The first one is, to your point, Stephen, AI is inescapable.

But does that mean it needs to be everywhere? Do I really need to ask an AI bot where I should go shopping for shoes? Maybe it'll be helpful, but Maybe not.

So the frequency with which we use it, that's one angle.

Another angle is I think the main one that I had in mind, which is AI models continue to develop at a spanking pace.

We can definitely talk about why that is.

Alan, I think your book to some degree covers the forces that are racing us and accelerating us and this industry towards bigger and better and deeper and faster and blah, blah, blah models, that is another way of thinking of too much AI.

Maybe I do want to use an AI to figure out where to shop for shoes, but do I need to use the same AI that can also be used to vibe code an app that tracks all of my plants inside and outside and how they're doing by photos.

I mean, the same model, they do both.

That's kind of what we're doing now.

So that's really what I'm more interested in because it's from there that we are getting these forecasts of doom and disaster and so forth because these AIs are getting more and more capable.

Not more and more intelligent, please, but more and more capable.

So I'm going to take a different tack to both of you.

I think we could use as much AI as we could eat, right? I think, you know, like in Javan's paradox, the more AI we have to use, the more we're going to use it.

I think the real question here is, do I need a sledgehammer to kill a fly? Because what we're developing is stratification in our AI models.