Mario Harik

Correct.

And I usually do it with more than one platform because each one of them will have slightly different takeaways than what the takeaways that I had.

And I think the variability between them can make you spot things that you didn't see or that you, you know, you were skimmed over or you thought were not important, but suddenly these two AI platforms tell you, well, this is the point you actually is, it's very important.

And again, you get, you can get more information and more, more actionable stuff that you can do that you can do with it as well.

It's tough to tell what the world would look like from a physical robust perspective, because the speed at which AI is developing is very, very, very fast.

So it's tough to tell.

If I look today at how effective robots are,

there's still a lot of room for things to improve.

So today, when you think about robotics, robots have predominantly evolved or effective robots that can be used in business to have a very specific application in how they work.

So for example, part of our company,

We used to be one of the largest warehousing operators in the world.

And you think about robots in that space, you could have an autonomous robot that looks effectively like a square that is just kind of going on the floor of a warehouse.

And then it has a panel that can hold shelves of goods.

And it brings the right shelf of goods to a human picker sitting stationary now, as opposed to having a human having to walk through a picking area to pick the products to ship to a customer when you buy something online, as an example.

So a lot of the robotic applications have been very specific in scope.

to solve a specific problem is what has been effective so far.

If you think, however, about humanoid robots, I think humanoid robots are effectively trained to do what humans do, how we move our hands, how we perceive the world through vision, how we perceive the world through hearing.

And that's a much tougher task to solve for because you're trying to fit

an AI model that typically works great in a digital setting, deals with content, and now you're trying to make it perceive the world the same way a human does.

There's another component of it would be, for a humanoid robot to be effective, we as humans have emotions, have effectively things that we perceive the world with, whether it's empathy, whether it's compassion, whether it's anxiety, whether it's effectively, we have emotions that shape our behavior.