Can AI learn to see the world as we do? Testing real-world videos for object recognition and understanding

Great question - and one we've been thinking about a lot! Both structured metadata and multi-modal inputs play a critical role in improving AI performance, but if I had to choose, I'd say structured metadata will likely have the most immediate impact. By providing clearly labeled, time-synced context around each video frame, we're giving the AI a much stronger foundation for understanding what it's looking at and when. That said, multi-modal inputs (like audio and language cues) are essential for contextual understanding. They help the AI grasp the why or how behind what's happening in a scene - something static images can't provide alone. Ultimately, it's the combination of both that will unlock the full potential. We're excited to test how they complement each other and where we see the biggest gains! Thanks again for the thoughtful question!