Built a training stability monitor that detects instability before your loss curve shows anything — open sourced the core today
Reddit - Artificial Intelligence
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Been working on a weight divergence trajectory curvature approach to detecting neural network training instability. Treats weight updates as geometric objects and measures when the trajectory starts bending wrong — catches problems well before loss diverges. Validated across 7 architectures including DistilBERT, GPT-2, ResNet-50. 100% detection rate, 0% false positives across a 30-seed benchmark. Open sourced the detection core today. Links in comments. submitted by /u/Turbulent-Tap6723 [link...
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Originally published on March 31, 2026.
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