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How OpenAI's Sora model is DIFFERENT #ai #openai

February 22, 202400:58
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if you haven't seen it Sora is the text
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video model from open Ai and this if you
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weren't studying it would look like a
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major feature of film the traditional
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approach for rendering video is you
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create three-dimensional objects and
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then you have a rendering engine that
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renders those objects and then you have
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a system that defines where the camera
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goes and that's how you get the visual
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that you use to generate a 2d movie like
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this this doesn't do that this was a
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train model so how would you train a
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model to do this without having a 3D
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space the compute necessary to Define
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each of those objects place them in 3D
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space is practically impossible today my
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guess is that open AI used a tool like
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Unreal Engine 5 and generated tons and
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tons of video content tagged it labeled
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it and we're then able to use that to
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train this model that can for whatever
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reason that we don't understand do this
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you're referring to synthetic training
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data exactly

Podspun Insights

In this episode, the discussion dives deep into the revolutionary capabilities of Sora, OpenAI's text video model. The conversation unpacks the traditional methods of video rendering, contrasting them with Sora's groundbreaking approach that eschews the need for a 3D space. Listeners are taken on a journey through the complexities of training models using synthetic data, with fascinating insights into the potential tools like Unreal Engine 5 that could have been employed. This episode is not just a technical breakdown; it’s a thrilling exploration of the future of video technology and the mysteries behind how AI can create stunning visuals without conventional methods.

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Episode Highlights

  • The Future of Video Rendering
    Exploring how traditional rendering differs from synthetic training models.
    “This doesn't do that; this was a train model.”
    @ 00m 24s
    February 22, 2024
  • Challenges in 3D Object Definition
    Discussing the complexities of defining 3D objects for rendering.
    “The compute necessary to define each of those objects is practically impossible today.”
    @ 00m 32s
    February 22, 2024

Episode Quotes

Key Moments

  • 3D Rendering Challenges00:32
  • Synthetic Training00:56