Does AI text-to-video even make sense?

12 Ağu 01:26

A few months ago, I was working on an e-commerce project where I needed to generate automatic product videos based on text descriptions from customers. I experimented by taking text outputs from GPT-4 and feeding them into Pika Labs. The initial results were incredible—a three-second video of a "wired sound system" showed the speakers' lights flashing with consistent colors. But by the fourth attempt, the system suddenly swapped the speakers for armchairs, and the background shifted from an office setting to a fake forest. All consistency was gone. The real challenge is maintaining consistency. I’ve seen similar issues with Stability AI’s new model—when I ran the same prompt three times, each output showed a different character holding a different object in a "food video." For longer videos, I struggled with inconsistent facial features, misplaced objects, and even shifting lighting. Anthropomorphic details, like hand positions, were the worst—most models couldn’t even hold tiny objects like rice grains. I think synthetic videos will clearly become tools for manipulation in the future. News channels are already issuing warnings about fake "live broadcast" videos. The most dangerous part isn’t realism—it’s the ease of mass production. Ads that once required huge teams and weeks of work can now be made with a few clicks. Regulations are coming, but determining who’s responsible will be incredibly difficult. Similar issues exist in voice synthesis—last week, a CEO who never does interviews was "quoted" in a fake audio interview.