The modern information landscape is so saturated with noise, deepfakes, and propaganda that discerning the truth requires an enormous investment of time and energy. This high "cost" leads not to believing falsehoods, but to a general disbelief in everything and an inability to form trusted opinions.

The ability to label a deepfake as 'fake' doesn't solve the problem. The greater danger is 'frequency bias,' where repeated exposure to a false message forms a strong mental association, making the idea stick even when it's consciously rejected as untrue.

The biggest political danger of deepfakes isn't that people will believe fake content. It's the "liar's dividend": politicians can now dismiss genuine, scandalous video evidence as a deepfake. This erodes video as a tool for accountability, a more subtle but profound threat to political discourse.

The modern media ecosystem is defined by the decomposition of truth. From AI-generated fake images to conspiracy theories blending real and fake documents on X, people are becoming accustomed to an environment where discerning absolute reality is difficult and are willing to live with that ambiguity.

The traditional social contract, where trusted institutions delivered verified information, has collapsed. Today's peer-to-peer information systems, like X (formerly Twitter), prioritize engagement over truth, creating an environment where populist and conspiratorial ideas thrive because they don't require procedural certainty to spread.

The host argues that in an era of personalized feeds, people subconsciously signal to algorithms: "Lie to me. Just tell me what I wanna hear. Enrage me just right." This makes them highly receptive to propaganda that reinforces their worldview, as challenging those beliefs requires difficult mental work they would rather avoid.

Beyond generating fake content, AI exacerbates public skepticism towards all information, even from established sources. This erodes the common factual basis on which society operates, making it harder for democracies to function as people can't even agree on the basic building blocks of information.

The sheer volume of conflicting, AI-generated information makes verifying truth too difficult. People then abandon the pursuit of accuracy and accept the least offensive falsehood, threatening the very value of truth itself.

According to Higgins, the most dangerous aspect of AI isn't its ability to generate sophisticated fakes. It's that the mere existence of AI provides a convenient, irrefutable excuse for anyone to dismiss legitimate photos or videos that challenge their worldview.