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 26 minutes ago
rmems/multi-agent-ouroboros-swarm:fix(card): drop muse-spark/gpt model tags from Fable 5 card new activity about 1 hour ago
rmems/neuromorphic-event-language-bridge:fix(card): drop muse-spark/gpt model tags from Fable 5 card new activity about 1 hour ago
rmems/failure-as-fuel-preference-cascade:fix(card): drop muse-spark/gpt model tags from Fable 5 cardOrganizations
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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).