Preserved for evaluation, provenance, quality analysis, and cross-generator research. No downstream model-training or weight-update
🔄 In a Training Loop
Raul Montoya Cardenas
rmems
AI & ML interests
Early-career AI/ML experimental systems and Agentic systems
Recent Activity
new activity about 5 hours ago
rmems/mcp-tool-schema-drift-trajectories:Snapshot published raw tail r1243-r1410 from outputs/raw/2026-08-19-agenticOrganizations
None yet
Preserved for evaluation, provenance, quality analysis, and cross-generator research. No downstream model-training or weight-update
Preserved for evaluation, provenance, quality analysis, and cross-generator research. No downstream model-training or weight-update
My experimental spiking neural network, built from scratch: the SNN model, its supervisor trajectory + telemetry datasets, and the routing research.
Structural parse of open Grok-1 + route-preservation ternary GOZ1 quant experiments (Grok Build: Grok 4.5 high).