Health●●Solid
Health optimization as agent-guiding gradient descent
Research-as-loss-function lets stale-knowledge agents guide health optimization via gradients.
Big BrainNiche Gem
dingmuti
103mo ago
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A new search paradigm where documents have gravity, queries converge into basins, and multi-signal scoring uses interference instead of linear fusion.
36 starsRust
I rebuilt search using physics instead of statistics. +18.5% NDCG 10
by KendallCBooker·Apr 4, 2026·2 points·0 comments
AI Analysis
●●●BangerBig BrainWizardryZero to One
Gravity-based search with interference scoring beats linear fusion by 18.5% NDCG.
Strengths
- •Genuinely novel paradigm replacing nearest-neighbor search with gradient descent convergence
- •Interference terms (sqrt(V*T)) capture signal agreement instead of losing information
- •Pure Rust implementation with sub-millisecond latency and formal proofs included
Weaknesses
- •Physics metaphor may confuse teams expecting standard vector search APIs
- •Adoption depends on convincing engineers to abandon familiar BM25/HNSW patterns
Category
Target Audience
Search engineers, ML researchers building custom retrieval systems
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