AI cinematography series - EP1: Can AI understand a DUTCH ANGLE? In cinema, tilting the camera creates psychological unease (think The Third Man). I tested this with Runway and Grok, paid subs. Both completely failed. Here's why that matters:

honestly, people are sleeping on Video AI. this is just ByteDance Seedance 2.0. imagine what 3.0 does - probably forces a completely new paradigm in moviemaking altogether. think about it: not much has changed in how we *perceive* cinema. screens got bigger. that's... it? maybe this is where cinema actually starts changing. maybe the new cinema is spheres? immersive spaces instead of flat rectangles? especially when the cost to produce these experiences is dropping to near-zero. the distribution changed. the medium? still stuck in 1960. that might be about to break.

this is much better than many hollywood scenes! bytedance seedance 2.0 is cinema

this is literally how the next billion-view YouTube music videos are going to be made!

Damn, this building doesn't need VFX to feel like a sci-fi set. That's the whole point. Brutalist architecture does what most CGI can't - it creates mood through mass and void, not decoration. Clean sight lines, natural framing, built-in depth. The camera just shows up and the shot composes itself. Otani understood cinematography without ever touching a camera.

AI cinematography series - EP7: I tested 7 cinematography techniques against Grok and Runway. Final test - CHIAROSCURO: Caravaggio-style lighting. Half the face in light, half swallowed by shadow. Tutorial: youtube.com/watch?v=NzCXVfzQ… This was the only test about LIGHT, not cameras. And both nailed it. Runway: cinema-grade detail, skin textures, deep shadows. But temporal flickers on skin broke the illusion. Grok: rock-solid consistency frame to frame. But the fine details weren't there. After 7 days, the pattern is clear: AI understands what a scene LOOKS like. It doesn't understand how to FILM one. Lighting, mood, atmosphere - yes. Camera angles, movement, lens physics - still broken. These models were trained on frames, not cameras. Final score (see table attached): Grok: 5 | Both passed: 1 | Both failed: 1 Runway: 0 This series taught me more about how AI 'sees' than any paper I've read. #AIVideo #Cinematography #AIFilmmaking #Runway #Grok

we're watching temporal coherence become a "commodity"

Kling 3 is a remarkable model. This was a one-shot generation from an input image and text prompts - the model retained character, scene, and voice consistency across cuts 🤯 IMO this is a step-function change in capabilities. If you haven't tried it yet, head over to @fal!

at most 1 to 1.5 years - it's over. It's time to rethink the production pipeline.