Make an editorial-style "quality vs. cost" scatter plot of the text-to-video models on the Artificial Analysis leaderboard artificialanalysis.ai/video/…

I've been thinking about something as more and more AI agents start generating videos. A lot of people are asking: if agents can create hundreds of videos, how are we supposed to review all of them? I actually think that's the wrong way to look at it. Today, most agents communicate with us through text. They do research, analyze information, and give us a long report to read. But why does everything have to come back as text? I think it depends on what the agent is trying to do. If an agent needs me to make a decision, confirm something, or give feedback, text is probably the best format. It's quick, precise, and easy to interact with. But if an agent is trying to explain something to me, that's a different story. For example, recently I wanted to understand how JEV works, what it does, and the different use cases. Instead of spending an hour going through documents and links, I just asked my agent to research it and explain everything back to me in a video. And I loved that experience. I could just watch and listen. The combination of visuals, audio, and explanation made it much easier for me to build an understanding of the topic. It got me thinking that we've been looking at agent-generated video mostly as a content creation problem. But I think there's a much bigger opportunity here. Video could become one of the most natural ways for agents to communicate with humans. Not every interaction needs to be a video. Text is still great for back-and-forth communication. But when an agent has done the work and wants to present what it learned, why shouldn't it just explain it to me through video? I think we're going to see a lot more of this. And personally, I'm pretty excited about that future.