When journalist Evan Ratliff used an AI clone of his voice to call friends, they either reacted with curious excitement or felt genuinely upset and deceived. This reveals the lack of a middle ground in human response to AI impersonation.

The development of advanced surveillance in China required training models to distinguish between real humans and synthetic media. This technological push inadvertently propelled deepfake and face detection advancements globally, which were then repurposed for consumer applications like AI-generated face filters.

The proliferation of deepfakes is a positive development because it democratizes media manipulation, which was previously exclusive to well-resourced entities. This widespread availability of synthetic media will force the public to become more skeptical of video evidence and less likely to form opinions based on short, decontextualized clips.

As AI makes it impossible to distinguish real from fake online content (the 'dead internet theory'), society will be forced to question reality itself. This skepticism is ultimately beneficial, as it will lead people to place a higher value on tangible, verifiable experiences like physical touch, nature, and in-person connection, which cannot be digitally replicated.

The controversy over AI-generated content extends far beyond intellectual property. The emotional distress caused to families, as articulated by Zelda Williams regarding deepfakes of her late father, highlights a profound and often overlooked human cost of puppeteering the likenesses of deceased individuals.

As AI begins to create simulations indistinguishable from reality, technological solutions for verification will fail. Survival in this new era depends on developing critical literacy: the human ability to evaluate sources, understand bias, and question all narratives.

The rise of convincing AI-generated deepfakes will soon make video and audio evidence unreliable. The solution will be the blockchain, a decentralized, unalterable ledger. Content will be "minted" on-chain to provide a verifiable, timestamped record of authenticity that no single entity can control or manipulate.

Counterintuitively, as AI makes it easy to fake any video or audio, the power of "gotcha" recordings will diminish. The plausible deniability of "it could be a deepfake" may free people from the social surveillance state created by smartphone cameras.

The rapid advancement of AI-generated video will soon make it impossible to distinguish real footage from deepfakes. This will cause a societal shift, eroding the concept of 'video proof' which has been a cornerstone of trust for the past century.