Chuck Nice

If we take a step back... You're assuming there's just one scary bit.

No, I'm not.

I'm going to go one at a time.

Artificial neural networks.

If you could break that down to the very basic level for us of how it's been able to strengthen, weaken messaging and signaling and how it fires and how it then finds itself at where it is now.

So that's a collaboration between clusters of neurons that get you to an endpoint.

And diabolically.

Is this the lightbulb moment where the neural networks no longer need the human teacher?

Is this the beginning of that process?

So what period of time are we talking about here when you fall into the backpropagation thoughts?

To Chuck's point about computational power, was it just that?

Because at the moment, you sound a lot like you've got theory that seems like it could be, but the practicality is there's not enough computational power.

Do we have any other technology that came through that was the enabling aspect to this?

So if we have AI that's thinking, and I'm saying that knowing that you've just explained that they do, are they better at learning than we are?

And let's sort of take that forward and think, what is the evolution from thinking to predicting to being creative to understanding?

And are we then going to fall into an awareness of this intelligence?

So going back to the point of scale, you're saying there's a point where you get diminished returns even though you keep increasing the scale?

So, are we at a point of self-awareness with artificial intelligence right now?

It is a Pandora's box.

Oh my goodness.