AI Cinematic Realism

AI Cinematic Realism

Sale price  $24.99 Regular price $29.99
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AI Cinematic Realism

AI Cinematic Realism

Sale price  $24.99 Regular price $29.99
What does realism mean when no camera was ever present?

For a century, a film was "real" because light from the world struck film or a sensor. AI-generated cinema breaks that bond completely: no lens, no scene, no event—only a model reaching through a century of cinema to construct an image of something that never happened. So what makes a synthetic image ring true?

AI Cinematic Realism argues that the old forensic question—is this real?—is the wrong one. The question that matters is: is this true? Realism after the camera is not fidelity to a recorded world; it is coherence, felt before it is judged—and coherence is never an accident. Someone builds it, means it, and answers for it.

This fully revised and expanded Second Edition keeps the original argument—the philosophical rupture, the manifesto, the ethics of synthetic truth—and builds on it a complete working architecture:

- The Ideational Frame—the eight cinematic commitments every synthetic image inherits.
- The Three Strata—the perceptual, environmental, and authorial layers along which realism succeeds or fails.
- The Craft Grammar—a century of staging, lighting, and cinematography retooled for the latent space.
- The Four Pillars of conscious assembly—where the maker stops imitating the camera and authors beyond it.
- A Forty-Point Rubric—a practical instrument for critics, juries, students, and makers to judge synthetic cinema.
- Intentional Seeing—a pedagogy that trains the very faculties an AI-saturated world is most at risk of losing.

Drawing on Kracauer, Bazin, Husserl, and Merleau-Ponty—and on the author's own filmmaking practice, from a decade with the lens to the move into AI synthesis—this is a rigorous, usable account of how synthetic images make meaning, how to tell when they ring true, and what those who make them owe to those who watch.

For filmmakers, scholars, educators, and anyone thinking clearly about the image in the age of generative AI.

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