Eric Schmidt

I would not say that they're going fully closed, and I think also they got screwed up because the deep seek people, R1, did such a good job, right?

If you look at the reasoning model in deep seek, and in particular their ability to do reinforcement learning forward and back, forward and back, and forward and back, this is a major achievement, and it appears that they're doing it with less precision

than numeric precision than the American models.

As a bit of technical things, there's something called FP64, FP32, FP16.

The American models are typically using 16-bit precision for their training.

The Chinese are pushing 8 and now even 4.

Well, a number of the large companies have said that they want to be leaders in open source as well.

Sam Altman indicated that the smallest version of the O3 model would be released, I believe, open weights, and they have done so.

And he told me anyway that this model is much smaller than 10 to the 26th, it's much easier to train, and it will fit or can fit on your phone.

So one path is to say that we'll have these supercomputers doing AGI, which will always be incredibly expensive and so forth.

But we also have to watch to make sure that the proliferation of these models for handheld devices is under American control, whether it's OpenAI or Meta or Gemini or what have you.

I think you were the first investor or the earliest investor in it.

I was.

I'm sorry.

It's okay.

rockets are really cool and they're really hard I had I'm as you know I'm a pilot and I know lots about jets and I'd assume that rockets were as mature as jet engines they're not it is an art and a science these things are very hard to do the amounts of

In our case, the rocket is 4 million pounds of thrust.

You have to hold the thing down to test it, and you can't even hold it with metal things.

You have to have other things to hold it down as well.

There's so much force, otherwise it will take off.