Rob Wiblin

That's not the end of the world necessarily.

People might go for that.

Okay, so assuming that this idea makes sense technically for now, what can Law Zero do in the coming months?

I guess we're in a race against time here.

We don't have very long.

What can be done in the near future to convince people that this idea is feasible, that it can actually be used in practice, that this is something that people should really be putting serious resources into?

Are you more pessimistic about the companies winning the cat and mouse game than at least than maybe the staff at Anthropica about their own chances?

Or is it that you think it's good what they're doing?

It's good for people to go and make the best attempt that they can at that.

But also we should have a diverse portfolio and also be like considering significantly alternative approaches as well.

Both.

I mean, I think if you read the system cards, I'm not sure how confident they come across as, but yeah, yeah.

I guess in the press release maybe.

Is it possible to go ahead and train a really scrappy version of this kind of AI really quite soon, maybe in the next couple of months or at least the next year?

I mean, remember GPT-1, was it back in 2018 or something?

It was complete rubbish, but I guess it was a proof of concept that you could make a model like this that was quite interesting and gave people a lot of enthusiasm and drove a lot of people into the industry.

And it does seem like, can't you just take, we already have enormous corpuses of text

We can use language models to basically just label all of these, to pull out, I guess, the best data, label who said what, when, and where.

Then we can also get them to produce a set of things that we think of as basically verified facts that we largely trust with a bit of human oversight.

I mean, they can be conservative to start with, not include controversial things, just include things that 99.9% of people would agree with.