Cal Newport

That's what we were told from the beginning.

LLM sweet spot.

And we're getting these custom tools...

Custom tools and programming, which are these like complicated coding harnesses and custom tools and mathematics, which are these modular architected sort of proof exploration systems.

And they're making a difference.

And I actually think that's exciting.

It also, by the way, vindicates my vision.

of what you could call either distributed AGI or narrow AGI.

This idea that the only people who believe that we're going to just keep scaling these massive models, these singular LLMs until they're HAL 9000, that you can just build lightweight harnesses on top of them to do everything.

are the AI companies that want that to be their moat.

But that the future of AI is going to be bespoke systems with modular architectures that are tuned to particular problems, types of problems or domains, with a lot of input from people in that field that do really well in those domains.

That is the future of AI.

I really like that future of AI, by the way.

It's like way more resource efficient.

It's incredibly alignable because your modular architectures to do one thing are very controllable.

It's not just like querying an LLM and doing what an LLM says.

It's more economically diverse.

It's more responsive to customers because you're building bespoke tools for bespoke places.

And it gets us away from

This pervasive sense of building an alien mind that's out of our control and God knows what it's going to do.