He interpret is about to verify if your photos are real!

18 Sept 2026 · 1 min

Watch on YouTube

0:46

In this YouTube monologue, Dan Novaes explains how AI can now generate realistic photos, audio, and video in seconds, making traditional visual trust—"seeing is believing"—obsolete. As AI-generated fakes become harder to detect after creation, tech companies are shifting focus from asking "is this fake?" to proving the origin of media. Novaes introduces the concept of content credentials, a digital receipt attached to media that records its source and edit history, enabling verification of provenance rather than reliance on visual perception. He argues that the future of the internet will hinge on the ability to authenticate media origins, making provenance verification the critical safeguard in the AI era.

Chapters

Seeing used to be believing. AI is destroying that rule. A realistic photo can now be generated in seconds. So can a voice recording. Or a video of someone saying something they never actually said. And as AI improves, detecting fake content after it's created is getting harder. That's why tech companies are working on a different approach. Instead of asking, is this fake? They're trying to prove, where did this come from? One method is called content credentials. Think of it like a digital receipt attached to media. It can record information about where an image came from and how it was edited. So instead of trusting your eyes, you could check its history. That's a major shift. Because the future of the internet may not depend on detecting every fake. It may depend on verifying what's real. In the AI era, the most important thing about a photo might not be what it shows. It might be whether it can prove where it came from.