Dwarkesh Patel

A category of questions I have for you is just explaining

how one teaches technical or scientific content well, because you are one of the world masters at it.

And then I'm curious both about how you think about it for content you've already put out there on YouTube, but also to the extent it's any different, how you think about it for Eureka.

But you are building it, right?

Mm-hmm.

To the extent you're willing to say it, what is the thing you hope will be released this year or next year?

Yeah, so you're imagining the short term that instead of a tutor being able to probe your understanding, if you have enough self-awareness to be able to probe yourself, you're never going to be stuck.

You can find the right answer between talking to the TA or talking to an LLM and looking at the reference implementation.

It sounds like...

Automation or AI is actually not as significant.

So far, the big alpha here is your ability to explain AI codified in the source material of the class, right?

That's fundamentally what the course is.

And so when you imagine what is available through Eureka in a couple of years, it seems like the big bottleneck is going to be finding Karpathis in field after field who can convert their understanding into these ramps, right?

But are you imagining that, like, people who have expertise in other fields are then contributing courses?

Or do you feel like it's actually quite essential to the vision that you, given your understanding of how you want to teach, are the one designing the content?

Like, I don't know, Sal Khan is, like, narrating all the videos of Khan Academy.

Are you imagining something like that?

Yeah.

Yeah, I think you're basically inventing college from first principles for the tools that are available today and then just like for just like selecting for people who have the motivation and the interest of actually really engaging with material.

I mean, that sounds different from...