Azeem Azhar

He backed people, he valued friendship, and he remained sceptical, not ideological.

And I hope that

R. Bradley will help me do a better job in exponential view.

R. Gulbenkian is perhaps the most controversial name.

So Kallust Gulbenkian was a business architect who, at the turn of the 20th century, catalyzed the formation of the oil economy.

Now, I have a few misgivings about Gulbenkian, but his role was essential to shaping the 20th century.

And R. Gulbenkian's focus is on the data and the frameworks that help make sense of

the burgeoning AI economy.

But equally, I've started to do some really large scale simulations to figure out difficult questions.

So we can simulate any kind of audience of readers or of potential customers or of clients who I might be talking to.

And we can test ideas before we get there.

doing it in silico in much the same way as the aerospace industry has used CFD computational fluid dynamics to test the shape of wings and planes and other surfaces before they actually build them.

A large scale simulation for us can take 150, 200, 250 million

tokens.

And there is some cost to something like that.

You know, 250 million tokens isn't free, but it's about 10 to 50 bucks.

And it's not nothing, but it's certainly 100 times cheaper than doing it in the real world and perhaps priceless if we get to a better outcome for an argument we're making for our community.

But in doing this, I've also started to notice a shift in the way that I use the AI models.

And it's something that we have pointed to and argued as sort of theoretically being the case.

But now I'm seeing it in our own behavior a couple of years later, which is that now that I have an AI chief of staff in our mini Arnold.