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.

Trend

recordings per month · last 12 months

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

Appearances

newest first · ▶ plays the moment

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

Yes, and this is the issue that all of society is going to contend with.

Just large chunks of the world are going to now have many of the kind of low-level decisions and bits of work being done by AI systems, and we're going to need to make sense of it.

And making sense of it is going to require building many technologies that you might think of as kind of oversight technologies or...

you know in the same way that a dam has things that regulate like how much water can go through it at different levels of different points in time we're going to end up developing some notion of

integrity of all of our systems and where AI can kind of flow quickly, where it should be slow, where you definitely need human oversight.

And that's going to be the task of not just for AI companies, but institutions in general in the coming years is figuring out what does this governance regime look like now that we've given a load of basically schlep work over to machines that work on our behalf.

And how are you doing it?

It would be a bad day for Anthropic.

If Claude, like, RMRF'd the entire file system.

I have no idea what that means, but great.

If Claude deleted the code, it would be bad.

The biggest thing that is happening across the company and on teams that I manage is basically building monitoring systems to monitor all of the different places that the work is now happening.

So we recently published research on studying how people use agents and how people let agents kind of push increasingly large amounts of code over time.

So the more familiar you get with an agent, the more you tend to delegate to it.

That cues us to all kinds of patterns that we need to build systems of evaluation for, basically saying, oh, okay, at this person's point of working with the AI system, it's likely that they're massively delegating it.

So anything that we're doing to check correctness needs to be kind of turned up in these moments.

Eventually, yes.

And I think that the thing that we are now spending all of our time on is making that visible to us.

A year or two ago, we built a system that let us, in a privacy preserving way, look at the conversations that people were having with our AI system.

And then we gained this map, this giant map of all of the topics that people were talking to Claude about.

Showing 181–200 of 541 · page 10 of 28