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A 48.6M-parameter Co4 LM trained from scratch for 1.9B tokens on a 16-core CPU VM, with hybrid Muon/AdamW optimization and retention-aware post-training.
InfraTwin lets engineers and WebMCP agents share one live network ChangePlan, using deterministic analysis and verified optimization to catch risky changes before production.
HydroSwarm turns sparse contamination evidence into physics-verified decisions by localizing likely sources, choosing the next sample, rejecting unsafe plans, and keeping humans in control.
CafeteriaSense uses AI to help cafeteria managers predict school food waste before service starts. Schools reduce costs by 10-25%, prevent environmental damage, and feed more families.
