Neuro Pipelines
A few thoughts that came to mind after the last post.
Let’s take video generation — it produces a video output, and what to do with it next is clear: editing, compositing, color correction. These are proven tools and methods refined over the years.
What young folks are now inventing in the style of online editing alongside generation — no one needs that. You will still edit in familiar programs like CapCut, Premiere, or DaVinci Resolve — because they are more convenient. Web interfaces won’t replace professional editors anytime soon. At best — they offer a timeline (and maybe not always), where you can specify to RE-GENERATE a frame or select specific scenes for new generation. But we will still cut videos outside the browser.
And what about the input stage?
Before neural networks, we created videos using two main methods: through production — filming, and post-production — graphics and editing.
Filming is a complex, chaotic process with its own established pipeline, terminology, teams, and constant communication.
Working with animation (3D or 2D) for film, advertising, or fashion projects is also a fairly complex field with its own standards and established workflows.
The output — a video (I’m simplifying a bit, but the meaning is clear).
And then generators appear: you insert a prompt here, an image there — and go!
Then it dawns on them that there is a culture and pipelines that were talked about earlier.
And it begins:
– Let’s specify scene transition lengths in the prompt (like trying to edit before editing)
– Let’s upload storyboards here
– Let’s automatically generate a script for it
– Let’s include camera parameters and shooting instructions so the bot can prompt everything in its own jargon
– Let’s connect agents — let them simulate work on set or in post-production. They will argue with each other just as they should.
– Alpha? No, never heard of it. Some kind of devilry. Compositors don’t know anything about that.
Do you see? Recreating years of established workflows inside a browser — madness and at the same time a challenge.
By the way, companies like Utopai are betting specifically on this direction and are leading the race in this crazy pursuit.
Alternative options? For example, Kling Motion Control or Luma Agents and other video-to-video systems, where traditional video acts as a driver for video generation.
But to get that familiar type of video — the same skills and methods as before are needed. And here’s the problem.
Why this elevated tone?
The point is, teaching users terminology and trying to convey the shooting process directly in the browser is hopeless. People are lazy and prefer simpler solutions. Those who understand technical process details are a minority compared to those who simply don’t want or can’t understand.
Therefore, interfaces and pipelines should be created specifically for those who don’t understand.
One button — the main example. Add a microphone or popcorn to it — and that’s it! And a course on how to express ideas aloud (honestly: you need to assemble a script from clicks on “Generate,” then trim the excess).
Everything else can be trusted to neural networks.
My message: we are heading toward a market split into two parts. Professional video generators with complex UI/UX for specialists and simple three-button solutions for mass users — like Notepad versus Word or MovieMaker versus Premiere. Like Paint versus Photoshop.
This is my view of the future.
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