When a new technology breaks an old definition, the reflex is to invent a middle ground. In commercial media, that middle ground is a sanctuary for slop.
In the philosophy of technology, there is a recurring intellectual reflex you can spot whenever a new system breaks an old definition. It is called the interpolation move.
You see it across the literature. When Shannon Vallor noticed that classical ethics struggled with modern technology, she did not update the old frameworks; she interpolated a middle category called 'technomoral virtue'. When Nemoto looked at AI agency and found it neither fully present nor entirely absent, he proposed 'continuous intentionality' as a middle ground. And when Ori Freiman examined whether we acquire beliefs from conversational AI via testimony (like a person) or via instruments (like a thermometer), he found the fit imperfect. Rather than doing the hard work of redefining what testimony actually requires in an automated age, he rejected both and invented 'technology-based belief'.
The interpolation move is highly seductive. Faced with an entity that breaks a binary, you simply wedge a third category between the two poles. But while it looks like theoretical innovation, it is usually an intellectual retreat. Interpolating a new category is a polite way of refusing to update your core theory. It creates a bespoke holding pen for the anomaly so the old rules do not have to change.
In commercial advertising, this exact reflex is currently destroying the credibility of generative media.
The sanctuary of the middle ground
When agencies adopted AI image generators, they realised the outputs did not meet the strict evidentiary standards of a photograph. They also lacked the deliberate, line-by-line communicative intent of an illustration. Rather than demanding the machine meet one of these existing standards, the industry made the interpolation move. They invented a third category: 'GenAI content'.
By naming this middle category, operators granted themselves a waiver from the physics of reality. If an image is a photograph, a cinematographer can audit it. If the shadows diverge or the depth of field violates the focal length, the image is falsified. But if the image is 'GenAI content', it is suddenly immune to physical audit. It exists in an epistemic no-man's-land where a 15mm lens can magically produce 200mm compression, and nobody is allowed to call it wrong.
This is where persuasion breaks down. We operate on the principle of anchoring: a viewer's expectation of truth is heavily anchored to the visual vocabulary of the lens. When you present an image that borrows the aesthetic of photography but ignores its optical physics, the visual system detects the contradiction. We treat the resulting friction—often categorised as the uncanny valley—not as a fixed biological law, but as a highly reliable working hypothesis for why synthetic media fails to convert. The eye expects optical consistency; when it finds an interpolated approximation instead, the authority of the message collapses.
Refusing the interpolation
This is why NeuraScene's ontology engine is entirely rigid. We do not produce 'AI imagery'. We produce simulated photography, and we force the system to answer to the exact historical, optical, and physical constraints of the hardware we specify. If we prompt a 1973 anamorphic lens, the system must render the precise distortion characteristics of that exact glass. The output is strictly falsifiable.
Our compositions rely on robust perceptual mechanics, like the law of closure, where the visual system automatically completes implied shapes and boundaries based on natural scene statistics. If the simulated lighting or lens compression contradicts the physical geometry of the scene, the closure fails. The grouping phenomena shatter.
You cannot cheat the eye's statistical expectations by inventing a new aesthetic category. The interpolation move might save a philosopher from rewriting a syllabus, but it will not save an agency from a failed campaign. If you want the credibility of a photograph, you must obey the physics of the lens.
Method note. This piece was built in NeuraScene's Advertising Mode using an explicit psychological frame:
- Persuasion trigger: Anchoring
- Target affect: Uncanny Valley / Dread
- Gestalt principle: Law of Closure
This combination targets the technical skepticism of the audience. By anchoring their expectations to real optics, the campaign frames the 'uncanny valley' not as a mystical AI flaw, but as a mechanical failure of visual closure, establishing NeuraScene's strict physical ontology as the only viable solution.
