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This paper systematically investigates Semantic IDs (SIDs) in generative recommendation, finding that while SIDs preserve coarse item organization, they lose fine local structure from the encoder. The authors propose Item-Supported Decoding (ISD), a lightweight inference-time method that improves NDCG@10 by up to 31.2% without additional parameters or retraining.
BioInsight is a multi-agent system that transforms static biomedical reports into interactive, evidence-centered interfaces by organizing disease-specific evidence through structured artifacts and deterministic citation normalization.
The NOVA framework models the 'generate, verify, accumulate, retrain' loop as an adaptive sampling process over a knowledge space, identifying failure modes and proving a scaling law for cumulative generation cost under Zipf-like discovery distributions.
Recursive Superintelligence, a new startup aiming to automate knowledge discovery with self-improving AI, has launched with over $650 million in funding led by GV and Greycroft.