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Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI

paperactiveprovisionalbeyond-fixed-representations-the-vocabulary-and-verifier-gaps-in-open-ended-ai-f51119d2·1 events·first seen 11h ago

Aliases: Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI

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5arXiv · cs.LG·11h ago·source ↗

Paper proposes 'vocabulary gap' and 'verifier gap' framework for open-ended AI innovation

A new arXiv preprint argues that current AI systems are fundamentally limited by fixed representational frames — they search within a given conceptual vocabulary rather than inventing new primitives. The authors characterize this limitation through two gaps: the vocabulary gap (inability to create and stabilize new representational primitives) and the verifier gap (inability to evaluate a primitive whose value is only apparent after future reuse). They propose a 'ladder of innovation autonomy' and outline architectural directions including persistent memory for invented primitives and adaptive verification mechanisms.

Evaluation and Benchmarking AI Safety Research Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI