1.1 KiB
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 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.