A new study published in Nature reveals that artificial intelligence systems are developing an unexpected ability to reason about physical objects and their interactions in three-dimensional space, a skill previously thought to be uniquely human. Researchers trained a large language model on vast datasets of text and simple 3D simulations, finding it could predict outcomes …
A new study published in Nature reveals that artificial intelligence systems are developing an unexpected ability to reason about physical objects and their interactions in three-dimensional space, a skill previously thought to be uniquely human. Researchers trained a large language model on vast datasets of text and simple 3D simulations, finding it could predict outcomes like object stability and collision with surprising accuracy. This emergent capability, not explicitly programmed, suggests foundational models may be building internal representations of the physical world. The findings could accelerate robotics and autonomous system development but also raise questions about the opaque nature of AI reasoning. For the full details, read the complete article at https://technologyreview.com/2024/05/15/ai-physical-reasoning-study.
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