Gary O'Reilly

No, it's not.

It's just got a bunch of numbers.

And so I have a chip and I have a charged coupled device, a CCD.

It's collecting the light, it's assigning a value, and then that's the picture.

Now, but what you're talking about, wouldn't you have to assign...

a value to every single type of bird because some of what we do as human beings is intuit what a bird may be as opposed to recognizing the bird.

And let me just give you the example.

If you were to take a V, the letter V, and curve the straight lines of the letter V and put it in a cloud,

Everyone who sees that will say, that's a bird.

But yet it is- No, to me, it's a curved V. But there is no bird there.

I just know that is a bird.

That's not a mathematical value now.

Right.

I got you.

Okay.

So wouldn't that require then...

training this neural net on every possible way a bird can manifest in a photo so that it can intuit what a bird might be when a bird is not there.

It really is going on locally, yeah.

Interesting.

Well, what you're describing sounds like putting together a very large puzzle right now.