Professor David Farrier

the places that we are embedded in and rethinking ourselves as one node in the larger web, if you like.

So going all the way back to what ought to be, I mean, what ought to be for me is not growth that is infinite, but rather an idea of growth as abundance that is embedded in place.

That's rooted in the knowledge that we are.

part of our environment and that real intelligence is a collaboration.

Real intelligence in the natural world, I think, is instinctively collaborative.

And some of the most extraordinary examples of what look like intelligent behavior are actually collaborations between

entities in an ecosystem.

So yeah, I mean, I think it's very likely we're going to see some kind of interspecies translation engine.

in the near future.

I think, you know, there's so much resource going into this.

Yes, yeah.

Although, I mean, the big, of course, we know that the big thing with AI is the size of the data set.

And that's the big challenge for most of these research groups is getting a large enough data set of, you know, recordings of different kinds of animal communication, vocalisation and so on.

And, you know, sorting through that and signal for noise and so on.

However, there's so much of a drive to this.

It's hard to see how we won't have that.

And I'm really excited.

I want to get that out.

I have questions, but I would love to know what is it the dolphins are saying to each other, or even just to have a hint of that.

I suppose for me the caution comes in is to what extent do we suppose we have, what level of insight do we suppose that gives us into the world?