Ely Greenfield

It's a good grounding for us to remember application of this stuff to real world problems and to just the grunt work of applying the stuff in between the creative pieces.

That's how we can serve our community most.

So it's great to hear that applause and be like, oh, right.

Yeah, you know, it's funny if you look at the history of development in all of our flagship tools, Photoshop, Illustrator, Premiere, After Effects, all of them, you know, we have this well understood core set of tasks to be done for these people and for our customers and things like being able to accurately select something or being able to composite two pieces of an image.

Photoshop is a compositing tool.

So how do you bring two things together and make them feel like they belong together?

Right.

They're new wizard-like technology we're constantly innovating on, but that idea of correctly select and mask an object, that's been a core problem statement for our customers for decades, right?

Harmonizing two things, that is a core problem statement.

And in many ways,

Again, the research and the technology we put out is always how do we improve that practice and reduce the time, make it more productive.

Gen AI, I kind of like to talk about it as for 35 years now, the first version of Photoshop sort of invented digital technology.

are digital images and it was black and white.

But other than that, you know, like any image you can make in Photoshop today, you can make back then with a pencil, right?

Assuming it's black and white.

But back then it was literally, you know, flipping individual bits on.

And everything we've done since then is how do we take creative productivity enhancing technology to sort of elevate that conversation so that the human can, you know, again, invest in their creative work, think about what they want to do, bring their expertise to the table.

But the production aspect of it,

It's more and more of asking this assistant to realize their vision.

And this is kind of another step in that.