New work with Roberta Raileanu: A Compositional Framework for Open-ended Intelligence Open-ended intelligence is the capacity to adapt to novel problems & environments that are substantially different from those seen in training. But most models of open-mindedness don't have c…
AI Weekly's analysis
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- Momennejad and Raileanu define open-ended intelligence as compositional closure L(P,C) from minimal primitives and operators, not behavioral diversity.
- The framework proposes 'next primitive prediction' training, targeting reuse of algorithmic primitives rather than next-token or latent-state prediction.
- Three evaluation metrics (PRI, CDG, TaR) are proposed to measure compositional generalization, but the paper presents no empirical benchmark results.
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