Sam Altman

to go do what seemed ludicrous, which was to spend a billion dollars scaling up a GPT model.

So I think that was important.

That would have been a much better way to phrase it.

I don't think it's true that experience and ability doesn't generalize at all.

But many people try to generalize it too much.

I should have said something about like in your area of expertise.

But there's nuance because I also think you should be willing to like do new things.

You know, I was an investor and not an AI lab executive, you know, six or seven years ago.

In that world, I think you want to get even more towards the like really core underlying principles that you believe in and that work for you because yeah, even more valuable.

Me too.

First of all, I think humans have got to set the rules like AI can follow them and we should hold AIs to following whatever we collectively decide the rules are.

But humans have got to set those.

Second, I think people seem incapable not to think in historical analogy.

And I understand that and I don't think it's all bad, but I think it's kind of bad because

The historical examples just are not like the future examples.

So what I would encourage is people to ground the discussion as much as they can in what makes AI different than anything before based off what we know right now, not kind of wild speculation, and then trying to design a system that works for that.

One thing that I really believe is deploying AI as a tool that significantly increases individual ability, individual will, whatever you want to call it, is a very good strategy for our current situation and better than one before.

company or adversary or person or whatever, kind of using all the AI power in the world today.

But I will also cheerfully admit that I don't know what happens as the AIs become more agentic in the big way, not like we can go give them a task where they program for three hours, but where we can have them go off and do something very complicated that would normally require like a whole organization over many years.

And I suspect we'll have to figure out new models.