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Atome LM Team
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FRONTIER: generalise A6 teacher reference (consistency with identity scrub)
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FRONTIER.md

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@@ -144,8 +144,8 @@ PYTHONPATH=. python3 scripts/run_ab_sweep.py \
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- **A5.** Real silicon. Flash an RP2040 with the engine + this 60.8 K
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ckpt. Measure tokens/sec, Joules/token. **The headline number that
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turns the claim from "frontier" into a fact.**
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- **A6.** Distillation from a strong teacher (GPT-4 / Claude on
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10 MB of curated narrow-domain text) into the same 60 K Atome.
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- **A6.** Distillation from a strong teacher LLM (10 MB of curated
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narrow-domain text generated by a frontier model) into the same 60 K Atome.
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Open question: does the architecture advantage compound under
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distillation?
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- **A7.** Bug A fix (Python `generate` ↔ C `atome_generate`

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