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@@ -563,6 +563,19 @@ direction), not training-under-fault; wave-2 = co-training with faults injected
(expectation from the literature and from (c): tolerances IMPROVE). Feeds COMPONENT_HW_MAP.md
(per-row status updated) + UIUC outreach dossier.
+### RESULT 16 (2026-07-13): STAGE-2 DATA PIPELINE LIVE + FINEWEB SMOKE PASSED.
+`prepare_fineweb.py`: FineWeb-Edu sample-10BT -> 32k ByteLevel BPE (<|eot|> id 0) -> uint16 bins,
+tinystories_bpe format, `--data` flag added to both trainers. SMOKE_READY in 11 min (download 5min
+@80MB/s, tokenizer train 39s on 1.5GB, shard0 5min = 755M tokens; val = first 20M, disjoint).
+Full 14 shards -> ~10.5B tokens (running, ~50 min ETA at 754M/5.4min per shard).
+**fw_smoke (L12 C512 32k-vocab = 72.11M, --amp, 400 steps, GPU1): CE 10.51 -> 5.84, cos(EP,BP)
+0.9999@0 / 0.9951@100 / 0.9995@400, ZERO skips, drift 0.002.** The estimator + amp + beta-governance
+(sig grew 3.9->58, beta floored by step 100 — wall-1 machinery engaged correctly on the harder
+corpus) all transfer to real web text at 4x vocab unchanged. Speed 0.89 it/s at this shape (bigger
+head). Stage-2 recipe question OPEN for user: T=1024 (web-native context) vs T=256 (strict
+TinyStories comparability) for the 300M run. NOTE: the "BP twin 2.9746" line in DONE prints is the
+stale TinyStories reference (cosmetic); no fineweb BP twin exists yet.
+
### RESULT 15 (2026-07-12): bf16 MIXED PRECISION (--amp) VALIDATED — lossless at 4k, 1.56x wall-clock.
The /2-class cost lever, same-day pipeline: amp_gate.py static gate -> trainer flag -> 3-seed A/B.
SEMANTICS (why this lives while naive-cast --bf16 is dead): params/states/displacements/E-accum stay