All right, welcome to your undivided attention. I'm Tristan Harris, and I'm Azeraska.

And there's a lot of things that are moving with AI, most of it can feel overwhelming,

if you open Twitter. But as many things that are developing with AI, there's a lot of developments

in the response to AI. How do we get this right? How do we end up in a stable world?

And we wanted to make sure that you listeners were aware of some of the things that actually are

happening that are good news. This week, Vice President Harris and Secretary of Commerce,

General Mundo are attending the UK AI Summit. We're seeing many governments around the world stepping

up and treating this problem seriously. We're seeing that China will be attending the UK AI Summit

this week. The G7 group of industrialized countries released an 11 point code of conduct

for AI companies, including rules for advanced foundation models. There's also been private meetings

where Western and Chinese academic AI researchers have been meeting to discuss shared frameworks

for getting to AI safety. There's also a public letter for an AI treaty, AItreaty.org,

that's urging the need for an international agreement on AI safety. And also, we personally

have been busy. About two weeks ago, I did a appearance on Bill Mar, talking about how we

respond to AI risks. And I just flew back from Washington, D.C., where I was with President Biden

for the announcement of the long awaited executive order on AI, which is what this episode is all about.

So this 111 page executive order is a sweeping announcement that imposes guardrails on

many aspects of the new AI models. One of the remarkable things about this executive order

is that it really takes seriously the full scale of impacts AI has in society, and that's why

it's so broad. So it mandates that companies share internal testing data, and very importantly,

that companies must notify the government when they are training new frontier foundation models.

That is models that go beyond 10 to the 26 flops, which is a fancy way of saying things that

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