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Is AI bringing an end to the oldest debate in philosophy?
- The debate on the nature of meaning, whether objective or subjective, has a long history in philosophy.
- A recent scientific paper from Cornell University reveals that different AI language models converge towards the same geometric structure of meaning.
- This discovery echoes Plato's Theory of Forms, suggesting a universal structure beyond individual instances.
- AI language models use embeddings to represent concepts as points in multidimensional space, showing semantic relationships.
- Different AI models, trained independently, organize meaning similarly, suggesting an underlying universal structure.
- The discovery enables translating embeddings between models, raising both technical possibilities and security concerns.
- The implications go beyond engineering, raising philosophical questions about the nature of meaning and its objectivity.
- It challenges the belief in cultural construction of meaning and intersects with ongoing debates like gender ideology.
- The study suggests deep structural constraints in how meanings are organized, hinting at cognitive, logical, or even ontological regularities.
- The discovery poses a paradox between relativism and universals, hinting at a geometric foundation for meaning inherent in our representations.
- While offering new insights, it also poses risks in terms of understanding and potentially controlling the semantic space of intelligences.
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