AI Model

In training

Not released

CS: a small model learning to place storms

842,436 parameters in a 3.4 MB file. For reference, GraphCast is 37M and DGMR is 50M+. The numbers below are dev benchmarks, including the runs that failed. Skill means better than persistence, which is repeating the last frame. Zero percent is a rock.

Training now

CS1.2: same skill, better aim

830-pair winter outbreak holdout it never trained on. Model MSE 0.0121 against persistence 0.0198. The headline: winter CSI went from 0.009 to 0.26, and false alarms dropped from 0.99 to 0.73 for the first time.

RunSkill over persistence
CS1.2 winter holdout38.8%
CS1.0 honest holdout38.3%
ThresholdCSIPODFAR
25 dBZ0.430.900.55
35 dBZ0.260.790.72
45 dBZ0.150.420.81
55 dBZ0.060.160.90

Rain placement is solved. Severe placement is the work in progress. 55+ dBZ is still the frontier.

CS1.2 benchmark charts

Graded

CS1.0: beats doing nothing

Honest holdout number is 38.3%. The higher splits are reported with their caveats, not hidden: the national random split leaks, and the quad-state slice is one storm type.

SplitSkill over persistenceCSI at 35 dBZ
Quad-state winter slice52.4%0.009
National random split (leaks)49.7%0.47
Run-1 honest holdout38.3%0.35

Winter lines defeat everyone, including this model at 0.009. That gap is what CS1.2 exists to close.

CS1.0 benchmark charts

Dead run

CS1.1: the run that died

Mid-training pulses on one 20-pair winter slice. The run died at cycle 56 of 85 and never graded, so treat it as provisional. Skill fell as it specialized, 52.4 to 44.6 to 35.9. Detection started firing, POD climbing 0.157 to 0.201, but false alarms stuck at 0.99. The lesson survived: recall without aim. CS1.2 billed the false alarms.

CheckpointSkillPOD at 35FAR
CS1.0 weights52.4%0.1570.99
CS1.1 cycle ~544.6%0.1140.99
CS1.1 cycle 5635.9%0.2010.99
CS1.1 benchmark charts

Latest snapshot

Training log

Last completed streaming cycle, 85 of 85, about 4 hours wall time. 61 new pairs plus 4096 replay, 830-pair holdout bank with 17 empty skipped.

MetricValue
Loss0.01153
Skill over persistence38.8%
Validation MSE0.01213
Persistence MSE0.01982
Validation CSI0.2557
Validation POD0.7918
Validation FAR0.7259
Training log snapshot

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We post updated numbers as runs complete. Nothing here is for sale yet.

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