Lily James Olds

It's so great to have you with us today.

So, does this mean we can all stop panicking about AI?

Okay, I'm going to come back to that because I have a lot of questions on that.

But just to start, so you say that looking into nature helped you and your team grow.

invent these liquid neural networks, and in particular, one specific worm that surprisingly shares a lot in common with humans.

Now, this is totally wild to me.

I had no idea that I was so closely related to a worm.

Can you tell me a bit more about how this worm's brain inspired your discovery of liquid neural networks?

That's so crazy that that discovery came from nature so directly.

So back to where you started this conversation.

Right now, we don't have the transparency into how current AI systems work.

As you said, it's a black box.

And you said that this is the problem and why we don't have control over these systems.

I guess my first question is just how did we get to this point?

Why weren't these AI systems built with transparency as a core tenet?

So how are the liquid neural networks different?

So why are they more trustworthy and why do we have more control over them at scale?

Something that's been on my mind and many people's minds a lot is how can we make sure that AI systems are built on ethical frameworks and inclusive data?

So fascinating.

I have to say this conversation does make me feel a little bit more at ease.