David Hoffman

And it was of the Iranian conflict, which has been a great testbed of people's ability to see and understand what's AI versus what's not.

And this was a video of Israel getting just pounded by missiles.

And, you know, upon further inspection, I would look in and zoom into the video and see a lot of the buildings were copy and pasted and the cars on the street were incoherent shapes that didn't really make sense.

And, you know, a few other features that made it very clear that what I was looking at was AI generated.

And so am I doing verification in that role by doing that process of like, these are the things in this video that I, using my own weights, as you described, my brain weights, I'm identifying that this, I'm verifying that this is AI slop.

And maybe I could take my weights.

And if I was in charge of the model, I'd be like, let's make the cars better.

Let's fix these copy and pasting buildings.

Let's fix all these things that are very clearly AI.

And I can like maybe reprompt for a better video.

And that's me using my verification ability plus my own talents to actually produce a better output.

That's the gap.

that is valuable that we are trying to measure.

Where's the part where I get less anxious?

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