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What is Lacking in Sora and V-JEPA’s World Models? -A Philosophical Analysis of Video AIs Through the Theory of Productive Imagination

Zhang, Jianqiu (2024) What is Lacking in Sora and V-JEPA’s World Models? -A Philosophical Analysis of Video AIs Through the Theory of Productive Imagination. [Preprint]

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Abstract

Sora from Open AI has shown exceptional performance, yet it faces scrutiny over whether its technological prowess equates to an authentic comprehension of reality. Critics contend that it lacks a foundational grasp of the world, a deficiency V-JEPA from Meta aims to amend with its joint embedding approach. This debate is vital for steering the future direction of Artificial General Intelligence(AGI). We enrich this debate by developing a theory of productive imagination that generates a coherent world model based on Kantian philosophy. We identify three indispensable components of the coherent world model capable of genuine world understanding: representations of isolated objects, an a priori law of change across space and time, and Kantian categories. Our analysis reveals that Sora is limited because of its oversight of the a priori law of change and Kantian categories, flaws that are not rectifiable through scaling up the training. V-JEPA learns the context-dependent aspect of the a priori law of change. Yet it fails to fully comprehend Kantian categories and incorporate experience, leading us to conclude that neither system currently achieves a comprehensive world understanding. Nevertheless, each system has developed components essential to advancing an integrated AI productive imagination-understanding engine. Finally, we propose an innovative training framework for an AI productive imagination-understanding engine, centered around a joint embedding system designed to transform disordered perceptual input into a structured, coherent world model. Our philosophical analysis pinpoints critical challenges within contemporary video AI technologies and a pathway toward achieving an AI system capable of genuine world understanding, such that it can be applied for reasoning and planning in the future.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Zhang, Jianqiumichelle.zhang@utsa.edu0000-0002-4812-4403
Keywords: Video generative AIs, Video AIs, Kant Philosophy, Productive Imagination, World Models, Real World Models, Sora, V-JEPA, World Simulators, Artificial General Intelligence, AGI
Subjects: Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Cognitive Science > Perception
Depositing User: Jianqiu Zhang
Date Deposited: 16 May 2024 11:00
Last Modified: 16 May 2024 11:00
Item ID: 23434
Subjects: Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Cognitive Science > Perception
Date: 15 May 2024
URI: https://philsci-archive.pitt.edu/id/eprint/23434

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