How will we distinguish between real and AI-generated content as technology advances, and what systems might emerge to track content authenticity?

The speaker argues that the distinction between real and AI-generated content will become increasingly irrelevant as technology evolves. Most content today is already "artificial" to some extent - from Instagram filters to Hollywood special effects - yet we evaluate it based on its message and quality rather than production methods. To address authenticity concerns, the speaker proposes developing systems similar to YouTube's copyright detection (Shazam technology) that could create a "chain of content" tracking. This would involve a centralized database, potentially blockchain-based, where all content is registered upon creation, allowing platforms to automatically identify original sources and flag manipulated or miscontextualized content. Such systems could combat disinformation by automatically flagging when old images are presented as recent news, similar to how YouTube detects copyrighted music and provides proper attribution or monetization to rights holders.