Are All AIs Becoming the Same?

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• The Problem with ‘Dirty Data’

• The Integration of AI in Healthcare

🧠 Platonic AI: Are All AIs Becoming the Same?

A new theory suggests that future AI models might all converge toward a singular 'platonic' representation, interpreting the world in the same way. This convergence could have profound economic and philosophical implications, indicating that AI might uncover and predict reality itself.

Representations in AI

AI models understand the world through representations—compressed descriptions of concepts turned into vectors. These vectors allow machines to interpret concepts numerically and measure their similarity. In this high-dimensional space, related concepts are closer together, helping AI models build an understanding of the world.

The Platonic Representation Theory

Researchers suggest that if AI models are converging, their representations should become similar across different modalities (e.g., language and vision models). For instance, the concept of 'red' should be interpreted similarly by both language and vision models if they reflect the true nature of reality. This convergence suggests a universal way of understanding reality, akin to Plato's Allegory of the Cave.

Evidence of Convergence

Studies show that foundation models are indeed converging. Comparing LLMs and vision models reveals a strong correlation between LLM performance and alignment with vision models. As AI models get larger and more versatile, they tend to converge, indicating a unified understanding of reality.

Philosophical Implications

This convergence could mean that AIs are moving towards an unbiased view of reality. It raises questions about whether AIs can observe reality independently of human data, potentially leading to true artificial general intelligence (AGI). Current methods based on human data might never achieve AGI due to inherent human biases.

The Future of AI

If AIs can one day observe reality as it is, they might all share an identical definition of reality, leading to a new era of AI with unprecedented capabilities. This development hints at the creation of world models, essential for AIs to observe, adapt, and predict the world, paving the way for significant advancements in AI technology

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