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Open‑world AI
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- 16 OctPaper defines three requirements for open‑world AI systems
Researchers propose that open‑world AI needs inference‑time learning, rich representations, and predictive disentanglement to handle novel tasks. They test these requirements on language models (up to 8B parameters) and find models meeting them improve with related task data while others degrade.
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