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docs(blog): remove private repo link, use brain-links comment
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_posts/2026-06-04-lesson-injection-null-result.md

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@@ -76,8 +76,11 @@ The design implication is that hunting for "which lessons to prioritize" via LOO
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deltas is chasing noise. The real lever is a richer reward signal: if the grade
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vector included safety, correctness, tool efficiency, and code quality
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separately, individual lessons might show up clearly in one dimension even if
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they wash out in the composite. That's what [ErikBjare/bob#632](https://github.com/ErikBjare/bob/issues/632)
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is for.
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they wash out in the composite. That's the next structural improvement on the
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roadmap: a multivariate session grade that replaces the single productivity
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composite with a reward vector.
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<!-- brain links: https://github.com/ErikBjare/bob/issues/632 -->
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The practical consequence for the lesson system: keep adding lessons when you hit
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a failure mode worth capturing, but don't optimize for individual LOO scores.

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