I en tid hvor kunstig intelligens (AI) ændrer planlægning og logisk bevarelse i den virkelige verden er videomodeller blevet et centralt led i AI-udvikling, der kan forudsige fremtiden præcist ved at udføre deres egne handlinger. Men en vigtig hindring for fremskridt er at bevare langtidsbevarelsen af disse modeller. Problemet er: Endvidere er videomodeller blevet en centralt led i udviklingen af videoer, men når videomodellerne er mere effektive, kan de mere nøjagtige resultater blive opnået, men når de er mere effektive, kan de nye modeller (Mode Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss, Loss,