Jack Clark

speaker

541 appearances 1 recordings 1 series first heard Mar 2026 last heard 27 Mar

Jack Clark’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Mar 2026 with 1.

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Hard Fork · The Ezra Klein Show: How Fast Will A.I. Agents Rip Through the Economy? · 27 Mar 2026 podcast

What I then did is I then just said to Claude, hey, I'm going to write some software of Claude code.

I want you to interview me about this software I want to build and turn that into a specification document that I can give Claude code.

And then that time it worked really, really well because I'd structured the work to be specific enough and detailed enough that the system could work with it.

So often it's not just knowing what the task is, because you and I could talk about a task to do and you have intuition, you ask me probing questions, all of this stuff.

It's making sure that you've set it up so it's like a message in a bottle that you can chuck into the thing and it'll go away and do a lot of work.

So that message better be extremely detailed and really capture what you're trying to do.

Mostly, we just needed to make the AI systems smart enough that when they made mistakes, they could spot that they'd make a mistake and knew that they needed to do something different.

So really what this came down to was just making smarter systems and giving them a bit of a coaxing tool to help them do useful stuff for you.

Smart here means we've made the AI systems have a broad enough understanding of the world that they've started to develop something that looks like intuition.

And you'll see this where if they're narrating to themselves how they're solving a task, they'll say,

Jack asked me to go and find this particular research paper, but when I look in the archive, I don't see it.

Maybe that's because I'm in the wrong place.

I should look elsewhere.

You're like, there you go.

You've got some intuitions for how to solve a problem now.

How do they develop that intuition?

Previously, the whole way you trained these AI systems was on a huge amount of text and just getting them to try and make predictions about it.

But in recent years, the rise of these so-called reasoning systems is you're now training them to not just make predictions, but solve problems.

And that relies on them

being put into environments ranging from a spreadsheet to a calculator to scientific software, using tools and figuring out how to do more complicated things.

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