Peter McCrory

speaker

628 appearances 3 recordings 3 series first heard Jan 2026 last heard 19 Jun

Peter McCrory’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 1.

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Odd Lots · Anthropic's Co-Founder and Top Economist on Doing Research at the AI Frontier · 19 Jun 2026 podcast

As I mentioned before, these very complex tasks rely on disproportionately more contextual information than very basic document synthesis and summarization.

What that points in the direction of are the complementary investments that large businesses need to make to centralize, codify, and make available the data that does exist somewhere within the organization.

But for historic and technical reasons, maybe even regulatory reasons, it's

behind a firewall of some form or another.

There's also like sort of organizational workflow changes that likely need to be made.

Some of the most crucial information that's needed for some types of cognitive work is tacit knowledge that exists in your colleagues mind.

And unless you have a process that elicits that information that workers feel

sort of incentivized to share that information and kind of trust the system, the capabilities alone might not necessarily generate that productivity.

And so whether or not big firms end up restructuring themselves quickly enough or whether this materializes through the process of creative destruction, I think the jury is still a bit out.

I think, you know, it's a good way to develop good virtue is to just act in kindness towards the model.

It's like you're developing a habit of interacting with some type of intelligence that might not be the same type of intelligence that we have.

I was going to say that understanding how and to what extent these models can understand your preferences and then execute on your behalf will increasingly be a really important aspect of how it changes the economy.

So there's delegated agents that go out and transact on your behalf.

We ran this experiment at the end of late last year.

basically enlisting a bunch of anthropic employees to take surveys with Claude to say what they'd be willing to buy from other people and what they'd be willing to sell.

And then we set up centralized marketplaces where the Claude's just interacted and bought and sold and actually executed transactions.

One of the interesting things that came out was that these models were quite good at understanding preferences, even when they were not fully articulated.

I think that especially for the questions you were asking before about under what conditions do these models do what you ask them to do, there's a lot of commerce is built on this notion of trust.

And I think prioritizing safe aligned models that are incredibly capable is a great strategy for establishing that trust.

And so I don't anticipate it.

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