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Decompose, Don't Expand: Capability-Independent AI Systems by Construction

arXiv cs.AI ↗ · 2026-10-31 Cached

A paper arguing that instead of expanding models to handle hard tasks, developers should decompose them by extracting deterministic sub-tasks to a host, leaving only a small generative core to the model — demonstrating 'parity by construction' where model size no longer affects performance on extracted sub-tasks across nine models.

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