2026-02-26T07-56-48_auto_memory/memories.db-wal, memory/2026-02-26-model-in

memory/2026-02-26-model-integration-exploration.md

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+# 2026-02-26 Session Notes
+
+## Model Integration Exploration
+
+Nicholai requested the ability to integrate an ML model alongside OpenMarketUI's existing heuristic trading pipeline, drawing inspiration from two references: `cross-attention.md` and the `microgpt` implementation.
+
+Claude began orientation work by reading the microgpt reference to understand the architecture. MicroGPT is a faithful Rust implementation of Karpathy's microgpt.py with operation-level autograd optimization—instead of building thousands of scalar Value nodes per operation, it uses Vec<f64> tensor operations where each matmul, softmax, and rmsnorm is a single tape entry. This efficient approach contrasts with traditional per-element autograd.
+
+Note: `docs/cross-attention.md` was discovered to be the Signet Memory Pipeline v2 spec rather than a trading-specific cross-attention design, suggesting the filename may be misleading or the reference intent differed from the actual content.
+
+Session was in initial exploration/orientation phase when captured. No implementation work had begun yet.