AI does not merely flood the internet with fakes; it erodes the background assumptions that made the difference between fake and authentic seem legible in the first place.
The older regime of visual evidence relied on a mechanical chain: light bounced off an object, struck a sensor, and left a chemical or electrical trace. That chain gave us a causal guarantee. Generative models break the chain and replace it with a statistical pattern of examples. The camera used to say, "This happened." Now the model says, "This is plausible." In a world saturated by plausibility, the indexical force of testimony is quietly dissolving.
To see the shift in stark terms, consider how we evaluate a photograph in the two regimes:
| Dimension | Indexical Reality | Algorithmic Hyperreality |
|---|---|---|
| Source | Event, recorded by a physical artifact | Model, sampled from latent distribution |
| Trust | Grounded in causal chain of capture | Grounded in statistical plausibility |
| Temporality | Present tense of occurrence | Perpetual recombinatorial now |
| Failure mode | Forgery, detectable by chain of custody | Indistinguishability, detection by guesswork |
What makes this a philosophical event, not merely a technical one, is that it changes the grammar of evidence. In the past, suspicion had to be earned by anomalies. Under algorithmic hyperreality, suspicion is the default posture, and the realistic representation is just one more candidate for disbelief. The burden of proof has flipped, and with it, the very texture of the social world.
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