24:05 So I think that it's it's very possible if you know all of the different signal requirements and all the different nets throughout your board to then enumerate all of those potential concerns of, like, you know, I have a a noise source here. I have a bunch of sensitive things here. Let's calculate the crosstalk. Let's see if it's within spec. Check.
40:53 You know, computational geometries is, deceptively difficult to do correctly. Writing the basic operations and then making them fast is okay, a straightforward engineering task. But, like, trying to come up with strategies and planning and figuring out how to train the neural nets in ways that they actually learn. I don't know how to say it. It's just difficult.
38:25 Right? So you will go through and define for these nets, I have 1 amps, 2 amps, or I really want, like, a specific trace width for some reason. Great. When you click run, Voltor will pass that off to a big cluster, and a bunch of GPUs, bunch of CPUs, and go spin and do stuff. And we will generate a whole bunch of candidates.