Ian Dunning

That's what I'm a little worried about.

I think so.

I think we're good at training models.

We have a lot of compute and people are good at doing the cycle of research, which is required to catch up to the sort of frontier.

However, I guess reaching the frontier is clearly a very daunting task.

So maybe it's with some effort DeepSeq, but...

Beyond that, it's not a claim I'd be willing to make.

It's a hugely capital-intensive task, clearly.

Oh, we think about it.

I mean, I think perhaps we missed our moment to do so.

There's so many open models now coming out from the US as well as China that it's like a...

huge array of them.

It's kind of an interesting shift from that deep-seeking moment where it felt like it was the first bolt from the blue of, like, here's a competitive open model.

Now I see so many groups releasing them.

I don't know what the future of open models is if they're all kind of a serious step back and the frontier is progressing so fast.

I don't know how you...

keep up with that.

But many people believe that it's possible.

I'm not so sure I'm one of those people, though.

God, now I sound like a San Francisco person.