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ronaldtse merged 1 commit into from
Oct 9, 2026
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docs: TODO.sota 30 #287

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1 change: 1 addition & 0 deletions TODO.sota/00-README.md
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Expand Up @@ -65,6 +65,7 @@ hf jobs run --flavor a100-large -d \
| 25 | 25-ar-news-specialist.md | P1 | 17 | VERDICT: OOD 10.13/8.98 (crown), ID 5.50; export staged |
| 27 | 27-ar-large-id-arm.md | P1 | — | NEGATIVE — 2.5765 parity with r7; capacity closed on AR too |
| 28 | 28-oracle-complementarity.md | P2 | — | CLOSED — ceiling 96.78 real; naive voting catastrophic |
| 30 | 30-heb-learned-ipa-v0.md | P1 | 09 | RUNNING (run-032, FLEURS audio-supervised student) |
| 26 | 26-heb-noisy-student.md | P1 | 04 | stage 1 RUNNING (labeling); stage 2 staged |

## Schedule
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11 changes: 11 additions & 0 deletions TODO.sota/30-heb-learned-ipa-v0.md
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# WO30 — Hebrew learned-IPA v0 (first trained Hebrew G2P we own)

RUNNING (run-032, l4x1): FLEURS he_il (~5K utterances, CC-BY-4.0)
phoneme-labeled by the universal CTC (the stage-2-GO supervision) →
byt5-small seq2seq text→IPA student, small-data regime.

- Gate: phonikud heb-g2p-benchmark CER < our rules layer (0.2393).
- Stretch: Nakdimon-class (0.1102).
- If v0 clears the gate: scale decision = ivrit.ai (~1,700h at
$0.28/audio-hour ≈ $500) for the ReNikud-class run.
- NO LLM labels anywhere in the chain.
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