the properties of video, right, to to make it even clearer. There's five challenges in dealing with video. Number one is temporal, right? So, depends on before and after. So, frame by itself can can be misleading, right? The same expression, product shot, physical action can mean different things depending on the sequence around it, right? Second is that video is obviously multimodal as I I explained already. Um you know, a transcript alone may miss, you know, the logo, a frame alone may miss the spoken claim. Video Video is also very dense, right? So, a few minutes can contain dozens of shots, people, objects, action, location claims. The useful signal is uneven across the distribution on on the frame. Some seconds are decisive, others are noisy. Fourth is that uh video is also ambiguous, right? Um people reappear under different lighting and angles, brands are partially visible, location are implied, concepts emerge over time rather than being named in a single moment. And lastly, it is uh expensive uh because in a lot of uh big enterprise and in complex workflow, you need to, you know, point back to the source moment, like where it come from, right? So, these are the five properties explaining why video memory um is is very complex. You need to preserve temporal span, multimodal evidence, continuity, all of that. Uh this is a very simple uh stack of how