AIfa-BioBench

Benchmark results for fly-inspired algorithms, published together with the cases where ordinary methods win. In vector retrieval the sparse fly-style projection reaches 39.55% Recall@10 against exact FAISS at 100%, and is slower (43.9 ms vs 8.8 ms). In the binary duel it uses 85x fewer non-zero weights than Sign-LSH but scores 18.9% against 80.5%. A sweep over the claw count finds the fly's d=6 is not the optimum here, and in the agent benchmark the gain comes from remembering visited links, not the bio-inspired modules. The engine code stays closed; only the numbers are here.

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#benchmark#negative-result#flyhash#sparse-coding#timestamped-results#flywire