OpenAI’s Astra just scored 99.9% on ARC-AGI-3, effectively reaching human parity on a benchmark that tests whether a model can explore an unfamiliar environment, set its own goals, and plan its way through.
We are super close to AGI. AGI means an AI that not only matches human cognition but also has the potential to surpass it.
So let’s look at one useful use case you can apply today. In this video, we build scenes in Blender and use them to drive Seedance, giving you control over camera, composition and continuity that a text prompt alone will never give you.
You’ll learn:
– Why a 3D scene beats a text prompt for controlling AI video
– Setting up a basic scene in Blender from scratch
– Blocking your camera angle and movement before you generate anything
– Exporting the right frames to feed into Seedance
– Writing the Seedance prompt around your Blender render
– Keeping shots consistent across a full sequence
– Where this workflow breaks, and what to fix by hand
The goal isn’t to learn another AI tool.
The goal is to control the output, so your shot looks like the one in your head and not like the one the model guessed at.
Download all the Blender files:
Let me know in the comments: what would you build with this workflow?
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The Cutting Edge School is one of India’s most trusted brands for Enterprise Trainings on Al & Automations. CES has trained teams for The Economic Times, The Times of India, Dubai Future Foundation, Dubai Holdings, Lenskart, Reliance Digital, HP, Intel and many other global brands. They were also awarded the Best Al Educator of the Year by Economic Times Edge as well.
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